Data Analytics Student
Listed on 2026-01-17
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IT/Tech
Data Analyst
Overview
The Data Analytics Student is responsible for developing, implementing, and maintaining analytical solutions to support the business objectives of Parkhill. This role involves generating reports, creating dashboards, and performing detailed data analysis to provide actionable insights that drive strategic decision-making. This is a part-time position paid bi‑weekly on an hourly basis.
Life at Parkhill
At Parkhill, Building Community is the reason we exist. We invest in extraordinary people who love investing in their communities. We are more than planners, architects, and engineers - we are neighbors who choose to live and work in the communities we serve.
Increase your impact with our team of passionate collaborators. Whether you are a recent graduate with untapped potential or a professional with proven experience, we invite you to discover a career path designed for you.
Parkhill is one of the largest architectural and engineering firms in the Southwest with 14 offices located throughout Texas, New Mexico, and Oklahoma.
Responsibilities- Develop and maintain regular and ad‑hoc reports
- Create and manage dashboards to visualize key performance indicators (KPIs)
- Analyze data to identify trends, patterns, and insights
- Work closely with department heads to understand their data needs and provide customized solutions
- Present findings and recommendations to stakeholders in a clear and concise manner
- Collaborate with IT and other teams to ensure data accuracy and integrity
- Ensure data quality by performing data cleansing and validation
- Integrate data from multiple sources to provide a comprehensive view
- Maintain documentation of data sources, methodologies, and processes
- Stay current with industry trends and best practices in data analysis
- Identify opportunities to improve reporting processes and data management practices
- Participate in training and professional development activities
- Actively enrolled in a Bachelor's degree in Data Science, Statistics, Computer Science, Business Administration, or a related field
- Passionate about data and learning
- Strong analytical and problem‑solving skills
- Excellent communication and presentation skills
- Attention to detail and a commitment to data quality
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