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Data Lead

Data Lead

Strativ GroupBerlin, Germany, Germany
Vor 19 Tagen
Stellenbeschreibung

Role : Data Lead

Domain : Developer Tooling CDE (B2B)

Location : Fully Remote with no office - Occasional Meet-ups

Comp : Circa €90,000- €120,000 + Equity

Are you a Data Generalist (Warehousing, Ingestion, Analytics, Visualisation, Transformation), who views data as a means to drive business outcomes as opposed to solving technical challenges, and you enjoy transforming complex problems into elegant solutions?

Then read on....

You would join a series A CDE who have created a cloud based solution to help technical folk create software more efficiently. Having just launched a new product, your work closely with engineering, sales and customer experience to shape ensure the full data-stack, infrastructure, and insights are fit for purpose, to drive business impact, GTM Strategy and Operational Efficiency.

The business culture thrives on ownership, so you have the opportunity to shape the data strategy + architecture, advance data maturity and build a team around you in the mid-long term future.

The role :

  • Complete an audit of the companies data stack and put a roadmap in place to simplify it
  • Own Data Ingestion, Warehousing, Analytics & Visualisation with scalability, reliability + cost efficiency in mind
  • Create self service analytics capabilities
  • Data Eng Best Practises - Monitoring, Testing, Disaster Recovery, Documentation + make them scalable + reusable
  • Work with GTM to track customer behaviour and lead enrichment pipelines to ensure insights are in the right places

Stack they work with : BigQuery, DBT, Segment, Prefect, Cencus, Mixpanel, Hex, Metabase

Yourself :

  • Experience being the primary owner of a data function , in a fast-growing startup or scale-up environment
  • Simplified or improved a data set up and improved business success
  • Owned Product Data in a SAAS or Similar Environment
  • Built or significantly evolved data platforms that directly supported business growth
  • Track record of successfully wearing multiple hats across the data stack - from data engineering to analytics.
  • Experience with modern data stack tools like dbt, Prefect, Census / other orchestration and reverse ETL tools, modern warehouses (ideally BigQuery )
  • Background working with product analytics and data from multiple other first / third party data sources, experience building up a customer data platform
  • Evidence of stakeholder collaboration and business impact - driving business outcomes, team enablement, or improved decision-making processes

    • Benefits :

  • 30 days paid vacation + public holidays
  • Flexible working hours - work in your productivity hours
  • Annual company retreats
  • Sports, Health and Well-being Stipend
  • Educational Budget (€1800 per year)
  • Health Insurance
  • extended paid parental leave for all parents

    • If you have truly done the above and can demonstrate you have significantly evolved a data function of a SaaS business, please email me directly on [email protected] with your CV highlighting what you have done.-There have been a lot of applications for the role!