Top Data & Analytics Jobs

Develops and maintains Power BI dashboards and data models, defines KPIs with stakeholders, validates data accuracy, and collaborates with Data Engineering on optimized analytical models. The role documents data lineage and reporting assumptions, supports self-service BI through communications and training, and automates manual reporting processes. It requires SQL, Power BI, DAX, Power Query, data modeling, and data warehouse knowledge, plus strong communication and cross-functional collaboration skills.

Leads workforce analytics and HR data initiatives, transforming employee, operational, and organizational data into executive insights. Develops dashboards, reporting platforms, data models, automated processes, metrics, and predictive analyses using Tableau, Power BI, SQL, and Excel. Ensures data governance, validation, integrity, and consistent reporting. Advises HR leadership, leads cross-functional analytics projects, documents methodologies, mentors colleagues, and supports data literacy while maintaining confidentiality of sensitive workforce information.

Partners with institutional stakeholders to define analytical needs, conduct data analysis, identify trends and risks, and translate findings into actionable insights. Builds and maintains Tableau dashboards, reporting products, data assets, transformation logic, and analytics infrastructure. Ensures data quality, consistency, documentation, and reliable business metrics. Provides guidance on reporting and analytical practices, supports dashboard development, and may supervise or mentor analytics staff.

Support Finance and Central Operations by building dashboards, reporting, automated data pipelines, reconciliations, controls, and analytics. Analyze revenue, expenses, margins, cash flows, payment volumes, disputes, exceptions, and processing performance. Partner with Finance and Payment Operations to investigate discrepancies, automate workflows, improve data quality, and translate business questions into reliable models and actionable insights.

Performs complex data analysis, reporting, dashboard development, visualization, data validation, and statistical interpretation for healthcare association stakeholders. Queries and structures data for Tableau, recommends Snowflake enhancements, researches healthcare trends, and supports data collection and integrity processes. The role also trains users, provides technical support, reviews projects, advises analysts, communicates insights, and maintains dashboard systems.

Develops Tableau dashboards, reports, and data tools for Corporate Accounts. Designs data governance operating models, translates stakeholder needs into visualizations, and supports AI and analytics roadmaps. Partners with data product managers and IT to define requirements, resolve data inconsistencies, prioritize defects, and improve business processes. Provides training, communicates insights and project status, and delivers actionable analysis to sales, marketing, leadership, and end users.

The Senior Data Analyst will provide analytical support for military assistance programs, ensuring data integrity, visualizations, and trends analysis while collaborating closely with clients.

Serves as the liaison between Reporting and Analytics and Finance stakeholders, managing requests, priorities, workflows, and reporting visibility. Configures ticketing tools, coordinates with Data Engineering and Finance, analyzes request metrics, and uses Tableau, SQL, BigQuery, OBIEE/OAS, data warehousing, and BI concepts to understand requirements and support ad hoc queries.

Analyze clinical data completeness, reliability, and effectiveness across healthcare facilities, vendors, interoperability networks, and integration pathways. Reconcile claims with clinical records, identify missingness and latency, report ADT coverage, evaluate data technologies, recommend vendor configurations, and prioritize facilities for direct acquisition. Partner with product, engineering, and clinical teams to improve scalable, trustworthy data pipelines and support TEFCA and QHIN strategy.

Supports financial systems technology by managing data frameworks, lineage, mappings, metadata, business rules, data catalogs, and quality standards. Partners with Finance, Technology, vendors, and project teams on implementations, integrations, migrations, modernization, and reporting changes. Develops testing and reconciliation strategies, performs QA and validation, analyzes defects, verifies fixes, and facilitates stakeholder workshops to resolve data inconsistencies and align technical and business requirements.

Own product analytics for the Accounts Payable product, setting the analytics agenda, defining metrics and OKRs, identifying product opportunities, and influencing roadmap decisions. Responsibilities include experimentation, causal inference, executive reporting, production-grade dbt models, data quality validation, documentation, and AI-assisted workflow automation. The role partners closely with Product, Engineering, and AP leadership and requires confidently presenting insights to senior stakeholders.

