Top Data & Analytics Jobs

Work with stakeholders to develop, validate, publish, and maintain logical and physical data models. Evaluate existing models/databases, manage metadata, document models, enforce naming standards, support data quality and governance, and collaborate with BAs, architects, developers and DBAs to meet delivery and quality objectives.

Design, validate, publish, and maintain logical (and some physical) data models. Collaborate with stakeholders, BAs, architects, developers, and DBAs to meet DW/BI objectives, manage metadata, enforce naming standards, support data governance and quality, document models, and validate business use cases.

Design, validate, publish, and maintain logical (and physical) data models. Collaborate with BAs, architects, developers and DBAs, manage metadata, enforce naming standards, support data governance and quality, and document models and processes to meet DW/BI project objectives.

The Data Management and Automation Analyst manages data repositories, conducts analytics, implements system enhancements, and leverages AI to streamline processes while ensuring compliance and data governance.

The Sr. Data Analyst will perform data analysis for a pharmacy project, handle data issues, support data management processes, and assist in ETL development. Strong experience in SQL and healthcare is required.

Perform data quality checks, develop analyses and financial models, implement test plans, audit data integrity, prepare reports and present insights to stakeholders. Support small-to-medium client projects and product implementations, and collaborate across business units to manage parts of project/product lifecycles.

The Senior Data Analyst will analyze complex datasets to provide insights, create visualizations, and support decision-making across multiple projects.

The Business System Specialist will manage LIMS master data, provide end-user support, ensure compliance, and assist in process development for lab data management.

Own end-to-end API integrations (ingest and export) for customer data into CoStar Debt Solutions: scoping, credentialing, mapping, reliability, monitoring, and customer support. Build production-grade REST/GraphQL/webhook pipelines, scripts for transform/validation, and evolve integrations into agent-callable typed contracts.

The role involves coordinating systems analysis and design projects, leading Agile workboards, and acting as a liaison between business units and technical teams to improve data systems through automation.

Lead advanced analytics and predictive modeling for readiness-based sparing and sustainment decisions supporting Navy and DoD programs. Translate business needs into analytical frameworks, build predictive/diagnostic models, ensure data governance and pipeline integrity, mentor junior analysts, document technical processes, and communicate findings to executive stakeholders.

Support a statewide Informatica MDM program by performing SQL-based data profiling, validation, testing, and reconciliation. Analyze matching and survivorship issues, document findings and remediation, gather business and technical requirements, support UAT/QA, and assist data governance and stewardship to improve cross-agency data quality and MDM operations.

Perform end-to-end data migrations for banks and credit unions: analyze donor systems, define requirements, map and transform data with SQL, validate conversions, reconcile results, resolve data issues, and build reusable automation and AI-assisted tools to improve migration speed and accuracy while supporting multiple client engagements.

Lead marketing measurement: own attribution, incrementality testing, and media mix modeling. Design and analyze experiments, build repeatable templates and self-serve analytics, translate results into budget and growth recommendations, ensure data integrity, and embed AI tools into analysis workflows to measure pipeline and revenue impact.

Lead advanced analytics and predictive modeling for readiness-based spares and sustainment decisions. Translate business problems into analytical frameworks, build predictive/diagnostic models, document data pipelines, mentor junior analysts, and collaborate with engineering and program stakeholders to support Navy and Department of War programs.

Lead investment data strategy and architecture by analyzing datasets and workflows, defining logical models, metadata standards, and governance. Partner with front office and technology teams to identify quality/lineage issues, design scalable data services, influence AI and analytics initiatives, and drive cross-functional delivery from concept to implementation.

Lead complex data mining, statistical and trend analyses; produce monthly contract reports; integrate operations research methods for managers; prepare training materials; perform quality control; transform structured and unstructured data into actionable analytic products and recommendations for DoD operational decision makers.

The QlikView BI Analyst develops business analytics solutions and visualizations, driving innovation and supporting business processes through data insights.

Perform data collection, cleaning, analysis, and reporting to generate actionable insights. Build dashboards and visualizations, collaborate with stakeholders, and support data-driven decision making.

Senior Data and Reporting Analyst responsible for data fulfillment (70%), project management (10%), and subject matter expertise (20%). Prepares and delivers reports, ensures data quality, supports projects, and serves as an SME. Bachelor's degree preferred.

Senior Business Analyst in wealth management focused on data governance: define Key Data Elements, business rules, and data quality controls; profile and analyze data; validate lineage; translate business requirements into technical specs; lead UAT and testing; manage data quality monitoring and remediation; build cross-functional stakeholder relationships and advocate data-as-an-asset.

Lead data quality initiatives across banking lines of business. Own data analysis, remediation, stewardship, and reporting. Resolve complex data issues, manage processes, mentor junior staff, and present status to stakeholders while ensuring regulatory compliance and risk-aware decisions.

Lead and own data quality activities including analysis, remediation, and program implementation. Resolve complex data issues, manage processes and reports, supervise junior staff, present status to stakeholders, and ensure compliance with policies and controls in banking data domains.

The Sr Data Analyst Consultant will focus on data analysis related to data warehousing and ETL processes, requiring prior BA and QA experience, as well as knowledge of billing systems and Time Warner Cable.

As a Sector Analyst, you will analyze alternative data, produce research insights, and collaborate with investment professionals to drive informed decisions.