Data Analyst

Catalyst Central, a dynamic data-driven company in Charlotte, NC, is seeking a full-time Data Analyst. In this role, you'll be at the core of our data operations, transforming raw data into actionable insights.

Your daily tasks will include analyzing complex data sets to identify trends, creating detailed reports, and presenting findings to stakeholders. You'll collaborate closely with cross-functional teams to ensure data accuracy and accessibility.

As a Data Analyst at Catalyst Central, you'll join a collaborative team in an open work environment in Charlotte, NC. This setting encourages creativity and innovation, offering ample opportunities for professional growth.

The compensation range is attractive, from $130,000 to $184,713 per year, along with comprehensive benefits that include health insurance, retirement plans, and paid time off. Specific benefit details are not provided, but the role offers a attractive compensation and a range of perks to support the employee's overall well-being and financial security. The position requires a strong background in project management, with a focus on delivering high-quality results within tight deadlines.

Candidates should be proficient in project management software such as Microsoft Project or Asana, and have experience working in a fast‑paced, collaborative environment. The workplace is modern and equipped with the latest technology, including high‑speed internet, ergonomic furniture, and access to cloud‑based tools and resources. The role is ideal for a detail‑oriented professional seeking to make a significant impact in a dynamic and collaborative workplace.

You should have a strong background in data analysis, with experience using tools like SQL, Excel, and Tableau. A degree in a related field is preferred, and proficiency in Python or R is a plus. Strong communication skills and a knack for problem-solving are essential.

Analyze complex data sets, create detailed reports, present findings to stakeholders

Background in data analysis, experience with SQL, Excel, and Tableau, degree in related field preferred, proficiency in Python or R a plus, strong communication skills, problem-solving skills