Вакансии

Спроектировать и внедрить сквозную аналитику с нуля: от measurement plan до витрин данных и дашбордов. Описать и поддерживать таксономию событий (event naming, параметры, user properties), чтобы новые продукты/страницы подключались быстро и без “ручных костылей“.

Location: United States About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are looking for a detail-oriented Business Analyst – AI Evaluation Specialist to support a project focused on assessing and comparing chatbot responses. You will evaluate multiple AI-generated outputs against defined business requirements and quality criteria, analyze business processes, and deliver structured assessments that help improve the accuracy and usefulness of AI systems. The ideal candidate combines strong business analysis, data interpretation, requirements documentation, and critical evaluation skills with the ability to communicate clear, evidence-based conclusions. Key Responsibilities Gather, analyze, and document business requirements, stakeholder expectations, and project objectives. Compare multiple chatbot responses and assess their accuracy, relevance, completeness, and alignment with defined evaluation criteria. Conduct structured evaluations and provide clear, evidence-based final assessments of AI-generated outputs. Translate business requirements into functional specifications, evaluation criteria, and actionable documentation. Analyze workflows, business processes, and data to identify gaps, inefficiencies, and improvement opportunities. Create reports, dashboards, process maps, and other project documentation. Support project planning, testing, implementation, and user acceptance testing (UAT). Collaborate with technical teams and business stakeholders to ensure project requirements are understood and met. Track project progress, risks, dependencies, and key performance indicators (KPIs). Present findings, insights, and recommendations to support informed decision-making. Maintain consistent evaluation quality and meet project deadlines and task completion targets. Requirements Bachelor's degree in Business Administration, Finance, Computer Science, or a related field. At least 3 years of professional experience as a Business Analyst or in a similar analytical role. Strong analytical thinking, problem-solving, and decision-making skills. Proficiency in Excel and experience with SQL, Power BI, Tableau, or comparable analytical and reporting tools. Experience gathering requirements, documenting functional specifications, and mapping business processes. Strong attention to detail and the ability to compare complex information against defined criteria. Excellent written communication, reporting, and documentation skills. Ability to collaborate with cross-functional teams and manage multiple priorities independently. Willingness to work five days per week, including weekends when required, with two weekdays off during the project.

Location: Kaunas, Lithuania Join Biomapas as a Finance Analyst and become part of our international team in Kaunas, Lithuania (hybrid work model) We are looking for a Finance Analyst to strengthen the Finance team, with particular focus on financial planning, forecasting and management reporting. The role will support and increasingly take ownership of recurring forecasting processes, administration and development of financial forecasting tools, budget preparation, and monthly financial analysis. The Finance Analyst will work closely with the Head of Finance and other Finance team members and will interact with relevant business stakeholders to understand financial performance and translate operational developments into financial insights. This role is suitable for someone who already has solid experience in financial analysis, FP&A, controlling or a similar finance role and is ready to work with a good degree of independence, without this being a senior or managerial position. Key responsibilities Financial forecasting & planning Prepare and maintain monthly financial forecasts , including P&L and relevant underlying operational drivers. Coordinate collection and validation of forecasting inputs from Finance and business stakeholders. Analyse changes between actuals, previous forecasts, budget and other relevant planning scenarios. Identify and explain key financial variances and changes in business performance. Support scenario modelling and ad-hoc financial analyses for management. Continuously improve forecasting accuracy, structure and efficiency. Forecasting tools & financial models Support the ownership and day-to-day administration of the company's financial forecasting and planning tools . Maintain financial models, assumptions, mappings and reporting structures used in forecasting. Ensure consistency between source financial data, forecasting models and management reporting. Identify opportunities to automate or simplify recurring forecasting and analytical processes. Participate in implementation, improvement or further development of FP&A and reporting solutions. Budgeting Participate in the annual budgeting process , including preparation of templates, assumptions and financial models. Work with Finance and relevant business stakeholders to collect and challenge budget inputs. Consolidate budget information and support preparation of the overall company budget. Analyse budget movements and support preparation of management-level budget materials. Monthly financial analysis & management reporting Prepare recurring monthly analytical reporting covering financial performance and key business drivers. Perform actual vs. budget, actual vs. forecast and forecast vs. previous forecast analysis. Investigate significant variances and provide clear explanations of underlying drivers. Develop additional analytical views that help management understand financial and operational performance. Support preparation of monthly management and Group reporting materials where required. Perform ad-hoc financial analyses requested by Finance management. Requirements Experience Approximately 2–5 years of relevant professional experience in FP&A, financial controlling, management reporting, financial analysis or a similar finance role. Practical experience with financial forecasting, budgeting and variance analysis. Experience working with financial models and recurring management reporting. Experience working with P&L structures and understanding the relationship between operational drivers and financial results. Technical skills Strong Excel skills , including financial modelling, data analysis and working with larger datasets. Experience with financial planning, forecasting, ERP or BI/reporting tools. Ability to work with and reconcile data coming from multiple sources. Comfortable learning new finance systems and becoming a capable user/administrator of forecasting tools. Experience with Power BI, Power Query or similar analytical/reporting tools would be an advantage. Professional capabilities Strong analytical skills and ability to understand the drivers behind financial results rather than only produce reports. Good attention to detail while being able to identify the key message behind the numbers. Ability to independently structure analysis and investigate discrepancies. Comfortable working with deadlines associated with monthly reporting, forecasting and budgeting cycles. Ability to communicate financial information clearly to both Finance and non-Finance stakeholders. Proactive approach to improving existing processes and reporting. Education Bachelor's or Master's degree in Finance, Accounting, Economics, Business Administration or a related field . Benefits Professional growth and career opportunities International team and environment Bonus based on annual performance Personal accident and business trip insurance Additional health insurance Rewarding referral policies Monthly lunch and fruit days Team building, global meetings other CSR activities Modern and new Sustainable office in city center with parking Partly remote work possibility & flexible working hours Salary ranges based on experience 3000-3600 eur/gross/month

