Redis · 11 hours ago
Senior Manager, Analytics Engineering
Redis is a company that builds the product running fast applications globally. They are seeking a Senior Manager of Analytics Engineering to define and execute the strategic roadmap for analytics initiatives, develop scalable data pipelines, and ensure data quality across all assets.
DatabaseInformation TechnologyOpen SourceSoftware
Responsibilities
Define/execute strategic roadmap for analytics engineering initiatives; design, develop, maintain robust/ scalable data pipelines to support reporting, analytics/data science needs; use BI Platform Architecture/Analytics Enablement, scalable data pipelines, Agile Methodologies, KPI & Metric Designs; perform ETL/Reporting (Matillion, DBT, Snowflake, Boomi, Tableau, AWS S3, Lambda, SQL, PL/SQL); work with tools (Salesforce, NetSuite, Marketo, Greenhouse, Clari, PeopleAI, Jira, Coupa, ServiceNow, SAP SuccessFactors, Google Analytics, Xactly, Github); ensure data quality, accuracy/ consistency across all data assets; collaborate with product, engineering, go-to-market, business stakeholders to understand data requirements/deliver impactful solutions; implement best practices for data governance, security, compliance; evaluate/recommend new tools/technologies to enhance data platform capabilities; design/implement processes to support self-service analytics/data democratization; support executive reporting/board-level presentations with high-quality, reliable data; drive continuous improvement in data engineering processes/methodologies; serve as company-wide expert on Redis’ internal data; review analytics needs of business/design; build Redis’ analytics data warehouse; work with team of data science professionals/cross-functional teams to identify business opportunities; build scalable data solutions; build high-performing analytics engineering team to create analytics-friendly, scalable data infrastructure for entire company; introduce processes/ documentation that accelerate pace of analytics work; enforce software engineering best practices to analytics code (version control, code reviews); manage documentation/definitions; create clean, reusable datasets from raw data; manage pipeline orchestration; lead efforts in customizing data integration; standardize data management practices; detect data quality issues/root causes; design, build/maintain all aspects of analytics data warehouse; design/develop applications for descriptive, prescriptive/predictive analysis for valuable insights from available data; lead, mentor, grow team of analytics engineers; and gather/document business and system requirements
Qualification
Required
Master's degree or foreign equivalent in Computer Science, Applied Computer Science, or Computer Engineering plus 2 years experience
Experience to include using BI Platform Architecture/Analytics Enablement, scalable data pipelines, Agile Methodologies, KPI & Metric Designs
Performing ETL/Reporting (Matillion, DBT, Snowflake, Boomi, Tableau, AWS S3, Lambda, SQL, PL/SQL)
Working with tools (Salesforce, NetSuite, Marketo, Greenhouse, Clari, PeopleAI, Jira, Coupa, ServiceNow, SAP SuccessFactors, Google Analytics, Xactly, Github)
Company
Redis
Redis is the world's fastest data platform.
H1B Sponsorship
Redis has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (11)
2024 (7)
2023 (2)
2022 (5)
Funding
Current Stage
Late StageLeadership Team
Recent News
2025-05-28
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