Top Data Analyst Jobs

Prepare financial reports, support master data management and integrity, conduct market research analysis, and participate in improving master data processes. Requires strong analytical, communication, organizational, and computer skills; willingness to relocate to the US and commit to at least one year as a consultant.

Support design and delivery of a predictive lifecycle management solution in Palantir Foundry. Perform exploratory data analysis, feature engineering, data quality assessment, and source analysis. Build data dictionaries and ERDs in Figma, document technical solutions, communicate insights to stakeholders, and participate in customer meetings.

Support healthcare and operational analytics by extracting, validating, and analyzing claims, pharmacy, lab, and operational data. Develop and maintain reports and dashboards using SQL, Excel, and BI tools, document workflows, meet regulatory reporting needs, and present insights and recommendations to stakeholders.

Design, implement, and mature enterprise data governance frameworks for customer data. Establish standards and processes for data quality, metadata/catalog management, lineage, stewardship, and privacy/consent. Partner cross-functionally to operationalize controls, drive adoption, document standards, manage governance backlog, and support platform enablement and remediation workflows.

Lead liaison between business and technology for Data Services, translating strategic objectives into data, analytics, and reporting initiatives. Drive requirements gathering, solution design, prioritization, testing, delivery coordination, and adoption while partnering with Data Engineers, Architects, Governance, and Finance/HR stakeholders to ensure measurable business value.

Lead stakeholder engagement and translate strategic objectives into data and analytics initiatives. Define requirements, business rules, solution scope, and acceptance criteria; coordinate delivery, testing, deployment, and change management; support data governance and ensure solutions deliver measurable business value for sustainability and landfill operations.

Analyze claims data using Python, SQL, dbt, PostgreSQL, Looker, and Excel; build ETLs, data models, reports, and visualizations; lead customer calls; provide technical recommendations; clarify requirements; and communicate precise insights while collaborating with engineering and operations teams.

The Data Analyst analyzes complex datasets, identifies trends and risks, validates business requirements, and collaborates with technical teams to support reporting and decision-making.

Analyze customer sales and behavioral data to impact decisions, develop reports, optimize campaigns, and enhance user experience in ecommerce.

As a Trainee Data Analyst, assist in data collection, cleaning, analysis, and support teams with reporting needs using SQL and visualization tools.

The Digital Marketing Data Analyst will perform data analysis, attribution modeling, user journey tracking, A/B testing, and generate insights from data for marketing strategies.

The Data Analyst will provide data analysis and business intelligence services, integrating data across various technologies and communicating with stakeholders to develop insights and solutions.

The Senior Digital Data Analyst will analyze digital data, create attribution models, segment audiences, and present findings to clients, leveraging multiple datasets.

As a Senior Marketing Data Analyst, you'll analyze revenue impacts from marketing, optimize growth strategies, evaluate channels, and establish scalable reporting systems using SQL and AI tools.

The Big Data Analyst will analyze complex data, communicate findings, work with teams, and solve problems related to BI and case management.

Audit and improve human and model-generated data outputs for accuracy, consistency, and policy compliance. Provide actionable feedback, clarify evolving guidelines, support annotators, coach new team members, monitor workflows and blockers, identify recurring issues and edge cases, participate in calibration discussions, and document findings to improve team performance and quality at scale.

Build and maintain trusted Finance data products, including data models, transformations, pipelines, semantic models, dashboards, and analytical tools. Translate FP&A requirements into scalable solutions, validate and reconcile outputs, resolve data quality issues, and document lineage and business rules. Use SQL and Python for automation and advanced analytics supporting forecasting, revenue, customer, portfolio, and operational analysis. Partner with shared data teams and stakeholders while enabling self-service reporting and executive decision support.

The Senior Data Analyst will manage data quality strategies, conduct complex analyses, document processes, and lead projects in the Municipal Bond Market.

Seeking a Sr. Data Analyst with 5+ years of experience in HIE data analysis and SQL to address healthcare data challenges and management.

The Data Privacy Compliance Analyst will support the development and implementation of data privacy programs, assist privacy operations, and ensure compliance with global privacy laws.

The Senior Data Analyst will analyze complex datasets, develop dashboards, perform customer experience analytics, and leverage statistical modeling to enhance operational performance and service delivery within ITSM environments.

Customer-facing data analyst working with IoT deployments to monitor real-time data streams, identify anomalies, perform root cause analysis, build dashboards, and provide actionable insights. Partner with product, engineering, and field teams to improve data quality, system performance, and deployment outcomes.

The Senior Data Analyst/Modeler will lead data mapping for a new enterprise data platform, assess data quality, and perform complex queries.

The Sr. Data Analyst will lead BI initiatives by collaborating with vendors, analyzing requirements, and implementing solutions while documenting key processes and designs.

The role involves programming and data review for real-world data analysis, supporting epidemiologists, and managing complex data sets using statistical programming languages and tools.