

Golden Technology
Mid-Level Data Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Mid-Level Data Analyst on a 12+ month contract in Downtown Cincinnati, OH. Key skills required include proficiency in Python, SQL, statistical modeling, and Power BI. Experience with large datasets and strong analytical abilities are essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 8, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Cincinnati Metropolitan Area
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🧠 - Skills detailed
#Regression #Data Analysis #SQL (Structured Query Language) #BI (Business Intelligence) #ML (Machine Learning) #Visualization #Predictive Modeling #Microsoft Power BI #Datasets #Data Manipulation #Python
Role description
Job Title: Mid-Level Data Analyst
Job Type: 12+ Months Contract (strong potential for extension)
Location: Downtown Cincinnati, OH (Onsite)
Position Overview
As a Mid-Level Data Analyst, you will be responsible for collecting, analyzing, and interpreting large datasets to provide insights and recommendations that will guide strategic decisions within the company.
We are looking for someone who goes beyond data manipulation—someone who can uncover opportunities, evaluate business tradeoffs, and clearly communicate actionable recommendations to diverse stakeholders. You will collaborate across departments to understand business challenges, explore data, and influence decision-makers with evidence-based insights.
Key Responsibilities
What You’ll Do
Translate complex analytical findings into clear, compelling narratives tailored to different audiences, including executives, business partners, and technical teams.
Develop and present multiple solution options to stakeholders, explaining risks, benefits, and expected impact.
Conduct exploratory data analysis to uncover trends, anomalies, and opportunities that drive business outcomes.
Standardize and improve data processes, quality, and availability in partnership with cross‑functional teams.
What You Bring
• Proficiency in Python and SQL, including experience working with large, complex datasets.
• Experience with statistical modeling and advanced analytical methods such as regression, predictive modeling, machine learning, and/or causal inference to support strategic decision‑making.
• Strong exploratory data analysis skills, with the ability to detect trends, anomalies, and drivers of business outcomes.
• Experience with Power BI for building clear visualizations and dashboards.
• A problem‑solving, innovative mindset with curiosity, creativity, and a focus on measurable business impact.
• Comfort working both independently and collaboratively in a dynamic, fast-paced, cross-functional environment.
Job Title: Mid-Level Data Analyst
Job Type: 12+ Months Contract (strong potential for extension)
Location: Downtown Cincinnati, OH (Onsite)
Position Overview
As a Mid-Level Data Analyst, you will be responsible for collecting, analyzing, and interpreting large datasets to provide insights and recommendations that will guide strategic decisions within the company.
We are looking for someone who goes beyond data manipulation—someone who can uncover opportunities, evaluate business tradeoffs, and clearly communicate actionable recommendations to diverse stakeholders. You will collaborate across departments to understand business challenges, explore data, and influence decision-makers with evidence-based insights.
Key Responsibilities
What You’ll Do
Translate complex analytical findings into clear, compelling narratives tailored to different audiences, including executives, business partners, and technical teams.
Develop and present multiple solution options to stakeholders, explaining risks, benefits, and expected impact.
Conduct exploratory data analysis to uncover trends, anomalies, and opportunities that drive business outcomes.
Standardize and improve data processes, quality, and availability in partnership with cross‑functional teams.
What You Bring
• Proficiency in Python and SQL, including experience working with large, complex datasets.
• Experience with statistical modeling and advanced analytical methods such as regression, predictive modeling, machine learning, and/or causal inference to support strategic decision‑making.
• Strong exploratory data analysis skills, with the ability to detect trends, anomalies, and drivers of business outcomes.
• Experience with Power BI for building clear visualizations and dashboards.
• A problem‑solving, innovative mindset with curiosity, creativity, and a focus on measurable business impact.
• Comfort working both independently and collaboratively in a dynamic, fast-paced, cross-functional environment.






