Вакансии

Location: United States Workplace: remote About Lyra Health Lyra Health is a leading provider of evidence-based mental health care, serving more than 20 million people globally in partnership with employers and more than 100 million through health plan and partner relationships. The company has delivered more than 15 million sessions of mental health care, published more than 35 peer-reviewed studies, and delivered unmatched outcomes in terms of access, clinical effectiveness, and cost efficiency. Extensive peer-reviewed research confirms Lyra’s transformative care model helps people recover twice as fast and results in a 26% annual reduction in overall healthcare claims costs. Lyra is transforming access to life-changing mental health care through Lyra Empower, the only fully integrated, AI-powered platform combining the highest-quality care and technology solutions. About the Role:  The Director of People Analytics and Workforce Intelligence will lead our global workforce intelligence strategy, transforming complex talent and organizational data into actionable business outcomes. Reporting to the Sr. Director, People Solutions, you will bridge HR, Artificial Intelligence, and enterprise analytics.  We are seeking a visionary leader to architect scalable solutions that empower executive leadership and managers to make data-driven decisions. You will build proactive tools to create insights that shift the paradigm from reactive reporting to predictive talent interventions. This role can be based in our Madison, WI office, or fully remote/virtual. Remote candidates must be physically located within the United States. Responsibilities Define and execute the global roadmap for People Analytics, aligning workforce insights directly with core business strategy and growth goals. Lead the design, development, and deployment of custom AI-driven analytics tools, internal dashboards, and predictive decision-support applications for leaders and managers. Shift the organizational paradigm from reactive, descriptive reporting to proactive, predictive talent interventions (e.g., flight-risk modeling, workforce planning, skill gap forecasting, performance drivers). Utilize Generative AI frameworks across HR data ecosystems to automate insights generation, summarize employee sentiment, and streamline talent operations. Partner with IT, Enterprise Data, and Security teams to ensure rigorous data governance, privacy compliance (GDPR/CCPA), and ethical AI frameworks for employee data. Champion data democratization across the company by training and empowering People Business Partners and business managers to self-serve actionable insights. Serve as the principal data advisor to the People Leadership Team, translating complex analytical findings into compelling executive narratives. Design framework models that measure the ROI of People programs, culture initiatives, compensation strategies, retention plans, and talent acquisition pipeline efficiency. Benchmark internal metrics against industry standards and macroeconomic trends to anticipate organizational talent shifts. Qualifications 10+ years of progressive experience in Analytics, Business Intelligence, or Workforce Data Science Demonstrated experience building or deploying AI/ML models (e.g., predictive modeling, NLP for sentiment analysis, LLM integrations) that translate raw data into user-friendly organizational tools. Advanced proficiency in SQL, Python/R, and enterprise HR systems (Workday, SuccessFactors, etc.), along with demonstrated experience implementing a data warehouse that connects to a BI visualization platform (e.g., Tableau, PowerBI, Looker). Exceptional narrative and storytelling ability—capable of distilling complex statistical models into clear, high-impact strategies for executive stakeholders. Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Industrial/Organizational Psychology, Business Analytics, or a related quantitative field. "We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law.   By applying for this position, you acknowledge that your personal information will be processed as per the Lyra Health Workforce Privacy Notice. Through this application, to the extent permitted by law, we will collect personal information from you including, but not limited to, your name, email address, gender identity, employment information, and phone number for the purposes of recruiting and assessing suitability, aptitude, skills, qualifications, and interests for employment with Lyra.  We may also collect information about your race, ethnicity, and sexual orientation, which is considered sensitive personal information under the California Privacy Rights Act (CPRA) and special category data under the UK and EU GDPR.  Providing this information is optional and completely voluntary, and if you provide it you consent to Lyra processing it for the purposes as described at the point of collection, for example for diversity and inclusion initiatives.  If you are a California resident and would like to limit how we use this information, please use the Limit the Use of My Sensitive Personal Information form.  This information will only be retained for as long as needed to fulfill the purposes for which it was collected, as described above. Please note that Lyra does not “sell” or “share” personal information as defined by the CPRA. Outside of the United States, for example in the EU, Switzerland and the UK, you may have the right to request access to, or a copy of, your personal information, including in a portable format; request that we delete your information from our systems; object to or restrict processing of your information; or correct inaccurate or outdated personal information in our systems. These rights may be subject to legal limitations. To exercise your data privacy rights outside of the United States, please contact globaldpo@lyrahealth.com. For more information about how we use and retain your information, please see our Workforce Privacy Notice." As a full-time Director, People Analytics and Workforce Intelligence , you will be employed by Lyra Health, Inc. The anticipated annual base salary range for this full-time position is $189,000 to $231,000. The base range is determined by role and level, and placement within the range will depend on a number of job-related factors, including but not limited to your skills, qualifications, experience and location. This role may also be eligible for discretionary bonuses.  Annual salary is only one part of an employee’s total compensation package at Lyra. We also offer generous benefits that include:  Comprehensive healthcare coverage (including medical, dental, vision, FSA/HSA, life and disability insurances) Lyra for Lyrians; coaching and therapy services Equity in the company through discretionary restricted stock units Competitive time off with pay policies including vacation, sick days, and company holidays Paid parental leave  401K with up to 3% matching Monthly tech allowance We like to spread joy throughout the year with well-being perks and activities, surprise swag, regular community celebration…and more!   We can’t wait to meet you.

