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Data Analyst Intern

Object Tech, Inc.
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Data Analyst - Intern (Job Board Link: https://www.object.tech/jobs/data-analyst-intern)
 

Job Overview

We’re looking for a Data Analyst Intern to support our Marketing, Business, and Finance teams. Under the mentorship of our Head of Data & Analytics and in collaboration with marketing, finance, and operations leaders, you'll work on real-world datasets, develop dashboards, and drive insights that influence key strategic decisions.

 

Key Responsibilities
 

  • Marketing Analytics: Analyze campaign and social performance, customer acquisition, retention, and LTV. Build dashboards to evaluate ROI and marketing funnels.
  • Finance Analytics: Develop financial models, support budgeting and forecasting, and conduct variance and cost-efficiency analysis.
  • Operations Analytics: Track KPIs across operational processes, identify bottlenecks, and recommend improvements.
  • Clean, validate, and transform data for dashboards and ad-hoc analysis.
  • Present actionable insights through reports and data visualizations to cross-functional teams.
     

Required Qualification

  • Pursuing a degree (or recent graduates) in Computer Science, Data Science, Statistics, Math, Finance, Marketing, Business Operations, or a related field
  • Strong skills in Excel and SQL; experience with BI tools such as Tableau, Power BI, or Looker
  • Analytical thinker with a passion for turning complex data into clear, actionable insights
  • Effective communicator comfortable presenting findings to non-technical audiences
  • Self-starter who thrives in a fast-paced, dynamic environment
     

Preferred Qualifications

  • Some experience in Python or R for data analysis
  • Familiarity with marketing tools like Google Analytics, HubSpot, or CRM platforms
  • Basic knowledge of financial modeling and forecasting
  • Comfortable working with operations tools and KPI tracking systems


 

What We Offer

  • Hands-On Projects: Work on impactful campaigns, budgets, and operations initiatives
  • Mentorship: Direct learning from experienced data, marketing, and finance professionals
  • Remote-First Flexibility: Work from anywhere, on your own schedule
  • Career Support: Receive recommendation letters, referrals, and strong resume experience