Junior Data Analyst
Currie & Brown
Phoenix, AZ0–2 yrs2h agovia LinkedIn
This job at a glance
- Who can apply
- New grads and up to 2 years · Bachelor's degree
- Must know
- Data analysisPythonPower BIData visualizationStakeholder managementStatistics
- Nice to have
- SQLAzure
- Work
- On-site in Phoenix
- Pay
- Not stated by the employer.
- Listed
- Nov 11, 2026 · still open
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About the Role
Currie & Brown is seeking a Junior Data Analyst to support a major semiconductor client on-site in Phoenix, Arizona. This role will focus on delivering high-quality data management, analysis, and reporting, transforming complex project data into clear, actionable insights.
Key Responsibilities
- Utilizing Python and SQL to extract, normalize, analyze, and manage large and complex datasets.
- Developing and maintaining Python scripts for data manipulation, cleansing, and normalization.
- Creating visualizations, reports, and interactive dashboards using Power BI and Microsoft Fabric to communicate meaningful insights.
- Collaborating with cross-functional teams to understand business needs and translate them into valuable data insights and reporting solutions.
- Ensuring data integrity, quality, and security through effective database management practices.
- Supporting the development and maintenance of reliable data models, reporting structures, and automated data workflows.
- Identifying opportunities to improve data processes, reporting efficiency, and overall data quality.
- Collaborating with other data analysts and software professionals.
Requirements & Tech Stack
- Proficiency in SQL, Python, and Power BI.
- Demonstrated ability to manage, analyze, and interpret complex datasets.
- Strong analytical and problem-solving skills with exceptional attention to detail and accuracy.
- Ability to collect, organize, and communicate significant amounts of information in a clear and meaningful way.
- Excellent communication and presentation skills, with the ability to explain complex data concepts to both technical and non-technical stakeholders.
- Strong collaboration skills and the ability to work effectively across multidisciplinary teams.
Qualifications
- Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field.
Preferred Experience
- Experience with Microsoft SQL database maintenance.
- Knowledge of data lakes, data warehousing, and associated best practices.
- Experience with Azure Functions and cloud-based automation of data flows.
- Experience with data importing, preprocessing, normalization, and cleansing methodologies and tools.
- Experience with Microsoft Fabric and modern cloud-based data environments.