Analytics Engineer shaping Statista's reporting platform for data - driven decision - making. Focusing on BI tools like Power BI and improving report usability and transparency.
About the role
- Analytics Engineer shaping analytics foundation for Infinitus—a healthcare AI platform. Mentor data consumers and collaborate with teams to enhance decision-making.
Responsibilities
- Shape our analytics foundation: Define modeling patterns, metrics architecture, and analytics engineering best practices as we grow. Owning transformation design from raw data to consumption ready marts.
- Enable stakeholders: Collaborate with Product, Operations, Engineering, and Analytics teams to deliver faster, more reliable insights that drive business decisions.
- Build capacity: Mentor analysts and data consumers through tooling, guidance, and training—helping them design better models, build better metrics, and ship better insights.
- Scale with quality: Expand and maintain testing and documentation that let us ship confidently and sustainably.
Requirements
- 3+ years of experience in analytics engineering, or in data analytics with significant analytics engineering responsibilities
- Deep fluency in SQL and dbt (or similar frameworks), including layered modeling, incremental models, testing, and documentation
- Hands-on with modern data warehouses (BigQuery, Snowflake, Redshift, etc.) and transformation tools
- Comfortable working with technical and non-technical stakeholders to explore ambiguity and translate business requirements into well-defined data solutions
- Basic scripting skills in Python or similar languages for automation and data validation
- Excited to help others grow in their use of our data warehouse
- Passion for fostering a collaborative, inclusive, and impact-driven data culture
- Strong communicator across both technical and non-technical teams
- Energized by helping others grow in their use of data tools and workflows
Benefits
- Competitive salary, equity, and 401(k)
- Wellness stipend & great benefits (medical, dental, vision)
- Generous PTO & parental leave
- Bi-annual offsites & a collaborative, mission-driven culture
- Hybrid work (SF office Mon/Tues/Thurs) + catered lunches (*Bay Area Positions only)*
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Director of Data & Analytics leading data strategy for Reach Financial, enhancing decision - making through a data - driven culture. Guiding a team to innovate and implement scalable data solutions.
Data Scientist creating scalable insights from unstructured data at AI safety company. Collaborating with engineering and research teams in a hybrid Paris location.
Senior Analytics Engineer owning the analytics data platform for parenting technology startup. Requires deep SQL expertise and data pipeline experience in a hybrid role.
Senior Analytics Engineer at Higgsfield AI translating product and finance metrics into data models. Collaborating cross - functionally to ensure consistent, reliable data for decision - making.
Senior Data Analytics Developer for Krux, building data infrastructure for innovative SaaS solutions in mining industry. Collaborating with a self - motivated team to drive company growth.
Lead Risk Analytics Consultant at Wells Fargo focused on model governance and risk management strategies. Collaborate across teams to enhance system stability and mentor junior staff.
Analytics Engineering Lead responsible for building data products at Sanlam Fintech. Overseeing analytics engineering practice modernization and talent development within the organization.
Analytics Engineer foundational technical pillar for Analytics & Data Engineering at Skin + Me, transforming raw data into a strategic engine for growth. Reporting to the Director of Data and optimizing performance across business units.
Senior Analytics Engineer at RB Global designing domain models and leading KPI efforts. Optimizing data performance and mentoring analytics engineers in a hybrid work environment.