Location: Panama City, Panama, Panama OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy INFUSE is a demand generation company providing solutions to B2B organizations. We help clients and partners to deliver audience, buyers, and account engagement that meets their goals. With a global team operating across more than 60 countries, the company has been recognized multiple times on the prestigious Inc. 5000 list, and has received over 60 other industry awards, including Inc. Best Workplaces. As part of our growth, we’re looking for a detail-oriented and analytical Marketing Analyst to support our Deal Desk team. This role offers a dynamic opportunity to contribute to campaign planning, market research, and cross-functional support in a fast-paced, collaborative environment. You will: Help the Deal Desk Manager with various tasks Perform analysis and spreadsheet-based analytics to help the sales team determine and secure the campaign criteria, deliverable volumes, and pricing Perform research on upcoming proposals, market trends, products, and service provisions to better understand clients’ needs Make suggestions on upcoming and current campaign strategies Perform other duties as assigned To be successful, you need to be/have: Uncompromising attention to detail and accuracy Excellent organizational and planning skills Great analytical skills Ability to work on multiple projects simultaneously, many under tight deadlines Extremely flexible and adaptive to changing circumstances Excellent communication skills

Location: Washington, District of Columbia, United States Dexis is a dynamic professional services firm dedicated to partnering with government and community leaders both in the U.S. and internationally to achieve critical social outcomes in a rapidly changing world. At Dexis, you will experience a corporate culture of inclusiveness, respect, fairness, and trust. You will be given the means and mentorship needed to succeed, and your creativity will be rewarded. About the Position This project will provide a broad range of assessment, monitoring, and evaluation (AM&E) support to DSCA. Project tasks will include desk and field research, analysis, data collection and visualization, strategy development, policy writing and coordination, and AM&E capacity building. *This role is remotely based in the continental United States and requires travel in accordance with the guidelines below. Responsibilities AM&E Analyst will support DSCA in in carrying out analyses that stay up to date with emerging AM&E techniques, tools, and approaches in specific subject matter. Provide day-to-day research, analysis, and program support services. Conduct field evaluations. Provide technical and strategic guidance on AM&E. Manage AM&E projects and tasks. Travel up to 25-50% domestically and internationally as determined by client and portfolio requirements and demands on regional team, while adhering to approved budget, cost reasonableness requirements, and all applicable corporate and federal travel regulations. Qualifications Bachelor’s degree; Three (3) years of AM&E experience, including analyzing and summarizing disparate information in a clear and concise manner, drafting data collection methodologies, creating organizational work plans based on higher-level goals, leading and coordinating multiple offices through multiple step processes without being a direct supervisor, and supporting staff with a variety of levels of knowledge and capabilities; Strong oral and written communication skills to deal effectively with mid and high level partner contacts, the host government, and local communities; Ability to apply government agency regulations and procedures related to controlled unclassified information and foreign disclosure to daily work requirements; Excellent computer skills, including word processing, spreadsheet programs and data base management; Five (5) years of AM&E or capability-based-assessment (CBA) or other types of experience in one or more of the following subject matters: counterterrorism operations; Counter-weapons of mass destruction operations; counter-illicit drug trafficking operations and counter-transnational organized crime operations; maritime and border security operations; military intelligence operations and Operations or activities that contribute to an international coalition operation that is determined by the Secretary to be in the national interest of the United States; air domain awareness operations; cyberspace security and defensive cyberspace operations; humanitarian assistance and demining; smallscale construction associated with any of the above mission areas; Security Sector Governance (both across each of the above program areas as well as through distinct programs focused solely on Security-related institutions that span these broad program areas); DoD Secret clearance. Preferred Qualifications Five (5) years of experience and knowledge of public policy and operations, Five (5) years of experience planning, designing and implementing assessment, monitoring and evaluation programs or projects in the security sector for a national organization, an NGO/IGO, the UN, or private industry; Master’s degree (or higher) and formal training or education in the field of assessment, monitoring, and evaluation; One to three (1-3) years of experience planning, executing, or overseeing policy or guidance for SC activities implemented under sections 332, 333, 1263, 342, 345, 401, or 2561 of Title 10, Chapter 16 Below is the pay range aligned with this position. When developing a range, Dexis evaluates compensation holistically, triangulating between external market research , our budget for the position, and internal equity to arrive at a figure that is fair and competitive. Offers within this range will be based on an individual candidate's qualification, relevant education and experience, skills, performance, and organizational needs. Dexis pay range for this role: $80,000 — $100,000 USD Benefits Dexis offers benefits to support employees’ health, financial security, and well-being. The benefits outlined below are for full-time, US-based positions only. These benefits include: Medical and prescription drug coverage: A choice of three UnitedHealthcare medical plans, with coverage options for employees and eligible dependents. Dental insurance: Dental coverage for employees and eligible dependents, including preventive, basic, major, and orthodontic services, subject to plan limits. Company-paid vision insurance: Vision coverage for employees and eligible dependents, with premiums paid in full by Dexis. Employer-funded health reimbursement arrangement (HRA): Employees who enroll in the Silver HRA medical plan receive an employer-funded HRA to help pay eligible in-network deductible expenses. Company-paid life and disability insurance: Basic life and accidental death and dismemberment (AD&D) insurance, plus short-term and long-term disability coverage. Optional supplemental insurance: Voluntary supplemental life and AD&D insurance options, including life insurance options for eligible dependents. Employee Assistance Program (EAP): Company-paid access to confidential counseling and legal and financial support resources for employees and their families. Health and wellness resources: Virtual care, behavioral health resources, and wellness programs available through the medical plan. Benefits assistance: Personalized support with benefit enrollment, coverage questions, claims, and finding providers through the Employee Care Center. Participation, coverage, and employee contributions are subject to applicable benefit plan terms and eligibility requirements. Dexis is on a mission to help solve today’s most pressing global political, social, and economic challenges and create a world where all people are safe and prosperous. As a Dexis employee, you will be challenged, empowered, and mentored. Our motto is “find a way or make a way” — that’s how Dexis goes “all in.” How will you? If you are passionate about this opportunity, apply now! Only those applicants who meet the above criteria will be contacted for interview. Dexis is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, sex, national origin, religion, pregnancy, disability, age, genetic information, military service, veteran status, ethnicity, citizenship, sexual orientation, gender identity, marital status, childbirth and related medical conditions, including lactation, or any other protected class under applicable law.

