we're passionate about off-grid energy. Salpha Energy is a for profit social business and manufactures honest, reliable solar products designed to help people living off the electric grid.
Job Summary
- We’re looking for a results-driven Data Analyst, who will be instrumental in powering smarter decisions across Salpha Energy’s operations.
- Your mission: ensure accurate data reconciliation, drive operational intelligence, and fuel business growth with insights that matter.
- You will own data pipelines, automate reporting processes, and provide deep visibility into everything.
Key Responsibilities
- Automate reports and build dashboards to track financials, operations, and product performance.
- Monitor KPIs across key operations; surface insights to improve efficiency.
- Support product and business teams with dashboards, cohort analyses, and insight briefs.
- Drive smarter decision-making by tying data to ROI, customer outcomes, and product quality.
- Reconcile payments across platforms and internal systems; flag and fix data mismatches.
- Use Python and low-code tools to automate repetitive data tasks.
- Deploy and manage BI platforms like Looker, Holistics, or Quicksight to streamline reporting.
- Take charge and be a decision driver for assigned web platforms.
- Keep up-to-date on emerging technology solutions, particularly those on JavaScript, for continuous improvements in front-end application development and end-user experience.
- Clearly explain issues, decisions, and technical solutions to cross-functional teams.
Requirements
Qualities We’re Looking For:
- Excellent communication and documentation skills.
- Strong leadership and cross-functional collaboration abilities.
- Detail-oriented and committed to quality and innovation.
- Blends electronic precision with mechanical awareness.
- Practical, hands-on thinker who can lead from design to test.
- Fast learner and highly collaborative, especially with non-technical teammates.
Qualifications
- Degree in Mathematics, Economics, Computer Science, Information Management,Statistics.
- Advanced SQL proficiency (cohort analysis, complex joins, window functions, etc.).
- Experience with Python for exploratory data analysis and automation
- Knowledge of reporting tools like Looker/Holistics/Quicksight.
- Experience: Proven experience in data analysis, working with business users to create reports and dashboards, and delivering actionable insights. Familiarity with statistical packages (e.g., Google Sheets, Python libraries).
- Skills: Strong problem-solving abilities, attention to detail, critical thinking, and business acumen.
- Ability to communicate insights clearly & collaborate with cross-functional teams.
Method of Application
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