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Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA; Austin, TX; Illinois Workplace: onsite Overview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs. While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale. We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows. Project Details Job Title: Data Labeling Analyst Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)  Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $28/hour Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston, Chicago , Austin. Please only apply if you meet this location requirement. What You’ll Do Execute high-volume data labeling and annotation tasks across speech and voice datasets Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale Work with audio and language data, including transcription, categorization, and tagging Maintain strong throughput while meeting quality expectations Escalate unclear or ambiguous cases appropriately Adapt to evolving guidelines and workflows as systems and requirements change Support baseline data production needs for AI training pipelines Contribute to team calibrations and quality alignment sessions What We’re Looking For Native-level fluency in Portuguese (Portugal) Strong written communication skills and language fundamentals 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field. Ability to follow detailed instructions and apply guidelines consistently High attention to detail and ability to maintain accuracy in repetitive tasks Comfort working in structured, process-driven environments Ability to manage time effectively and maintain steady output Willingness to ask questions and escalate when needed Basic familiarity with AI, speech technology, or language data is a plus Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Onsite Perks (where applicable): Free breakfast, lunch, and dinner Stocked micro-kitchens with snacks and beverages Commuter benefits, including shuttles and bike-to-work options Unique campus features depending on location Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.   To know more details (Click here)   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.     As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Why This Role This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users. It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows.

Location: Lagos, Nigeria Renmoney is a microfinance bank focused on expanding access to financial services across Nigeria. We provide loans, savings, and payment solutions designed to work for everyday Nigerians. We are building a data-driven organization where insights, not assumptions, back decisions. Role Overview We are looking for a Business Analyst Intern who is passionate about data and problem-solving. In this role, you will analyze product and financial data, generate insights, and support decision-making across teams, including Product, Risk, and Finance. Key Responsibilities Dig into our product and financial data to find insights that drive real decisions (not slide decks) Build and maintain dashboards tracking MAU, Unit Economics, retention, and portfolio health Work directly with Product, Risk, and Finance teams to define and measure KPIs Support the modelling of customer cohorts, LTV, and NPL forecasting Translate messy data into clear, concise recommendations for the team Be part of the team building the analytics foundation as we scale from 40K to 3M active users Requirements Degree in a quantitative field (e.g., Economics, Statistics, Engineering, Mathematics, Computer Science) from a top university in Nigeria or South Africa Comfortable with SQL (or learning it fast), Excel, and at least one BI tool (Power BI, Tableau, Looker) Can explain a complex analysis to a non-technical stakeholder in plain English Detail-obsessed but know when to ship a "good enough" answer versus waiting for perfect Think in systems, you naturally ask "why?" two or three levels deeper than most people Fast and Deep thinker with an experience in the oil and gas sector within the petroleum engineering, geophysics, reservoir modelling, and production economic path Benefits Competitive salary aligned with the fintech market Exposure to senior leadership and cross-functional teams Clear growth path into senior roles within 12–18 months Opportunity to work on products impacting thousands of users Collaborative, high-performance team environment

Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Austin, TX; Los Angeles, CA; Chicago, IL; Boston, MA; Washington, D.C. Workplace: onsite Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality — bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right. You'll work closely with both people and AI systems — auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output. Project Details Job Title: Data Quality Analyst Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)  Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $38/hour   Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement. What You’ll Do Support quality and execution across DLA teams, ensuring work meets defined standards at scale Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency Act as the first line of support for DLAs — answering questions and helping interpret guidelines Help DLAs navigate ambiguity and apply evolving instructions effectively Support onboarding and training of new DLAs through hands-on guidance and coaching Monitor workflows, queues, and blockers — escalating risks and gaps to Team Leads Identify patterns, recurring issues, and edge cases in both human and model outputs Participate in calibrations, team discussions, and stakeholder syncs Contribute to improving guidelines, processes, and overall team performance Document findings and feedback in a clear, concise, and actionable way What We’re Looking For Native-level Portuguese (Portugal) language proficiency and a university degree (Bachelor’s or higher). B2 or superior level of English. 2–4 years of experience in data annotation, content quality, QA, or related fields Strong ability to interpret and apply complex guidelines with consistency Excellent attention to detail with a high bar for quality Ability to stay consistent while working with evolving guidelines and priorities Experience in AI/ML data workflows or human-in-the-loop evaluation environments Prior experience auditing or reviewing the work of others Familiarity with safety, compliance, or policy-driven content evaluation Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes. Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix. Unique Campus Features: Some locations include roof-top nature parks Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.   To know more details (Click here)   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.     As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.

Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Austin, TX; Los Angeles, CA; Washington, D.C.; Chicago, IL; Boston, MA Workplace: onsite Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality — bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right. You'll work closely with both people and AI systems — auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output. Project Details Job Title: Data Quality Analyst Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)  Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $38/hour   Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement. What You’ll Do Support quality and execution across DLA teams, ensuring work meets defined standards at scale Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency Act as the first line of support for DLAs — answering questions and helping interpret guidelines Help DLAs navigate ambiguity and apply evolving instructions effectively Support onboarding and training of new DLAs through hands-on guidance and coaching Monitor workflows, queues, and blockers — escalating risks and gaps to Team Leads Identify patterns, recurring issues, and edge cases in both human and model outputs Participate in calibrations, team discussions, and stakeholder syncs Contribute to improving guidelines, processes, and overall team performance Document findings and feedback in a clear, concise, and actionable way What We’re Looking For Native-level Spanish language proficiency and a university degree (Bachelor’s or higher). B2 or superior level of English. 2–4 years of experience in data annotation, content quality, QA, or related fields Strong ability to interpret and apply complex guidelines with consistency Excellent attention to detail with a high bar for quality Ability to stay consistent while working with evolving guidelines and priorities Experience in AI/ML data workflows or human-in-the-loop evaluation environments Prior experience auditing or reviewing the work of others Familiarity with safety, compliance, or policy-driven content evaluation Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes. Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix. Unique Campus Features: Some locations include roof-top nature parks Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.   To know more details (Click here)   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.     As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.

Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Austin, TX; Los Angeles, CA; Washington, D.C.; Chicago, IL; Boston, MA Workplace: onsite Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality — bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right. You'll work closely with both people and AI systems — auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output. Project Details Job Title: Data Quality Analyst Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)  Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $38/hour   Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement. What You’ll Do Support quality and execution across DLA teams, ensuring work meets defined standards at scale Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency Act as the first line of support for DLAs — answering questions and helping interpret guidelines Help DLAs navigate ambiguity and apply evolving instructions effectively Support onboarding and training of new DLAs through hands-on guidance and coaching Monitor workflows, queues, and blockers — escalating risks and gaps to Team Leads Identify patterns, recurring issues, and edge cases in both human and model outputs Participate in calibrations, team discussions, and stakeholder syncs Contribute to improving guidelines, processes, and overall team performance Document findings and feedback in a clear, concise, and actionable way What We’re Looking For Native-level German language proficiency and a university degree (Bachelor’s or higher). B2 or superior level of English. 2–4 years of experience in data annotation, content quality, QA, or related fields Strong ability to interpret and apply complex guidelines with consistency Excellent attention to detail with a high bar for quality Ability to stay consistent while working with evolving guidelines and priorities Experience in AI/ML data workflows or human-in-the-loop evaluation environments Prior experience auditing or reviewing the work of others Familiarity with safety, compliance, or policy-driven content evaluation Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes. Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix. Unique Campus Features: Some locations include roof-top nature parks Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.   To know more details (Click here)   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.     As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.

Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; Austin, TX; Los Angeles, CA; Washington, D.C.; Chicago, IL; Boston, MA Workplace: onsite Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality — bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right. You'll work closely with both people and AI systems — auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output. Project Details Job Title: Data Quality Analyst Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)  Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $38/hour   Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement. What You’ll Do Support quality and execution across DLA teams, ensuring work meets defined standards at scale Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency Act as the first line of support for DLAs — answering questions and helping interpret guidelines Help DLAs navigate ambiguity and apply evolving instructions effectively Support onboarding and training of new DLAs through hands-on guidance and coaching Monitor workflows, queues, and blockers — escalating risks and gaps to Team Leads Identify patterns, recurring issues, and edge cases in both human and model outputs Participate in calibrations, team discussions, and stakeholder syncs Contribute to improving guidelines, processes, and overall team performance Document findings and feedback in a clear, concise, and actionable way What We’re Looking For Native-level Italian language proficiency and a university degree (Bachelor’s or higher). B2 or superior level of English. 2–4 years of experience in data annotation, content quality, QA, or related fields Strong ability to interpret and apply complex guidelines with consistency Excellent attention to detail with a high bar for quality Ability to stay consistent while working with evolving guidelines and priorities Experience in AI/ML data workflows or human-in-the-loop evaluation environments Prior experience auditing or reviewing the work of others Familiarity with safety, compliance, or policy-driven content evaluation Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes. Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix. Unique Campus Features: Some locations include roof-top nature parks Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.   To know more details (Click here)   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.     As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.

Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Austin, TX; Los Angeles, CA; Washington, D.C.; Chicago, IL; Boston, MA Workplace: onsite Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality — bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right. You'll work closely with both people and AI systems — auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output. Project Details Job Title: Data Quality Analyst Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)  Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $38/hour   Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement. What You’ll Do Support quality and execution across DLA teams, ensuring work meets defined standards at scale Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency Act as the first line of support for DLAs — answering questions and helping interpret guidelines Help DLAs navigate ambiguity and apply evolving instructions effectively Support onboarding and training of new DLAs through hands-on guidance and coaching Monitor workflows, queues, and blockers — escalating risks and gaps to Team Leads Identify patterns, recurring issues, and edge cases in both human and model outputs Participate in calibrations, team discussions, and stakeholder syncs Contribute to improving guidelines, processes, and overall team performance Document findings and feedback in a clear, concise, and actionable way What We’re Looking For Native-level Turkish language proficiency and a university degree (Bachelor’s or higher). B2 or superior level of English. 2–4 years of experience in data annotation, content quality, QA, or related fields Strong ability to interpret and apply complex guidelines with consistency Excellent attention to detail with a high bar for quality Ability to stay consistent while working with evolving guidelines and priorities Experience in AI/ML data workflows or human-in-the-loop evaluation environments Prior experience auditing or reviewing the work of others Familiarity with safety, compliance, or policy-driven content evaluation Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes. Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix. Unique Campus Features: Some locations include roof-top nature parks Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.   To know more details (Click here)   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.     As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.

Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Austin, TX; Los Angeles, CA; Washington, D.C.; Chicago, IL; Boston, MA Workplace: onsite Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality — bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right. You'll work closely with both people and AI systems — auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output. Project Details Job Title: Data Quality Analyst Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)  Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $38/hour   Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement. What You’ll Do Support quality and execution across DLA teams, ensuring work meets defined standards at scale Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency Act as the first line of support for DLAs — answering questions and helping interpret guidelines Help DLAs navigate ambiguity and apply evolving instructions effectively Support onboarding and training of new DLAs through hands-on guidance and coaching Monitor workflows, queues, and blockers — escalating risks and gaps to Team Leads Identify patterns, recurring issues, and edge cases in both human and model outputs Participate in calibrations, team discussions, and stakeholder syncs Contribute to improving guidelines, processes, and overall team performance Document findings and feedback in a clear, concise, and actionable way What We’re Looking For Native-level language proficiency and a university degree (Bachelor’s or higher). B2 or superior level of English. 2–4 years of experience in data annotation, content quality, QA, or related fields Strong ability to interpret and apply complex guidelines with consistency Excellent attention to detail with a high bar for quality Ability to stay consistent while working with evolving guidelines and priorities Experience in AI/ML data workflows or human-in-the-loop evaluation environments Prior experience auditing or reviewing the work of others Familiarity with safety, compliance, or policy-driven content evaluation Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes. Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix. Unique Campus Features: Some locations include roof-top nature parks Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.   To know more details (Click here)   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.     As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.

