Data Analyst Senior

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.

CLA is dedicated to building a culture that invites different beliefs and perspectives to the table, so we can truly know and help our clients, communities, and each other.

About the role

CLA is looking to hire a Data Analyst Senior; you will make use of the Microsoft Power Platform, or a scripting language like R or Python. The Data Analyst Senior cleans up data for analysis and/or visual display in a report or dashboard, or they work out details regarding data access to support a project. Our Data Analysts favorite tools are the Power Platform (Power Apps/Power BI/Power Automate), Excel, DAX, M, R, and Alteryx. In contrast to an Associate, the Senior will develop more autonomy to develop solutions and may lead others, take on administrative tasks, perform support roles, and get involved in new business development.

As a Data Analyst Senior, you will:

•Service Specialization: Develop service specific knowledge through greater exposure to peers, internal experts, clients, regular self-study, and formal training opportunities. Gain exposure to a variety of client situations to develop business skills. Retain knowledge gained and performance feedback provided to transfer into future work. Approach all problems and projects with a high level of professionalism, objectivity and an open mind to new ideas and solutions.

•Data Analysis: Participate in the collection and analysis of data using a variety of data tools. Together with the Data Analytics team, support the building and implementing of solutions for external clients and internal projects. Assess the effectiveness and accuracy of new data sources and data gathering techniques.

•Data Development: Working under the guidance of Data Analytics team leaders to develop custom data models and algorithms to apply to data sets. Develop predictive analytics, machine learning, and artificial intelligence techniques. Use existing processes and tools to monitor and analyze solution performance and accuracy and communicate findings to team members.

•Collaboration: Work individually as well as in collaboration with others. Interaction with others will primarily be virtual with leadership and colleagues from other offices. Take on additional roles beyond technical development and client service that may include: serving as primary contact with clients or business leaders on internal projects, take on administrative tasks, perform support roles, and get involved in new business development.

What you will need:

Experience

•Four (4) years of experience in data analytics, public accounting, financial consulting, computer science or related field required. Five years is preferred.

Education

•Bachelor's degree is required. Combination of relevant experience, education, and training may be accepted in lieu of degree. Degree in Business, Accounting, Finance, Economics, Analytics, or Data Science is preferred.

Our approach to compensation emphasizes collaboration and career growth. We pay competitive wages and view compensation as an investment in our people. Factors such as geography, experience, education, skills, and knowledge may impact position of pay within the range. These same factors may cause starting pay to be below or above the posted range.

Posting Ranges:

• Denver: $104,000 - $150,000
• Minneapolis: $99,000 - $145,000
• Sacramento: $107,000 - $155,000

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Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

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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.

To view a complete list of benefits, click here.