Location: London 2027 – Internship, Business Data Analytics Programmes offered: Final-year internship, penultimate-year internship Location: London Programme duration: 3-6 months internship, starting in 2027 Who qualifies: Penultimate or final-year students completing a bachelor’s or master’s degree Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across liquid asset classes and markets worldwide. Our approach to investing is scientific: we bring together data, research, technology and trading expertise to develop and run systematic strategies. Technology is central to how QRT works. Over the years, we have built a global research and execution platform spanning geographies, asset classes and trading horizons, from ultra-low-latency systems to large-scale research, analytics and risk infrastructure. We invest heavily in engineering, automation and scalable systems because better technology allows us to test ideas faster, operate more reliably and tackle harder problems. Our internships are designed to give students meaningful experience of that work. You’ll join a team, contribute to real projects and learn from engineers, researchers and traders working on live problems. The environment is technical, collaborative and demanding, with plenty of scope to ask questions, test ideas and take ownership. Strong performance during the internship may lead to consideration for a full-time graduate role. Your future role at QRT Join QRT’s growing Business Data & Analytics (BDA) team to turn internal and external data into practical business solutions. Work with developers and business stakeholders to research questions, explore complex datasets, and build tools that inform senior stakeholders. We are recruiting across three internship tracks, depending on your strengths and interests: Applied AI Engineering — Build and evaluate tools using LLMs, agents and retrieval to support research, automate workflows and enhance applications. Applied Data Science — Structure and connect data, apply statistical, machine learning and graph-based methods, and build data applications for the business. Investment Analytics — Work with the investment team to turn complex data into clear insights and develop tools supporting investment decisions. Your responsibilities will include: Translate business questions into analytical approaches, research and evaluate methods, and develop prototypes for integration with developers. Combine, structure and validate datasets across firms, teams and people; collect and analyse financial, market and portfolio data. Build dashboards monitoring investment performance, portfolio exposures, risk metrics, and market trends. Support investment research through quantitative analysis; communicate findings through clear visualisations and explanations for non-technical stakeholders. Assess accuracy and reliability, documenting assumptions and limitations. Prototype and test AI agents for document information extraction, research summaries, and recurring reports. Your present skillset Studying towards, or recently completed, a degree in Computer Science, Statistics, Data Science, Mathematics or another STEM discipline with relevant practical experience. Strong Python skills, clean, well-structured code, and experience cleaning, joining and modelling data from multiple sources. Intellectual curiosity about business, data and technology; strong analytical and problem-solving skills and a consulting mindset. Evidence of taking an open-ended problem from idea to working solution through projects, coursework, research or internships. Clear communication, initiative, and organisation, with confidence working through undefined requirements. Track-specific skills Demonstrate experience in your preferred track. Personal and passion projects are welcome: we are interested in what you built, your decisions, and what you learned. Applied AI Engineering — Hands-on experience with LLMs, including agents, tool use or retrieval; ability to assess AI outputs for accuracy, reliability and usefulness; interest in software deployment, operation and integration. Applied Data Science — Experience applying analytical or statistical methods, visualising data and presenting findings to non-technical users. Prior machine learning experience is not required; curiosity and solid data experience are valued. Investment Analytics — Attention to detail, interest in financial markets and investing, working knowledge of Python and Excel for data analysis, and interest in LLMs, AI agents and automation. Clear communication, initiative and collaboration. Good to have Graph data experience with Neo4j, NetworkX or similar. SQL. Cloud platforms, particularly AWS. Machine learning, including community detection, link prediction and embeddings for the Data Science track. Data applications or APIs using Dash or FastAPI. Interview Process: Application – Submit your application online. We review applications on a rolling basis, so applying early is recommended. Technical Assessment – Selected candidates will complete a technical interview with the relevant team. Interviews – Shortlisted candidates will take part in interviews, either on-site or via Microsoft Teams. We’ll explore your technical foundations, how you reason through engineering problems and how you work with others. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: United States Workplace: remote About Lyra Health Lyra Health is a leading provider of evidence-based mental health care, serving more than 20 million people globally in partnership with employers and more than 100 million through health plan and partner relationships. The company has delivered more than 15 million sessions of mental health care, published more than 35 peer-reviewed studies, and delivered unmatched outcomes in terms of access, clinical effectiveness, and cost efficiency. Extensive peer-reviewed research confirms Lyra’s transformative care model helps people recover twice as fast and results in a 26% annual reduction in overall healthcare claims costs. Lyra is transforming access to life-changing mental health care through Lyra Empower, the only fully integrated, AI-powered platform combining the highest-quality care and technology solutions. About The Role We are seeking an experienced Director, Provider Performance & Analytics to build and oversee the measurement architecture for provider performance across all clinical service lines. In this role, you will define how Lyra measures provider capacity, availability, schedule utilization, productivity, and quality across a diverse clinical workforce spanning therapy, coaching, medication management, high-acuity care, substance use treatment, and neuropsychology. Operating at the intersection of Clinical Leadership, Operations, Data Analytics, Finance, and Product, you will establish common performance definitions, build scalable measurement frameworks and executive dashboards, diagnose systemic performance variation, and translate data insights into operational management systems. The ideal candidate brings strong healthcare analytics and performance expertise—combining hands-on quantitative data fluency and systems thinking with proven operational judgment in a complex healthcare environment. What You’ll Do: Performance Architecture & Vision: Define the multi-year roadmap for provider performance measurement and management across therapy, coaching, medication management, high-acuity care, substance use treatment, neuropsychology, and future service lines. Establish a unified performance architecture that appropriately accounts for differences in clinical disciplines, care modalities, and patient populations. Metric Logic & Data Governance: Partner with Clinical, Analytics, Finance, and Operations leaders to define the exact metrics and methodologies for provider supply, availability, active panel capacity, schedule utilization, productivity, and access. Establish standardized metric definitions, governance, and single sources of truth across the enterprise. Analytics, Dashboards & Decision Support: Translate performance strategy into actionable dashboards, scorecards, forecasting capabilities, and decision-support tools. Ensure data is tailored for action across all levels—from frontline providers and clinical managers to service-line and C-suite leadership. Systemic Diagnosis & Capacity Oversight: Develop scalable approaches to model provider capacity across employment models (W2 vs. 1099), clinical specialties, and care modalities. Partner with service-line leaders to establish appropriate productivity expectations and identify the operational drivers of provider availability and utilization. Ownership of Provider Reviews & Escalations: Establish mechanisms for provider goal setting, performance reviews, and escalations. Partner closely with Clinical Leadership and People teams on appropriate ownership of individual provider performance. Executive Reporting & Business Reviews: Develop executive-level reporting and recurring business-review mechanisms (WBRs/QBRs) that clearly communicate network trends, variations, risks, and opportunities, helping senior leaders translate insights into organizational priorities and investment decisions. Team Scaling & Cross-Functional Leadership: Build, mentor, and develop a high-performing operations and analytics team, and serve as a trusted partner to senior leaders across Clinical, Operations, Analytics, Finance, Product, and People to build alignment. Core Requirements: 8–12+ Years in Healthcare Analytics, Health-Tech Operations, Care Delivery, or Strategy: Proven experience leading complex analytical or operational initiatives within health systems, care delivery organizations, multi-site medical groups, tech-enabled health platforms, value-based care, or healthcare management consulting. 5+ Years of Direct People Management: Demonstrated track record of scaling high-performing analytics or operations teams and fostering a culture of disciplined problem-solving. Systems Thinking & Problem Structuring: Exceptional ability to break down complex, ambiguous business problems, define underlying metric frameworks, isolate root-cause drivers, and translate quantitative insights into clear operational solutions. Quantitative Data Fluency: Hands-on technical data comfort (e.g., SQL, BI platforms like Domo/Tableau/Looker, data schema scoping) with a strong track record of partnering directly with Data Science, Engineering, and BI teams on data modeling and metric logic. Strategic Clinical & Executive Partnership: Proven track record of collaborating effectively with non-technical executive stakeholders—especially clinical or medical leaders—to build buy-in, translate complex data, and establish shared operational goals. Preferred Experience: Direct Care Delivery & Provider Analytics Depth: Prior experience specifically designing provider performance measurement frameworks, capacity models, or schedule utilization metrics within a medical group, health system, or direct care delivery organization. Complex Network & Employment Scaling: Experience managing performance metrics or capacity modeling across heterogeneous clinician types (e.g., prescribers vs. therapists) or hybrid employment models (W2 vs. 1099). "We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law.   By applying for this position, you acknowledge that your personal information will be processed as per the Lyra Health Workforce Privacy Notice. Through this application, to the extent permitted by law, we will collect personal information from you including, but not limited to, your name, email address, gender identity, employment information, and phone number for the purposes of recruiting and assessing suitability, aptitude, skills, qualifications, and interests for employment with Lyra.  We may also collect information about your race, ethnicity, and sexual orientation, which is considered sensitive personal information under the California Privacy Rights Act (CPRA) and special category data under the UK and EU GDPR.  Providing this information is optional and completely voluntary, and if you provide it you consent to Lyra processing it for the purposes as described at the point of collection, for example for diversity and inclusion initiatives.  If you are a California resident and would like to limit how we use this information, please use the Limit the Use of My Sensitive Personal Information form.  This information will only be retained for as long as needed to fulfill the purposes for which it was collected, as described above. Please note that Lyra does not “sell” or “share” personal information as defined by the CPRA. Outside of the United States, for example in the EU, Switzerland and the UK, you may have the right to request access to, or a copy of, your personal information, including in a portable format; request that we delete your information from our systems; object to or restrict processing of your information; or correct inaccurate or outdated personal information in our systems. These rights may be subject to legal limitations. To exercise your data privacy rights outside of the United States, please contact globaldpo@lyrahealth.com. For more information about how we use and retain your information, please see our Workforce Privacy Notice." As a full-time Director, Provider Performance & Analytics, you will be employed by Lyra Health, Inc. The anticipated annual base salary range for this full-time position is $134,000 - $184,000. The base range is determined by role and level, and placement within the range will depend on a number of job-related factors, including but not limited to your skills, qualifications, experience and location. This role may also be eligible for discretionary bonuses.  Annual salary is only one part of an employee’s total compensation package at Lyra. We also offer generous benefits that include: Comprehensive healthcare coverage (including medical, dental, vision, FSA/HSA, life and disability insurances) Lyra for Lyrians; coaching and therapy services Equity in the company through discretionary restricted stock units Competitive time off with pay policies including vacation, sick days, and company holidays Paid parental leave 401K with up to 3% matching Monthly tech allowance We like to spread joy throughout the year with well-being perks and activities, surprise swag, regular community celebration…and more! We can’t wait to meet you.

