Data Analytics Senior – Analytics and Innovation

Requirements

• Identify analytic ideas in collaboration with team members to meet business objectives.
• Develop and deliver analytic solutions to improve efficiency and effectiveness.
• Provide teams with methodological assistance using data science tools, machine learning, and prompt engineering.
• Make recommendations for the team's data needs and provide data analytic support for projects as needed.
• Perform data retrievals and assessments, sampling on large data sets, and identify patterns and exceptions independently.
• Design data analytics queries, tools, visualizations, and methods.
• Determine development requirements, designs, codes, tests, and analyze results to provide support using available tools and infrastructure.
• Manage relationships, development of business requirements, and communication with key stakeholders.
• Facilitate the identification of opportunities to utilize data analyses to optimize business outcomes.
• Develop innovative, reusable data analytics that can be leveraged by DEN.
• Analyze the results of data analyses performed and make recommendations for review by the data analytics supervisor on potential opportunities based on those results.
• Effectively utilize data analysis tools and methodologies, including data science, machine learning, and prompt engineering, while mentoring junior staff in their application and development.
• Engage in and support all aspects of the Agile Development Process utilized by the Operations Analytics Team.
• Perform other related duties as assigned.

Benefits

• A guaranteed life-long monthly pension, once vested after 5 years of service
• 457B Retirement Plan
• 140 hours of PTO earned within first year + 12 paid holidays, 1 personal holiday, 1 wellness day, and 1 volunteer day per year
• Competitive medical, dental and vision plans effective within 1 month of start date