Data Analyst

We are seeking a Data Analyst to support reporting, analytics, and data-driven decision making for a growing team in Nashville. This role follows a hybrid schedule, with three days onsite and the remaining time worked remotely.

This is a hands-on position for someone who enjoys working directly with data, writing strong SQL, and using Python to analyze trends and solve real business problems. The role starts as a six-month contract with a clear path to full-time conversion for the right candidate.

In this role, you will partner closely with business stakeholders to understand reporting needs and translate those needs into clear, actionable insights. Day-to-day work includes writing SQL queries, validating and transforming data, performing analysis in Python, and helping stakeholders understand what the data is telling them.

Responsibilities include extracting and analyzing data from relational databases using SQL, performing data analysis and manipulation using Python, building reports and ad-hoc analysis to support business decisions, validating data accuracy and troubleshooting issues, documenting assumptions and logic, and supporting existing reporting and analytics workflows.

The ideal candidate has 3 to 5 years of experience working as a Data Analyst or in a similar analytics role. Strong SQL skills are required, along with hands-on experience using Python for data analysis. Candidates should be comfortable working with imperfect or incomplete data and able to communicate findings clearly to non-technical audiences.

Experience with business reporting or operational analytics is important. Experience with data visualization or BI tools such as Power BI, Tableau, or Looker is a plus but not required. Experience working in a collaborative, cross-functional environment is also beneficial.

This role offers a competitive Nashville market rate, a hybrid work schedule, meaningful analytical work, and a strong opportunity to convert to a full-time position.

Relevant skills include Data Analysis, SQL, Python, Pandas, Reporting, Analytics, Business Intelligence, and Data Validation.

If you enjoy turning data into insights that help teams make better decisions, this role is worth consideration.