Location: Lagos, Nigeria Role Summary The Card Product Analyst supports the development and optimization of card products by analyzing product performance, customer behavior, and financial metrics. The role provides insights that inform product strategy, pricing, and portfolio growth. Key Responsibilities Product Performance Analysis · Monitor card portfolio performance including spend, activation, utilization, and revenue. · Track KPIs such as card issuance, transaction volumes, and interchange income. Data Analysis & Insights · Analyze customer usage patterns and spending behaviors. · Provide insights to support product enhancements and marketing campaigns. Reporting & Dashboard Management · Develop and maintain product performance dashboards. · Prepare regular reports for management and stakeholders. Pricing & Profitability Analysis · Support pricing strategy through revenue and cost analysis. · Evaluate profitability across different card products and customer segments. Product Development Support · Assist in business case development for new card products. · Support product launch initiatives with data analysis and performance tracking. Requirements · Bachelor’s degree in Finance, Economics, Data Analytics, or related field. · 2–4 years experience in product analytics, banking analytics, or payments analytics. · Strong experience with Excel, SQL, Power BI, or similar tools.

Location: Tbilisi, Georgia Workplace: remote Novakid is on a mission to build the best online education platform for kids worldwide. We already have over 100,000 students and 4,500 teachers in 15+ countries across Asia, Europe and Latin America, and we want to grow faster. We are looking for a Product Analyst for our Growth squad. The squad owns the product side of the funnel, from the first visit to the first payment. You will spend most of your time as its analyst, working alongside marketing analytics, who own channels and attribution. What you will do: Own the funnel metrics from visit to payment and shape the squad’s roadmap with the PM Run the experiment cycle: decide whether an idea needs a test, size it on historical data, design and read A/B tests in GrowthBook, and use region-level comparisons where a classic A/B does not fit Build and maintain dbt models with tests and code review, and Metabase dashboards on top of them Keep funnel tracking reliable by defining events and data contracts with backend engineers Develop and support our AI analytics assistant: own the Growth domain in its knowledge base, review its answers and fix what it gets wrong Take requests from other teams through the analytics team’s shared intake Our stack: BigQuery, dbt, Metabase, GrowthBook, Bloomreach, Python, git with pull-request review. Claude Code/Cursor are part of daily work. You have 3+ years as a Product Analyst, preferably in B2C or a fast-growing company Excellent SQL and hands-on experience building data marts, ideally in dbt Python for analysis (pandas, numpy, scipy or statsmodels) A/B testing from design to evaluation: power, variance reduction, multiple-testing correction A solid grasp of funnel and unit economics in a subscription business The habit of turning analysis into a decision and explaining it clearly English B1+ for business communication Nice to have Causal inference or uplift modeling Applied ML in a business context Experience building or evaluating LLM-based tools What you get Fully remote work A chance to shape the future of AI-driven education Ownership of the acquisition funnel and its metrics, not a ticket queue Dedicated time for analytics infrastructure, not only squad requests A fun, dynamic team that loves building innovative products Unlimited holidays – because we trust you to deliver Bonuses and stock options – we grow together

О ПРОЕКТЕ Ptolemay — аутсорсинговая IT-компания полного цикла. Мы ищем сильного Senior BA для участия в долгосрочном проекте нашего заказчика. Это работа с data-heavy продуктом, где нужно глубокое погружение в аналитику, торговые процессы и DeFi. ВАШИ КЛЮЧЕВЫЕ ЗАДАЧИ — Requirement Management: Сбор, анализ и трансформация требований в User Stories и Use Cases. — Process Design: Описание бизнес-процессов и потоков данных (As-is / To-be). — Product Logic: Преобразование видения стейкхолдеров в четкую продуктовую логику. — Documentation: Создание и поддержка BRD/SRS, описание API и функциональных спецификаций. — Stakeholders: Проведение воркшопов и плотное взаимодействие с заказчиком. — Delivery Support: Поддержка команды разработки на всех этапах реализации. ЧТО МЫ ЖДЕМ ОТ ВАС — Experience: 5+ лет опыта работы Business Analyst в разработке ПО. — Domain: Обязательный бэкграунд в Fintech, Crypto или Trading. — Crypto Knowledge: Понимание механик кошельков, транзакций, токенов и DeFi. — Data Expert: Опыт работы с аналитическими платформами и дашбордами. — Hard Skills: Уверенное владение UML, BPMN и методологиями Agile. — Structure: Умение превращать хаотичные требования в прозрачную документацию. БУДЕТ ПЛЮСОМ — Понимание крипто-метрик (TVL, Volume, Liquidity, PnL). — Опыт работы с Real-time / Streaming данными. ПОЧЕМУ ЭТО КРУТО? — Stability: Стабильный долгосрочный проект в быстрорастущей нише. — Flexibility: Полная удаленка и возможность получать оплату в USDT. — Expertise: Работа со сложной бизнес-логикой и высоконагруженными системами.

