Data Analytics
7 months ago
**Job Purpose**:
Responsible for reviewing data to identify key insights into a business's customers and ways the data can be used to solve problems.
**Responsibilities**:
- Build clean, validated, and reliable data reports and visualizations for our most important metrics and dashboards - this will prevent the need to validate data each time we build a report, and will significantly reduce confusion and fragmentation of analysis exercises.
- Offer insightful interpretations of our many data inputs that the product team will not always have time to arrive at (e.g., useful correlations and attributions, blind spots, etc.)
- Push for optimizing the performance of some queries which are currently very slow, or find alternative solutions to arrive at the same answers; this needs dedicated focus on streamlining how we pull the data and on whether the data sources need to be modified
- Help in building complex marketing attribution models and provide insights contributing to the overall effectiveness of marketing and growth teams
- Build and analyze sales insights that accurately measure the overall performance of our sales processes
- Offer a standardized and unified definition/calculation of each of our team-specific metrics and KPIs. E.g., a definition of “active users” for each product, a standard definition of an Enterprise acquisition, etc. Actively help in building sophisticated financial models for some projects that have a high MRR impact, multiple inputs and outputs, and continuous future iterations (e.g. pricing)
**Job Requirements:
- 2-3 years of relevant experience
- Bachelor’s degree in Computer Engineering, Computer Science, or equivalent discipline
- Business Intelligence (BI) or Data Engineering (DE) background, with a strong technical and business sense or experience catering to business-facing teams
- Experience with managing databases, data pipelines, and designing backend information systems, with the goal of unifying value & metric definitions
- Experience creating and fixing business performance metrics
- Basic modeling capabilities (e.g. for economic models and business cases)
- Able to independently discuss relevant details with technical teams, and utilize development processes to execute on their goals
- [Alternative Preference] Marketing/Product/Business background, with experience in quantitative goal-setting for business teams, and a working knowledge of data querying and visualization software
- Advanced business reporting skill set (SQL querying, relationship design, & data modeling)
- Advanced experience with data visualization software [Looker]
- Basic experience with data warehouses [Redshift]
- Basic experience with ETL tools [Fivetran]
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