Location: Jakarta, Indonesia Workplace: hybrid inDrive's Forecasting product turns large-scale marketplace data into daily and monthly forecasts of the company's core supply, demand and financial metrics. These forecasts are the backbone of target setting, financial planning and scenario analysis for business teams and leadership. We are looking for a Senior Analyst to own this product: the quality and credibility of the numbers, the planning processes they feed, and the story behind every deviation. You will take over a working production solution (Python, BigQuery) and keep it reliably serving the business — but the core of the role is not modeling for its own sake. It is understanding how the business works: how pricing, incentives, marketing and market events move metrics, how those metrics connect to each other, and what decision-makers need from a forecast to plan with confidence. Key Responsibilities Business & planning Own the forecast as a decision-making product: track plan vs actual, decompose variances into business drivers (seasonality, pricing, incentives, marketing, external events), and explain in business terms why the numbers changed Support company planning cycles: provide forecast baselines for target setting and budgeting, and align assumptions with finance and business stakeholders Build and run scenario ("what-if") analysis for planned interventions: pricing changes, incentive and marketing spend, product launches, market expansion Maintain the dependency logic connecting supply, demand and financial metrics, so that forecasts stay mutually consistent and aggregate correctly across markets Translate ambiguous business questions into measurable forecasting problems; communicate assumptions, uncertainty and limitations clearly to both business and technical audiences Forecast production Run and monitor recurring daily and monthly forecasts: data completeness, sanity checks, run-over-run drift Investigate anomalies end to end — from inputs and business transformations to forecast outputs — getting to the business reason, not just a technical fix Improve models pragmatically: baselines, honest validation, and model choices driven by measurable planning value rather than sophistication. Keep the solution maintainable: readable Python, documentation, versioned changes Skills, Knowledge and Expertise 4+ years in analytics, forecasting or planning roles — for example marketplace or product analytics, demand planning, or decision science Strong understanding of how a business is planned: plan/fact cycles, target setting, driver-based models, unit economics. You see business metrics as a connected system, not as isolated time series Practical command of time-series forecasting — seasonality, holidays, external regressors, structural breaks, missing data — enough to own and improve production models Confident Python (pandas ecosystem): able to maintain and extend an existing production codebase Advanced SQL and experience with large datasets in a cloud data warehouse Rigorous validation habits: appropriate baselines, no data leakage, error metrics tied to business impact Ownership mindset: comfortable investigating issues across data, model, and integration boundaries Professional working proficiency in English and the ability to defend a number in front of senior stakeholders Nice to have: Background in mobility, marketplaces or other supply-and-demand systems Experience supporting financial planning, S&OP or budgeting processes Econometrics and causal inference; marketing-response models (adstock, saturation, investment payback) Hierarchical forecasting across multiple markets Experience owning or supporting production batch pipelines; BigQuery, Git-based workflows, CI/CD Technology environment Python (pandas, NumPy, scikit-learn, Prophet), BigQuery, Databricks, Git and GitHub Actions. This is an analyst role in an engineering-friendly environment: you should be at home in this stack, but deep ML engineering is not the core of the job. Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries Develop your professional skills with access to mentoring, career consulting, and learning programs Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects Work alongside people who take initiative, speak openly, and challenge themselves to grow Improve your language skills through co-financed courses and internal speaking clubs Final benefits may vary depending on the location.