Location: Dhahran, Saudi Arabia Eram Talent is looking for a detail-oriented and knowledgeable GRC (Governance, Risk, and Compliance) Analyst with COBIT certification to join our team. As a trusted Talent Acquisition partner, we serve various industries by providing top-notch recruitment solutions. The GRC Analyst will play a crucial role in ensuring that our clients' IT governance, risk management, and compliance frameworks are effectively designed, implemented, and maintained. The successful candidate will work closely with stakeholders to identify and assess risks, develop control frameworks based on COBIT standards, and ensure compliance with relevant regulations and policies. This role involves continuous monitoring, reporting, and improvement of governance processes to ensure operational excellence and risk mitigation. Key Responsibilities: Develop, implement, and maintain GRC frameworks using COBIT principles and best practices. Conduct risk assessments and internal control evaluations to identify gaps and recommend improvements. Monitor compliance with IT policies, procedures, and regulatory requirements. Collaborate with IT and business teams to ensure proper governance and risk mitigation strategies are in place. Prepare and present reports to senior management on governance, risk, and compliance statuses. Support audit activities and facilitate responses to audit findings related to IT governance. Stay updated on new regulations and frameworks affecting IT governance and compliance. Promote awareness and understanding of GRC practices across the organization. Requirements Bachelor’s degree in Information Technology, Computer Science, Business Administration, or a related field. Experience in developing and implementing governance frameworks. Familiarity with compliance standards (e.g., ISO 38500, COBIT, NIST). Experience managing governance-related projects, including the ability to define objectives, allocate resources, and monitor progress. Good understanding of IT governance principles and best practices COBIT certification is mandatory. ISO/IEC 35800 (Corporate Governance Of IT) is preferred Proven experience as a GRC analyst or similar role, preferably in IT governance and risk management. Strong understanding of IT governance frameworks, especially COBIT. Knowledge of compliance requirements, risk management methodologies, and regulatory frameworks. Excellent analytical, problem-solving, and communication skills. Ability to work collaboratively with cross-functional teams and senior management. Detail-oriented with strong organizational skills. Experience supporting IT audits and addressing audit findings. Knowledge of other governance frameworks (e.g., ISO 27001, ITIL) is a plus.

