Top Data & Analytics Jobs

The Senior Data Analyst will lead complex data analysis projects, mentor junior analysts, develop dashboards, and provide insights to drive strategic decisions. Responsibilities include troubleshooting data issues and communicating findings effectively.

As a Senior Data Analyst, you'll drive supply chain efficiency through data analytics, developing tools to optimize inventory, forecast demand, and support decision-making across operations.

Support and improve the organization's data governance and GRC program by defining standards, documenting metadata and lineage, enforcing PII and retention policies, training stakeholders, monitoring data quality and compliance (CCPA), coordinating with security and engineering, conducting risk assessments and audits, automating processes with scripts, and managing incidents via ITSM systems.

The Sr. Data Analyst translates business requirements into IT solutions, builds data analytic systems, and ensures data quality while collaborating with cross-functional teams.

The role involves building and implementing data analytic solutions, collaborating with stakeholders, ensuring data quality, and recommending effective data solutions in the healthcare domain.

The Technology Analyst will develop Big Data applications leveraging Hadoop, Java, and Python. Responsibilities include project lifecycle participation, team collaboration, and client interfacing in a global delivery environment.

Seeking a Sr. Data Analyst to create data analytic solutions and support healthcare datasets. Required are skills in data mapping, quality assurance, and collaboration across teams.

Support territory mapping for Outreach team, build analytical models for workforce planning, and partner with leadership for hiring decisions while using AI tools.

The Senior Analyst in Risk Management will support data governance by ensuring data accuracy and consistency and aiding investment committee processes. Responsibilities include coordinating timelines, analyzing data, and maintaining governance artifacts.

As a Data & Analytics Analyst, you'll collaborate with clients to create tailored solutions, implement prototypes, and share ideas to solve analytical challenges.

Define and improve data quality processes, analyze data issues, collaborate with stakeholders to document requirements, monitor data quality metrics, and support remediation efforts to ensure accurate, reliable data.

Perform quantitative policy analysis across issues like housing, mental health, criminal justice, transit, and education; build and maintain datasets and analytical workflows; create visualizations and dashboards; translate findings into accessible insights for reports and presentations; coordinate with policy staff, partner bureaus, and civic tech communities.

Support evaluation and reporting for HIV care and treatment programs: develop and maintain reports, clean and integrate data, run analyses (primarily SAS), produce presentations/publications, assist with data systems and user support, and participate in public health emergency response.

Analyze customer and caregiver data to identify workflow improvements, build dashboards and visualizations, support Customer Success with QBRs and presentations, translate findings into actionable recommendations, and create scalable data processes while advising Product and Engineering.

Serve as an analytics partner to business units to define problems, scope projects, perform in-depth analysis, and deliver actionable insights. Lead technical execution with data engineers/scientists, build dashboards in Looker, apply statistical methods and A/B testing, and drive data literacy and process improvements across the company.

Lead governance, standardization, and quality of enterprise location master data. Analyze data flows, perform root cause analysis, define KPIs, drive data quality initiatives, document processes, and support stakeholder training to improve reporting and operational decision-making.

Own and improve deposit data quality across DDA, savings, money market, and CD products. Design and run first-line controls, identify and remediate root causes, support regulatory reporting and exams, maintain governance documentation and KPIs, and partner with operations, technology, and product teams to implement durable fixes and scale controls.

Partner with teams to design reporting, automation, and AI-enabled solutions. Build Power BI dashboards and data models, prepare and validate data with Excel/SQL/Power Query, create low-code workflows (Power Automate), maintain SharePoint/Microsoft 365 solutions, and promote responsible use of AI to streamline processes and improve decision-making.

Lead delivery and scaling of commercial data governance: assess and triage data quality issues, operationalize governance standards, oversee controls and data confidence, lead complex workstreams, advise stakeholders on scalable solutions, and mentor analysts to standardize practices.

Customer-facing data lead responsible for monitoring and improving IoT data quality and system performance. Analyze real-time streams, identify anomalies, root-cause data issues, build dashboards and visualizations, translate insights for customers and engineers, and collaborate with product and field teams to drive resolution and deployment improvements.

Serve as the actuarial-focused business analyst and product owner in the Global Data Office. Translate actuarial requirements into data engineering specs, own roadmaps for actuarial data and tools, manage product backlog and agile ceremonies, and ensure data governance, quality, lineage, and stakeholder alignment.

Lead data governance for a major data platform project: define and enforce governance artifacts (access, metadata, quality, ownership), align SLAs and operational readiness, manage change and issues, enable stakeholders through training, and advise on report governance and compliance.

Work on web and mobile analytics for Chase, ensuring data collection integrity, defining feature measurement specs, documenting standards, resolving tagging defects, and collaborating with business and technical teams to improve digital customer experiences.

Define, design, and implement data quality management for Customer MDM. Analyze and integrate MDM processes with Sales, Marketing, Support, and Finance. Use Informatica MDM/IDQ, SQL, and Excel to cleanse, standardize, match, merge, and manage reference data.

Extract, clean, and analyze data from multiple sources, maintain ETL pipelines and data quality, build dashboards and reports, and partner with IT and business teams to deliver actionable insights.