Location: Limassol, Cyprus Workplace: hybrid inDrive's Forecasting product turns large-scale marketplace data into daily and monthly forecasts of the company's core supply, demand and financial metrics. These forecasts are the backbone of target setting, financial planning and scenario analysis for business teams and leadership. We are looking for a Senior Analyst to own this product: the quality and credibility of the numbers, the planning processes they feed, and the story behind every deviation. You will take over a working production solution (Python, BigQuery) and keep it reliably serving the business — but the core of the role is not modeling for its own sake. It is understanding how the business works: how pricing, incentives, marketing and market events move metrics, how those metrics connect to each other, and what decision-makers need from a forecast to plan with confidence. Key Responsibilities Business & planning Own the forecast as a decision-making product: track plan vs actual, decompose variances into business drivers (seasonality, pricing, incentives, marketing, external events), and explain in business terms why the numbers changed Support company planning cycles: provide forecast baselines for target setting and budgeting, and align assumptions with finance and business stakeholders Build and run scenario ("what-if") analysis for planned interventions: pricing changes, incentive and marketing spend, product launches, market expansion Maintain the dependency logic connecting supply, demand and financial metrics, so that forecasts stay mutually consistent and aggregate correctly across markets Translate ambiguous business questions into measurable forecasting problems; communicate assumptions, uncertainty and limitations clearly to both business and technical audiences Forecast production Run and monitor recurring daily and monthly forecasts: data completeness, sanity checks, run-over-run drift Investigate anomalies end to end — from inputs and business transformations to forecast outputs — getting to the business reason, not just a technical fix Improve models pragmatically: baselines, honest validation, and model choices driven by measurable planning value rather than sophistication. Keep the solution maintainable: readable Python, documentation, versioned changes Skills, Knowledge and Expertise 4+ years in analytics, forecasting or planning roles — for example marketplace or product analytics, demand planning, or decision science Strong understanding of how a business is planned: plan/fact cycles, target setting, driver-based models, unit economics. You see business metrics as a connected system, not as isolated time series Practical command of time-series forecasting — seasonality, holidays, external regressors, structural breaks, missing data — enough to own and improve production models Confident Python (pandas ecosystem): able to maintain and extend an existing production codebase Advanced SQL and experience with large datasets in a cloud data warehouse Rigorous validation habits: appropriate baselines, no data leakage, error metrics tied to business impact Ownership mindset: comfortable investigating issues across data, model, and integration boundaries Professional working proficiency in English and the ability to defend a number in front of senior stakeholders Nice to have: Background in mobility, marketplaces or other supply-and-demand systems Experience supporting financial planning, S&OP or budgeting processes Econometrics and causal inference; marketing-response models (adstock, saturation, investment payback) Hierarchical forecasting across multiple markets Experience owning or supporting production batch pipelines; BigQuery, Git-based workflows, CI/CD Technology environment Python (pandas, NumPy, scikit-learn, Prophet), BigQuery, Databricks, Git and GitHub Actions. This is an analyst role in an engineering-friendly environment: you should be at home in this stack, but deep ML engineering is not the core of the job. Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries Develop your professional skills with access to mentoring, career consulting, and learning programs Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects Work alongside people who take initiative, speak openly, and challenge themselves to grow Improve your language skills through co-financed courses and internal speaking clubs Annual salary from EUR 70 700 gross Final benefits may vary depending on the location.

