CLA (CliftonLarsonAllen)
Data Analyst Associate (Hybrid)
Join to apply for the
Data Analyst Associate (Hybrid)
role at
CLA (CliftonLarsonAllen)
CLA is a top 10 national professional services firm where our purpose is to create opportunities every day for our clients, people and communities through industry‑focused wealth advisory, digital, audit, tax, consulting, and outsourcing services.
Our Perks
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
Key Responsibilities
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.
Technical Environment and Tools
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
Profile of Success
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.
Requirements
1 year of experience preferred.
Experience with APIs, web scraping, SQL/no‑SQL databases, and cloud‑based data solutions preferred.
Education
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
Click here to learn about your hiring rights.
Referrals increase your chances of interviewing at CLA by 2x
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 more.
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Data Analyst Associate (Hybrid)
role at
CLA (CliftonLarsonAllen)
CLA is a top 10 national professional services firm where our purpose is to create opportunities every day for our clients, people and communities through industry‑focused wealth advisory, digital, audit, tax, consulting, and outsourcing services.
Our Perks
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
Key Responsibilities
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.
Technical Environment and Tools
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
Profile of Success
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.
Requirements
1 year of experience preferred.
Experience with APIs, web scraping, SQL/no‑SQL databases, and cloud‑based data solutions preferred.
Education
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
Click here to learn about your hiring rights.
Referrals increase your chances of interviewing at CLA by 2x
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 more.
#J-18808-Ljbffr