Top Data & Analytics Jobs

The Business Data Analyst supports documentation, financial tasks, and produces various reports. Requires maintaining internal documentation and coordinating special services.

Manage the end-to-end data issue lifecycle for North America: intake, triage, root cause analysis, remediation planning and execution oversight. Produce IMR reporting and dashboards, maintain audit-ready records, engage stakeholders, and improve IMR processes and tooling to strengthen data quality and controls.

The Data Integration Senior Analyst is responsible for managing data integrations, ensuring data quality, troubleshooting issues, and supporting analytics and reporting across systems.

Lead HR-focused BI efforts: gather and prioritize requirements, model data and permissions, design reports and dashboards (Power BI), produce artifacts (use cases, process maps, data models), and collaborate with stakeholders to deliver reliable HR information products.

Conduct client-facing analysis of POS and retail sales data to produce strategic insights. Scope research, write SQL and Python scripts to extract and analyze large datasets, create executive-ready deliverables, and serve as a power user of Bolt to improve and evaluate AI-driven analytics. Partner cross-functionally and manage client expectations throughout projects.

The Senior Data Analyst will drive product insights through analyses, support A/B testing, and develop reporting to enhance product growth and user acquisition.

The role involves creating impactful HR technology research, analyzing data governance, engaging clients, and mentoring team members, focusing on AI's influence in HR.

The Senior Data Analyst will lead the design and implementation of machine learning models, analyze large datasets for business insights, and mentor junior team members, while collaborating with cross-functional teams.

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.

Lead RWD analysis strategy and execution: develop technical specifications and statistical programs, perform complex observational analyses (propensity scoring, ML), validate cohorts/variables, ensure QC, collaborate cross-functionally, and communicate results to non-technical stakeholders.

The Data Product Analyst designs and manages data products for insurance domains, ensuring they meet analytical and compliance standards while collaborating with cross-functional teams.

The Senior Data Analyst will analyze large datasets, develop models, create visualizations, and collaborate with teams to enhance media analytics and client outcomes.

The Data Driven Marketing Analyst analyzes data to provide insights for marketing campaigns using BI tools, statistical models, and collaborating with teams to improve decision-making.

The Senior Data Analyst will manage subscription billing analytics, optimize queries in ClickHouse, and create dashboards for stakeholders. Responsibilities include data pipeline maintenance and anomaly investigation.

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

Analyze digital behavior and trends, manage Adobe Analytics, develop dashboards, ensure data integrity, and translate data into insights for stakeholders.

The Senior Data Analyst (CX) will analyze customer support data, optimize processes using automation and AI tools, and present insights to improve customer experiences.

The Analyst will support data integration, reporting, and management for insurance business data, ensuring compliance and quality in processes.

This role involves enhancing data quality through analysis and reporting, collaborating with teams to modernize data infrastructure and drive business insights.

Support territory mapping for Outreach team, build analytical models for workforce planning, and partner with leadership for hiring decisions while using AI tools.

As a Data & Analytics Analyst, you'll collaborate with clients to create tailored solutions, implement prototypes, and share ideas to solve analytical challenges.

Support and improve the organization's data governance and GRC program by defining standards, documenting metadata and lineage, enforcing PII and retention policies, training stakeholders, monitoring data quality and compliance (CCPA), coordinating with security and engineering, conducting risk assessments and audits, automating processes with scripts, and managing incidents via ITSM systems.

Perform complex data extraction, cleaning, analysis, and visualization to produce actionable insights for student success. Collaborate with data engineering and cross-functional partners to build ETL/ELT pipelines, reports, forecasts, and data models. Ensure data quality, document requirements and models, communicate findings through storytelling, and lead small projects with autonomy while mentoring teammates.

Support enterprise data governance for unstructured content: implement policies, metadata management, classification, retention, security controls, Collibra administration, and enable AI‑ready data by collaborating with business, tech, and stewardship teams.

The Senior Data Analyst will lead complex data analysis projects, mentor junior analysts, develop dashboards, and provide insights to drive strategic decisions. Responsibilities include troubleshooting data issues and communicating findings effectively.