Location: Almaty, Kazakhstan Workplace: hybrid inDrive's Forecasting product turns large-scale marketplace data into daily and monthly forecasts of the company's core supply, demand and financial metrics. These forecasts are the backbone of target setting, financial planning and scenario analysis for business teams and leadership. We are looking for a Senior Analyst to own this product: the quality and credibility of the numbers, the planning processes they feed, and the story behind every deviation. You will take over a working production solution (Python, BigQuery) and keep it reliably serving the business — but the core of the role is not modeling for its own sake. It is understanding how the business works: how pricing, incentives, marketing and market events move metrics, how those metrics connect to each other, and what decision-makers need from a forecast to plan with confidence. Key Responsibilities Business & planning Own the forecast as a decision-making product: track plan vs actual, decompose variances into business drivers (seasonality, pricing, incentives, marketing, external events), and explain in business terms why the numbers changed Support company planning cycles: provide forecast baselines for target setting and budgeting, and align assumptions with finance and business stakeholders Build and run scenario ("what-if") analysis for planned interventions: pricing changes, incentive and marketing spend, product launches, market expansion Maintain the dependency logic connecting supply, demand and financial metrics, so that forecasts stay mutually consistent and aggregate correctly across markets Translate ambiguous business questions into measurable forecasting problems; communicate assumptions, uncertainty and limitations clearly to both business and technical audiences Forecast production Run and monitor recurring daily and monthly forecasts: data completeness, sanity checks, run-over-run drift Investigate anomalies end to end — from inputs and business transformations to forecast outputs — getting to the business reason, not just a technical fix Improve models pragmatically: baselines, honest validation, and model choices driven by measurable planning value rather than sophistication. Keep the solution maintainable: readable Python, documentation, versioned changes Skills, Knowledge and Expertise 4+ years in analytics, forecasting or planning roles — for example marketplace or product analytics, demand planning, or decision science Strong understanding of how a business is planned: plan/fact cycles, target setting, driver-based models, unit economics. You see business metrics as a connected system, not as isolated time series Practical command of time-series forecasting — seasonality, holidays, external regressors, structural breaks, missing data — enough to own and improve production models Confident Python (pandas ecosystem): able to maintain and extend an existing production codebase Advanced SQL and experience with large datasets in a cloud data warehouse Rigorous validation habits: appropriate baselines, no data leakage, error metrics tied to business impact Ownership mindset: comfortable investigating issues across data, model, and integration boundaries Professional working proficiency in English and the ability to defend a number in front of senior stakeholders Nice to have: Background in mobility, marketplaces or other supply-and-demand systems Experience supporting financial planning, S&OP or budgeting processes Econometrics and causal inference; marketing-response models (adstock, saturation, investment payback) Hierarchical forecasting across multiple markets Experience owning or supporting production batch pipelines; BigQuery, Git-based workflows, CI/CD Technology environment Python (pandas, NumPy, scikit-learn, Prophet), BigQuery, Databricks, Git and GitHub Actions. This is an analyst role in an engineering-friendly environment: you should be at home in this stack, but deep ML engineering is not the core of the job. Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Limassol, Cyprus Workplace: hybrid inDrive is seeking an Anti-fraud Officer to own detection and investigation of fraud across our ride-hailing, delivery and city-to-city products: Ban evasion through multi-accounting, GPS spoofing, ride manipulation, promo and referral abuse, payment fraud, driver–passenger collusion etc. Key Responsibilities Analyze transactional and behavioral data using SQL and Python to identify suspicious patterns and emerging fraud schemes Develop, tune, and improve fraud detection rules and anti-fraud dashboards Evaluate the quality and effectiveness of detection rules by tracking precision and other key performance metrics Manage fraud cases end-to-end , from identifying suspicious activity to investigation, documentation, and escalation of confirmed incidents Conduct risk assessments of new and existing product features in collaboration with Product teams Analyze and monitor fraud losses , identify key sources of losses, and develop plans to reduce them Propose and implement fraud risk mitigation measures together with Product and other cross-functional teams Skills, Knowledge and Expertise 4 + years of experience in anti-fraud, risk analytics, or a related analytical field Strong proficiency in SQL and Python for analyzing large datasets Solid understanding of statistics and the ability to apply statistical methods to behavioral analysis and anomaly detection Experience working with data and the ability to independently identify suspicious patterns and formulate hypotheses Strong analytical thinking, attention to detail, and a structured approach to investigations Ability to work in ambiguous environments and independently drive investigations from initial detection to actionable conclusions and recommendations English — B2 or higher Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Annual salary from 70 700 EUR gross. Final benefits may vary depending on the location.

LemFi is looking for an AML Operations Analyst Fraud to investigate fraud cases, manage reports and chargebacks, and identify fraud trends.