Location: Argentina Brainlabs is the independent, founder-led agency building the future of media. We have over 1000 Brainlabbers based across the global, all united through the 12 principles laid out in our Culture Code. We're full-service, with people and AI agents working side by side, all aligned to one thing: maximizing our clients' revenue through a genuinely scientific approach to media. If you want to help play your part in achieving this for the world's biggest brands in an environment that will support and challenge you in equal measure, this is where you do it. Tell me about this role! As a Manager, SEO & Data Analytics , you will help shape how we define, measure, and report performance across a single enterprise SEO program. You will turn complex search, AI visibility, keyword, and reporting requirements into clear methodologies that client teams can use with confidence. This role sits at the intersection of SEO strategy, data analysis, and stakeholder reporting, helping ensure our measurement approach is consistent, actionable, and aligned to client business goals. What you do Define reporting requirements, measurement frameworks, and governance standards across SEO and AI Search workstreams for a single enterprise client. Build durable approaches for keyword coverage, AI visibility tracking, prompt categorization, reporting cadence, and KPI interpretation. Partner closely with SEO, data, and client delivery teams to turn ambiguous asks into structured requirements. Identify reporting risks or gaps and ensure insights are clear enough to support executive-level decision-making. Who you are Strong enterprise SEO, B2B SaaS, measurement, and reporting experience Comfortable working with imperfect or evolving data, with the ability to create structure, rigor, and consistency BigQuery and Adobe Analytics experience Strong data analysis skills with the ability to translate technical details into clear business implications Highly organized, detail-oriented, and confident working across SEO, analytics, and client stakeholders How you succeed You will live our culture code every day! Effective campaign creation and delivery metrics. Internal targets/metrics on technology adoption and process optimisation met. You will hit our quality assurance metrics on all campaigns you lead. Client satisfaction targets being met (internal & external). Learning certifications created and met across the practice. Actively managing workload of your delivery teams to maximize output. What's in it for you ✨ This is a full time role (en relación de dependencia) Hybrid salary (50% of your net salary in USD) 20 working days vacation plus all Argentina public holidays. Private healthcare (OSDE 360). Adaptive/hybrid working. Free breakfast and lunch when in office. Access to learning and development opportunities. Mobility programmes - work from another country for up to 30 days! #LI-CO1 What happens next? We know searching for a job is tough and that you want to find the best career and employer for you. We also want to ensure that this position is the best fit for both you and us. Therefore, you will participate in a comprehensive interview process that includes skills interviews with our team. The goal of this process is to allow you to get to know us as we learn more about you. A note on our offices: We pride ourselves in being a company with an office-centric culture and, for the majority of roles we expect people to be in commuting distance of the office and come in for around 3 days per week. Brainlabs actively seeks and encourages applications from candidates with diverse backgrounds and identities. We are proud to be an equal opportunity workplace: we are committed to equal opportunity for all applicants and employees regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion, or belief, and marriage and civil partnerships. If you have a disability or special need that requires accommodation during the application process, please let us know! For details regarding our data processing activities, please refer to our Candidate Privacy Notice Protect Yourself from Job Scams: We've been made aware of fraudulent job offers circulating in Brainlabs' name. Your safety is our priority, so please stay vigilant. Brainlabs will never ask you to transfer money, pay for a job opportunity, or request sensitive information such as Social Security numbers, banking details, or passwords via email, WhatsApp, or unsecured channels. Our official hiring communications only come from verified email domains (@brainlabsdigital.com, @brainlabs.ai, @exverus.com, @jacknimble.com.au, @sparro.com.au) and trusted platforms including Greenhouse, Upwork, Yuno Juno, and Remote. If you receive a suspicious message claiming to be from Brainlabs, do not engage. Instead, forward it immediately to security@brainlabsdigital.com . We're committed to protecting our community and ensuring a safe candidate experience. Thank you for your vigilance.

