Location: Cincinnati, OH

Hybrid Schedule: 3 days in office / 2 days at home weekly 

Job Summary:  

We are seeking a highly skilled Senior Data Analyst to join our team and drive data-driven decision-making across the organization. The ideal candidate will have a strong analytical mindset, expertise in data visualization, and the ability to transform complex data sets into meaningful insights. As a Senior Data Analyst, you will collaborate with cross-functional teams to optimize business strategies, improve processes, and enhance overall performance through data analysis. 

What You’ll Do  

• Analyze large and complex datasets to identify trends, patterns, and insights that drive business decisions. 
• Communicate findings effectively to stakeholders primarily using Looker to ensure information is automated and not created manually. 
• Work closely with business leaders to understand objectives and provide actionable recommendations based on data analysis. 
• Evolve from creating descriptive reports that monitor metrics and outcomes to utilizing data proactively to uncover opportunities for improvement across the organization. 
• Design and implement data models, ensuring data integrity, accuracy, and consistency across multiple sources. 
• Utilize advanced statistical techniques and leverage machine learning models to solve business challenges. 
• Collaborate with IT, engineering, product, and business stakeholders to optimize data collection and pipeline processes. 
• Mentor and guide junior analysts, fostering a data-driven culture within the organization. 
• Stay updated with industry trends, emerging technologies, and best practices in data analytics and business intelligence. 
• Quickly familiarize yourself with new datasets and efficiently provide valuable insights. 

What We Need  

• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or a related intense quantitative field 
• 5+ years of experience in analytics, data management, business intelligence or a related field 
• Proficiency in SQL for querying and managing large datasets. 
• Experience with data visualization tools such as Looker, Tableau, or Power BI. 
• Strong understanding of data modeling, statistical analysis and data visualization 
• Proficiency in programming languages such as Python (preferred) or R for data analysis and automation. 
• Experience with cloud-based data platforms (e.g. Snowflake, GCP, AWS, Azure) 

Desired Qualifications 

• Master’s degree preferred 

What You'll Need to Succeed 

• Excellent communication and presentation skills, with the ability to convey complex data concepts to non-technical stakeholders. 
• Strong ability to translate analytical concepts and robust data storytelling skills to communicate insights to various audiences, including non-technical business partners 
• Strong problem-solving skills and a results-driven approach. 
• Excellent time management skills and keen attention to detail. 

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