Location: Brazil Are you interested in working directly for a single sponsor while having the security and additional career opportunities that working for a global CRO can bring? Our team says it’s the best of both worlds…. ClinChoice is searching for a Regulatory Affairs Associate Consultant for 12 months Contract with possibility of extension to join one of our clients. ClinChoice is a global full-service CRO with a strong focus on quality, professional development, and supportive culture. As a client-facing role, we are looking for confident candidates with the ability to work independently whilst establishing a high-trust environment with the client’s counterparts. Job Title ANALYST REGULATORY AFFAIRS Consultant Job Summary Ensures proper submission and approvals for market licenses including new registrations, changes and timely renewals, and establishment registrations, organizing and balancing a multitude of projects simultaneously. Scope Major  Roles and Responsibilities Elaborate regulatory strategy and execute submission of changes, new registrations and renewals in timely manner with some guidance. Execute activities to obtain or update establishment registration licenses. Execute post-approval activities such as preparation of communications to stakeholders, labels and Instructions for Use and system updates. Request and follow-up of documentation to prepare registration dossiers. Supports regional team on product submissions schedules, prioritization, and pipeline management. Support internal and external audits with documentation requests. Interacts with other stakeholders, government agencies in a professional, decisive, & articulate manner. Act as a point of contact for stakeholders to support business plans and regulatory needs. Review labels compliance in internal system. ·       Support projects as representative of the subject/country. ·       Elaborate procedures of the area. ·       Organize team meetings and elaborate agenda and minutes. ·       Manage quality issues. ·       Manage compulsory certification (INMETRO) and GMP activities. Competencies Knowledge of Local & International Regulation and Processes Analytical capability and investigative skills Self-motivated and committed to a team approach Communicates clearly and effectively. Prioritizes work to meet deadlines Planning and Organizing skills Understands the importance of the adherence to compliance Project Management skills and ability to manage complex data with excel spreadsheets are desirable GLP Behaviors Collaboration and teaming Results & Performance Driven Sense of Urgency Integrity & Credo-based Actions Intellectual curiosity Self Awareness & Adaptability Experience/ Qualification  Requirements Must have 1-2 years experience at least working in Regulatory Environment (and/or training or equivalent combination of education and experience), preparing submissions for Brazilian Health Authorities and a successful track record. Desirable experience in Medical Devices or Pharma background. Education Requirements ·       A Bachelor’s Degree in Engineering, Pharmacy or other life science: Can be a person with related experience and/or training or equivalent combination of education and experience. Advanced reading and writing Skills in English are required; intermediate to advanced speaking is desirable. Fluent in Portuguese.

Location: Pune, India SaaS Revenue & Financial Analyst — Flosum (Pune, India) About Flosum Flosum is a Salesforce-native platform company delivering enterprise-grade DevOps, data protection, and security solutions to some of the world's largest organizations. Our product portfolio spans Cloud DevOps, Data Migrator, Data Masking, Data Backup, Org Security, Cloud Trust Center, and Sandbox Synchronization — all built natively on the Salesforce platform. We serve enterprise customers across technology, energy, financial services, healthcare, and federal government. Flosum is a growth-stage company operating with the intensity and speed of a startup backed by the discipline of a mature operator. The Role We're hiring a SaaS Revenue & Financial Analyst who will own the measurement layer of our entire business. You will be the person who knows every number — ARR, net retention, expansion, churn, pipeline conversion, cost of acquisition, gross margin by product line, services margin, cash flow, and everything in between. You'll work across Salesforce (our CRM and billing system of record) and QuickBooks (our financial system) to build a unified, always-current picture of company performance. This is not a reporting role. This is an analytical role where you connect revenue operations data to financial outcomes and surface the insights that drive decisions at the CEO level. What You'll Own You will build and maintain our SaaS metrics infrastructure — ARR waterfall, cohort retention analysis, revenue recognition schedules, deferred revenue tracking, and unit economics by segment. You will reconcile Salesforce bookings data against QuickBooks revenue entries and ensure we have a single source of truth across both systems. You will produce monthly and quarterly financial and revenue packages for leadership, including variance analysis against plan. You will model scenarios for pricing changes, product bundling, geographic expansion, and headcount investment. You will monitor pipeline health and translate pipeline data into revenue forecasts with documented assumptions. You will own the data integrity between our CRM and accounting systems, flagging discrepancies before they compound. You will support board-level and investor-level reporting with clean, defensible metrics. What We're Looking For You have three-plus years of experience in SaaS financial analysis, revenue operations, or FP&A at a B2B software company. You are deeply proficient in Salesforce — not as a user, but as someone who understands opportunity objects, product schedules, contract structures, and reporting at a data level. You are equally proficient in QuickBooks Online, including chart of accounts design, revenue categorization, journal entries, and reconciliation workflows. You understand ASC 606 revenue recognition principles and can apply them to a multi-product SaaS business with annual and multi-year contracts. You can build financial models from scratch in Excel or Google Sheets — not from templates, from logic. You think in terms of cohorts, not just totals. You understand the difference between bookings, billings, and revenue, and you can explain why each matters. You are precise, skeptical of your own numbers, and obsessive about data integrity. Preferred Experience at a company with a mix of subscription revenue and professional services. Familiarity with Salesforce CPQ or native Salesforce quoting and contract objects. Exposure to investor or board reporting at a growth-stage company. Experience with Marketo or HubSpot data as it relates to CAC and attribution modeling. Location This role is based in Pune, India. You will work overlap hours with US Pacific Time for key syncs and will operate with significant autonomy outside those windows. Why Flosum You'll report directly into the CEO's operating rhythm. Your work will not sit in a queue — it will shape hiring plans, product investment, and go-to-market strategy in real time. Flosum is building the definitive platform for Salesforce lifecycle management, and we need someone who can measure every dimension of that growth with precision.