Location: Algiers, Algeria Workplace: hybrid Yassir is the leading super App in the Maghreb region set to changing the way daily services are provided. It currently operates in 45 cities across Algeria, Morocco and Tunisia with recent expansions into France, Canada and Sub-Saharan Africa. It is backed (~$200M in funding) by VCs from Silicon Valley, Europe and other parts of the world. We offer on-demand services such as ride-hailing and last-mile delivery. Building on this infrastructure, we are now introducing financial services to help our users pay, save and borrow digitally. Helping usher the continent into a digital economy era. We’re not just about serving people - we’re about creating a marketplace to bring people what they need while infusing social values.   About the Role: We are seeking a visionary Analytics Manager to lead and expand our analytics capabilities. This pivotal role will oversee a dynamic team of business intelligence specialists and data analysts who are responsible for delivering actionable insights across Yassir’s ecosystem. You will be a key player in shaping Yassir’s data-driven strategy, enabling business growth, improving operational efficiency, and enhancing customer satisfaction across our ride-hailing, food delivery, and financial services verticals. Key Responsibilities: Strategic Leadership: Develop and implement Yassir’s analytics strategy, ensuring alignment with business objectives across diverse markets. Build and scale a robust analytics framework to support strategic decision-making across product, operations, marketing, and finance. Team Development and Management: Lead, mentor, and inspire a team of data analysts and BI professionals, fostering a culture of collaboration and innovation. Ensure professional development and alignment of team goals with Yassir’s mission and business priorities. Establish best practices for data governance, reporting, and visualization. Insights and Decision Support: Collaborate with leadership and functional teams to translate business challenges into analytics-driven solutions. Oversee the creation of dashboards, KPIs, and ad hoc analyses to support product optimization, operational excellence, and customer retention. Drive the adoption of self-service analytics tools to democratize data access and empower stakeholders across the organization. Operational Excellence: Partner with data engineering to ensure the quality, integrity, and scalability of Yassir’s data infrastructure. Manage and prioritize analytics initiatives, ensuring timely delivery and measurable impact. What We're Looking For:

Location: London Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Join our risk team in London as a Risk Analytics Associate, supporting some of the firm’s most complex and high-impact initiatives. Role responsibilities Perform detailed analysis of VaR, stress and scenario results, identifying key drivers and escalating material risks in partnership with trading and risk management teams Produce, enhance and interpret sophisticated risk analytics and reporting across multi-asset portfolios, including systematic strategies Support day-to-day risk monitoring processes while contributing to longer-term enhancements of the risk analytics framework Work closely with front office traders, quants and senior risk stakeholders to provide actionable risk insight Liaise with further stakeholders across the firm, including the wider risk function, operations, and senior leadership Required experience and skills Degree in Mathematics, Physics, Statistics, Engineering, or a related scientific discipline 5–10 years’ experience in a comparable risk, analytics, or quantitative role High level of technical proficiency, including Python Experience in market risk management is advantageous Strong attention to detail and a high standard of analytical accuracy Clear and effective written and verbal communication skills Strong problem-solving ability

Location: St. Petersburg, United States FreeUp is looking for a skilled Freelance Digital Analytics Specialist for a unique project. If you have expertise in Google Analytics, Google Search Console, Event Tagging, and Google Tag Manager, we want to hear from you! Key Responsibilities: Google Analytics : Set up, manage, and analyze data to provide insights on website performance and user behavior. Google Search Console : Monitor website traffic, performance, and SEO metrics to ensure the health of our digital presence. Event Tagging : Implement and manage event tracking within Google Analytics to measure user interactions and key conversions. Google Tag Manager : Create, manage, and troubleshoot tags to efficiently track and manage website data. Data Exports : Upload data exports into Datorama and Power BI via FTP, ensuring accurate and timely data integration. HubSpot : Leverage HubSpot expertise to optimize CRM processes, manage campaigns, and analyze customer data. Required Skills: Proven experience with Google Analytics, including advanced features and reporting. Strong knowledge of Google Search Console and its applications in SEO. Expertise in setting up and managing event tagging within Google Analytics. Proficiency in Google Tag Manager for managing tags, triggers, and variables. Experience with uploading data exports into Datorama and Power BI via FTP. Solid understanding of HubSpot backend. Excellent problem-solving skills and attention to detail. Salary: $25 – $75 / hour

