Top Senior Data & Analytics Jobs

Extracts, cleans, consolidates, and analyzes facilities maintenance, work order, environmental, and customer feedback data. Develops predictive indicators, dashboards, reports, cost and risk analyses, and recommendations to support work prioritization, funding, facility improvements, and command decisions. Translates findings into executable work packages, prepares briefings, documents methodologies, resolves data issues, and complies with Army, DoD, installation, information assurance, and PII policies.

Lead data engineering and machine learning initiatives by designing, architecting, developing, and supporting GCP data pipelines. Create information architecture documentation, estimate and plan technical work, collaborate with project teams and business analysts, and translate requirements into technical designs. Develop Python-based ELT pipelines, optimize BigQuery SQL, support CI/CD, and provide technical leadership to projects and teams.

Lead requirements elicitation, design, testing, and sustainment of financial system interfaces and large-scale data conversions to Momentum Financials. Analyze legacy and target data, reconcile issues, document designs/control documents, coordinate technical teams, validate interfaces/conversions, train users, and implement QA and process improvements. May mentor junior staff.

Lead end-to-end data analysis projects, including data collection, cleaning, statistical analysis, modeling, forecasting, and interpretation. Use SQL, Python, R, Tableau, Power BI, LLMs, and AI agents to generate business insights. Partner with cross-functional teams on KPIs and decision-making, communicate findings to stakeholders, improve analytical processes, and mentor junior analysts.

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.