Top Data & Analytics Jobs

Leads the design and implementation of scalable data models, pipelines, and analytics systems. Collaborates with data scientists, product analysts, software engineers, and stakeholders on cross-functional initiatives. Ensures data quality, testing, validation, observability, security, and system reliability while using AI to improve analytical engineering workflows and automate routine tasks.

Administer and optimize IBM Db2 for z/OS production databases, including design, performance tuning, security, backup and recovery, utilities, upgrades, and disaster recovery. Support SQL Server, Azure SQL Managed Instance, data movement pipelines, DDF/DRDA connectivity, and ITIL operations. Maintain documentation, runbooks, audit support, and recovery procedures while mentoring developers and cross-training backup administrators. Participate in on-call rotations and collaborate across mainframe, data engineering, warehouse, application, and systems programming teams.

Leads enterprise data strategy, lakehouse delivery, data products, and data and AI governance. Establishes platform standards, data ownership, quality, lineage, lifecycle, privacy, and regulatory controls. Builds governance operating models for AI development and monitoring, manages platform teams and partners, oversees external data acquisition, and reports risk, maturity, and compliance to executives, clients, and auditors.

Maintain and optimize Oracle databases supporting federal Web/Oracle systems in AWS. Responsibilities include database configuration, performance monitoring, backups and restoration, replication, schema management, release and testing support, firewall coordination, STIG compliance, audit support, and developing infrastructure-as-code solutions. The role requires Oracle DBA, PL/SQL, AWS RDS, database replication, and security compliance experience, along with a Secret clearance and Security+ CE or CCNA Security certification.

Summer data and analytics intern supporting data management, business analytics, machine learning, research, database and spreadsheet maintenance, and technical or operational projects. The intern collaborates with experienced analytics professionals, gathers data, contributes to team initiatives, completes training, and presents program learnings. The role requires strong communication, organization, problem-solving, adaptability, and proficiency with office, Google, Oracle, and other computerized tools.

Lead architecture and execution of Grafana's marketing data stack and analytics practice. Build forecasting, predictive, and causal models, design BigQuery schemas, deploy agentic AI and automated pipelines, partner with GTM leadership, and deliver executive-grade insights to drive demand generation and ROI.

Analyzes ERP data, develops and standardizes business reports, converts existing reports to Microsoft Power BI, supports data cleanup, and improves report usability across departments. The role requires strong communication, problem-solving, organization, and customer service skills while managing multiple priorities and documenting reporting code.

Leads marketing analytics and end-to-end measurement across growth marketing, including dashboards, pipeline attribution, ROI, CAC, LTV, forecasting, budget analysis, experimentation, and data quality. Partners with Marketing, Finance, RevOps, and BI teams to connect spend with pipeline and revenue. Uses AI, machine learning, predictive modeling, and automation to improve reporting, attribution accuracy, insight generation, and investment decisions.

Leads enterprise Power BI and Microsoft Fabric reporting delivery, including architecture, semantic modeling, governance, testing, deployment, support, and production readiness. Manages internal, vendor, and partner resources; establishes development standards and reusable frameworks; modernizes reporting through automation and scalable data models; monitors delivery performance and risks; and partners with business and technical stakeholders to ensure secure, governed, high-quality analytical products.

Supports and optimizes the Epicor ERP system, resolves user and data issues, configures workflows, and supports upgrades and integrations. Develops dashboards, reports, SQL queries, data extracts, and automated reporting solutions using BI tools. Ensures data integrity, defines KPIs, trains users, maintains documentation, and partners with departments across manufacturing, finance, supply chain, sales, and HR to improve processes and decision-making.