Top Data Analyst Jobs

Perform accurate data entry, maintenance, validation, and reconciliation of agent and consumer records in IntegrityCONNECT and other systems. Monitor data quality, generate basic reports, support contracting processing as backup, assist onboarding/offboarding, document standards and procedures, collaborate with internal teams to resolve discrepancies, and ensure compliance with CMS and company policies.

The Business Analytics Associate analyzes marketing channel performance and client retention, presenting actionable insights to enhance company goals and KPIs.

The Data Management Analyst analyzes and reports on outcome data to support decision-making, grant reporting, and program evaluation, utilizing systems like SIMS and WellSky.

Maintain and evolve GMO's security master and portfolio data platforms (NeoXam DataHub, Aladdin, Eagle PACE). Analyze large datasets using Python, SQL, and Excel to identify data quality issues, define business requirements, support conversions/migrations, implement controls/automation, and collaborate with stakeholders to modernize data validation and onboarding processes.

The Sr Business Analyst will develop requirements for Master Data Management RFP, collaborate with technical and business teams, document data standards, and assist in implementation and training efforts.

Manage and validate investment manager data, liaise with external managers and internal teams, perform calculations (TWR, IRR, Modified Dietz), resolve data issues, oversee outsourced data entry, create documentation and training, and drive process improvements using Excel and internal tools.

The Data Quality Analyst will manage customer data quality by correcting errors, identifying trends, tracking issues, and assisting in user-acceptance testing, while training new team members.

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.

Lead operational reliability and availability of hybrid data platforms (cloud and on-prem). Run incident response and root-cause analysis, build monitoring/observability and IaC automation, govern migrations/releases, optimize pipelines and storage for performance and cost, implement DR/BC plans, enforce security/compliance and FinOps, and mentor analysts to advance data reliability and operational excellence.

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

Lead unstructured data governance by designing and implementing metadata, classification, retention, and access controls. Administer governance tools (Collibra), partner with data owners and cloud teams to operationalize metadata pipelines, enable AI-ready assets, drive compliance and stewardship, and deliver training and automation to improve discoverability and retention readiness.

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.