Top Data Analyst Jobs

Analyzes, cleans, engineers, and visualizes data to establish metrics, identify insights, develop hypotheses, and recommend strategies. Creates customer-ready reports and presentations, defines ETL requirements, and partners with cross-functional teams to support strategic decisions and measurable business performance.

Analyzes complex data to support business strategies, develops self-service data solutions, dashboards, metrics, and visualization tools, and manages data quality, metadata, lineage, security, and access governance. The role requires scripting, querying, data management, Snowflake development, business intelligence, and collaboration with technology and business teams.

Design, build, and maintain data solutions for Retail Bank. Mine varied data sources, develop BI dashboards and metrics, drive analysis for business insights, and enforce data quality, lineage, and governance working with tech teams and Snowflake/AWS platforms.

Analyze mobility customer experience data to define North Star metrics, evaluate product launches and growth bets, measure customer support and GenAI experiences, and deliver actionable recommendations. Build dashboards, reporting frameworks, data models, and automation using SQL and Python. Collaborate with Product, Operations, and Finance, communicate insights to senior leaders, and potentially lead junior analysts.

Performs operational data analysis, reporting, data mining, and decision-support activities across measurement, field operations, EDI processing, billing, and issue resolution. Builds and maintains small reporting applications, analyzes customer and revenue impacts, supports process improvements, and helps resolve operational challenges. Requires SQL, database, reporting, and Microsoft Office knowledge, with at least two years of analytical experience.

Analyze complex data, develop self-service data solutions, build business intelligence tools and dashboards, deliver strategic insights, and manage data quality, metadata, lineage, security, and access governance. The role requires scripting, querying, visualization, Snowflake development, and collaboration with business and technology teams.

Analyzes complex business data, validates and integrates datasets, and develops dashboards and reports to support business decisions. Applies statistical techniques and scripting to identify trends, correlations, and anomalies. Collaborates with stakeholders to translate business needs into analytical solutions, supports data governance and quality management, and presents actionable insights to improve strategy, product adoption, client engagement, and revenue growth.

Support analytics by cleaning, validating, and transforming data; build dashboards and KPI reports; perform trend, cohort, and A/B testing analyses; improve data pipelines and forecasting; present insights to cross-functional teams.

Analyze financial-crime data to detect unusual activity, validate results, and support reporting and investigations. Develop Tableau dashboards and SQL reports, resolve data-quality and system issues, automate manual processes, document business rules, and translate business requirements into technical solutions. Collaborate with management, business users, technical teams, database administrators, and vendors while providing responsive analytical support.

Analyzes enterprise data, develops SQL queries and Power BI dashboards, prototypes business intelligence solutions, and delivers actionable insights. Owns the BI enhancement backlog, prioritizes improvements, supports Agile ceremonies, validates data quality, and partners with business and technology stakeholders through requirements, development, testing, and implementation. Creates KPI definitions, job aids, user guides, and release communications to drive adoption and usability.

Analyzes payments and banking data to identify trends, improve products, and enhance operational efficiency. Builds dashboards, conducts deep-dive and experimental analyses, monitors customer behavior, and delivers actionable insights to stakeholders. Partners with product managers, engineers, and leadership to define success metrics, ensure data quality, support fraud response, and improve analytics processes.

Supports organizational decision-making by collecting, validating, analyzing, and reporting pharmacy, operational, clinical, and financial data. Builds dashboards and reports in InsightRx, performs data quality checks, supports research, compliance, audits, and accreditation activities, documents reporting processes, and provides basic user training. Collaborates with cross-functional teams to translate data into actionable insights.

Develop Power BI dashboards, reports, queries, and visualizations that support strategic supply chain decisions. Analyze business needs, perform ad hoc analysis, identify root causes, and deliver actionable insights. Collaborate with business, analytics, and technology teams to build and improve data products using cloud data environments, agile methodologies, and integrated data sources. Support data maturity, innovation, and junior team members.

