Data Analyst - Afternoon shift

Ovii's Interpretation of the Role

SpotOn seeks a Data Analyst to design and maintain performance dashboards, run Snowflake‑based SQL reporting, and apply Gemini AI insights for its Customer Success teams. The role operates on an afternoon shift (2 pm‑10 pm) and partners closely with CS leadership to drive data‑informed incentive decisions.

Role Snapshot

• Build performance dashboards in Power BI & Metabase
• Write and optimize Snowflake SQL queries
• Own weekly, monthly, quarterly reporting cycles
• Generate AI‑driven operational insights with Gemini
• Analyze CS metrics for bonus and incentive calculations
• Afternoon shift (2 pm‑10 pm) in Kraków

Must-Have Requirements

• Snowflake (SQL)
• Power BI
• Metabase
• Advanced Excel/Google Sheets
• Gemini AI tool
• Customer Success operational metrics
• Analytical mindset
• Stakeholder communication
• data analytics
• business intelligence
• customer‑facing performance reporting
• Bachelor's degree in Data Analytics, Statistics, Computer Science, Business Administration, Finance, or related field
• U.S. work authorization required
• visa sponsorship not available

Nice-to-Have Signals

• Fintech or SaaS experience
• Microsoft Certified: Data Analyst Associate (Power BI)
• Snowflake SnowPro Core Certification
• Google Data Analytics Professional Certificate
• Certified Analytics Professional (CAP)
• AI/ML or Data Science certificate (Coursera, edX, etc.)
• fintech
• SaaS
• AI/ML or Data Science certificate
• Fintech

Work Setup

• Location: Kraków, Poland
• Work mode: ONSITE
• Relocation: Relocation package within Poland
• Employment type: Full-Time
• Shift: Afternoon shift 2:00-10:00 pm

Eligibility Gates

• Work authorization: U.S. work authorization required
• Visa sponsorship: no

Not Specified in JD

• Visa sponsorship
• Remote eligibility

What You'll Likely Work On

• Create and maintain scorecards and dashboards for multiple Customer Success teams using Power BI and Metabase
• Develop, test, and tune SQL queries in Snowflake to feed reporting pipelines
• Run weekly, monthly, and quarterly reporting cadences that feed bonus and incentive calculations
• Apply Gemini AI workflows to surface gaps, bottlenecks, and improvement recommendations
• Maintain clean, documented spreadsheets for ad‑hoc analysis and performance tracking
• Partner with CS leaders to align KPI definitions with business goals
• Conduct variance analysis and root‑cause investigations for performance shortfalls
• Ensure data quality and delivery against SOPs, SLAs, and data‑quality standards

Good Fit If You Have

• Comfortable working the 2 pm‑10 pm afternoon shift
• Strong communication skills for presenting findings to business stakeholders
• Experience partnering with Customer Success leadership on metric definition
• Proactive attitude toward identifying and fixing reporting gaps