Top Data & Analytics Jobs

The Growth & Development Analyst role involves deal origination, market research, financial analysis, and execution in data center development, focusing on financial modeling and strategic insights.

Manage and sustain enterprise master data across Infor LN and integrated systems. Perform data analysis, enforce governance standards, build dashboards and automation using AI-enabled tools, standardize intake workflows, support system implementations, and partner cross-functionally to improve data quality and synchronization.

Partner with business and engineering teams to define and deliver enterprise data products (dashboards, KPIs, semantic layers). Translate stakeholder needs into requirements, manage scrum priorities, design analytics prototypes, perform reporting and KPI monitoring, ensure data quality and governance, and drive adoption via user research, documentation, and change management.

Provide ad-hoc data and reporting support to Sales and internal teams using SQL, Databricks/Count, and spreadsheets. Clarify requirements, investigate discrepancies, resolve basic data issues, support routine data operations, and create reusable queries/reports and documentation to enable self-service.

Design, analyze, and document data products and technical specifications. Perform large-scale data profiling and SQL analysis, support data governance, partner with stakeholders to remediate issues, and help implement data quality, lineage, and ingestion standards.

Maintain and cleanse the client database, ensure data governance and quality, build and support client-facing reports and KPIs, extract client lists for activations, and generate insights to inform client acquisition, loyalty, and retention strategies while partnering with cross-functional teams.

Design and deploy AI-driven analytics and automation for Internal Audit: build Copilot-enabled solutions, automate SOX and operational testing, create reusable data models and dashboards, migrate SQL Server assets to Snowflake, partner with auditors to translate requirements into repeatable analytics and improve audit efficiency and coverage.

Produce and maintain reports and dashboards, deliver analytical solutions and ad hoc projects under team leader direction. Build domain knowledge, learn bank data and platforms (BIC, Tableau), ensure data compliance, and collaborate with stakeholders.

Lead analytics strategy for federal programs: perform statistical modeling, forecasting, and data mining; build dashboards and automated workflows; ensure NIST/FISMA compliance and data quality; present findings to government stakeholders; mentor junior analysts and manage analytics workstreams.

Lead analytics work partnering with Enterprise Network and Servicing Operations to analyze performance, improve reporting, mentor analysts, own metrics, run deep-dive analyses, and deliver executive-ready insights and dashboards to drive product and operational decisions.

Lead product analytics to inform product strategy and growth: run funnel, cohort, retention, segmentation, monetization, and experimentation analyses; define success metrics; build dashboards and reports; validate and maintain event tracking; unify data from Amplitude, ad platforms, payments and CRM; document metrics and tracking plans.

Collects, organizes, and validates telecommunications and technical data from multiple sources, inputs and reconciles records to meet quality standards, analyzes databases for consistency and patterns, performs data extraction and basic automation, generates reports, and mentors junior staff while adhering to security and ISO 9001:2015 procedures.

Designs, implements, and maintains master data management solutions; analyzes, cleanses, and enriches data; ensures data governance and integrity; troubleshoots MDM issues and provides recommendations to the Government.

Provide data analysis and BI support within a data warehouse team: design data structures, develop systems and interfaces, write SQL and Cognos reports/dashboards, validate and document data, and support customers through troubleshooting, requirements gathering, and problem resolution.

The Senior Data Analyst will evaluate gaming machine performance, develop reports and dashboards, and provide actionable insights through data analysis.

Partner with product teams to define success metrics, design and analyze A/B tests, build funnel and behavioral analyses, own event tracking specs, and translate results into product recommendations and documentation.

Hands-on business and delivery analyst who translates stakeholder needs into data integration solutions. Leads current/future-state and gap analysis, requirements, mapping, migration, testing, and delivery coordination. Partners with Operations, Finance, Compliance, and Purchasing to streamline workflows, promote data-driven decisions, and support adoption of analytics and cloud-based tools to improve operational outcomes.

Design, enhance, and sustain HR reporting, dashboards, and analytics products. Build scalable data pipelines, automate workflows, improve data quality and governance, and operationalize multi-source HR data (including Prism). Provide senior technical support, mentor analysts, and partner cross-functionally to deliver governed, actionable HR data solutions.

Analyze PB-scale trading, transactional, operational and customer data; build visualizations, ML models and experiments; translate findings into actionable recommendations for trading, operations, product and executives in a fast-paced environment.

Lead quantitative analyses of loan originations and portfolio performance to identify credit risks and improvement opportunities. Build multivariate/predictive models, conduct diagnostic and funnel analyses, measure costs/benefits, design monitoring and controls, present recommendations to VP-level stakeholders, and drive hands-on implementation using SQL, Python, Excel, AI tools, and financial modeling.

Serve as an Enterprise Data Management subject matter expert: coordinate EDM customer communications, monitor system update logs, participate in regression testing, define processes, collect metadata, produce documentation, and ensure deliverables meet standards.

Lead healthcare analytics work using claims and product data: calculate PMPM and utilization metrics, validate data refreshes, design data models and algorithms, build Looker dashboards, and document/train stakeholders. Serve as a healthcare data SME collaborating with clinical, operations, and finance teams.

Perform high-volume data entry and document classification for investment funds, file and process emails using a filing system, analyze vendor feeds, manually price instruments, establish fund mappings, validate data quality, and support ad-hoc data requests and lookup inquiries.

Senior Data Quality Analyst responsible for source-to-target testing, SQL-based data analysis, running Informatica workflows, validating ETL results, owning QA/test issues, and collaborating with technical teams to ensure data accuracy and integrity.

Lead data quality and reporting for complaints and servicing systems: cleanse and validate data, build reports and dashboards, perform advanced statistical analyses, automate data extraction, maintain databases, and collaborate with stakeholders to surface actionable insights and process improvements.