Location: Cairo, Egypt; Alexandria, Egypt; Nairobi, Kenya; Belgium; Belgrade; Bucharest; Cape Town, South Africa; Croatia; Greece; India; Dublin, Ireland; Lisbon; Remote; Sofia; Tirana Workplace: remote Yassir is the leading super App in the Maghreb region set to changing the way daily services are provided. It currently operates in 45 cities across Algeria, Morocco and Tunisia with recent expansions into France, Canada and Sub-Saharan Africa. It is backed (~$200M in funding) by VCs from Silicon Valley, Europe and other parts of the world. We offer on-demand services such as ride-hailing and last-mile delivery. Building on this infrastructure, we are now introducing financial services to help our users pay, save and borrow digitally. Helping usher the continent into a digital economy era. We’re not just about serving people - we’re about creating a marketplace to bring people what they need while infusing social values. About the Role: We are seeking a visionary Analytics Manager to lead and expand our analytics capabilities. This pivotal role will oversee a dynamic team of business intelligence specialists and data analysts who are responsible for delivering actionable insights across Yassir’s ecosystem. You will be a key player in shaping Yassir’s data-driven strategy, enabling business growth, improving operational efficiency, and enhancing customer satisfaction across our ride-hailing, food delivery, and financial services verticals. Key Responsibilities: Strategic Leadership: Develop and implement Yassir’s analytics strategy, ensuring alignment with business objectives across diverse markets. Build and scale a robust analytics framework to support strategic decision-making across product, operations, marketing, and finance. Team Development and Management: Lead, mentor, and inspire a team of data analysts and BI professionals, fostering a culture of collaboration and innovation. Ensure professional development and alignment of team goals with Yassir’s mission and business priorities. Establish best practices for data governance, reporting, and visualization. Insights and Decision Support: Collaborate with leadership and functional teams to translate business challenges into analytics-driven solutions. Oversee the creation of dashboards, KPIs, and ad hoc analyses to support product optimization, operational excellence, and customer retention. Drive the adoption of self-service analytics tools to democratize data access and empower stakeholders across the organization. Operational Excellence: Partner with data engineering to ensure the quality, integrity, and scalability of Yassir’s data infrastructure. Manage and prioritize analytics initiatives, ensuring timely delivery and measurable impact. What We're Looking For: Experience: 8+ years in analytics, business intelligence, or similar roles, with at least 3 years managing teams. Experience scaling analytics functions in fast-paced, high-growth environments, ideally within tech or platform businesses. Technical Expertise: Proficiency in analytics tools (e.g., SQL, Tableau, Looker, or Power BI). Familiarity with data warehousing solutions (e.g., Snowflake, BigQuery) and ETL processes. Strong analytical skills and a proven ability to convert data into actionable insights. Leadership and Collaboration: Exceptional communication and stakeholder management skills to align technical teams and business leaders. Experience leading multicultural teams across diverse geographies. Proven track record of hiring, retaining and growing top talent in various data-related disciplines Education: Master’s degree in computer science, Statistics, Economics, or related fields; advanced degrees are a plus. Nice-to-Have: Proficiency working in French. Experience in ride-hailing, food delivery, or fintech industries. Knowledge of advanced analytics techniques, including machine learning or predictive modeling. Experience working in the geographies where Yassir operates. Why Join Yassir? At Yassir, you’ll be part of a mission-driven team working to revolutionize the way people live and work in the MENA region and beyond. Join us to shape the future of on-demand services and fintech while enjoying: A competitive compensation package and equity. Professional growth opportunities in a fast-growing, Series B-funded startup. The chance to build a world-class technology company in North Africa. At Yassir, we believe in the power of diversity and the importance of an inclusive culture. So, if you're ready to bring your unique perspective and experiences to the table, then we're excited to listen. Don't just apply for a job, come and be a part of our journey. Let's create a better tomorrow together. We look forward to receiving your application! Best of luck, Your Yassir TA Team

Обязанности: Задачи: сбор, согласование и формализация требований бизнеса к отчетности и метрикам; написание SQL витрин данных и запросов;

