Space Products and Innovation spins technology into the space industry to simplify manufacturing. SPiN enables rapid, flexible, and cost-effective satellite designs through modularity, enabled by the combination of MA61C, its plug-and-play intelligent data... Backed by Techstars.
About the role
The Data Analyst plays a key role in transforming complex data into clear, actionable insights that drive strategic decisions and improve business outcomes. As part of a fast-evolving organization, analysts in this role have a direct impact on how the company operates and how customers experience its services. This role is not only about analyzing information—it also demands curiosity, initiative, and the courage to explore solutions to challenges that are not always obvious. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 2–4 years of experience in business analysis, data analysis, or similar roles
- Proficiency in SQL and experience working with structured datasets
- Understanding of cloud-based data architecture and ingestion processes
- Experience with at least one BI/visualization tool (e.g., Power BI, Tableau, Looker)
- Experience with impact evaluation methods such as A/B testing, pre-post analysis, control group comparisons, or causal inference frameworks for experiments evaluation
- Experience with Python for data manipulation, exploration, and visualization
More about this role
The Data Analyst plays a key role in transforming complex data into clear, actionable insights that drive strategic decisions and improve business outcomes. As part of a fast-evolving organization, analysts in this role have a direct impact on how the company operates and how customers experience its services. This role is not only about analyzing information—it also demands curiosity, initiative, and the courage to explore solutions to challenges that are not always obvious. In this intermediate-level position, you will investigate which data and methods best answer each question, including situations where information may be incomplete or uncertain. Success requires analytical rigor and the ability to collaborate across teams to deliver high-quality analytics solutions that strengthen both performance and customer satisfaction.
- Collaboration: Work with business and technical stakeholders to gather, clarify, and document functional requirements.
- Impact Evaluation: Support the design and interpretation of business impact analyses using methods such as A/B testing, pre-post comparisons, and control group analyses.
- Analytical Capacity: Use SQL, Python or equivalent tools to...
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