Top Senior Data & Analytics Jobs

The Senior Business Analyst analyzes relational database data, validates and cleans information, and develops dashboards and reports using Excel, Qlik, and Power BI. The role translates business needs into technical requirements, tracks KPIs, supports strategic decisions, and coordinates cross-functional projects involving IT teams, vendors, integrations, testing, and change management. Responsibilities also include project planning, risk tracking, executive reporting, stakeholder presentations, and oversight of transportation, logistics, billing, payroll, and financial processes.

Leads enterprise data architecture, SQL Server administration, data warehouse design, ETL/ELT pipelines, Azure data platforms, data governance, master data management, and business intelligence strategy. Partners with business and IT stakeholders to deliver scalable analytics solutions across financial, HR, CRM, operational, and practice management systems. Provides technical leadership, vendor coordination, architecture documentation, and mentorship.

Analyzes business performance data and delivers actionable insights for stakeholders and senior leaders. Develops dashboards, scorecards, KPI reports, and recurring brand reporting while ensuring data accuracy and reliability. Partners with sales, marketing, product, and technical teams to translate business needs into analytics solutions. Performs ad hoc analysis, identifies trends and risks, supports executive presentations, and communicates recommendations clearly.

Architect and lead enterprise data platforms, pipelines, and infrastructure using Spark, Databricks, and cloud technologies. Build scalable data models and dimensional schemas, establish governance and data quality frameworks, optimize performance and reliability, and implement monitoring. Partner with stakeholders to translate requirements into technical solutions, lead design reviews, mentor engineers, contribute to platform strategy, troubleshoot complex failures, and support hiring and team development.

The Senior Data Engineer designs and manages data systems, warehouses, pipelines, APIs, and reporting solutions supporting Sales, Credit, Finance, and Operations. Responsibilities include gathering and validating data, automating reporting and analytics, optimizing SQL performance, integrating internal and external applications, translating business needs into technical solutions, managing vendor customizations, and mentoring IT team members. Commercial leasing and lending expertise is required.

Owns the health, performance, and evolution of Oracle, PostgreSQL, and MongoDB database platforms across Azure and OCI. Responsibilities include database architecture, performance tuning, HA/DR, cloud infrastructure, CI/CD automation, observability, cost optimization, and real-time production support. The role partners with DevOps, Infrastructure, and Software Engineering teams and participates in on-call incident response for mission-critical warehouse management workloads.

Own and improve operational metrics, dashboards, analytical datasets, data pipelines, and automated reporting for autonomous vehicle fleet operations. Analyze utilization, uptime, delays, downtime, readiness, mission performance, and commercial outcomes to identify root causes and improvement opportunities. Ensure data quality across systems, develop scalable workflows, and partner with Operations, Commercial, and Data Platform teams to deliver actionable insights and recommendations.

Leads enterprise analytics development and reporting, with primary responsibility for Tableau and emerging Power BI capabilities. Partners with executives and business teams to translate analytical needs into data models, dashboards, reports, and predictive operational metrics. Oversees Tableau content, visualization standards, quality controls, lifecycle management, external development resources, and self-service analytics adoption. Performs analysis across sales, finance, field activity, and supply chain while advising the organization on analytics strategy and data storytelling.

Develop and optimize data pipelines, ingestion and transformation jobs, incremental datasets, and automated data flows on modern data platforms. The role designs scalable data solutions, applies DevOps and data engineering principles, improves pipeline architecture, supports governance and data quality, and provides operational documentation. It also involves cross-functional collaboration with platform, governance, analytics, and data science teams, while mentoring early-career professionals.

Leads Duck Creek Technologies’ Intelligence function, overseeing analytics engineering, business intelligence, reporting, dashboards, metrics, and insight generation. Builds scalable analytics platforms and governance standards, partners with product, AI, engineering, and business leaders, and translates complex data into actionable recommendations. Manages analytics teams and advances enterprise data-driven decision-making, operational performance, and product development.