Задачи: — Изучение текущих бизнес-процессов, моделирование схем AS IS и TO BE в нотации BPMN. — Формализация ролей и ответственности, выявление дублирования функций и узких мест. — Разработка дорожной карты изменений и оценка результатов в денежном выражении и человеко-часах. — Основные области работы включают бухгалтерию, финансы, продажи, кадровое делопроизводство, документооборот, согласования, проектное управление, межотдельное взаимодействие и декомпозицию стратегических целей. — Первый этап проекта длится до 3 месяцев и включает аудит и защиту дорожной карты перед собственником. — Второй этап длится до 6 месяцев и предполагает реализацию изменений с фиксацией экономического результата. — Возможна длительная работа в проекте или в штате с прямым подчинением собственнику бизнеса. — Выбор и внедрение программного обеспечения в задачи не входит. Требования: — Опыт процессного анализа в реальном секторе, предпочтительно в сетевом бизнесе, медицине, HoReCa или ритейле. — Отличное знание BPMN и умение понятно описывать сложные бизнес-процессы. — Педантичность, усидчивость, внимание к деталям, твёрдость в аргументации и ориентация на измеримый результат. Условия: — Удалённая работа, полная занятость. Контакт для отклика: @olshevskayalyona ⚠️ Внимание: если работодатель просит войти в их систему через iCloud/Google, прислать код или запустить код/ПО — это мошенники.

Задачи: — оценивать потенциал инициатив — формировать бэклог тестов — запускать A/B-тесты — принимать решения о масштабировании изменений Требования: — опыт работы в продуктовой аналитике — владение SQL, Python и инструментами визуализации данных — умение строить воронки, проводить когортный анализ и рассчитывать финансовые метрики — знание статистики и принципов проведения A/B-тестов — способность формулировать гипотезы, расставлять приоритеты и доводить их до результата — опыт в банке, финтехе или кредитовании и понимание риск-метрик будет преимуществом Условия: — рабочая неделя 5/2 — гибридный формат работы, офис у метро Белорусская Вакансия охватывает несколько направлений: бизнес-карты, корпоративное финансирование, сегменты и совокупную доходность, Collection B2B.

Location: Paris, France Workplace: Hybrid We’re a team of experts pushing the limits of what’s possible, united by our common goal to unlock true freedom through digital ownership, making technology accessible for all. We believe in a world where users, creators and enterprises manage their value with ownership and freedom. Our curiosity drives us to innovate, empowering individuals on a global scale. We believe change is constant and our team moves forward as one, with a culture of problem-solving where every employee is empowered and supported to challenge tradition and create solutions. Our mission is simple: to make self-custody accessible and give people the keys to their own financial futures. If you want to make a true impact, we want you to join us at Ledger. At Ledger, we’re proud to be the global platform for digital assets and Web3, with over 20% of the world’s crypto assets secured through our Ledger devices. With our headquarters in Paris, and offices in Vierzon, Grenoble, Montpellier, London, Portland, Geneva, Zurich and Central Singapore, we have a team of around 600 professionals developing a variety of products and services to enable individuals and companies to securely buy, store, swap, grow and manage crypto assets – including the Ledger hardware wallets line with more than 7.5 millions units already sold in 200 countries. The team As a Product Analytics Engineer Intern, you will join the Product Analytics team supporting Ledger Wallet across Product, Business, and Growth/CRM teams. Reporting directly to the Product Data Analytics Manager, you will play a key role in ensuring tracking data quality, and scaling our analytics infrastructure to support company-wide data-driven decision-making. What you’ll be doing - Cross-Functional Collaboration: Work closely with Product Managers, Data Engineers, and Data Scientists to deliver insights and support Growth/CRM personalization pipelines. - Experimentation & A/B Testing: Specify and support A/B test setups, funnel evaluation, and advanced statistical analysis for product features. - AI Governance & Automation: Help establish governance, guardrails, and custom skills for users querying analytics platforms (Mixpanel, Snowflake MCP) via AI tools, and contribute to building end-to-end AI-assisted tracking workflows. - Tracking Quality & Investigations: Triage, investigate, and follow up on tracking issues to maintain data sanity. - Documentation & Enablement: Develop comprehensive documentation and data models (dbt/data mart) to empower stakeholders - Privacy & Compliance: Maintain standard privacy-aware constraints across all data modeling and analytics workflows. What we're looking for - Final-year student in Engineering, Computer Science, Data Science, or a related technical field seeking an end-of-studies internship. - Strong proficiency in SQL, Python scripting, and data modeling concepts. - Analytics engineering mindset with a focus on data quality, reliability, reproducibility, and documentation. - Understanding of A/B testing methodologies, statistical analysis, and funnel evaluation. - Familiarity with Product Analytics tools (e.g., Mixpanel, Amplitude) and data visualization tools is a strong plus - Hands-on experience or deep curiosity regarding AI agents and workflow automation is a strong plus. - Excellent written and verbal communication skills in English. - Interest in Web3, digital assets, and crypto is a plus. At Ledger, we are dedicated to continually investing in our employees which is why we offer more than just salaries; we provide comprehensive compensation packages that include a wide range of benefits. Here are some of the benefits you can look forward to: - Flexible work options - Our hybrid policy allows employees to work from home up to 3 times per week - Health & Wellness support - Health and Life Insurance. - Financial growth opportunities - Employees can become shareholders in Ledger as well as other financial benefits depending on your country of work. - Commuter allowance - Ledger offers a commuter allowance to contribute to your preferred means of transportation. - Learning & Development - A comprehensive suite of training solutions providing a personalised learning experience for every employee. For regionally specific benefits, your Talent Acquisition contact will be able to provide you with more information. We’re committed to building an inclusive hiring process. If you need any adjustments or accommodations, just let us know, we’ll do our best to support you.

