Top Data & Analytics Jobs

The Sr. Data Analyst translates business requirements into IT solutions, builds data analytic systems, and ensures data quality while collaborating with cross-functional teams.

The role involves building and implementing data analytic solutions, collaborating with stakeholders, ensuring data quality, and recommending effective data solutions in the healthcare domain.

The Technology Analyst will develop Big Data applications leveraging Hadoop, Java, and Python. Responsibilities include project lifecycle participation, team collaboration, and client interfacing in a global delivery environment.

Seeking a Sr. Data Analyst to create data analytic solutions and support healthcare datasets. Required are skills in data mapping, quality assurance, and collaboration across teams.

Lead unstructured data governance by designing and implementing metadata, classification, retention, and access controls. Administer governance tools (Collibra), partner with data owners and cloud teams to operationalize metadata pipelines, enable AI-ready assets, drive compliance and stewardship, and deliver training and automation to improve discoverability and retention readiness.

As a Forward Deployed Data Analyst, you will configure and implement data systems for clients, ensuring their analytics are accurate and actionable. You'll work with teams to refine metrics and improve data processes, ensuring value from day one.

Partner with Product and Customer Success to build and maintain Snowflake-backed dbt models, dashboards, and KPIs. Ensure data quality and governed semantic layers, enable self-service analytics, support recurring reporting and executive reviews, and align analytics with Applied AI and automation workflows.

Lead pricing optimization modeling and analysis using operations research and statistical techniques. Build dashboards and KPIs, produce reports for senior leaders, identify trends, and mentor junior analysts to inform strategic business decisions.

The Issuer Services Data Governance Lead Analyst oversees data governance initiatives, implements data strategies, and manages project execution to enhance data quality and compliance. This role involves collaboration with various stakeholders to address data-related issues and support organizational data policies.

Design, build, and maintain BI dashboards and UIs to visualize structured and unstructured data. Perform data exploration, cleaning, analysis, and create modular, user-centric visualizations. Communicate insights to technical and non-technical stakeholders and support clients' decision-making. Support security clearance eligibility processes.

Lead and coordinate large-scale SAP S/4 HANA data migration and conversion activities for Order-to-Cash processes. Create conversion specs, value maps, data models, track milestones, manage risks, run cross-functional meetings, monitor issue resolution, support testing and hyper-care, and drive documentation, reporting, and continuous improvement.

The Business Analytics Associate analyzes marketing channel performance and client retention, presenting actionable insights to enhance company goals and KPIs.

The Data Quality Analyst will conduct data profiling, identify issues, and ensure data integrity within a development team, collaborating closely to prevent data-related delays and improve outcomes.

Collaborate with various teams to source data and conduct research for investment teams, manage relationships with providers, and support operations workflow.

The role involves data architecture, data analysis, governance, and quality management within SAP systems, requiring advanced technical and leadership skills.

The Data Quality Analyst will manage customer data quality by correcting errors, identifying trends, tracking issues, and assisting in user-acceptance testing, while training new team members.

The Sr Business Analyst will develop requirements for Master Data Management RFP, collaborate with technical and business teams, document data standards, and assist in implementation and training efforts.

As a Senior Data Analyst, you'll drive supply chain efficiency through data analytics, developing tools to optimize inventory, forecast demand, and support decision-making across operations.

The Senior Data Manager/Analyst supports data analysis and project designs for foreign assistance programs, ensuring data quality and developing reporting products.

Own and deliver high-impact retail data products by designing and running QA, investigating and resolving complex data quality issues, improving classification and attribution, collaborating with Insights and Engineering to automate and streamline pipelines, and communicating methodology and limitations to clients and stakeholders.

Lead core business analytics: build and maintain KPI dashboards, run statistical analyses and A/B tests, identify drivers of retention and revenue, support forecasting, partner with Product/Engineering to improve data quality, and use AI/scripting to automate analytics and surface insights for leadership.

Research, evaluate, and manage partnerships with data providers. Assess datasets for coverage and interoperability, support deal structuring, maintain partnership pipeline, and collaborate with product, engineering, and legal to integrate data into the platform.

Design, develop, QA, and maintain BI dashboards using Qlik to transform structured and unstructured data into actionable visualizations. Partner with clients to explore, clean, analyze data, build user-centric UI elements, and communicate insights to technical and non-technical stakeholders.

Support implementation and execution of enterprise data governance: identify critical data elements, assess data quality and controls, develop remediation and policy changes, partner with data stewards and cybersecurity, build metrics and reports, and lead small-to-medium projects and discovery sessions.

Design, program, and maintain research databases; clean and manipulate datasets using SAS or R; collaborate on REDCap design; prepare data sharing plans and datasets for repositories; generate queries, reports, interim analyses, and visualizations; manage Office of Research study databases and support investigators and biostatisticians.