Data Analyst II - SQL, Excel

Requirements

Must have:

- Strong proficiency in Python and SQL, with demonstrated experience analyzing large, complex datasets.

• Hands-on experience in statistical modeling and advanced analytics, including regression, predictive modeling, machine learning, and/or causal inference.
• Excellent exploratory data analysis skills with a keen understanding of business drivers.
• Experience in creating dashboards and visualizations using Power BI.
• A problem-solving attitude characterized by curiosity, creativity, and a focus on delivering measurable business impact.
• Ability to operate independently while effectively collaborating in a dynamic, cross-functional team environment.

Responsibilities:

- Analyze and interpret intricate datasets to uncover trends, risks, and opportunities that drive business results.

• Transform analytical findings into clear, engaging narratives for stakeholders at various levels, including executives and business leaders.
• Develop and present various solution options, highlighting key tradeoffs, risks, and anticipated impacts.
• Conduct exploratory data analysis to identify anomalies and underlying causes.
• Collaborate with cross-functional teams to enhance data quality, consistency, and accessibility.
• Assist in standardizing data processes and promoting analytical best practices across the organization.

Company:

We are located in Cincinnati, OH, and offer a competitive salary ranging from $55.00 to $60.00 USD per hour. As a Data Analyst, you will play a pivotal role in analyzing large and complex datasets to generate insights that inform critical business decisions. You will collaborate closely with cross-functional teams to understand business challenges, explore data, and provide clear, actionable recommendations that influence strategy. We seek a proactive individual who excels in identifying opportunities and effectively communicating insights to both technical and non-technical audiences.