Top Data & Analytics Jobs

Administers enterprise SQL Server and other database environments, including database creation, monitoring, tuning, access provisioning, backup and restore, migrations, upgrades, patching, capacity planning, and incident management. Designs database architecture, establishes security and access standards, resolves performance and user issues, and collaborates with infrastructure, development, and data teams on projects, roadmaps, and operational improvements.

Supports university-wide analytics initiatives across the data lifecycle, including acquisition, validation, transformation, analysis, reporting, and visualization. Develops dashboards, reports, data files, and analytical solutions; consolidates and interprets data from multiple sources; troubleshoots processing issues; and communicates actionable insights to campus stakeholders. The role requires maintaining data according to security and management standards while supporting institutional planning and strategic decision-making in a hybrid environment.

Analyze market, industry, competitor, and customer intelligence for Vistex’s served industries. Assess market opportunities, monitor competitors, identify trends, develop competitor profiles, and translate complex information into actionable insights. Findings support go-to-market strategies, product roadmaps, marketing direction, competitive positioning, pipeline development, and revenue growth. The role collaborates with industry, sales, marketing, product, and pre-sales stakeholders while managing multiple projects.

Provides technical leadership for enterprise lakehouse architecture and data foundation initiatives. Designs and develops scalable batch, streaming, and event-driven pipelines using Databricks, AWS, Spark, Python, SQL, and Delta Lake. Establishes engineering standards for modeling, testing, CI/CD, quality, observability, governance, and support. Translates business needs into architecture decisions and delivery plans, coordinates contractors and vendors, mentors engineers, and partners with product, supply chain, governance, and AI/ML teams.

Leads DePuy Synthes’ corporate Data and AI strategy across ERP, HR, Legal, Procurement, Finance, and Corporate Affairs. Owns demand management, prioritization, governance, roadmaps, and delivery portfolios while coordinating global delivery teams. Oversees data products, dashboards, analytics, predictive models, and AI solutions; advances data governance, master data management, and data quality. Builds stakeholder alignment, tracks business value, and develops data and AI talent across a global matrixed organization.

Leads DePuy Synthes Supply Chain’s Data and AI strategy, demand prioritization, governance, roadmap, and portfolio delivery. Partners with business, IT, and global capability center teams to deliver data products, dashboards, predictive models, and AI solutions across planning, procurement, manufacturing, inventory, logistics, and customer service. Establishes data quality and value-realization frameworks, manages executive stakeholders, and develops data and analytics talent.

Manage IT teams in the design, development, testing, and implementation of applications, ensuring data integrity and project success while overseeing budgets and team performance.

Develop and support data visualization toolkits, dashboards, and visual reports. Prepare and quality-check datasets, apply data storytelling and visualization best practices, and collaborate with analytics teams to capture requirements and refine designs. The role uses platforms such as Power BI, Tableau, and Advana within Department of Defense environments, with opportunities to create interactive visualizations and mentor others.

Design, develop, and deliver Power BI dashboards and visualizations for law enforcement clients. Integrate Jira and other data sources, build datasets, collaborate with stakeholders, and support executive reporting while following best practices and ensuring solutions meet client requirements and security vetting.

Design, build, and maintain scalable ETL/ELT pipelines and Lakehouse architectures using Azure Synapse, ADF, and Databricks. Ingest data from APIs, databases, event streams, and SaaS; perform data modeling; implement monitoring/alerting; mentor junior engineers; and support testing, CI/CD, and observability for mission-driven analytics projects.

Analyzes and visualizes client data using SQL, Python, Power BI, and Tableau; automates analytical and business processes with Power Automate; develops dashboards and analytical solutions; identifies risks and requirements; defines KPIs; and communicates insights to technical and non-technical stakeholders. The role requires an active Secret clearance and full-time onsite work in Washington, D.C., with up to 10% travel.

Build and maintain web crawling and scraping pipelines to collect, transform, and deliver third-party healthcare data. Research sources, assess feasibility, implement extraction strategies, test for quality, and maintain scrapers when sources change. Participate in weekly standups and initial fundraising activity.

Develops business reporting, analytics, and process automations for wealth management and supervision operations. Partners with business users to gather requirements, deliver recurring and ad hoc reports, connect data across systems, identify process efficiencies, and provide insights. Uses Power BI, Salesforce/CRM, Excel, SQL, AI capabilities, and other development tools to create end-to-end data solutions.

A 24-month Analytics Leadership Development Program involving three eight-month rotations across Finance, Risk Management, Interactive Marketing, Technology, and Data Management. Responsibilities may include project-based solution development, process enhancements, troubleshooting, data analysis, and reporting. Participants receive on-the-job training, leadership exposure, and opportunities to transition into permanent roles.

Drives laboratory efficiency and profitability through data analysis, KPI dashboards, reporting packages, trend analysis, and operational recommendations. Partners with laboratory, field operations, and implementation stakeholders to prioritize initiatives, implement continuous improvements, achieve denture KPI goals, and deliver savings. Provides coaching, strategic feedback, job aids, email templates, and stakeholder-specific reporting to support execution across dental practices.

Leads the design, delivery, and reliability of an enterprise data platform. Manages and mentors data engineers, oversees architecture and scalable pipelines, establishes engineering standards, and drives platform modernization. Responsibilities include incident response, monitoring, governance, security, AI-assisted development, automation, and GCP cost optimization. The role requires hands-on technical leadership across data modeling, cloud infrastructure, CI/CD, batch and streaming architectures, and stakeholder collaboration.

Architect and build batch and streaming data pipelines for scheduling optimization, patient forecasting, machine learning, and real-time decision systems. Design feature stores, data models, orchestration workflows, observability, and reverse ETL processes. Partner with data scientists, operations researchers, and business stakeholders to productionize models and optimization outputs. Provide technical leadership, documentation, and mentorship while ensuring scalable, reliable data systems.