Location: Remote (Sweden) Workplace: Remote ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Ramp is launching payments across the EU through its Swedish payment institution. Our European operations team (Europs) onboards European businesses and keeps them trading, across Ramp's own regulated entities and our card-issuing and payments partners. We're a small team that runs on frontier AI tooling: our operators build and use their own automations so they can spend their time on judgement, not admin. We're hiring a KYB/AML Analyst in Stockholm to review and onboard business customers of our Swedish entity, work directly with those customers to get them live, and resolve onboarding requirements raised by our partners. You'll join a small Swedish team and help keep onboarding moving every day as we grow. WHAT YOU'LL DO - Carry out first-line (1LoD) KYB reviews of business customers onboarding with Ramp's Swedish payment institution: company verification, beneficial ownership, sanctions/PEP/adverse-media screening, and risk assessment - Decide standard cases end to end, and escalate complex or higher-risk cases with a clear rationale - Handle customer communications through onboarding: clear document requests, follow-ups and status updates - Resolve onboarding requirements from our card-issuing and payments partners for EU customers - Document decisions to a standard that holds up to second-line and regulatory review - Keep Swedish casework moving when teammates are on leave or handling incidents - Spend part of your time improving how we work: playbooks, templates and AI-assisted workflows WHAT YOU NEED - 2–4 years of KYB / AML / onboarding experience at a fintech, payment institution, EMI or bank - Solid grounding in business customer due diligence: company registers, UBO identification, sanctions/PEP screening, and spotting red flags - Fluent English, written and verbal - Clear, friendly written communication with customers - Curiosity about AI tools and how they can make casework faster and better - Based in, or relocating to, Stockholm, with the right to work in Sweden NICE-TO-HAVES - Swedish (strongly preferred) - Familiarity with Swedish sources and requirements (Bolagsverket, the beneficial ownership register, FI expectations under the Swedish AML Act) - Experience onboarding EU businesses across several jurisdictions - An additional European language BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Oman PIPECARE is seeking Data Analyst to join our team in Oman, specializing in the oil and gas industry. PIPECARE provide complete Solutions to all aspects of all aspects of In Line- Solutions in the oil and gas industry and ensure pipeline integrity by providing highly accurate information for Maintenance and Repair Programs. Position Summary General role for the Data Analyst includes identification obstructions in the pipeline. It shall be noted that PIPECARE has Subsidiaries around the world and although Data Analyst reports to Data Analyst Team Leader of that Subsidiary and to the corporate Data Analyst Manager, the responsibility of the Data Analyst is to ensure that all tasks and projects related to local subsidiary are executed according to the plan, corporate standards and policy approved by the Corporate Office. Key Responsibilities & Authorities Checking and approving the tool performance during the PTT. Checking the data quality of ILI runs. Caliper Data Analysis. MFL Data Analysis. TFI Data Analysis. Checking and implementing dig verification tasks at sites and preparing relevant reports. Reviewing the software inter phase. Reviewing software user manuals. Preparing/Reviewing DAD quality documentation. To ensure accurate tool sensitivity values are provided to TM in Tool Checklist. To prepare a specific Run assessment report. To identify obstructions in the pipeline; to produce technically valid Preliminary / Final report (if applicable). To produce technically valid Preliminary / Final report. To inform HO-DAD about the results and/or to implement the results into the reports. To ensure that the coordinates are synchronized with the data. To alert the R&D regarding the software problems. To update the documentation. To produce updated standard quality procedures. To alert the DA Team Leader / DA Manager regarding the software problems. Execute all other tasks as requested by DA Team Leader or DA Manager and/or Executive Team within the assigned job role. Skills/Experience required. Bachelor’s degree in engineering/technology, OR related degree (preferred but not limited to GIS Field, petrochemical background, pipeline integrity). Prior certification as ILI ASNT-PQ L2, or L3 Data Analyst in one or more of the following in-line inspection technologies: UTWM, UTCD, EMAT; or the ability to become certified Experience in contacts with clients (report presentations, software trainings etc.) Ability to learn proprietary software platforms; proficiency in Microsoft based applications is a must Database development and implementation experience Process analysis, requirement / functional specification development experience Quality assurance of databases, reporting experience Experience of working on large, complex and multiple databases Proficient in using analytical tools and instruments for instance Excel, Microsoft Access, Minitab and SPSS High ability to work with numbers Strong written and verbal communication skills Analytical mind which is able to process information logically Professional level of English language.

Location: Arlington, VA, United States Job Title Resource Management Analyst Why IDS? IDS believes in resolving conflict and building innovative approaches to do so. Combining operational expertise with an intimate understanding of today’s greatest challenges, we bring our customers the solutions required for success in a complex and multidimensional world. IDS tailors solutions for a diverse range of government, military, nonprofit, and public-sector clients. Locations Gov Site (NCR) Please note, candidates must be flexible. Shift times are general hours; some projects may require earlier or later reporting based on customer requirements. Job Description IDS is seeking a Resource Management Analyst to support financial planning, budgeting, execution, and defense acquisition reporting across complex government programs. This role supports senior leadership by preparing programmatic financial documentation, analyzing resource requirements, managing multi-year budget planning cycles, and supporting PPBE and POM development. The Resource Management Analyst ensures accurate, timely financial data and contributes to strategic resource decision-making. Key Duties • Support planning, programming, budgeting, and execution (PPBE) processes, including documentation, tracking, and reporting. • Assist in developing Program Objective Memorandum (POM) inputs, resource justification materials, and financial execution reports. • Conduct financial analysis to support program funding strategies, cost projections, and resource prioritization. • Prepare acquisition-related documentation, resource reports, and metrics for leadership review. • Coordinate with internal and external stakeholders to gather data, analyze requirements, and support informed financial decisions. • Maintain accurate financial records, audit support documentation, and program budget tracking tools. • Identify funding issues, risks, and mitigation options to support program continuity. • Assist with multi-year budget planning, forecasting, and alignment with organizational priorities. Requirements • Bachelor’s degree in Finance, Business Administration, Accounting, or a related field. • 5–7 years of experience in: • Defense acquisition guidance and reporting; or • Planning, Programming, Budgeting & Execution (PPBE) management; or • Program Objective Memorandum (POM) preparation. • SECRET clearance required. Compensation This position is contingent upon award Questions? Please reach out to lolney@idsinternational.com for additional questions or information.

