Top Data & Analytics Jobs

Build and maintain data pipelines and benchmarking visualizations using Python. Collaborate with data scientists and engineers to support analytics platform and R&D digital transformation. Contribute to testing, CI, and cloud-native/data warehouse workflows within an agile team.

Support data collection, cleaning, validation, consolidation, and basic analysis. Prepare summaries, pivot tables, charts, and automation of reports. Assist with data processing using Excel, Power BI, Python, SQL, or similar tools and AI tools/agents. Maintain templates, dashboards, and reporting outputs. Support ad-hoc analysis, issue investigation, and result verification while collaborating with business teams.

This role involves designing data architectures, building scalable data platforms, and collaborating with teams to ensure data quality and performance.

Design, build, and optimize scalable data pipelines and products; improve data quality, reliability, security, and automation; develop analytics solutions; collaborate with engineers, analysts, and business stakeholders; support analytics and AI/ML use cases.

Design and implement enterprise-scale, hybrid/multi-cloud data platforms including data integration and transformation pipelines, governance, security, and resiliency. Drive platform architecture decisions, mentor engineers, collaborate with stakeholders, and improve delivery through automation and DevOps/DataOps practices.

Support stakeholders to gather and document requirements for analytics, reporting, data products, and AI solutions. Perform exploratory data analysis with SQL, identify data quality issues, create user stories and technical specifications, coordinate with engineering and BI teams, facilitate discovery workshops, and support UAT and standardized analytics practices.