Develops governed investment data products, pipelines, models, semantic layers, dashboards, and reporting solutions using cloud data platforms. Partners with business and technology teams on requirements, governance, data quality, testing, access controls, and production support. Requires strong SQL, Python, data modeling, Snowflake or Databricks, and BI experience, with preferred financial services knowledge. The role is hybrid in Columbus, Ohio, and does not offer employer-sponsored work authorization.

Analyze complex business, account growth, product usage, and market data to identify actionable insights. Build financial models, executive sales dashboards, interactive reports, and data visualizations for senior leadership. Collaborate with product management, sales, finance, customer success, and leadership teams. Support customer segmentation, product analysis, data governance, workflow improvements, and data extraction through complex queries.

Collects, integrates, analyzes, and validates data to support decision-making, quality improvement, regulatory compliance, forecasting, and business intelligence. Maintains databases and dashboards, troubleshoots data issues, develops performance metrics, prepares stakeholder reports, and manages multiple projects. The role also creates training materials, supports data literacy, mentors colleagues, and collaborates with internal teams, leadership, vendors, and external partners.

Collects, cleans, validates, and analyzes data to identify trends and business insights. Develops Power BI and Tableau dashboards, performs statistical modeling with R and SAS, creates Excel summaries, addresses data quality issues, and presents actionable recommendations to cross-functional stakeholders.

Analyze complex datasets, validate data quality, identify trends, and deliver actionable business insights. Develop reports, dashboards, KPIs, and scalable analytics solutions using SQL, Azure services, Excel, and visualization tools. Collaborate with business and technical teams on requirements, testing, issue resolution, stakeholder communication, and data-quality improvements. Track project risks and deliverables while supporting automation and AI-assisted analytics.

Collect, verify, and organize precinct-level election returns; summarize and visualize turnout and performance trends; produce reports for candidates and campaign teams; maintain data confidentiality. Training and support provided; volunteer role.

Advances enterprise data governance by maintaining metadata, glossaries, taxonomies, catalogs, lineage, and stewardship workflows. Supports data classification, quality checks, lineage validation, and governance policies while partnering with data product managers, business SMEs, and engineers. Drives adoption through training and playbooks, contributes to Agile delivery using Jira, and helps improve data discoverability, compliance, and trust across the organization.

Leads enterprise data governance initiatives by establishing data standards, definitions, metadata, ownership, lineage, classification, and access controls. Partners with data owners and stakeholders to improve data quality, resolve root causes, support governance compliance, and promote data literacy. Assesses data fitness, develops governance communications and training, and applies visualization and data strategy techniques to enable trusted analytics, responsible AI, and informed workforce decisions.

Develop and improve IP geolocation automation algorithms using large datasets and IP network topology. Query, extract, and transform data with SQL, R, Python, MongoDB, and BigQuery; provide insights that improve data quality; and collaborate with engineers, data scientists, and stakeholders to solve complex problems and lead data science initiatives.

Analyzes AML and KYC data, builds regulatory reporting dashboards, develops KPIs and KRIs, identifies compliance risks and trends, improves processes and reporting, and advises leadership and business units. The role manages complex datasets, supports AML program health analysis, collaborates across teams, and contributes to projects involving data quality, operational efficiency, and compliance risk management.

Provides data analytics consulting for enterprise clients using Dynatrace observability, digital experience monitoring, and business analytics data. Manages client relationships, performs ad hoc analysis, creates reports and dashboards, presents findings to technical and executive audiences, configures tools, trains users, and influences product improvements. The role translates complex performance and engagement data into strategies that improve digital experiences and business outcomes.

Support analytical projects across Gartner's BTI and Product teams: analyze large datasets, build dashboards and reports, apply ML/AI and LLM tools, assist data pipeline setup, collaborate with data engineering and IT, and communicate insights to stakeholders. High-performing interns may receive full-time offers.