Top Senior Data & Analytics Jobs

Conduct research, analyze complex business data, develop reports, document processes, present findings, and recommend improvements for customer projects. The role gathers stakeholder and survey information, evaluates business processes, anticipates requirements, and supports new solutions. It requires strong analytical, documentation, communication, organizational, presentation, and troubleshooting skills, along with Microsoft Office and SharePoint proficiency.

Designs and maintains enterprise reporting, dashboards, semantic models, and analytics solutions using Snowflake, Power BI, and SQL. Translates business requirements into scalable data products, performs complex analysis, and communicates insights to technical and non-technical stakeholders. Supports data governance, quality, metadata, automation, testing, deployment, and production support. Promotes data literacy, mentors peers, evaluates emerging technologies, and contributes as an analytics subject matter expert on enterprise projects.

Leads the Data Engineering and Analytics team, managing people, strategy, intake, prioritization, data pipelines, governed reporting, and stakeholder delivery. Oversees Python, SQL, dbt, Airflow, and BigQuery data products; improves reliability, code quality, and operational processes. Guides predictive and prescriptive analytics initiatives, including forecasting, recommendation, and segmentation models, with responsible healthcare data governance. Partners with product, operations, executives, clients, and vendors while supporting accurate reports, invoices, and monthly close activities.

Leads HubSpot CRM implementation, governance, integrations, data migration, adoption, and ongoing management. Develops business intelligence strategies, dashboards, reports, and insights for sales, marketing, and executives. Drives sales enablement through training, documentation, change management, and performance reporting. Partners with marketing on campaigns, segmentation, event tracking, and ROI measurement while identifying automation, AI, and process improvement opportunities.

Leads HubSpot CRM implementation, governance, optimization, integrations, data migration, and user adoption. Develops business intelligence strategies, dashboards, reports, and actionable insights for sales, marketing, and executives. Drives sales enablement through training, documentation, change management, and performance reporting. Partners with marketing on campaigns, segmentation, event tracking, and ROI measurement while identifying automation, AI, and process-improvement opportunities.

Leads and develops a team of data analysts supporting academic and institutional stakeholders. Translates business needs into analytics solutions, oversees complex initiatives, and delivers dashboards, forecasts, reports, and insights. Partners with data engineering teams to improve data sources and pipelines, communicates findings through visualization and storytelling, and supports KPI development, data literacy, governance, and student-outcome improvement.

The Senior Data Engineer will build data pipelines and infrastructure, modernize legacy systems, and ensure data reliability for analytics at ABCorp.

Build and own data pipelines, models, quality checks, dashboards, and visualizations for manufacturing and test data. Partner with optical, manufacturing, and quality engineers to create reliable data solutions, improve pipeline performance and cost, and support engineering and leadership decisions. Establish software engineering practices for data systems, guide technical direction across distributed sites, and mentor other engineers.

Own analytics for operational areas by defining KPIs, building Tableau dashboards and SQL queries, validating data quality, uncovering insights, and presenting recommendations to stakeholders and leaders. The role involves requirements gathering, scoping ambiguous analytics initiatives, maintaining dashboards, driving adoption, and proactively identifying opportunities to improve shared-services operations.

Owns enterprise database platforms, applications, APIs, integrations, and data warehouse operations. Leads cloud-based data modernization, Azure platform evaluation, AI-enabling data architecture, governance, security, and Dynamics 365 migration readiness. Translates business requirements into scalable solutions, manages technical project lifecycles, collaborates with vendors and IT leadership, and mentors team members.