Location: Fort Bragg, NC, United States Job Title PAI/SM Analyst and Content Developer Why IDS? IDS believes in resolving conflict, building innovative approaches to do so. Combining operational expertise with an intimate understanding of today’s greatest challenges, we bring our customers the solutions required for success in a complex and multidimensional world. IDS tailors solutions for a diverse range of government, military, nonprofit, and public-sector clients. Locations Fort Bragg, NC Shifts Available Please note, candidates must be flexible. Shift times are general hours; some projects may require earlier or later reporting based on customer requirements. Job Description IDS is seeking a PAI/SM Analyst and Content Developer to support operational planning, analysis, and training objectives through the integration of Open-Source Intelligence (OSINT) and Publicly Available Information (PAI). The selected candidate will develop instructional content, support mission-focused analysis, and leverage digital domain expertise to enhance Mission Readiness Exercise and Special Operations training environments. Key Duties • Gather and analyze Open-Source Intelligence (OSINT) and Publicly Available Information (PAI). • Integrate OSINT/PAI and related technologies into operational intelligence activities. • Support planning, analysis, and exercise effects development. • Develop instructional programs and training modules. • Conduct research utilizing open-source, social media, and internet-based resources. • Support Mission Readiness Exercise (MRX) planning and execution activities. Requirements • Secret clearance. • Associate degree. Six years of related military experience may substitute for academic degree. • Graduate from one of the following U.S. military courses: Basic and/or Advanced Noncommissioned Officer Course, First Sergeant Course, or Sergeants Major Course. • Expert knowledge of gathering Open-Source Intelligence and Publicly Available Information (OSINT/PAI). • Expert ability to integrate OSINT/PAI and related technologies into operational intelligence for planning, analysis, and exercise effects. • Expert knowledge of developing instruction programs or training modules. • Assignment to Special Operations Forces (Special Forces, Psychological Operations, Civil Affairs, Ranger Regiment, Special Operations Aviation, Special Mission Units) or assignment to Military Intelligence. • Minimum of three years of corporate experience working in the digital domain using open source, social media, and the internet for research, influence, operations, targeting, and analysis. • Detailed expertise and past performance with multiple technologies used to understand and exploit the digital domain with operational relevance. Preferred Qualifications • One year of experience researching, planning, preparing, coordinating, and executing Mission Readiness Exercises (MRX). • Experience with Adobe Dreamweaver. Compensation • Competitive Hourly Pay • Benefits

Location: Muscatatuck, IN, United States Job Title Computer Systems Analyst OT I (Computer Systems Analyst) Why IDS? IDS believes in resolving conflict, building innovative approaches to do so. Combining operational expertise with an intimate understanding of today’s greatest challenges, we bring our customers the solutions required for success in a complex and multidimensional world. IDS tailors solutions for a diverse range of government, military, nonprofit, and public-sector clients. Locations Muscatatuck, Indiana Shifts Available Please note, candidates must be flexible. Shift times are general hours; some projects may require earlier or later reporting based on customer requirements. Job Description IDS is seeking a Computer Systems Analyst OT I to support Operational Technology (OT) environments and associated networked systems. The selected candidate will assist with the analysis, administration, and maintenance of systems supporting training and operational requirements. This role requires experience working with OT systems, networking technologies, and Windows and Linux operating environments. The ideal candidate will support a variety of technologies and devices commonly found within modern operational and industrial environments, including ICS/SCADA, IoT, RF, and integrated sensor systems. Key Duties • Support the operation and maintenance of Operational Technology (OT) systems and networks. • Analyze and troubleshoot system and network performance issues. • Assist with administration of Windows enterprise and Linux server operating systems. • Support integration and operation of ICS/SCADA, IoT, RF, and camera systems. • Monitor system performance and assist with infrastructure maintenance activities. • Support configuration and documentation of operational technology environments. • Assist with system upgrades, maintenance, and troubleshooting efforts. • Coordinate with technical teams to support mission, training, and operational objectives. • Maintain technical documentation and system records. • Support secure and reliable operation of OT and networked systems. Requirements • Associate degree or equivalent experience. • Active Secret security clearance required. • Minimum of one (1) year of experience working with computer systems, Operational Technology, and networking. • Demonstrated experience with Windows enterprise and Linux server operating systems engineering and administration. • Demonstrated experience with a wide variety of technologies including camera systems, ICS/SCADA, IoT, and RF devices. Compensation • Competitive Hourly Pay • Benefits

Location: United States Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like ASUS, Docker, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance. We're a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution. About the role Full-stack means you don't hand off. You connect the sources, model the data, transform it, build the dashboard and explain the numbers to the customer who paid for them, on three to six enterprise accounts at a time. If you've been the analyst who also had to be the analytics engineer and the account lead, and you liked it, this is that job with a platform and AI tooling behind you. What you'll do Own the chain for every account: source connection, ClickHouse and dbt model, QA, dashboard, weekly customer call. Write SQL every day, and Python when a transformation or a delivery needs code. Build reporting in Looker, Power BI or Tableau, and the model under it, so the numbers survive a finance review. Find what's off in the data before the customer does, and say so plainly. Use Claude Code to move faster and check its work harder. You'll fit if You have 3+ years as a marketing analyst, data analyst, BI developer or analytics engineer, with customers you had to keep, external or internal. Expert SQL, working Python, one BI tool at expert level. You've worked with several marketing sources at once (ad platforms, GA4, CRM), or can show the same with another messy multi-source domain. English C1 or better. You present your own work. Helps dbt in production. Attribution or MMM. Agency background. What we offer Remote-first environment Medical and dental benefits 401(k) plan Paid time off and US holidays Professional development reimbursement

