Data Analyst Associate

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. CLA is currently seeking a Data Analyst Associate to join our growing Data team. How you’ll create opportunities in this Data Analyst Associate role: Under general guidance, this role makes use of the Microsoft Power Platform or a scripting language to clean up data for analysis and/or visual display in a report or dashboard, and they work out details regarding data access to support a project. Essential Job Functions 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 a variety of Data Analytics team members, gain exposure to developing custom data models and algorithms to apply to data sets. Gain experience with 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 and end users. Seamless Client Service: Develop a comprehensive understanding of CLA's range of services to provide clients with integrated and seamless service offerings. Requirements No prior experience is required. 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.

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