Top Senior Data & Analytics Jobs

Owns enterprise-level analysis of client sentiment, health, retention, churn, and journey data. Develops measurement frameworks, health scores, executive dashboards, root-cause analyses, and leading indicators tied to revenue. Synthesizes qualitative and quantitative feedback, identifies systemic experience risks, supports lifecycle improvement initiatives, and presents data-backed recommendations to senior leaders and cross-functional teams.

Own paid social measurement and analytics across brand, consideration, and performance campaigns. Execute Conversion Lift and Brand Lift Studies, design geo-randomized experiments with data science, build KPI dashboards, evaluate creative and audience performance, and recommend budget and strategy changes. The role requires advanced SQL and Python or R, causal inference expertise, scalable reporting, and the ability to communicate insights to senior marketing leaders.

Leads software and analytics engineering teams responsible for enterprise reporting, dashboards, and insights. Develops BI and cloud modernization strategies, establishes analytics architecture and governance, improves automation, observability, reliability, and visualization standards, and manages reporting delivery alongside transformation initiatives. Recruits and develops talent, partners with business leaders, and drives scalable, secure, and innovative intelligence platforms across the organization.

Design, build, deploy, and operationalize scalable data engineering solutions for customers. Responsibilities include developing pipelines, transforming and cleansing data, analyzing sources, implementing governance, security, and quality practices, testing data movement and transformation code, resolving defects and incidents, and advising customers on technical decisions. The role also supports AI, machine learning, business intelligence, and data product adoption while collaborating across teams and educating end users.

Design and develop scalable data architectures, pipelines, and dashboards. Perform data wrangling and analysis to generate business insights. Mentor team members, share knowledge, and assist management with project scoping, estimation, and planning. Drive adoption of improved data solutions and contribute to data product and architecture innovation.

Build, migrate, and optimize analytics solutions using Power BI and Microsoft Fabric. Develop data pipelines, semantic models, dashboards, and automated refresh and deployment processes. Partner with engineers, analysts, and stakeholders to gather requirements and deliver governed, secure, high-performing reporting solutions. Maintain workspace and tenant administration, troubleshoot issues, and modernize existing Power BI assets using lakehouse, medallion, star schema, and dimensional modeling practices.

Drive mobile app growth through ad-hoc SQL analysis, dashboards, and BI tools; partner with CEO/CFO to provide insights, streamline ETL/ELT pipelines, and optimize user acquisition, retention, and monetization.

Maintains and enhances data pipelines, transformations, supplier quality reports, scorecards, and dashboards in Domo and related analytics tools. Develops business intelligence solutions covering supplier performance, sourcing effectiveness, spend, risk, and continuous improvement. Partners with sourcing, supply chain, logistics, IT, plant, and executive stakeholders to translate business needs into technical requirements and actionable insights. Leads complex analytics initiatives, documentation, training, stakeholder communications, and cross-functional process optimization.

Leads category strategy and analytics across multiple consumer brands by analyzing market, shopper, competitive, channel, and customer performance. Develops business reporting, identifies growth opportunities, supports strategic projects, answers senior leadership questions, and drives cross-functional consensus. Partners with sales, marketing, finance, operations, demand planning, consumer insights, and data science teams while coaching analytics team members and leading omnichannel initiatives.

Creates and maintains data warehouse connections, tables, schemas, reports, workflows, and ad hoc data pulls. Partners with operations leadership, technology teams, database administrators, and stakeholders to ensure accurate, accessible reporting. Manages change requests, improves data processes, documents solutions, and translates complex concepts into clear insights for business users.