Job Description
Are you a detail-oriented data enthusiast looking for a flexible opportunity in Albuquerque, NM?
We are currently seeking a Part-Time Data Analyst to join our high-performing team. In this role, you will bridge the gap between raw data and strategic decision-making, helping us uncover insights that drive business growth. This position offers a competitive hourly rate and a schedule that accommodates your lifestyle while allowing you to work with cutting-edge analytical tools.
What You'll Do:
- Collect, clean, and interpret complex datasets to support key business objectives.
- Develop and maintain interactive dashboards and reports using Tableau and Power BI.
- Perform statistical analysis to identify trends, patterns, and anomalies in performance.
- Collaborate with cross-functional teams to define data requirements and reporting needs.
- Ensure data accuracy, integrity, and compliance with organizational standards.
Qualifications:
- Bachelor’s degree in Mathematics, Statistics, Computer Science, or a related field.
- Proven experience with SQL for querying databases and extracting datasets.
- Proficiency in programming languages such as Python or R.
- Experience with data visualization tools (Tableau, Power BI, or Looker).
- Strong problem-solving skills and an analytical mindset.
Apply today to start your journey with Stratosphere Analytics!
Responsibilities
- Collect, clean, and validate data from various sources to ensure accuracy.
- Design and implement intuitive dashboards and reports using Tableau and Power BI.
- Perform statistical analysis to identify key trends, patterns, and anomalies.
- Collaborate with stakeholders to define data requirements and reporting needs.
- Document data processes and methodologies for team reference.
- Monitor key performance indicators (KPIs) and provide actionable recommendations.
Qualifications
- Bachelor’s degree in Information Technology, Statistics, or a related field (or equivalent experience).
- Proven experience with SQL for querying databases and extracting datasets.
- Proficiency in Python or R for data manipulation and analysis.
- Experience with data visualization tools (Tableau, Power BI, or Looker).
- Strong attention to detail and excellent problem-solving skills.
- Ability to communicate complex data findings to non-technical audiences.