JOB SUMMARY

We are seeking a detail-oriented and analytical Data Analyst to join our dynamic team. The ideal candidate will be responsible for interpreting data, analyzing results, and providing ongoing reports to support decision-making processes. This role requires a strong understanding of data analysis techniques and tools, as well as the ability to communicate findings effectively to stakeholders.

SKILLS

• Proficiency in SQL for querying databases and performing data analysis tasks.
• Experience with analytics tools such as Tableau, Power BI, or Looker for data visualization.
• Strong knowledge of ETL processes and tools like Talend for data integration.
• Familiarity with programming languages including R, Python, VBA, and Bash (Unix shell) for automation and analysis tasks.
• Understanding of linked data concepts and their application in business contexts.
• Excellent analytical skills with a keen attention to detail for accurate reporting.
• Strong project management capabilities within an Agile framework to drive initiatives forward effectively.
• Ability to communicate complex findings in a clear manner to both technical and non-technical stakeholders. Join our team as a Data Analyst where you will play a crucial role in driving data-driven decisions that enhance our business operations!
  Job Types: Full-time, Contract
  Pay: Up to $130,000.00 per year
  Work Location: Hybrid remote in Sheridan, WY 8280

• Collect, process, and analyze data using various analytical tools and methodologies.
• Develop and maintain dashboards and reports using Tableau, Power BI, or Looker to visualize key performance indicators.
• Collaborate with cross-functional teams in an Agile environment to understand data needs and deliver actionable insights.
• Conduct business analysis to identify trends, patterns, and opportunities for improvement within the organization.
• Design and implement ETL processes to ensure accurate data extraction, transformation, and loading from various sources.
• Utilize programming languages such as R and Python for statistical analysis and data manipulation.
• Manage database design and maintenance using Microsoft SQL Server, Oracle, or other database management systems.
• Document processes using Visio for clear communication of workflows and system designs.
• Support project management efforts by tracking progress against goals and timelines throughout the Software Development Life Cycle (SDLC).