Top Data & Analytics Jobs

Design, develop, and operate large-scale data ingestion, transformation, enrichment, and processing pipelines across cloud, hybrid, and on-premises environments. Build distributed services using Java, Python, and Kafka; optimize data models and platform performance; deploy applications on Kubernetes; support infrastructure automation and CI/CD; troubleshoot production systems; and collaborate with customers and solution architects on implementations.

Supports data collection, analysis, reporting, and dashboard development to generate business insights and monitor performance. The intern researches topics, summarizes findings accurately, collaborates with others, follows department procedures, and learns reporting, visualization, analytical methodologies, company operations, and computer systems. Candidates must be enrolled in an undergraduate mathematics, actuarial science, or related degree program and demonstrate strong academic performance, communication, analytical, mathematical, problem-solving, teamwork, and independent-work skills.

Provides analytical support for Corporate Facilities using CMMS data. Creates SQL queries, BIRT reports, Maximo interface updates, predictive maintenance models, failure-pattern analyses, utility consumption baselines, and ROI measurements. Partners with end users to improve systems, develops training materials, and documents process changes. Travel is required.

Supports master data creation, maintenance, audits, governance, cleansing, deduplication, and quality tracking across JD Edwards, PIM, and Wrike. Partners with Supply Chain, Finance, Marketing, and Creative teams to resolve discrepancies, support SKU setup, document processes, and assist with integrations, migrations, automation, and AI-enabled data-quality initiatives. The intern also tracks cross-functional requests and project timelines.

Leads philanthropy data strategy, reporting, CRM administration, and technology operations. Oversees data governance, system integrity, dashboards, forecasting, campaign reporting, integrations, vendor relationships, automation, and continuous improvement. Partners with philanthropy leadership to improve fundraising performance and operational efficiency, while ensuring data quality, security, compliance, and documentation. Supervises and develops staff and serves as the subject matter expert for philanthropy data and technology.

Own NimbleRx’s data platform end to end, including ingestion, transformation, storage, querying, access, batch and streaming pipelines, warehouse modeling, security, compliance, and reliability. Optimize PostgreSQL and Java/Spring data-layer performance, investigate infrastructure issues, develop AI-enabled tooling, partner across teams, and mentor engineers and analysts.

Supports Product and IS teams by developing enhancement requirements, workarounds, specifications, test cases, reports, and business process documentation. Performs UAT and functional testing, analyzes data, maintains application business rules and forms, coordinates vendor issue logs, and recommends process improvements. Requires accuracy, organization, effective communication, independent prioritization, and collaboration with internal teams and vendors.

Build and operate data platforms for finance-focused APM solutions, ingesting data into Microsoft Fabric and developing lakehouse and warehouse layers with SQL and Python. Manage source control, CI/CD, environments, security, deployments, production monitoring, incident response, backup, and disaster recovery. Support technical discovery, estimates, documentation, reusable code, and agentic coding initiatives across multiple client engagements.

Build and maintain databases, data warehouses, and ETL/ELT pipelines for client data solutions. Consult with clients to translate technical needs into data architectures, ensure data quality and governance, optimize system performance, and support secure, compliant data integration. Collaborate with data integration engineers, business analysts, software engineers, and technical and non-technical stakeholders in a client-facing role.

Own and evolve the enterprise data platform by architecting scalable data models, integrations, warehouses, and pipelines. Build and maintain solutions using Snowflake, dbt, Fivetran, Airflow, AWS, and Power BI. Integrate diverse data sources, implement monitoring and data quality frameworks, troubleshoot production issues, and deliver curated datasets for analytics and AI use cases. Provide technical leadership, establish engineering standards, and collaborate with business, governance, QA, and analytics teams.