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Senior Data Analyst
CLA (CliftonLarsonAllen)Senior Data Analyst developing data models, dashboards, predictive analytics, and AI solutions. Supporting CLA’s wealth advisory, audit, tax, consulting, and outsourcing clients.
Posted 8/5/2026full-timeDallas • Arizona, California, Colorado, Minnesota, Texas • 🇺🇸 United StatesSenior💰 $99,000 - $155,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analytics, predictive analytics, machine learning, and artificial intelligence, with proficiency in Microsoft Power Platform and programming languages such as Python and R. Capable of collaborating with clients and team members while performing administrative and business development tasks.
Highest-signal resume keywords
Data AnalyticsPredictive AnalyticsMachine LearningMicrosoft Power PlatformPython
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data CleaningData AnalysisData VisualizationData ModelsAlgorithmsArtificial IntelligenceDAXMRAlteryx
Soft Skills
Client ServiceCollaborationCommunicationAdministrative SupportBusiness Development
Tools & Technologies
Microsoft Power AppsMicrosoft Power BIMicrosoft Power AutomateExcel
Industry Keywords
Public AccountingFinancial ConsultingEconomicsData ScienceAnalytics
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Develop service-specific knowledge through exposure to peers, internal experts, clients, self-study, and formal training
- Participate in collecting and analyzing data using various data tools
- Support the Data Analytics team in building and implementing solutions for external clients and internal projects
- Assess the effectiveness and accuracy of new data sources and data-gathering techniques
- Develop custom data models and algorithms for datasets
- Develop predictive analytics, machine learning, and artificial intelligence techniques
- Monitor and analyze solution performance and accuracy
- Communicate findings to team members
- Collaborate virtually with leadership and colleagues from other offices
- Serve as a primary contact with clients or business leaders on internal projects
- Take on administrative and support roles
- Participate in new business development
Requirements
What you’ll need- Four (4) years of experience in data analytics, public accounting, financial consulting, computer science, or a related field required
- Five years of experience preferred
- Bachelor's degree 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 preferred
- Experience with Microsoft Power Platform, including Power Apps, Power BI, and Power Automate
- Experience with Excel, DAX, M, R, Python, and Alteryx
- Knowledge of data cleaning, analysis, visualization, data access, data models, algorithms, predictive analytics, machine learning, and artificial intelligence
- Ability to work individually and collaboratively
- Ability to perform client service, administrative, support, and business development responsibilities
Benefits
Comp & perks- Health insurance
- Dental insurance
- Vision insurance
- 401(k)
- Comprehensive benefit options
- Career growth opportunities
- Formal training opportunities
- Choice of industry specialization, service capability, career path, and mobility
- Opportunities to develop leadership skills