Key skills
SQLTableauAnalyticsLookerBISnowflakedbtFivetranSalesforceCRM
About this role
Role Overview
- drive significant business impact by shaping our data infrastructure
- developing robust data models
- promoting best practices in analytics engineering
- collaborate closely with the Marketing team
- ensure that funnels are being tracked and surfaced in our data models
- evaluate Marketing campaigns using accurate data
- create trusted, self-serve datasets
- proactively identify and resolve data quality issues
- add comprehensive metadata to datasets
- partner with Marketing stakeholders to translate business questions into robust data products
- enable Marketing teams to confidently use Omni and core GTM datasets
- activate data from Snowflake into operational tools
Requirements
- Extensive experience in analytics engineering or related data roles
- demonstrated expertise in advanced SQL, dbt, and Snowflake
- Proficient in using BI tools (e.g. Tableau, Looker, PowerBI, Snowsight)
- Skilled in performing data ingestion and activation using no-code tools (e.g. Fivetran, Stitch)
- Knowledgeable in managing metadata, documentation, data quality checks, and sensitive data masking effectively
- Effective at collaborating closely with diverse stakeholders
- Experienced in conducting training sessions and providing informal mentorship to junior analytics team members
- Familiar with Marketing and GTM data concepts such as campaign tracking, attribution, funnel stages, lead/account lifecycle, pipeline generation, paid media, web analytics, CRM data, and marketing automation data
- Experienced with common GTM tools such as Salesforce, HubSpot, Marketo, Google Analytics, ad platforms, enrichment tools, or similar
Tech Stack
- SQL
- Tableau
Benefits
- unlimited holidays
- 4 months paid family leave regardless of gender
- investment in learning
- personal development via constant exposure to new challenges
- annual learning fund
- regular internal and external training