Top Data Analyst Jobs

The Sr. Manager Data Analyst - Retail Bank, Reporting and Innovation at Capital One will lead a team and drive analytical work in partnership with Risk Office and Bank leaders. Responsibilities include refining analytical tools validation framework, planning and executing projects, assessing tool methodologies and risks, researching best practices, and mentoring junior staff. Ideal candidate has strong problem-solving, communication, and leadership skills.

The Principal Data Analyst at Capital One will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions for the External Affairs group. Responsibilities include working on data infrastructure, enabling real-time insights, and driving business intelligence and data management initiatives.

As a Principal Data Analyst in External Affairs at Capital One, you'll innovate, build, and maintain data solutions to tackle business problems. You'll analyze business needs and develop tools for data insights and visualization while ensuring data quality and security. Collaborate with tech teams and assist in reimagining data infrastructure for better decision-making.

The Data Analyst Manager will leverage analytical skills to drive strategy, mentor junior analysts, and improve data processes while collaborating across business units. Responsibilities include mining and analyzing vast amounts of data, implementing improvements, and consulting on data storage systems, all in a fast-paced environment.

The Manager Data Analyst will drive strategy using analytical skills, build and validate models, manage large data sets, and mentor a team of junior analysts. Responsibilities include consulting on new data systems, improving operational efficiencies, and performing data evaluations to enhance customer experience in the Consumer Bank sector.

At Capital One, data is at the center of everything we do. The Principal Data Analyst will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems. Responsibilities include innovation, business intelligence, and data management. Ideal candidates will have a degree in a STEM discipline, scripting experience in Python, R, Spark, and SQL, and experience with data in various forms. Basic qualifications include at least 5 years of experience in data analytics and proficiency in scripting languages, business intelligence tools, and data analysis.

As a Principal Data Analyst at Capital One, you will innovate and manage data solutions, perform business intelligence analysis, and ensure data quality principles are followed while collaborating with Tech teams and translating business needs into actionable insights.

The Senior Sales Data Analyst at CarGurus will empower Sales & Service teams through data-driven insights. Responsibilities include defining and executing a reporting roadmap, providing sales performance analysis, creating actionable reports and dashboards, and improving CRM tracking. The role also involves collaboration with stakeholders and data governance.

As a Senior Associate Data Analyst, you will analyze complex data sets, create dashboards and reports, automate data processes, and collaborate with various teams to deliver actionable insights for workforce planning. You will use data wrangling skills to anticipate hiring needs and support stakeholder decision-making.

The Workforce Planning Data Analyst - Sr. Associate will create data-driven experiences, manage data, develop dashboards, and provide analytical solutions to enhance the employee journey. Responsibilities include automating data processes, collaborating with multiple teams, leading projects, and mentoring peers.

As a Lead Business Data Analyst, you will develop a vision and roadmap for data-driven practices, facilitate collaboration across the enterprise, analyze data processes for improvement, conduct in-depth analyses, provide actionable insights, and promote a data-driven culture. You will also guide senior leadership in leveraging data for decision-making.

The Data Analyst will analyze and interpret large datasets to influence decision making, create KPIs, and develop Tableau dashboards for improved operational performance. This role involves collaboration with operations leaders to identify efficiencies and present findings clearly to stakeholders.

As a Data Analyst, you will support patient experience teams by conducting analyses, measuring product performance, and building business intelligence solutions. You will leverage data to inform strategies and guide decision-making across various cross-functional teams, while also communicating insights and recommendations to stakeholders.

As a Product Data Analyst for Fraud, you will analyze fraud data to help implement product strategies and improve customer experiences. You'll design experiments, build metrics for fraud system performance, and develop tools for Fraud Specialists. This position focuses on using data science techniques to mitigate fraud risk while enhancing product usability.

As a Data Analyst II at MobilityWare, you will enhance and manage marketing data infrastructure, provide analytical support, give data-driven recommendations for user acquisition strategies, and assist in advanced modeling and analysis. Your role involves collaborating with various teams and third-party data providers to deliver actionable insights.

The Marketing and Inside Sales Data Analyst will support data analysis and reporting needs within the marketing and inside sales department, focusing on campaign optimization and assisting finance with performance results. Responsibilities include performing ad hoc analyses, integrating new acquisitions, producing datasets and reports, and collaborating across functions.

The Senior Technical Data Analyst will lead deep data analysis to identify trends and business opportunities, mentor junior analysts, develop data-driven solutions, and ensure data quality. Collaborating with cross-functional teams, the analyst will enhance GHX's data and analytics solutions, applying expertise in AI and machine learning when necessary.