Top Data & Analytics Jobs

Supports data migration and conversion for a state government IT project. Responsibilities include documenting business requirements, translating requirements into functional and technical designs, profiling and cleansing data, writing complex SQL queries, developing source-to-target mappings, performing gap analysis, supporting testing and UAT, and collaborating with technical teams and data specialists.

Own marketing analytics across B2B and e-commerce funnels, including data modeling, metric definitions, campaign measurement, lead quality, attribution, dashboards, and executive storytelling. Partner with marketing stakeholders to identify funnel issues and recommend actions. Maintain a governed Snowflake marketing data layer, build self-service analytics and automated quality checks, support Salesforce Marketing Cloud migration, and develop AI-assisted analytics tools.

Build and operate scalable cloud data pipelines, warehouses, transformation layers, and ML production systems. Lead data infrastructure architecture, warehouse performance optimization, DataOps monitoring, CI/CD improvements, data quality testing, and large-scale data product delivery. Collaborate across teams, promote data stewardship, and support batch and streaming pipelines while deploying, serving, and monitoring machine learning models.

Supports customers with data onboarding, analysis, and adoption of Bikky’s insights. Updates DBT models, performs customer retention analyses, collaborates with product and engineering teams, and communicates analytical findings. The role combines SQL, statistical analysis, business judgment, and customer-facing communication, with opportunities to grow into product development, data engineering, or data science.

Own the architecture and technical direction of Northbeam’s data ingestion and integration platform. Design scalable API-based ETL, event-driven and batch processing systems; establish standards for observability, freshness, and failure handling; and guide build-versus-buy decisions. Collaborate across engineering, infrastructure, product, and business teams while mentoring engineers, leading design reviews, and driving complex platform initiatives to completion.

Owns dataset strategy and quality for physical labor AI data. Defines the ideal dataset, objective functions, taxonomy, golden sets, acceptance criteria, audits, and incremental data value. Converts these frameworks into collection strategies, operational standards, and vendor requirements while optimizing information gain over unnecessary fidelity or volume. Partners with marketplace, software, research, and evaluation teams to connect dataset quality with model capability.

Leads complex multibeam and marine survey data processing from project setup through final delivery. Integrates and analyzes data from GIS, client documentation, and public sources; performs calculations, quality checks, and prepares client deliverables. Provides technical guidance and mentoring to Survey Analysts, manages workflows and deliverable quality, and supports offshore pipeline inspection, MBES, photogrammetry, positioning, and construction projects.

Leads consumer and market insights for Yahoo Ads, partnering with sales and go-to-market teams to develop data-driven narratives, audience profiles, vertical trends, case studies, and client materials. Uses Yahoo first-party data, syndicated research, quantitative and qualitative methods, and generative AI tools to accelerate research. Builds validated analytical templates and self-service resources, collaborates on reporting pipelines and dashboards, and translates complex findings into executive-ready presentations.

Leads the Analytics Systems Team of 6–10 engineers, overseeing team development, engineering quality, project delivery, product direction, roadmap prioritization, and strategic analytics infrastructure. The role guides development of data pipelines, analytics tooling, feature stores, and foundation-model integrations supporting clinical trials, diagnostics, biomarker discovery, and regulated Life Sciences workflows.

Collects, cleans, integrates, and analyzes business data; develops Power BI dashboards, reports, models, pipelines, and data quality controls. Translates business needs into analytical solutions, identifies trends and recommendations, validates results, supports migrations and modernization, and explores AI and machine learning use cases. Partners with technical and nontechnical stakeholders while documenting data lineage, assumptions, governance, privacy, and responsible AI practices.