Provides business intelligence and data analytics support for SOCOM government customers. Responsibilities include gathering requirements, extracting and cleansing data, developing Qlik Sense dashboards, designing data models, writing SQL and Qlik load scripts, documenting governance processes, improving workflows, and training end users. The role supports financial and programmatic data across acquisition, finance, logistics, personnel, and contracting systems.

Leads ERP data migration and master data governance for an IFS Cloud implementation. Responsibilities include extracting, profiling, cleansing, mapping, transforming, loading, and reconciling manufacturing, finance, supply chain, and transactional data. Builds Microsoft Fabric pipelines and Power BI models, establishes data quality standards, manages cutover readiness, supports integrations, and coaches business data owners. Requires hands-on ERP implementation experience, advanced SQL, and strong data engineering and governance capabilities.

Supports enterprise data catalog development by profiling datasets, documenting definitions, and labeling data. Engineers and tests features improving AI and machine-learning model accuracy across business functions, and designs prompts for AI agents while evaluating response quality and failure cases.

Analyze and improve structured and unstructured financial data pipelines using Python, SQL, statistical methods, machine learning, and LLMs. Responsibilities include data cleansing, validation, anomaly detection, reconciliation, dataset onboarding, API integration, model evaluation, workflow monitoring, documentation, and root-cause investigation. The role also involves explaining technical findings, managing assigned datasets, and supporting reliable production data processes in a quantitative trading environment.

Designs, develops, and maintains Tableau dashboards, scorecards, and reporting solutions for compliance risk monitoring, control testing, regulatory reporting, and executive decision-making. Analyzes complex datasets, builds data models, validates data quality, connects multiple data sources, automates recurring reports, and supports audits and regulatory examinations. Collaborates with risk, audit, technology, and business teams while developing knowledge of banking products, source systems, regulations, and compliance frameworks.

Analyzes business data to identify trends, anomalies, and opportunities; fulfills reporting requests; maintains and builds Tableau dashboards; writes SQL queries; uses Excel and AI tools for analysis; validates data quality; and communicates actionable insights to stakeholders. The role also documents reporting processes, manages competing priorities, and partners with teams to translate business questions into dashboards and analyses.

Analyze and integrate client and acquisition data, develop analytical methodologies, maintain databases, create reports and technical deliverables, conduct research and reviews, troubleshoot data issues, and provide recommendations. The role also supports project objectives, strategic direction, system testing and implementation, and client relationship management.

Analyzes business and operational data to create dashboards, reports, forecasts, and actionable recommendations. Partners with sales, operations, shippers, carriers, and internal stakeholders to address business needs, automate processes, improve performance, and support revenue decisions. Maintains data sources, leads ad hoc analysis, manages initiatives and deadlines, escalates issues, and identifies process improvements.

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.

Supports the Product Innovation Team by modifying and optimizing SQL queries, visualizing data with BI tools, identifying insights, and analyzing enhancements. Participates in coding, testing, documentation, and discussions while providing customer service and managing multiple tasks. The internship requires at least 30 hours per week and emphasizes advanced Excel and visualization skills, plus familiarity with Python and SQL.

Manages enterprise master data creation and change requests across global organizations. Creates and maintains customer, vendor, material, grade, and service master data in SAP, performs data loads and validation, resolves defects, coordinates with cross-functional teams, and ensures data accuracy, governance, SOX, ITAR, audit, and service-level compliance.

Develops and maintains compliance reports, dashboards, KRIs, KPIs, and metric-level analyses to monitor consumer compliance risk. Sources, transforms, validates, and governs data supporting compliance testing, complaints, fair lending, CRA, UDAAP, regulatory change, risk assessments, and issue management. Collaborates with IT, business lines, vendors, audit, and risk teams to improve data integrity, reporting processes, automation, and visualization. Provides technical guidance, identifies trends and anomalies, and recommends compliance and technology enhancements.

The Data Analyst will prepare performance reports, apply AI and ML techniques to data, and collaborate with teams to deliver insights for business success.

Develops and maintains dashboards, reports, and visualizations; analyzes multi-source data to identify trends and actionable insights; translates stakeholder needs into analytical solutions; supports recurring and ad hoc reporting; presents findings to technical and non-technical audiences; and collaborates with federal client stakeholders to improve analytics workflows and decision support.