At CLA we create inspired careers.

We recognize that not everyone wants to grow their career in the same way. That's why CLA exists, to create opportunities. We promise to know you and help you.

We are seeking a Senior Data Analyst to join our growing team located in Dallas, TX.

Summary

The Data Analyst Senior makes 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.

Essential Job Functions

The below functions reflect the general details of the essential work activities and accountabilities of this position and are not all inclusive. Other activities may be assigned.

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.

Requirements:

Experience

Two to five years of experience in data analytics, public accounting, financial consulting, computer science or related field required.

Education

Bachelor's degree in a field Business, Accounting, Finance, Economics, Analytics, or Data Science (e.g., Informatics, Data Science, Health Data Science) required.

Technical Competencies:

• Experience using Microsoft applications including Excel (2016 and Power Query M and DAX languages), Power BI, Power Apps, Alteryx. Experience* using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
• Understand the domain specific nature of data being collected/analyzed and how data may be utilized to satisfy project objectives
• Identify potential data sources that may be useful to harness for analysis
• Identify disparate data sources to harmonize and deliver integrated solutions
• Develop service and industry specific knowledge through greater exposure to peers, internal experts, clients, regular self-study, and formal training
• Possess service and industry specific knowledge yielding higher efficiency and productive solutions
• Employ commonly used Key Performance Indices (KPIs) within relevant industries and services
• Experience with tabular data models using Power BI framework
• Create applications/dashboards using Power BI or power apps
• Create applications/dashboards using Shiny, golem, or Dash
• Transform/wrangle data using dplyr, pandas, or other packages/languages
• Understand software development concepts such as modularization, variable scoping, object-oriented vs functional programming
• Ability to code in M, DAX, R, and other languages

Practical experience beyond education required

Organizational Interfaces

Collaborate with both business and Information Technology (IT) colleagues on data projects. Takes direction from Directors, Managers, and Principals. The Data Analyst Senior will report directly to the managing principal of Outsourcing Data Analytics.

Travel Requirements

This position requires
#LI-EF1

CLA exists to create opportunities for our people, our clients, and our communities. We are a proud equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity/expression, disability status, protected veteran status, national origin, or any other characteristic protected by law.

Click here to learn about your hiring rights.