Top Senior Data & Analytics Jobs

Design, develop, and maintain enterprise data pipelines, ETL/ELT workflows, and data management processes in Markit EDM. Integrate market, reference, and transactional data from vendors and APIs, implement data quality checks and reconciliations, support reporting and downstream integrations, troubleshoot production issues, and mentor junior engineers within an agile squad-based team.

Lead research strategy for Beauty, Style, and Entertainment verticals by analyzing large first-party datasets, synthesizing insights, advising marketing/editorial/sales, supporting RFPs and ad hoc requests, designing quantitative consumer research, and presenting findings to technical and non-technical stakeholders.

Lead design and implementation of digital analytics tracking across web and mobile, create tracking specs and governance, perform QA and data validation, troubleshoot tracking/data discrepancies, maintain tag manager governance, and collaborate with product, marketing, and engineering to align clickstream data with business KPIs.

The Lead Data Analyst (Network) drives data-driven initiatives, dissects datasets, and provides actionable insights to enhance business performance and network efficiency.

Lead and grow a Business Intelligence team, partner with senior leaders to prioritize analytical initiatives, ensure analytic output quality, drive BI operating model evolution, adopt modern BI tooling and self-service, and embed AI-assisted methods to improve decision-making.

Lead and build Coupa's post-sale customer intelligence function: integrate structured and unstructured data, create diagnostic and predictive analytics for churn/expansion/adoption, define AI value measurement, and grow a team to deliver executive-level insights.

Design and deliver enterprise-scale data models and analytics-ready datasets in Snowflake; build reliable ELT/ETL pipelines (batch and near-real-time); enforce data quality, observability, and secure handling of PII; optimize performance and publish curated data to downstream systems while collaborating with product, operations, and engineering teams.

Lead analytics for branch network optimization, new branch and ATM strategy by integrating internal and external data, producing actionable insights, presenting to senior leaders, and partnering cross-functionally to champion analytics best practices.

Lead the client learning agenda to produce actionable client insights (NPS, trigger-based tracking, dashboards, benchmarking). Design and run research and statistical analyses, manage VoC/NPS programs and related projects, partner across marketing/product/digital to drive experience improvements, and build the insight capability including data integration and vendor/budget oversight.

Lead design and rollout of a fit-for-purpose data governance program: manage data lifecycle, implement governance frameworks and tools, drive data catalogs/lineage, upskill stewards, define KPIs, and partner cross-functionally to improve data quality, compliance, and usability.