Data Analyst Associate; Hybrid

CLA is a top 10 national professional services firm where our purpose is to create opportunities every day for our clients, our people, and our communities through industry‑focused wealth advisory, digital, audit, tax, consulting, and outsourcing services. Even with more than 8,500 people, 130 U.S. locations, and a global reach, we promise to know you and help you.

• Flexible PTO (designed to offer flexible time away for you!)
• Up to 12 weeks paid parental leave
• Paid Volunteer Time Off
• Mental health coverage
• Quarterly Wellness stipend
• Fertility benefits
• Complete list of benefits here

This role constructs complex solutions that integrate data wrangling, visualization, and advanced modeling techniques into a seamless workflow using software development best practices in Python, R, or other scripting languages. The role includes working within modern data platforms, such as Databricks, to develop and optimize scalable data pipelines and machine learning models, automating business workflows and answering business questions to improve CLA by integrating ML or AI algorithms into our decision‑making processes, and working with and building AI/ML models, including utilizing and/or tuning Large Language Models (LLMs).

• Collect, clean, and analyze data using Python.
• Transform and prepare data for analysis using Python libraries such as pandas and numpy.
• Support model development and testing under the guidance of senior data scientists.
• Develop visualizations using matplotlib, seaborn, or plotly to communicate findings.
• Contribute to AI and machine learning projects through data preparation and validation tasks.
• Work in collaborative environments using Git, Databricks, and other modern data tools.
• Document analytical processes clearly and maintain accurate records of analysis and results.
• Engage in ongoing learning to build deeper expertise in data science tools and methods.

• Python (pandas, numpy, matplotlib, seaborn, scikit‑learn)
• SQL for data extraction and querying
• Databricks or other cloud data platforms
• Git for version control and collaboration

• Naturally curious and eager to solve problems using data.
• Comfortable learning programming and analytical methods.
• Interested in progressing toward data science and machine learning roles.
• Excited to work in a collaborative, code‑based analytics environment.

• 1 year of experience preferred
• Experience with APIs, web scraping, SQL/no‑SQL databases, and cloud‑based data solutions preferred.

• Bachelor's degree is required. Combination of relevant experience, education, and training may be accepted in lieu of degree.
• Degree in a field of Statistics, Computer Science, Economics, Analytics, or Data Science (e.g., Informatics, Data Science, Health Data Science) preferred.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities.

Wellness at CLA:
To support our CLA family members, we focus on their physical, financial, social, and emotional well‑being and offer comprehensive benefit options that include health, dental, vision, 401k and much more.