Location: OH, United States Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like ASUS, Docker, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance. We’re a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution. About the Role The Marketing Analyst's primary responsibility is to help clients maximize value from their marketing data. You'll own client delivery end-to-end for your assigned accounts — from data modeling through final reporting. You'll design and maintain dashboards across BI platforms, ensure data quality, and deliver clear, actionable reporting. This role also involves managing data transformations in dbt and working with complex, multi-source data architectures. You'll leverage AI tools (e.g. Codex, Claude) to accelerate your workflows. We are looking for someone who is reliable, responsible, quality-minded, keeps commitments, takes ownership of their work, and can confidently present results to clients. Responsibilities Build and maintain dashboards and reports in Looker, Power BI, and Tableau — depending on client setup. Write, optimize, and troubleshoot SQL queries for reporting, analysis, and investigations. Manage and enhance data transformations with dbt where necessary. Support clients directly — understand their requirements, translate them into data solutions, and deliver clear insights. Conduct QA/UAT to ensure data accuracy, consistency, and trustworthiness. Use Git for version control and collaboration. Proactively identify opportunities, trends, or risks in marketing data and communicate findings clearly. Leverage AI tools to be 10x more productive than the average analyst. Must Have Qualifications 3+ years of experience as Data Analyst with marketing data Expert-level proficiency in at least one BI platform (Looker, Power BI, or Tableau), with the ability to deliver projects across all. Proficiency in SQL Proficiency in data modelling (dbt preferred) Knowledge of Google Analytics (advanced level, for business understanding) Experience with Git English C1 level with excellent written and verbal communication ( client-facing role ) Strong analytical skills, proactive problem-solving, and high attention to detail Comfortable with ambiguity and able to drive clarity with clients and internal teams Hands-on experience with QA/UAT processes Proficiency with AI tools and ability to learn new ways of working is essential Nice to Have Knowledge of Google Analytics Data Streams . Familiarity with marketing platforms data (Google Ads, Facebook Ads, etc.). Understanding of Marketing Mix Modeling (MMM) concepts . Prior experience in marketing agency. What We Offer Remote-first environment. Competitive base salary. Stock options. Medical, and dental benefits. 401K plan. Unlimited PTO. 13 paid holidays. Professional development reimbursement.

Location: United States Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like ASUS, Docker, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance. We’re a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution. About the Role The Senior Marketing Analyst's primary responsibility is to help clients maximize value from their marketing data. You'll own client delivery end-to-end for your assigned accounts — from data modeling through final reporting. You'll design and maintain dashboards across BI platforms, ensure data quality, and deliver clear, actionable reporting. This role also involves managing data transformations in dbt and working with complex, multi-source data architectures. You'll leverage AI tools (e.g. Codex, Claude) to accelerate your workflows. We are looking for someone who is reliable, responsible, quality-minded, keeps commitments, takes ownership of their work, and can confidently present results to clients. Responsibilities Support clients directly — understand their requirements, translate them into data solutions, and deliver clear insights. Build and maintain dashboards and reports in Looker, Power BI, and Tableau — depending on client setup. Design and maintain data models that consolidate data from multiple marketing platforms and sources. Map and document data flows across complex, multi-source schemas. Proactively identify opportunities, trends, or risks in marketing data and communicate findings clearly. Write, optimize, and troubleshoot SQL queries for reporting, analysis, and investigations. Manage and enhance data transformations with dbt. Conduct QA/UAT to ensure data accuracy, consistency, and trustworthiness. Use Git for version control and collaboration. Must Have Qualifications Expert-level proficiency in at least one BI platform (Looker, Power BI, or Tableau), with the ability to deliver projects across all. 3+ years of SQL experience. Proficiency with AI tools and ability to integrate them into daily workflows. Experience working with multiple marketing data sources simultaneously (ad platforms, CRM, web analytics, etc.). Understanding of data modeling principles (star schema, dimensional modeling). Understanding of ELT/ETL concepts and debugging data transformation logic. English C1 level with excellent written and verbal communication. Ability to communicate directly with clients and stakeholders. Takes ownership and responsibility for their work and results. Can present their work and insights confidently to clients. Consistently checks their own work for quality, accuracy, and completeness before delivery. Strong analytical skills, proactive problem-solving, and close attention to detail. Comfortable with ambiguity and able to drive clarity with clients and internal teams. Hands-on experience with QA/UAT processes. Nice to Have Knowledge of Google Analytics (for business understanding). Knowledge of Google Analytics Data Streams. Familiarity with marketing platforms data (Google Ads, Facebook Ads, etc.). Understanding of Marketing Mix Modeling (MMM) concepts. dbt experience in analytics workflows. Python or other scripting language for data analysis and automation. Experience with data quality frameworks or data observability tools. Familiarity with marketing attribution models. What We Offer Remote-first environment Competitive compensation Medical and dental benefits 401K plan Unlimited PTO Paid holidays Professional development reimbursement