Top Data Analyst Jobs

The Compliance Data Analyst will manage compliance data, analyze and summarize trends, and collaborate with various teams to address compliance inquiries and improve processes.

Lead a small team in advanced quantitative analysis, transforming data into insights, developing dashboards, and ensuring data integrity. Collaborate cross-functionally to drive strategic decision-making.

The Data Analyst designs and develops reporting and analyses for Managed Services customers, ensuring accurate and useful reporting and dashboards. Responsibilities include report generation, ad-hoc reporting, and collaborating with stakeholders to enhance data solutions.

The Sr. Data Analyst will analyze complex datasets, generate actionable insights, and deliver scalable analytics solutions to support decision-making in Film and TV business areas.

The Research Data Analyst will analyze alternative datasets, improve data quality, and collaborate with stakeholders to enhance insights for trading and research.

Define and gather data requirements for eligibility/membership and claims; perform data profiling and QA; translate business needs into data functional specifications; collaborate with data engineers on ETL and production processes; author documentation and test plans; investigate data issues and recommend solutions; develop analyses and communicate code/process changes to stakeholders.

The Senior Business Data Analyst will conduct data analyses, develop reports, and support statistical modeling and data visualization, while providing insights for business solutions.

The role involves defining and documenting requirements, configuring TMS, integrating systems, and identifying process improvements in logistics.

The role involves supporting SAP S/4 Finance functional design, translating financial processes into SAP, and assisting in testing system functionality under mentorship.

Assist with identity data analysis, develop user interfaces for data scientists, produce operational dashboards, and maintain documentation for data assets.

Analyze customer and merchandising data, build data pipelines and reports, write clean queries and code, conduct statistical analyses to identify trends and opportunities, and validate key metrics to inform business decisions.

The Data Analyst 2 will develop reports, data models, and support reporting needs while collaborating with various teams for data sourcing and management.

As a Data Analyst, you'll analyze data to shape user experience, drive business decisions, and optimize player engagement through experimentation and collaboration.

The Technical Data Analyst maintains and analyzes investment data, builds data systems, ensures data quality, and collaborates with clients and teams. Duties include data analysis, visualization, and continuous improvement in data management.

The role involves reconciling patient engagement data, codifying billing logic, automating tasks, and collaborating across teams to improve systems and processes.

The role involves improving transaction monitoring rules, analyzing risk patterns, and building dashboards for compliance while collaborating with investigations and compliance leadership.

The Lead Data Analyst will estimate marketing incrementality and improve performance using advanced data science techniques, leading growth initiatives and mentoring other analysts.

The Category Data Analyst supports sourcing activities, supplier relationships, and cost optimization through data analysis, market intelligence, and reporting, enabling strategic category management.

The data analyst will enhance player engagement at Zynga, presenting insights, improving player experience, and supporting VIP outreach through data analysis.

The Research Data Analyst will process and enhance alternative datasets, improve data quality, create visualizations, and collaborate with various stakeholders.

The Marketing Data Analyst will analyze digital marketing performance, automate reports, create dashboards, and interpret data from platforms like Google Analytics.

The Principal Revenue Data Analyst will build analytics and automation for finance controls, create data models, dashboards, and ensure data quality while collaborating cross-functionally.

Support audit operations for implants and high-cost drugs by validating, repricing claims, writing SQL queries, and producing reports.

The Principal Data Analyst will innovate data solutions, provide business intelligence, manage data quality, and collaborate with teams on data governance.

As a Data Analyst, you will analyze and report on large datasets, ensure data quality, automate deliverables, and provide insights to drive decisions within the Finance team.