Задачи: — Сбор, анализ и документирование бизнес-требований (БТ), функциональных требований (ФТ) и нефункциональных требований (НФТ). — Создание проектной документации, включая спецификации, технические задания (ТЗ), функциональные спецификации (FSD), инструкции и архитектурные документы. — Проектирование интеграций. — Описание графических и текстовых бизнес-процессов, а также пользовательских сценариев. — Постановка задач командам разработки. — Участие в функциональном тестировании. Требования: — Опыт работы системным аналитиком не менее 5 лет. — Уверенное владение SQL. — Опыт проектирования веб-сервисов с нуля. — Обязательный опыт работы с Kafka, REST, SOAP, RabbitMQ. — Обязательный опыт работы с PostgreSQL. — Опыт написания технической документации (ТЗ, ФТ и др.). — Высокий уровень самостоятельности. Условия: — Полная занятость, график 5/2. — Удалённый формат работы.

Задачи: — Проводить встречи с бизнесом и сессии по сбору требований. — Вести дорожную карту и выполнять gap-анализ. — Выявлять риски и причины системных ошибок. — Взаимодействовать с разработчиками и участвовать в Scrum-церемониях. Требования: — Опыт работы системным аналитиком от 2 лет. — Навыки сбора и документирования требований. — Умение моделировать процессы в UML и BPMN. — Опыт построения ER-диаграмм, диаграмм вариантов использования и последовательностей. — Навыки проектирования REST API. — Уверенное владение SQL. — Опыт работы с Agile, Scrum или Kanban. — Знание практик информационной безопасности. — Умение вести документацию и договариваться с заинтересованными сторонами. — Английский язык на уровне не ниже Upper-Intermediate. — Немецкий язык на уровне не ниже Intermediate. Условия: — Работа над крупными международными проектами. — Доступ к базе знаний. — Компенсация сертификаций. — Возможности профессионального роста и менторства.

Задачи: — Собирать и формализовывать требования бизнеса и эколога-методолога. — Готовить постановки задач и функциональные спецификации. — Описывать бизнес-процессы и модели данных. — Прорабатывать интеграции. — Участвовать в приёмке и тестировании новых модулей. — Сопровождать пользователей и разбирать обращения. Система охватывает учёт выбросов, водопользования, парниковых газов и формирование экологической отчётности. Требования: — Опыт бизнес-анализа от 1–2 лет. — Навыки сбора требований и подготовки технических заданий. — Знание BPMN и UML. — Уверенное владение SQL и умение работать с данными. — Понимание основ экологического учёта и отчётности либо готовность быстро освоить предметную область. — Умение ясно объяснять сложные вопросы специалистам разных профилей. — Опыт интеграций через REST API и шины данных будет плюсом.

Требования: — Сильный целеустремлённый аналитик, которому интересно самому заниматься задачами выше — Хорошо владеть SQL и Python — Желание быть полноценным партнёром продакт‑менеджеров в развитии продукта О компании: — социальная коммерция во ВКонтакте Формат работы: удалённо, география: весь мир.

Задачи: — Анализ ключевых метрик продаж, проведение план-факт анализа; — Разработка планирования по каналам и филиалам; — Автоматизация отчетов и оптимизация процессов аналитики с использованием Excel; — Создание и сопровождение дашбордов в Power BI; — Выгрузка данных по продажам и заявкам с помощью Oracle SQL; — Подготовка и разработка отчетных презентаций для руководства. Требования: — Высшее образование; — Аналитический склад ума; — Уверенное владение Excel и Power BI; — Знание Oracle SQL; — Аналитическое мышление, способность быстро разбираться в новых областях; — Умение анализировать текущую ситуацию в сравнении с прошлой; — Навыки принятия решений; — Способность и желание к обучению; — Отличные коммуникативные навыки; — Внимательность к деталям; — Умение четко и ясно выражать свои мысли. Условия: — Фиксированный оклад и квартальные бонусы; — Возможности профессионального развития и карьерного роста; — Качественное обучение и поддержка для достижения успехов; — Комфортные условия труда; — Офис в центре города (Алматы, пр.Достык, 140); — Медицинское страхование после 6 месяцев работы; — Онлайн психолог; — Молодая и дружная команда специалистов.