Job Description
Are you a detail-oriented data enthusiast looking for a role that offers the perfect work-life balance? Nashville Analytics Group is seeking a skilled Data Analyst to join our dedicated weekend operations team. In this pivotal role, you will ensure the integrity of our datasets and provide critical insights that drive our weekend business strategy. If you are passionate about transforming raw numbers into actionable strategies and thrive in a flexible environment, we want to hear from you.
Our team is committed to excellence, and we are looking for someone who can maintain high standards of accuracy while working independently during off-peak hours. You will be the backbone of our reporting cycle, working closely with our core team to deliver data-driven solutions that keep our clients ahead of the curve.
Responsibilities
- Execute comprehensive data cleaning and preprocessing tasks to ensure high-quality reporting.
- Develop and maintain interactive dashboards using visualization tools to track key performance indicators (KPIs).
- Collaborate with cross-functional teams to gather analytical requirements and deliver tailored solutions.
- Perform ad-hoc analysis to support operational decision-making and identify trends during the weekend.
- Ensure strict data accuracy and compliance with internal governance and security policies.
- Document complex methodologies and findings to support continuous improvement and knowledge sharing.
Qualifications
- Bachelor’s degree in Data Science, Statistics, Mathematics, or a related quantitative field.
- 2+ years of professional experience in data analysis or business intelligence.
- Proficiency in SQL for querying databases and extracting complex datasets.
- Advanced Excel skills, including pivot tables, VLOOKUP, and complex formulas.
- Experience with visualization tools such as Tableau, Power BI, or Looker.
- Strong analytical mindset with the ability to interpret complex data sets and derive insights.
- Ability to work a weekend schedule (Saturday and Sunday) with high reliability and flexibility.