Senior Analytics Engineer

About the role

The Senior Analytics Engineer will drive business impact by shaping data infrastructure, developing robust data models, and promoting best practices in analytics engineering. This role involves collaborating with stakeholders to deliver high-value data solutions and providing mentorship to junior team members to enhance team capabilities.

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.

Required skills

• SQL
• dbt
• Snowflake
• BI tools
• Data modeling
• Data ingestion
• Data quality

Nice to have

• Tableau
• Looker
• PowerBI
• Snowsight
• Fivetran
• Stitch

Benefits

• Unlimited holidays
• 4 months paid family leave
• Annual learning fund
• Internal and external training

About the Company

Paddle offers digital product companies a different approach to their payment infrastructure by acting as a Merchant of Record. The company is backed by investors including KKR, FTV Capital, Kindred, Notion, and 83North, and serves over 6000 software sellers in 245 territories globally.