Location: Ireland About the Job: LaunchDarkly is looking for a Data Analyst to join our Data & Analytics team in Ireland. In this role, you will focus on building and scaling reliable data models, automating reporting, and supporting global analytics delivery. You will partner closely with the Senior Financial Analyst (Revenue & Metrics), Data Engineering, and business stakeholders to translate business logic into clean, scalable datasets. This role plays a key part in ensuring that defined metrics (e.g., ARR, NRR ) are consistently implemented, automated, and delivered across the organization. Responsibilities: Data Modeling & Transformation Build and maintain scalable data models using modern tools (e.g., Snowflake, dbt). Translate defined business logic (e.g., ARR calculations) into clean and reusable datasets. Metrics Implementation Implement and maintain standardized metrics (e.g., ARR, NRR , churn) in the data layer. Ensure consistency across dashboards and reports. Automation & Pipeline Support Work with Data Engineering to automate data pipelines and reduce manual reporting processes. Dashboarding & Reporting Develop and maintain dashboards that provide consistent and reliable visibility into business performance. Data Quality & Validation Validate data outputs, identify inconsistencies, and support reconciliation efforts across systems (e.g., Salesforce, billing systems). Global Collaboration Partner with teams across the US and EMEA to deliver timely and high-quality analytics outputs. Qualifications: Typically requires a minimum of 5 years of related experience in financial data analytics, business intelligence, or analytics engineering Strong SQL skills and experience working with structured and large datasets Experience with modern data tools (e.g., Snowflake, dbt, Looker or similar) Experience building and maintaining data models and dashboards Experience implementing business logic into data transformations Strong attention to detail and ability to ensure data accuracy Ability to work with global teams across time zones Clear communication skills About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @LaunchDarkly .com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Проект: Крупный международный криптобанкинг О РОЛИ Мы ищем аналитика, способного проектировать отказоустойчивые финансовые сценарии и выступать связующим звеном между бизнесом и разработкой. Ваша задача — не просто визуализировать процессы, а находить логические дыры в архитектуре и гарантировать синхронизацию всех компонентов системы. ОСНОВНЫЕ ЗАДАЧИ — Проектирование end-to-end сценариев: P2C, QR-оплата, свопы и обработка сбоев. — Разработка и фиксация API-контрактов (Swagger/OpenAPI) до начала написания кода. — Технический анализ документации внешних платежных сервисов (PSP, Banking APIs). — Математическое описание продукта: алгоритмы комиссий, конвертации и сверки данных (Reconciliation). — Трансформация бизнес-требований в User Stories и Use Cases с четкими критериями приемки. — Сопровождение QA, бизнес-тестирование и поддержка актуальности технической документации. ТРЕБОВАНИЯ К КАНДИДАТУ — 3+ года опыта в роли системного или бизнес-аналитика в Fintech/Banking/Crypto. — Глубокое понимание транзакционных принципов: ACID, race condition, распределенные транзакции. — Уверенное владение SQL и нотациями UML (Sequence, Activity, State Machine) и BPMN. — Опыт проектирования RESTful API и тестирования запросов в Postman. — Навыки прототипирования интерфейсов и базовое понимание законов UX/UI. — Способность вдумчиво анализировать сложную техническую документацию интеграторов. БУДЕТ ПРЕИМУЩЕСТВОМ — Понимание принципов работы блокчейна (кастодиальные и некастодиальные решения). — Опыт работы с Event-driven архитектурой и брокерами сообщений (Kafka/RabbitMQ). — Знание стандартов безопасности (PCI DSS, GDPR) и английский язык на уровне B2. УСЛОВИЯ РАБОТЫ — Участие в создании инновационного высоконагруженного Web3-продукта. — Гибкий график работы с фокусом на результат, а не на процесс. — Минимум бюрократии и возможность влиять на архитектурные решения. — Конкурентная заработная плата и сильная инженерная команда.

