Junior Data Analyst; W2
Job in
Cincinnati, Hamilton County, Ohio, 45208, USA
Listed on 2026-02-16
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
Job Description & How to Apply Below
Interview Process
Virtual + In-Person
VisaNO OPT, CPT
Position OverviewWe 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
- 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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