Data Analyst Senior

CLA (CliftonLarsonAllen)•Milwaukee, WI

About The Position

CLA is growing and seeking to hire an experienced Data Analyst Senior to join our talented Information Technology team. The position offers growth, flexibility and a collaborative work environment. 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. They gain greater autonomy in creating solutions and may guide others, undertake administrative duties, fulfill support roles, and engage in new business development. How you’ll create opportunities in this Data Governance Senior role: 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: Develops 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. Seamless Client Service: Leverage a comprehensive understanding of CLA's range of services to provide clients with integrated and seamless service offerings and make recommendations for business development. Subject Matter Expertise: Develop deep knowledge of the data and business challenges faced by stakeholders. Mentorship: May review and delegate the work of Associates. May act as a Peer Advisor and/or Career Coach to assist other family members in growing their inspired careers.

Requirements

4 years of relevant experience required.
Familiarity with Azure, AWS, or GCP data services (e.g. Azure Data Factory, Databricks, Snowflake)
Ability to code in languages such as SQL, Python, M, DAX, etc. for data analysis and querying across databases.
Bachelor's degree or a combination of relevant experience and training may be considered in lieu of a degree.
Field of Business, Accounting, Finance, Economics, Analytics, or Data Science is preferred.
Proficiency in Microsoft Outlook and Office products (Teams, Excel, Word, etc.).
Proficiency with Power BI, Power Apps, and Alteryx and the ability to create visualizations, applications, and dashboards.
Ability to code in languages such as SQL, Python, M, DAX, etc. for data analysis and querying across databases
Understanding of conceptual, logical, and physical data models.
Familiarity with Azure, AWS, or GCP data services (e.g., Azure Data Factory, Databricks, Snowflake).
Ability to extract data from potentially disparate data sources in order to support a data product or solution.
Understanding of utilizing Key Performance Indices (KPIs) within relevant industries and services.
Ability to create descriptive analyses using Jupyter, RMarkdown, or similar technology.
Ability to code in M, DAX, R, and other languages.

Nice To Haves

Power BI Data Analyst Associate (PL-300) preferred

Responsibilities

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.
Develops 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.
Leverage a comprehensive understanding of CLA's range of services to provide clients with integrated and seamless service offerings and make recommendations for business development.
Develop deep knowledge of the data and business challenges faced by stakeholders.
May review and delegate the work of Associates.
May act as a Peer Advisor and/or Career Coach to assist other family members in growing their inspired careers.