О РОЛИ Tonkeeper ищет Senior-аналитика для управления финансовой аналитикой по всему портфелю продуктов (Tonkeeper и TON Wallet). Ваша ключевая цель — создание прозрачной системы отчетности, автоматизация сверок между ончейн-данными и внутренними записями, а также прямое взаимодействие с C-level менеджментом (CFO/CEO). ОСНОВНЫЕ ЗАДАЧИ — Лидирование финансовой аналитики: DEX-свопы, крипто-финансовые продукты, покупки активов. — Построение и оптимизация dbt-моделей и ETL-процессов для финансовой отчетности. — Автоматизация отчетности до формата «1-click» и сверка данных (Blockchain vs Internal records). — Координация работы с внешними аудиторами по вопросам финансовой аналитики. — Презентация аналитических выводов и инсайтов руководству компании. ТРЕБОВАНИЯ К КАНДИДАТУ — 5+ лет опыта в аналитике данных или финансов (преимущественно в FinTech/Crypto). — Экспертное владение SQL и понимание принципов работы DWH (ClickHouse/Airflow). — Финансовое образование или релевантный опыт в крипто-индустрии. — Свободный английский (B2–C1) для коммуникации с внешними стейкхолдерами. — Уверенная работа с Excel/Google Sheets и базовое понимание блокчейн-технологий. БУДЕТ ПЛЮСОМ — Опыт работы с Python (Pandas) для финансового моделирования. — Практические навыки работы с dbt. — Глубокое понимание метрик: LTV, TVL, Gross Margins, Revenue vs Cash Flow. УСЛОВИЯ РАБОТЫ — Компенсация медицинских расходов и предоставление необходимого оборудования. — Доступ к передовым AI-моделям через внутренние сервисы. — Отпуск 20 рабочих дней + 11 дополнительных Day Off + 14 дней оплачиваемого больничного. — Доступ к внутренним конференциям, курсам английского и корпоративным ивентам.

О ПРОЕКТЕ Мы — международный Web3-проект и один из топовых агрегаторов на рынке. Наш сервис объединяет предложения от надежных партнеров, поддерживает тысячи токенов и находит лучшие курсы для пользователей. Ищем аналитика, который превратит сырые данные в точки роста продукта. ВАШИ КЛЮЧЕВЫЕ ЗАДАЧИ — Analysis: Сбор и обработка продуктовых данных и on-chain активности. — Visualization: Создание и поддержка дашбордов по ключевым метрикам. — Product Growth: Построение воронок, когортный анализ и сегментация юзеров. — Experiments: Проведение A/B-тестов для оценки фич и маркетинга. — Insights: Поиск аномалий, прогнозирование метрик и настройка алертинга. — Strategy: Формирование рекомендаций для фаундеров и продуктовой команды. ЧТО МЫ ЖДЕМ ОТ ВАС — Experience: От 3 лет в аналитике (обязателен опыт в Web3/DeFi). — On-chain: Навыки работы с Dune, Bitquery или аналогами; умение делать wallet-level анализ. — Hard Skills: Уверенный SQL и Python для анализа данных. — BI Tools: Опыт работы с Tableau, Power BI, Looker или Splunk. — Math: Знание статистики и методов проверки гипотез. ПОЧЕМУ У НАС КРУТО? — Global Scope: Работа над масштабным продуктом с опытной командой. — Benefits: 28 дней отпуска + дополнительные Day Off. — Growth: Индексация ЗП дважды в год и полная компенсация обучения/конференций. — Care: Оплата коворкинга, спорта, медицины, психолога и курсов иностранных языков.