Top Data & Analytics Jobs

Designs, develops, tests, deploys, and supports enterprise data products, pipelines, transformations, and analytics solutions using Databricks and cloud technologies. Builds governed Bronze, Silver, and Gold lakehouse assets; implements data quality, monitoring, security, and access controls; and develops reusable data models and engineering components. Collaborates with architects and Agile delivery teams, participates in reviews and CI/CD, troubleshoots performance issues, automates operational processes, and documents technical solutions. The role supports reporting, operational workloads, and AI/ML use cases.

Advise federal executive stakeholders, translate concepts into actionable recommendations, manage program performance measures and data processes, and support government contract workstreams. The role requires expertise in federal policies and operations, service delivery, data analytics, KPI development, process improvement, and communicating data-driven findings. Desired experience includes research, surveys, data governance, intelligent automation, AI-enabled capabilities, and DHS support.

Analyze client website and funnel data using spreadsheets, analytics platforms, and CRM tools. Create and maintain reports, investigate data anomalies, identify root causes, gather reporting requirements, document report updates, and uncover opportunities for website A/B testing. The role requires strong data literacy, attention to detail, English communication, adaptability, and willingness to learn conversion rate optimization.

Support Business Intelligence and Business Development teams through SQL data analysis, Tableau dashboard development, reporting automation, process documentation, and pipeline visibility. The intern will work with relational databases and tools including Snowflake, SSRS, Python, and Tableau while supporting cross-functional reporting requests. The role includes mentorship, knowledge-sharing, and presenting findings at the end of the summer program.

Administers and protects product-related ERP data, validating records, maintaining documentation, updating costs, performing cost roll-ups, reviewing manufacturing orders, and supporting accurate data processes across departments.

Provides technical leadership and supervision for enterprise data operations, including ETL/ELT pipelines, ingestion, scheduling, monitoring, recovery, data quality, and platform support. Designs secure, scalable architectures; oversees NIST-aligned controls, access, encryption, audit logging, and data governance. Coordinates incident management across technical teams, establishes operational KPIs, leads modernization and automation, and mentors data engineers, ETL specialists, analysts, and support staff.

Designs and implements scalable software solutions, develops maintainable features, resolves bugs, optimizes performance, and writes automated tests. Participates in architecture discussions, code reviews, Agile planning, CI/CD, observability, and adoption of AI-assisted engineering tools. Collaborates with QA, Product Management, and DevOps to deliver software across web, desktop, cloud, and IoT environments. The role is remote for candidates in the Seattle or Los Angeles metropolitan areas, with quarterly travel to Los Angeles.

Administer and maintain Oracle databases, including backups, restores, patching, installations, failover testing, recovery procedures, troubleshooting, database configuration, monitoring, alert tuning, and ServiceNow ticket management. Support SLA-driven requests and contribute to weekly activity reports while assisting with additional database platforms and automation.

Build and operate production data pipelines integrating ERP/ATS/project management/telemetry into a queryable layer. Own the data model for a live knowledge graph. Ship SLA-backed datasets/services for tools and ML. Convert unstructured vendor/field data (PDFs, spreadsheets) into trusted structured inputs. Ensure data quality via tests, monitoring, and lineage, and use modern data stacks and LLM tools responsibly.

Develops and supports Creatio CRM, Power BI, and Cognos analytics solutions; creates data models, dashboards, reports, workflows, and governed self-service analytics. Translates business requirements into secure reporting solutions, performs SQL-based analysis, manages data quality and governance, supports testing and deployments, troubleshoots users’ issues, and delivers training and documentation. Partners with stakeholders across technology, risk, compliance, finance, and operations to improve decision-making and business performance.