Data Analyst at Salpha Energy Limited

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.