Description
We are seeking a Senior Analytics Engineer to drive significant business impact by shaping our data infrastructure, developing robust data models, and promoting best practices in analytics engineering. You will collaborate closely with business stakeholders to identify and deliver high-value data solutions and provide informal mentorship to junior team members.
Responsibilities:
- Create and maintain complex, scalable data models in Snowflake using dbt.
- Expose datasets effectively in BI tooling to enable robust self-service analytics.
- Perform simple data ingestion tasks using no-code tools and ensure streamlined data flows.
- Add comprehensive metadata to datasets, including documentation, data quality checks, and sensitive data masking.
- Activate data by pushing it from Snowflake into other operational tools.
- Proactively identify and raise data quality issues to the respective process owners for resolution.
- Lead training sessions and initiatives to drive adoption and effective use of BI tools across the organization.
- Mentor junior analytics engineers, fostering knowledge-sharing and professional growth.
Requirements:
- Extensive experience in analytics engineering or related data roles, with demonstrated expertise in advanced SQL, dbt, and Snowflake.
- Proficient in using BI tools (e.g. Tableau, Looker, PowerBI, Snowsight) to deliver clear, actionable insights for business stakeholders.
- Skilled in performing data ingestion and activation using no-code tools (e.g. Fivetran, Stitch), ensuring efficient data integration into operational systems.
- Knowledgeable in managing metadata, documentation, data quality checks, and sensitive data masking effectively.
- Effective at collaborating closely with diverse stakeholders, understanding their data needs, and delivering impactful solutions.
- Experienced in conducting training sessions and providing informal mentorship to junior analytics team members, fostering a collaborative and knowledge-sharing environment.
Benefits:
- Attractive salaries
- Stock options
- Unlimited holidays
- Enhanced parental leave
- Retirement plans
- Private healthcare
- Well-being initiatives
- Annual learning fund
- Regular internal and external training