Data Analyst
The Data Analyst at Confidential Client supports business decision-making by preparing, analyzing, and visualizing data across multiple business areas including Finance and Supply Chain. This entry-level role involves collaborating with experienced analytics professionals to develop reports, dashboards, and insights using tools like SQL, Python, and Power BI, while fostering continuous learning and application of innovative analytical techniques in a hybrid work environment.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, a Data Infrastructure & Analytics (Technology) company.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
What You’ll Do
Confidential Client is seeking an entry-level Data Analyst to join a Global Analytics & Decision Sciences team in a hybrid role based in Norman, OK. You will work with analysts, BI professionals, data scientists, and business stakeholders to prepare and analyze data, develop reports and visualizations, and communicate actionable findings that improve business decisions.
- Support exploratory and descriptive analyses to identify trends, patterns, and anomalies
- Prepare, clean, validate, and combine data from multiple sources
- Build and maintain Power BI dashboards, reports, and datasets
- Use SQL and an analytical language (Python or R) to query, transform, and analyze data
- Automate routine tasks and support testing/validation of analytical solutions
- Document methods, assumptions, data sources, and recurring processes
- Present findings clearly for technical and nontechnical audiences
- Partner with cross-functional teams (Supply Chain, Finance, Sales, Product, Pricing) to deliver insights
- Learn and apply responsible AI concepts and approved AI tools where appropriate
Key Responsibilities
- Work with stakeholders to document requirements and define expected outcomes
- Gather, clean, and validate data to prepare for analysis
- Develop visualizations and written summaries to communicate results
- Define, calculate, and validate business metrics and KPIs
- Perform data-quality checks and investigate inconsistencies
- Contribute to ongoing team learning, reviews, and documentation
- Manage assigned tasks, report progress, and incorporate feedback
Required Qualifications
- Bachelor’s degree completed or nearly completed in Data Science, Business Analytics, Statistics, Mathematics, Economics, Finance, Computer Science, Information Systems, Engineering, or a related quantitative field
- Foundational SQL experience (academics, internships, projects, or employment)
- Foundational experience with an analytical programming language (Python or R)
- Familiarity with Power BI, Tableau, or similar BI tools
- Working knowledge of Microsoft Excel for organizing and summarizing data
- Basic understanding of descriptive statistics, data validation, and AI concepts
- Strong analytical thinking, attention to detail, and clear communication skills
- Collaborative mindset and eagerness to learn business context and tools
Preferred Qualifications
- Experience building dashboards or reports in Power BI or Tableau
- Exposure to data preparation, data modeling, ETL, or dimensional modeling
- Experience with Python libraries such as pandas, NumPy, scikit-learn
- Familiarity with relational databases, cloud data platforms, APIs, or Git
- Coursework or projects involving predictive analytics, generative AI, or machine learning
- Portfolio, GitHub, capstone, or work samples demonstrating analytical ability
- Experience presenting technical work to peers or business audiences
What Success Looks Like
- Demonstrates understanding of the team’s business areas, data sources, and reporting standards
- Completes assigned analyses and reports with appropriate guidance
- Shows consistent attention to data quality and business definitions
- Documents work clearly so it can be reviewed and maintained
- Applies feedback and exhibits measurable growth in technical skills and business understanding
- Progresses from supporting tasks to independently completing smaller analyses and report enhancements
Compensation & Location
- Location: Hybrid — Norman, OK (onsite expectations as defined by the hiring team)
- Expected base salary: $53,000 to $70,000 USD
- Expected on-target earnings (where applicable): $58,000 to $85,000 USD
The expected pay is determined by factors including experience in the practice area. Employees may be eligible for bonus/variable pay where applicable.
About Our Client
Confidential Client is a global data infrastructure and analytics company that helps organizations automate, optimize, and innovate with data. The team values diversity, learning, and making measurable business impact. You’ll join a collaborative environment focused on growth, mentorship, and responsible use of analytical and AI tools.
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.
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