Top Data Analyst Jobs

Supports IT and Accounting analytics by building Power BI dashboards, maintaining reports, cleaning and validating ERP, ATS, and HRIS data, identifying trends and anomalies, and assisting with financial, cost, budget, reconciliation, and reporting automation tasks. Collaborates with IT, Accounting, and Recruiting to translate business needs into analytics deliverables. The intern will complete a capstone project and present findings to leadership.

Analyzes investment data and operational processes, resolves data-quality issues, develops metrics and dashboards, documents workflows, and supports project coordination. The role partners with investment, technology, operations, and external stakeholders on process improvement, change management, risk mitigation, and operational transitions. It communicates findings, tracks project deliverables, performs root-cause analysis, and improves data quality and operational effectiveness.

Partners with business leaders to analyze performance metrics, funding, compliance, enrollment, and retention data. Builds scalable analytical models, datasets, reports, dashboards, and forecasting tools using Python and SQL. Translates complex business rules into structured calculations, validates analytical outputs, identifies trends and risks, and delivers actionable insights supporting strategic, financial, and operational decisions.

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.

Develops market data, risk analytics, P&L calculations, pricing models, and regulatory reporting solutions for Rates and FX derivatives. Partners with Macro trading desks and middle-office teams to analyze portfolio exposure, troubleshoot derivatives issues, support trading operations, and translate business requirements into technical solutions. The role requires expertise in swaps, swaptions, caps, floors, option Greeks, and cross-asset trading systems.

Own end-to-end analytics for a designated business area, including data pipeline development, SQL analysis in AWS Redshift, Tableau dashboards, automated reporting, data quality, and stakeholder communication. Translate complex business questions into actionable insights, develop subject-matter expertise, identify data gaps, and independently drive solutions while partnering with revenue, product, operations, engineering, and BaaS stakeholders.

Support marketing analytics by analyzing digital channel performance, building and maintaining KPI dashboards, ensuring data accuracy, and collaborating with cross-functional teams to turn insights into actionable recommendations.

Analyze and document raw healthcare data ingestion into the Bronze layer of a medallion data architecture. Responsibilities include data mapping, lineage documentation, quality monitoring, schema-drift detection, ingestion troubleshooting, and data-health dashboard development. The role collaborates with engineering and analytics teams to improve data accuracy, traceability, and operational excellence across large healthcare datasets.

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.

Evaluate enterprise data architectures, governance frameworks, integration patterns, ownership models, and data quality practices. Design target-state architectures supporting analytics and AI, define governance operating models, assess data flows, develop quality controls, and create strategic roadmaps and executive recommendations. Collaborate with business and technology stakeholders on data modernization, cloud migration, AI enablement, and enterprise data management initiatives.

Designs, develops, deploys, and supports enterprise business intelligence solutions using Power BI and related platforms. Builds semantic and dimensional models, dashboards, reports, and analytical products; applies advanced analytics; optimizes performance; and establishes reporting standards. Partners with stakeholders and data engineering teams to translate business questions into actionable insights. Responsibilities include testing, certification, modernization, troubleshooting, documentation, agile delivery, and technical guidance. Analyst IV responsibilities additionally include technical leadership, cross-functional project leadership, design reviews, and mentoring.

Leads data quality assessments, root-cause analysis, governance execution, control monitoring, and improvement initiatives across commercial banking processes. Partners with business, technology, and governance stakeholders to clarify data ownership, identify risks, prioritize issues, and deliver practical recommendations. Independently manages analytical workstreams, communicates findings, supports control effectiveness evaluations, and serves as a subject matter resource while guiding less experienced analysts.

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.

Transforms clinical, financial, and operational data into actionable insights. Manages Snowflake-based data structures, ETL workflows, dashboards, reporting, healthcare analytics, RPA automation, data governance, compliance, and regulatory submissions. Partners with IT, Finance, Operations, and Clinical teams to resolve data issues and support strategic decisions, grant reporting, audits, and leadership needs.

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.

Analyzes large datasets, marketing initiatives, and business performance to generate insights and support decision-making. Designs predictive models, segmentation, forecasting, dashboards, and reports. Executes analytical projects, presents findings, maintains documentation, and supports property marketing campaigns. Uses SQL, Python, R, SSIS, and business intelligence tools to extract, manipulate, analyze, and communicate data.

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.