Top Data & Analytics Jobs

Support BI delivery by translating stakeholder needs into reports, building Power BI dashboards, creating DAX measures, validating data with engineers, identifying quality issues, and participating in Scrum while learning data modeling and BI best practices.

Analyzes and validates data from multiple sources to support finance, executive, and operational decision-making. Builds and optimizes reporting workflows, dashboards, KPIs, and business intelligence solutions using SQL, visualization tools, and statistical analysis. Cleans data, identifies trends, performs ad hoc analysis, and communicates insights to technical and non-technical stakeholders. Partners with leadership and cross-functional teams to improve reporting, operational excellence, and strategic planning.

Paid data analyst intern to collect, clean, and analyze e-commerce and marketing datasets, build dashboards, generate customer and performance insights, support market research, and collaborate with marketing, product, and sales teams to drive data-informed decisions.

Owns global governance, tracking, and visibility of MAKE performance metrics and KPIs across regions and sites. The role identifies performance gaps, supports improvement planning and leadership reviews, and ensures measurement aligns with KOE standards. It also serves as business owner for KOE digital tools, defining requirements and partnering with SmartOPS and technology teams to deliver effective digital solutions.

Lead People Insights analytics across EMEA and APAC by developing predictive models for attrition, headcount, and talent forecasting. Partner with HR and business leaders to translate workforce challenges into analytical projects, communicate findings to nontechnical stakeholders, improve People processes, and maintain data integrity and regulatory compliance. The role also involves workforce data extraction, validation, analytics pipeline improvement, and exploring AI applications for HR analytics.

Designs and governs PANTHERx’s semantic layer on Databricks, including Unity Catalog metric views, Gold-layer tables, promotion logic, and reusable data products. Establishes canonical, versioned business metrics for BI, analytics, partner feeds, and AI inputs. Responsibilities include data modeling, migration, validation, observability, documentation, governance, stakeholder collaboration, and mentoring analytics engineers. The role requires advanced SQL, Python, and PySpark skills, strong Databricks expertise, and experience operating across analytics engineering and data engineering.

Leads the Analytics Engineering function, owning Databricks semantic layers, Unity Catalog metric views, Gold-layer data marts, Silver-to-Gold promotion logic, and reusable data products. Establishes governance, documentation, architecture, and quality standards while partnering with Data Engineering, BI, Governance, Informatics, and QA. Builds and develops the analytics engineering team, ensuring consistent business metrics across dashboards, partner feeds, internal analytics, and AI model inputs.

Builds, operates, and owns enterprise data warehouse pipelines and models on Databricks. Develops Delta Lake batch and streaming pipelines across Bronze, Silver, and Gold layers; implements data quality, reconciliation, observability, governance, and performance improvements. The role owns assigned data domains, supports event-driven ingestion, documents architecture and runbooks, responds to incidents, collaborates with QA and governance teams, and mentors data engineers.

Develop, optimize, and support SAS ETL processes and Oracle database solutions. Translate business requirements into technical designs, perform data validation and troubleshooting, tune performance, and collaborate with cross-functional teams to deliver quality data. Schedule and monitor ETL jobs using Control-M while applying data warehousing and ETL best practices.

The role involves applying AI and quantitative modeling to enhance capital market solutions, analyzing trends, and collaborating globally for strategic insights.

Leads an analyst team delivering data-driven insights for marketing, loyalty, digital, customer, and commercial strategies. Oversees reporting, statistical analysis, web analytics, data visualization, and complex business problem-solving. Partners with data engineering, product, strategy, and customer teams to improve data quality, prioritize projects, communicate findings, and influence senior-level decisions. Recruits, mentors, develops, and retains talent while fostering an inclusive, high-performing team.

Lead the Ads Signals & Measurement data engineering team across conversion and attribution, measurement foundations, audience onboarding, and identity. Set cross-organizational technical direction, resolve scalable data architecture decisions, mentor engineers, and partner on platform-wide initiatives. The role requires expertise in modern data stacks, advertising technology data flows, privacy and governance, distributed systems, and emerging AI technologies.