Serve as the primary technical partner to Finance, translating vague business questions into concrete quantitative analyses and automated reporting products.
Own the data lifecycle from raw ingestion to visualization; architecting clean, documented dbt models that replace manual ad hoc queries.
Apply statistical techniques to explain variances in performance and improve the accuracy of forecast models.
Write DBT SQL pipelines to automate and manage data assets in Snowflake for our product partners.
Conduct statistical analysis of product usage and engagement data using Python/R with Hex.tech.
Use Sigma Computing to find insights in our customer journey and conduct business enhancing analytical projects.
Vanta helps businesses earn and prove trust by making security continuous and easily verifiable. They have a kind and talented team and thousands of companies rely on them in a way that's real-time and transparent.
Collaborate with cross-functional partners across Product, Engineering, Research, and more to solve product development's biggest challenges.
Use data to identify opportunities, upcoming challenges, and ensure products bring value to people and businesses.
Partner with teams to prioritize what to build, set goals, and understand their product’s ecosystem.
Atlassian's software products help teams all over the planet, with solutions designed for all types of work. Team collaboration through their tools makes what may be impossible alone, possible together; they value the unique contributions of all Atlassians.
Derive facts from data and translate them into actionable insights and recommendations.
Support the business with identifying opportunities and making intelligent, data-driven decisions.
Create, automate and visualize reports and analysis for both top management and local teams.
Docplanner aims to make healthcare more human by empowering patients and providing doctors with technology to manage bookings. They are a global company with over 2,500 employees and maintain a startup-mindset culture.
Transform raw data into meaningful insights through analysis, dashboards, and reporting.
Partner with stakeholders to understand business questions and translate them into analytical solutions.
Provide visibility into performance and uncover opportunities for improvement.
Oowlish is a rapidly expanding software development company in Latin America that is seeking experienced technology professionals to enhance their diverse and vibrant team.
Analyze integrated datasets to influence business decisions.
Collaborate with stakeholders to develop solutions and deliver insights.
Identify and resolve data, process, and technical issues.
Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly. They objectively and fairly assess fit based on the role's core requirements, identifying top candidates for hiring companies.
Build and maintain data pipelines integrating financial data from various systems.
Ensure data quality, lineage, and governance standards for finance data systems.
Build predictive models for customer lifetime value, churn, and revenue forecasting.
Oura empowers individuals to understand and improve their health through their Oura Ring and connected app, providing insights into readiness, activity, and sleep. They are a rapidly growing company focused on helping people live healthier and happier lives.
Collaborate with Finance, Sales, Marketing, and Product partners to frame data-centric business questions and deliver clear, actionable insights.
Analyze complex, cross-functional datasets to identify trends, risks, and opportunities that inform strategic and operational decisions.
Build, maintain, and enhance dashboards and reports that make financial and business performance easy to understand for non-technical stakeholders.
GitLab is an open-core software company that develops the most comprehensive AI-powered DevSecOps Platform, used by more than 100,000 organizations. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Design, develop, and maintain data pipelines to integrate data from multiple sources.
Build and lead a high-performing data engineering team across multiple geographies.
Partner with Product Managers and Technical Leads to ensure alignment between data initiatives and business outcomes.
HighLevel is an AI-powered, all-in-one white-label sales and marketing platform that empowers agencies, entrepreneurs, and businesses to elevate their digital presence and drive growth. With over 1,500 team members across 15+ countries, they operate in a global, remote-first environment, fostering a culture of innovation, collaboration, and impact.
Engineer and validate consumer-level attributes from credit bureau and alternative data sources.
Apply statistical techniques to uncover insights and improve predictiveness.
Monitor attribute performance for stability, compliance, and accuracy.
Experian is a global data and technology company, powering opportunities for people and businesses around the world. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), they have a team of 22,500 people across 32 countries, investing in people and new advanced technologies to unlock the power of data.
Partner across the business to deliver insights and enable data-driven decision-making. Perform financial analysis, forecasting, and modeling to support strategic decisions. Develop dashboards and visualizations in BI tools (Power BI/Tableau).
Sutherland is a company that brings a unique value proposition through market-leading technology and business process excellence to iconic brands worldwide.
Partner closely with business and leadership stakeholders to understand objectives, decision frameworks, and long-term priorities
Lead the design and development of robust data products such as standardized dashboards, metric layers, analytical models, and self-service tools
Proactively identify opportunities to improve how data is consumed, governed, and operationalized
MyEdSpace is an education technology platform that connects teachers with students. They are backed by $15m in Series A funding and aim to make a world-class education accessible to all.
Partner with stakeholders to translate business challenges into data science problems.
Own the end-to-end lifecycle of data science models, from data exploration to deployment.
Develop scalable and efficient models, balancing algorithmic complexity with business needs.
Ocrolus helps lenders automate workflows with confidence, streamlining how financial institutions evaluate borrowers and enabling faster, more accurate lending decisions.
Provide flexible, trustworthy data models by transforming data from multiple sources with DBT, testing for quality, deploying to visualization tools and publishing documentation.
Collaborate directly with stakeholders to define problems and determine requirements for a solution. Set and maintain best practices for data models and processes.
Proactively identify gaps or design flaws in our data models, and bring recommendations for how to fix them. Own documentation of our tools and data.
Articulate Global, LLC, is a SaaS provider of creator platforms for online workplace training. They have more than 118,000 customers in 170 countries and counts all 100 of the Fortune 100 companies as customers. They are named one of Inc. Magazine’s Best Workplaces 2022 and a leader in building a human-centered organization.
Conduct advanced data analysis and modeling to generate insights using statistical models and machine learning.
Translate complex data science concepts into actionable business insights for senior executives.
Collaborate with cross-functional teams to ensure the successful delivery of high-impact data science initiatives.
ConnectiveRx untangles the prescription process and creates a clear path—allowing patients to build trusting relationships with their medication brands.
Manage our thought leadership strategy, grounded in data analysis and empirical thoughtfulness.
Use Python and SQL to independently explore datasets, validate hypotheses, and surface unique insights.
Translate analytical findings, model outputs, and product capabilities into clear, market‑facing narratives that demonstrate value.
Experian is a global data and technology company, powering opportunities for people and businesses around the world. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), they have a team of 22,500 people across 32 countries and their corporate headquarters are in Dublin, Ireland.
Enhance analytics platforms to support reliable, scalable reporting across the company.
Develop semantic layers, dashboards, metrics definitions, and data models that power self-service analytics.
Partner with teams to improve tracking, instrumentation, and data quality, ensuring accurate analyses and experimentation.
GameChanger believes in the life changing impact youth sports have. By building the first and best place to experience the youth sports moments important to our community, they are helping families elevate the next generation through youth sports. They are a remote first, dynamic tech company based in New York City.
We are seeking a highly skilled and motivated Senior Data Scientist to join a dynamic, data-driven team. Work on designing, building, and enhancing AI-powered analytics solutions that transform how organizations manage financial risk and optimize spend. Collaborate closely with product managers, engineers, and fellow data scientists to deliver machine learning models and analytical tools that have a direct impact on business outcomes.
Jobgether is a company that uses AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements.