Top Analytics Jobs

The Senior Manager of Checkout Analytics will drive data-driven decision-making by generating insights from large datasets, collaborating with product managers, creating executive-facing dashboards, and mentoring team members. The role involves analyzing merchant product performance, synthesizing data to provide recommendations, and guiding best practices for analytics instrumentation.

The Lead Data Analyst at CareJourney will manage analytics projects, perform data analysis and visualizations, collaborate cross-functionally, create data mining models, and ensure quality of results while proactively engaging with teams.

The Sr Data Analyst will analyze large-scale data sets to identify trends, metrics, and optimization opportunities. Responsibilities include data mapping, gathering requirements, resolving data quality issues, and providing analytical support across departments. The role also involves developing dashboards and reports, ensuring data accuracy, and collaborating with stakeholders and teams.

The Qlikview Analyst will develop business analytics solutions focusing on requirement gathering and visualization of insights. They will lead small project teams, analyze complex problems across business areas, and drive data visualization strategies using tools like Qlik View and Tableau. They will also facilitate technical design and ensure requirements are met, while mentoring team members.

The Junior Data Analyst will support health services research by assisting in statistical analysis, database management, and technical support for an independent federal agency's initiatives. Responsibilities include managing data files, conducting analyses, preparing reports, and supporting workshops.

The Principal Data Scientist will lead the predictive analytics practice, focusing on deploying machine learning models for financial metrics and customer forecasts, collaborating across teams to enhance operational capabilities and model performance.

The Data Analyst will perform in-depth data analysis and support national-level customers, develop analysis techniques, improve reporting processes and collaborate with other analysts and developers.

Responsible for analyzing user data, developing analytical frameworks, collaborating with cross-functional teams, and delivering data-driven solutions.

The Quantitative Analytics Tech Lead will oversee the Credit Analytics & Reporting team, focusing on risk assessment and analytical reporting. Responsibilities include managing data research, conducting ad-hoc analyses, and ensuring documentation standards are followed while interpreting results related to credit risk management.

The Data Analyst 3 will support the setup of a new Enterprise Data Warehouse for the Commonwealth's behavioral health initiative. Responsibilities include collaborating with data architects, creating data dictionaries, and assisting in data analysis. Proficiency in SQL, Excel, and data visualization tools like Tableau and Power BI is necessary, along with strong analytical skills.

As a Target Digital Network Analyst, you will analyze collection and open-source data, maintain databases for targeting, identify intelligence gaps, and collaborate with teams to provide insights. You'll utilize various analytical techniques to evaluate data and document your findings.

The Customer Data Intelligence Analyst at Washington Gas will analyze data and create reports and dashboards to support Billing, Collections, Marketing, and Customer Service. The role involves collaborating with IT teams, business units, and senior leadership to improve operational efficiency through data insights and ensuring data integrity across various systems.

Seeking highly motivated Data Analysts to perform in-depth quantitative and qualitative analyses on problems of importance to U.S. national security.

The Senior Market Development Analyst will analyze large sets of energy market data to identify trends and provide insights for data-driven policy decisions. They will design metrics and solutions for market performance, apply data science for predictive analytics, and communicate findings through reports and visualizations. The role includes collaboration with stakeholders to solve complex market design problems and requires advanced analytical skills in energy markets.