Data Analyst Senior

CLA (CliftonLarsonAllen)•St. Louis, MO

About The Position

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.

Requirements

Four (4) years of experience in data analytics, public accounting, financial consulting, computer science or related field required.
Bachelor's degree is required.
Combination of relevant experience, education, and training may be accepted in lieu of degree.

Nice To Haves

Five years of experience is preferred.
Degree in Business, Accounting, Finance, Economics, Analytics, or Data Science is preferred.

Responsibilities

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.
Participate in the collection and analysis of data using a variety of data tools.
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.
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.
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.