Top Data Analyst Jobs

The Monetization Analytics Manager will build data models and dashboards, analyze pricing metrics, support pricing strategies, and automate self-service tools for revenue optimization.

Seeking a skilled Data Analyst to uncover insights through data, support brands, and collaborate with teams for data-driven decisions. Responsibilities include data analysis, stakeholder presentations, tool development, mentoring, and project management.

The MDM Business Analyst will oversee master data governance, collaborate with stakeholders on requirements, drive process standardization, conduct data audits, and support system development activities.

The Sr. Data Quality Analyst will focus on data testing, analysis, and SQL skills, with expertise in Informatica and collaborative problem-solving.

The Sr. Data Analyst will lead BI initiatives by collaborating with vendors, analyzing requirements, and implementing solutions while documenting key processes and designs.

The Senior Data Analyst translates complex data into actionable information, collaborates with business units to meet operational needs, develops reports, and mentors the Analytics team, ensuring effective data governance.

The Senior Data Analyst will analyze TV ad effects, monitor modeling outputs, and create predictions while working collaboratively on high-impact projects.

The role involves improving the quality and accessibility of Liquidity Risk data, partnering with stakeholders, documenting data meanings, and supporting data quality management.

The Lead Data Analyst leads complex data analytics and statistical modeling efforts, translating business challenges into analytical frameworks to support strategic decision-making. Responsibilities include developing predictive models, maintaining data quality standards, providing mentorship, and collaborating with cross-functional teams.

Lead design, development, and maintenance of Power BI dashboards and self-service analytics. Translate stakeholder requirements into clear visualizations, collaborate with data engineering, write and optimize SQL and DAX, ensure data accuracy and performance, document models and assumptions, apply visualization best practices, and evolve dashboards using user feedback and AI tools.

The Lead Data Annotation Business Analyst will manage data annotation projects, define ontologies, collaborate with teams, and optimize processes for AI model training.

Lead end-to-end analytics projects, design scalable dashboards and measurement frameworks, perform deep-dive analyses and A/B test evaluation, mentor junior analysts, collaborate with engineers, and present insights to stakeholders to drive data-informed decisions.

Analyze blockchain data, creating efficient query solutions and fraud detection methodologies while ensuring data integrity and transforming customer data needs into actionable insights.

Lead global reporting, analysis, and data management for claims fraud and recovery. Deliver regular dashboards and reviews, identify fraud/recovery trends, ensure data quality and governance, support analytics strategy and model management, and collaborate with cross-functional teams to drive insights and strategic initiatives.

Partner with global teams to define requirements and KPIs, design and maintain advanced Tableau dashboards, and perform complex SQL-based data extraction. Ensure data governance, automate reporting with Python/Alteryx/SQL, integrate AI/ML outputs for forecasting and anomaly detection, and communicate insights to influence cross-functional stakeholders and executive leadership.

Provide Level 1 support and daily operations for critical data pipelines, including validation, cleaning, incident management, reporting, tooling, documentation, and permissions/entitlements support for finance trading systems.

Customer-facing data analyst working with IoT deployments to monitor real-time data streams, identify anomalies, perform root cause analysis, build dashboards, and provide actionable insights. Partner with product, engineering, and field teams to improve data quality, system performance, and deployment outcomes.

Lead complex analytic projects, translate ambiguous questions into rigorous analyses, collaborate with research/data science/business teams, use DBT/SQL/Python/GitHub to extract, transform, and analyze large datasets, support dashboards and reporting, recommend actions, and handle confidential data.

Lead development of BI solutions, dashboards, and automated financial reports to ensure data integrity and drive actionable insights. Partner with IT and finance teams to improve data collection, optimize analytics processes, and support business strategy and performance monitoring across a large, matrixed organization.

The Data Management Analyst supports data projects and synchronization across platforms, analyzes business processes, ensures data integrity, and manages data load processes. Responsibilities include creating queries, project coordination, data testing, and refining data stewardship practices.

Analyze and validate large benchmarking datasets, improve methodologies, support product enhancements, and engage directly with clients and sales to drive adoption and inform product strategy.

The Senior Data Analyst/Modeler will lead data mapping for a new enterprise data platform, assess data quality, and perform complex queries.

The role involves investigating streaming fraud, monitoring data for suspicious behavior, developing anti-fraud strategies, and collaborating across teams for documentation and reporting.

The Senior Data Analyst will manage data quality strategies, conduct complex analyses, document processes, and lead projects in the Municipal Bond Market.

Seeking a Sr. Data Analyst with 5+ years of experience in HIE data analysis and SQL to address healthcare data challenges and management.