Develop SQL queries to analyze and interpret data for relevant insights.
Design and present Tableau dashboards to communicate business insights.
Collaborate with teams to conduct ad hoc research, impact analysis, and validate issue resolutions.
Experian is a global company in data services, helping organizations and consumers manage risk and make informed decisions. With over 125 years of experience and 21,700 employees across 30 countries, they specialize in data gathering, analysis, and fraud prevention.
Work with Finance and Accounting stakeholders to understand reporting needs and assist in defining analytical requirements.
Build and update Tableau dashboards and reports, ensuring they are accurate, well-documented, and easy for stakeholders to use.
Assist in identifying and investigating trends and anomalies in financial and operational data, and summarize findings for stakeholders
They are a digital financial services company, offering innovative, people-centered products. They operate in Australia, New Zealand, and the US, connecting millions of customers with a global network of merchants; they are also a values-led business.
Review commercial finance processes, procedures, and transactions to ensure they comply with both internal and external standards.
Perform quality assurance tests and reviews of credit risk and performance data, documentation, commercial finance processes and reporting to identify discrepancies, inefficiencies, and areas for improvement.
Analyze data and generate detailed reports that highlight trends, findings, and recommendations for process enhancement.
Pathward is a financial empowerment company that works with innovators to increase financial availability, choice, and opportunity for all. They are a team of problem solvers and innovators who celebrate differences and believe unique perspectives make Pathward stronger and well-positioned for success.
Partner closely with two core product squads and their product managers to understand goals, define success metrics, and translate product ideas into concrete analytical plans.
Design and execute experiments on new and existing features, including scoping test populations, determining rollout strategies, and monitoring “do no harm” tests where sample sizes are smaller.
Write high-quality, efficient SQL (primarily in Snowflake via Hex) to investigate product questions, build custom analyses, and create clear, reusable queries that power reporting and decision-making.
ShiftKey is a platform that is disrupting the way healthcare facilities find licensed and certified professionals to fill available shifts. Leveraging marketplace dynamics and deep industry knowledge, the company is playing a vital role in mitigating America’s healthcare staffing shortages.
Oversee the analytics lifecycle, including data validation, modeling, dashboards, and reporting
Identify and implement automation opportunities to increase efficiency, reduce manual effort
Maintain data integrity, security, and adherence to governance standards across analytics projects
Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. They identify the top-fitting candidates and share this shortlist directly with the hiring company.
Support design and monitoring of EWA underwriting strategies and forecasting tools.
Query, clean, and analyze large bank transaction datasets using SQL and Python, or R/SAS).
Partner with Product, Engineering, Data Science, and Operations to implement updates to policies and decisioning logic.
Self Financial is a venture-backed, high-growth FinTech company with a mission to increase economic inclusion and financial resilience by empowering people to build credit and build savings. Their team is passionate about challenging the status quo of the credit industry by providing people accessible tools to take control of their credit.
Develop and implement a data quality strategy that aligns with business objectives and client needs.
Manage day-to-day operations to ensure timely and high-quality delivery of data quality programs.
Champion the adoption of generative AI tools to innovate data management.
Jobgether is a platform where AI is used to match job seekers to partner companies. The final hiring decisions are made by the partner company's internal team.
Develop and implement a comprehensive data quality strategy that aligns with business objectives and client needs.
Provide visionary leadership to the Data Quality Services team, setting clear objectives and promoting collaboration.
Manage the day-to-day operations of the Data Quality Services team to ensure timely delivery of programs.
Jobgether uses an AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly. Their system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company, with final decisions managed by the internal team.
Serve as the primary knowledge base for marketplace, funnel, and operational data across web analytics and first-party data systems.
Develop, build, and automate dashboards and reporting to provide clear insights and recommendations related to performance metrics.
Analyze end-to-end customer journeys to identify drop-offs, bottlenecks, and improvement opportunities.
Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. They identify the top-fitting candidates, and this shortlist is then shared directly with the hiring company.
Administer and maintain the Atlan Data Catalog, including user onboarding, role/permission configuration, data asset management, and integration with source systems.
Design, Implement, and continuously evolve Kapitus’s Atlan metamodel (custom asset types, custom properties, relationship models, classification taxonomy, business glossary structure, and propagation/lineage rules).
Partner with Data Engineering, Analytics, Product, and business data stewards to ingest and curate technical and business metadata, ensuring accuracy, completeness, and alignment with governance standards.
Kapitus is a reliable and respected name in small business financing. They provide small businesses with the financing they need by being both a direct lender and a marketplace built with a trusted network of lending partners. The company is fast paced, and teammates need to be self-directed.
Design, build, and maintain data models in our cloud data warehouse using dbt.
Own the transformation layer from raw and staged data to curated marts.
Promote and exemplify development standards and data quality for analytics engineering work.
Maven Clinic is the world's largest virtual clinic for women and families, dedicated to making healthcare accessible for everyone. With over $425 million in funding, they offer clinical, emotional, and financial support through their digital programs.
Design, develop, and optimize data pipelines and ETL processes to ensure high-quality data is available for analysis.
Analyze complex datasets to identify trends, patterns, and actionable insights that drive business performance.
Implement data quality checks and governance best practices to ensure data accuracy and reliability.
Modeling Data Solutions is seeking an experienced data analytics engineer to join its personal lines property team. This is an exciting opportunity to join the US Data Science Infrastructure department helping to support creating cutting edge pricing programs.
Collaborate with the Core Experience team to drive the ideation and rigorous analysis of product experiments.
Partner with Product, Finance, and Operations to build and maintain robust reports and dashboards specifically for our Core Experience product lines.
Write and optimize complex SQL queries to extract data from various sources for deep-dive analysis.
Acorns is a financial wellness app that helps everyday people and families save and invest money for the long term. Since 2014, Acorns has grown into a global company with multiple life-stage products serving the needs of kids, teens, adults, and parents.
You’ll support enterprise intelligence and data solutions by analyzing, curating, and transforming complex datasets.
You’ll help translate raw data into actionable insights, dashboards, and analytical outputs that support mission outcomes.
You’ll contribute to data quality efforts, assist with integration validation, and help ensure data products are reliable.
Oddball believes that the best products are built when companies understand and value the things they are working on. They value learning and growth and the ability to make a big impact at a small company.
Design and implement comprehensive quality assurance frameworks and methodologies across multiple frontline channels
Mentor frontline employees and facilitate knowledge transfer through coaching and feedback programs
Generate actionable insights from complex performance data to drive strategic decision-making and process improvements
Twilio is shaping the future of communications. They deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide, with a strong culture of connection and global inclusion.
Design, build, and optimize Power BI environment and data infrastructure.
Develop and support ETL workflows and validate sources to target mappings.
Design and maintain data models for reporting and analytics, ensuring data quality.
Connexus Credit Union serves members across all 50 states as a member-focused cooperative, returning profits to member-owners through high yields and competitive rates. They are a remote-first employer fostering collaboration and high performance, holistically caring for and developing employees to thrive.
Partner with program managers, domain experts, and end users to gather and clarify business and functional data requirements.
Review existing data workflows and business processes to identify inefficiencies, delays, or manual workarounds.
Analyze integrated datasets to produce insights that support operational and leadership decisions.
Rackner is a cloud-native software consultancy delivering solutions for startups, enterprises, and the public sector. They enable digital transformation through DevSecOps, AI/ML, and cloud-first innovation.