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Junior Data Analyst; W2

Job in Cincinnati, Hamilton County, Ohio, 45208, USA
Listing for: Technology Hub Inc
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst, Data Science Manager, Data Mining
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: Junior Data Analyst(W2)

Interview Process

Virtual + In-Person

Visa

NO OPT, CPT

Position Overview

We are seeking a highly analytical and business-minded Mid-Level Data Analyst to join our team. In this role, you will be responsible for collecting, analyzing, and interpreting large datasets to generate actionable insights that guide strategic decision-making across the organization.

This is not just a data manipulation role — we are looking for someone who can identify opportunities, evaluate business trade-offs, and clearly communicate meaningful recommendations to diverse stakeholders. The ideal candidate combines strong technical skills with business acumen and storytelling ability.

Key Responsibilities
  • Collect, clean, and analyze large and complex datasets from multiple sources
  • Develop dashboards, reports, and visualizations to support business initiatives
  • Identify trends, patterns, and opportunities to improve operational efficiency and revenue growth
  • Conduct exploratory data analysis and deep-dive investigations
  • Evaluate business trade‑offs and quantify potential impact of strategic decisions
  • Partner with cross‑functional teams (Product, Marketing, Finance, Operations, etc.) to understand business needs
  • Translate business problems into analytical frameworks and solutions
  • Present findings and recommendations clearly to both technical and non‑technical stakeholders
  • Ensure data accuracy, integrity, and governance best practices
  • Support A/B testing, forecasting, and performance tracking initiatives
Required Qualifications
  • Bachelor’s degree in Data Analytics, Statistics, Mathematics, Economics, Computer Science, or a related field
  • 3–5 years of experience in data analysis or business analytics
  • Strong proficiency in SQL (advanced querying, joins, aggregations)
  • Experience with data visualization tools (e.g., Tableau, Power BI, Looker)
  • Proficiency in Excel and/or Google Sheets
  • Experience with Python or R for data analysis
  • Strong analytical thinking and problem‑solving skills
  • Excellent communication and presentation skills
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