Data Analyst

MACHINE LEARNING TECHNOLOGIES LLC; Alexandria (VA); On-site; USD 86,000 - 123,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC is seeking an experienced Data Analyst in Alexandria, VA. The role focuses on SQL, Databricks, Spark SQL, Power BI, and Python to analyze customer and transaction data, develop dashboards, and report KPIs.

You will work on product analytics, A/B testing, loyalty programs, and validation, coordinating with product, engineering, and data teams. Strong communication is required.

Qualifications

• 3-5+ years in data analytics, product analytics, or BI with 3+ years SQL on large datasets.
• 3+ years SQL on cloud platforms using Databricks/Spark SQL.
• Experience building dashboards in Power BI or Tableau for stakeholders.
• Python (pandas) for data analysis and data quality focus.

Responsibilities

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

Skills

SQL

Databricks

Spark SQL

Power BI

Python

Data validation

Communication

Education

Bachelor's degree

Master's degree

Tools

Databricks

Power BI

Git

Job description

Job Description

Job Overview

Job ID: J54035

Job Title: Data Analyst

Location: Alexandria, VA

Duration: 10 Months + Extension

Domain Exposure: Pharmaceuticals

Client: To Be Discussed Later

Employment Type: W-2, 1099, C2C

Work Authorization: US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Details

Bill Rate: $76/hour (C2C)

Job Type: W-2, 1099, C2C

Client: To Be Discussed Later

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-4-EAD, Other

Job Summary

Our client is Seeking an experienced Data Analyst with strong expertise in SQL, Databricks, Spark SQL, Power BI, and Python. The ideal candidate should have hands-on experience in data analytics, dashboard development, customer and transaction analytics, KPI reporting, and data validation. Experience with product analytics, A/B testing, loyalty and rewards programs, and tools such as Mixpanel or Amplitude is preferred. Strong analytical, problem-solving, and communication skills are required.

Required Skills & Experience

• 3-5+ years of experience in data analytics, product analytics, or business intelligence, including 3+ years writing SQL against large datasets.
• 3+ years of advanced SQL experience (joins, window functions, CTEs) on large-scale cloud data platforms such as Databricks/Spark SQL.
• Experience building and maintaining dashboards and reporting in Power BI (or Tableau) for business stakeholders.
• Hands-on experience analyzing customer, transaction, or digital product data (e.g., loyalty programs, promotions, app engagement) to measure KPIs and business impact.
• Working proficiency in Python (pandas or similar) for data analysis.
• Strong attention to data quality, with the ability to validate data, reconcile sources, and explain discrepancies.
• Strong written and verbal communication skills, with the ability to coordinate across product, engineering, and data teams and to present findings to non-technical audiences.

Desired Skills & Experience

• Experience with product analytics tools such as Mixpanel, Amplitude, or Google Analytics.
• Experience with experimentation and incrementality measurement (A/B testing, test vs. control matching).
• Experience with loyalty, rewards, subscription, or fuel program analytics.
• Experience with Databricks notebooks/jobs and version control (Git).
• Familiarity with AI-assisted coding tools and Jira/Agile ways of working.
• Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science, Analytics) or equivalent experience.
• Master's degree in Analytics, Data Science, or a related field is desired, not a must have.
• Databricks or Power BI (PL-300) certification is desired, not a must have.

Preferred Industry Experience

• Convenience Retail, Grocery/QSR, Digital & Mobile Apps, Loyalty & Rewards Programs, Fuel

What You Will Be Doing

• Serve as the embedded analyst for the Rewards and Fuel Loyalty product teams: partner with product managers to define KPIs, set up launch measurement, and report on results.
• Build and maintain master analysis tables in Databricks (SQL/Python) that track loyalty, deals and rewards, and fuel program performance.
• Build and maintain Power BI dashboards and recurring reports (e.g., member activity, promotion performance) and keep metric definitions consistent.
• Measure the performance and incrementality of offers, promotions, and partner programs using test vs. control and cohort methods.
• Analyze app engagement event data (Mixpanel) alongside transaction data in the data lake; identify and elevate data gaps and quality issues before they affect reporting.
• Deliver ad hoc deep dives (e.g., customer segmentation, member activity, offer redemption) and present clear, concise findings to product and leadership stakeholders.
• Maintain the team's analytics initiatives and backlog tracker, and document tables, methodologies, and metric definitions so work is reusable.

Equal Opportunity Employer

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.