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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data management, data modeling, and project management, with a strong ability to communicate technical concepts to non-technical stakeholders. Proficient in building ELT and reverse ETL pipelines while ensuring data quality and governance.
Highest-signal resume keywords
SQL ExpertiseData ModelingProject ManagementELT Pipeline DevelopmentData Governance Tools
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLData ModelingSchema DesignData WarehousingELT PipelinesReverse ETL PipelinesData Quality TestingDocumentationPerformance OptimizationDAGs in Airflow
Soft Skills
CollaborationCommunicationTeamworkProblem-SolvingLiaison Skills
Tools & Technologies
DbtAirflowData Governance ToolsAnalytics ToolsData Quality Tools
Industry Keywords
Data-Driven CultureAnalytics StrategyBusiness RequirementsAutomated ProcessesAccountingFinance
Tech Stack
Tools & technologiesAirflowETLPythonSQL
About the role
Key responsibilities & impact- Data-Driven Culture: You will be an ambassador for our data-driven culture, taking data and shaping it to facilitate analysis, insight generation, and decision-making
- Data Management: You will ingest, clean and organize raw data in a way that makes sense for both you and the team
- Project Management: You will lead data projects from ingestion to reporting, showing your experience to oversee, scope, and work with ambiguity, making uncertainty certain
- Collaborative Actualization: You will liaise between Business, Engineering, and Data to translate business requirements into proper data capture and schema design
- Data Strategy: You will help shape the data model at Super, which will advance our broader analytics strategy and build trust within the organization
- Teamwork: You will work with key stakeholders to understand existing processes and collaborate to design and implement improved and automated processes
Requirements
What you’ll need- 3+ years of work experience as an analytics engineer or full stack data analyst
- You are experienced in SQL, with an emphasis on writing performant code
- You are a data modelling expert, and have designed schemas before at previous organizations, ideally using dbt
- You have a strong comprehension of data warehouses and the modern data stack
- You have a track record of delivering projects, including datasets that were used to drive key business outcomes
- You can self-serve by building ELT pipelines and reverse ETL pipelines using off-the-shelf tools, or simple DAGs in Airflow leveraging python.
- You have experience leveraging tools for data governance, data quality testing, and documentation
- You can clearly communicate about technical subjects to non-technical people, and behave as a liaison between Business, Engineering, and Analytics
- Ideal but not required: You have experience in accounting or finance
Benefits
Comp & perks- Remote-First Flexibility: Work from anywhere in the world and choose the hours that suit you best. We trust you to get great work done on your terms.
- Time to Recharge: Enjoy unlimited PTO, company-wide recharge days, and annual team offsites.
- Everyday Perks: Weekly UberEats credits and travel discounts on SuperTravel help you enjoy the little things.
- Family-Friendly Benefits: We support growing families with generous parental leave and a flexible return-to-work plan.
- Comprehensive Compensation: Competitive salary, equity options, and top-tier benefits starting on day one.
- Investing in You: Access to wellness budgets, personal development funds, and team-level learning resources.