Data Analyst: Loyalty & Product Analytics

Valiant Technologies LLC; Alexandria (VA); In loco; USD 80.000 - 120.000; Tempo pieno

Descrizione del lavoro

Valiant Technologies LLC is seeking an experienced Data Analyst with strong SQL, Databricks, Spark SQL, Power BI, and Python expertise. The role focuses on data analytics, dashboard development, KPI reporting, and data validation across customer and transaction data.

Ideal candidates have 3–5+ years in data analytics, experience building dashboards, and familiarity with product analytics tools like Mixpanel or Amplitude. Strong communication and cross-team collaboration skills are required.

Competenze

• 3-5+ years of experience in data analytics, product analytics, or business intelligence.
• 3+ years writing SQL against large datasets.
• 3+ years of advanced SQL experience (joins, window functions) on Databricks/Spark SQL.
• Experience building dashboards and reporting in Power BI (or Tableau).
• Hands-on experience analyzing customer, transaction, or digital product data to measure KPIs and impact.
• Proficiency in Python for data analysis.

Mansioni

• Serve as embedded analyst for Rewards and Fuel Loyalty product teams; define KPIs and report results.
• Build and maintain master analysis tables in Databricks (SQL/Python).
• Create Power BI dashboards and recurring reports for stakeholders.
• Measure performance and incrementality of offers using test vs. control methods.
• Analyze app engagement event data (Mixpanel) with transaction data to identify data gaps.
• Deliver ad hoc deep dives and present findings to product and leadership.

Conoscenze

SQL

Databricks

Spark SQL

Power BI

Python

Data validation

KPI reporting

A/B testing

Mixpanel

Amplitude

Formazione

Bachelor's degree in a quantitative field

Master's degree in Analytics/Data Science

Strumenti

Git

Tableau

Descrizione del lavoro

Valiant Technologies LLC is seeking an experienced Data Analyst with strong SQL, Databricks, Spark SQL, Power BI, and Python expertise. The role focuses on data analytics, dashboard development, KPI reporting, and data validation across customer and transaction data.

Ideal candidates have 3–5+ years in data analytics, experience building dashboards, and familiarity with product analytics tools like Mixpanel or Amplitude. Strong communication and cross-team collaboration skills are required.