Golden Technology

Mid-Level Data Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Mid-Level Data Analyst, offering a contract length of "unknown" and a pay rate of "unknown." Key skills include proficiency in Python, SQL, statistical modeling, and experience with Power BI. Strong exploratory data analysis skills are required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 3, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Cincinnati Metropolitan Area
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🧠 - Skills detailed
#Regression #BI (Business Intelligence) #Datasets #Predictive Modeling #SQL (Structured Query Language) #Visualization #Microsoft Power BI #Data Analysis #Python #Data Manipulation #ML (Machine Learning)
Role description
• • No Third Party Vendor C2C • • 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.