Data Analyst

  • Louisville, KY
  • Posted 5 days ago | Updated 5 days ago

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - 12 Month(s)
Able to Provide Sponsorship

Skills

Data Analysis
Python
QSR industries
mParticle

Job Details

Role: Data Analyst with CDP and Conversion API Expertise

Location : Louisville, KY

Job Overview

We are looking for an experienced Data Analyst with expertise in Customer Data Platforms (CDP), preferably mParticle, and hands-on knowledge of Google and Meta Conversion APIs. The ideal candidate will have a proven track record of leveraging data to drive decision-making in the e-commerce domain, with experience in the Quick Service Restaurant (QSR) industry being a strong plus. You will play a key role in analyzing customer data, optimizing marketing performance, and supporting business objectives through actionable insights.

Key Responsibilities Data Analysis & Insights

  • Collect, process, and analyze customer and transactional data to provide actionable business insights.
  • Develop and maintain reports, dashboards, and visualizations to monitor KPIs and performance metrics.
  • Analyze data trends to inform business strategy, especially in e-commerce and QSR contexts.

Customer Data Platform (CDP) Management

  • Configure and manage mParticle (or other CDPs) to unify and activate customer data across platforms.
  • Design and implement data flows, tagging, and event tracking within the CDP.
  • Support marketing and product teams with customer segmentation and journey mapping.

Conversion API Integration & Optimization

  • Implement and maintain Google and Meta Conversion APIs to enhance server-side tracking capabilities.
  • Ensure data accuracy and reliability for ad tracking and campaign measurement.
  • Collaborate with developers and marketing teams to troubleshoot and optimize conversion tracking setups.

Domain-Specific Analytics

  • Leverage data to optimize the e-commerce customer journey, focusing on cart conversion, retention, and repeat purchases.
  • Analyze QSR-specific metrics like order velocity, menu-item trends, and drive-through analytics, where applicable.

Cross-functional Collaboration

  • Partner with marketing, product, and technology teams to ensure data-driven alignment with business objectives.
  • Act as a subject matter expert in data analytics, providing actionable recommendations to improve engagement, sales, and ROI.

Data Quality & Compliance

  • Implement and monitor data quality checks to maintain accuracy and consistency.
  • Ensure compliance with data privacy and security standards such as GDPR and CCPA.

Required Skills & Qualifications

  • Bachelor s degree in Data Science, Analytics, Computer Science, Marketing, or a related field.
  • 3+ years of experience in data analysis, with a focus on e-commerce or QSR industries.
  • Expertise in mParticle or similar CDPs, including configuration, data ingestion, and audience activation.
  • Proficient in Google and Meta Conversion APIs, with experience in server-side tracking and optimization.
  • Strong skills in SQL, data visualization tools (e.g., Tableau, Power BI, Looker), and reporting.
  • Familiarity with Google Tag Manager or other tag management systems.
  • Experience in analyzing marketing campaigns, customer segmentation, and retention strategies.
  • Excellent communication and collaboration skills for cross-team alignment.

Preferred Qualifications

  • Advanced proficiency in scripting languages such as Python or R for data processing.
  • Experience with other CDPs like Segment or Adobe Experience Platform.
  • Knowledge of A/B testing frameworks and experimentation.
  • Familiarity with QSR operational metrics and analytics use cases (e.g., order accuracy, speed of service).
  • Experience with cloud platforms (e.g., AWS, Azure, or Google Cloud) and big data technologies

Thanks,

Jyothi

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.