Data and Analytics Manager

In this role, you will be responsible for overseeing the day-to-day operations of a Quest Data and Analytics team. This people leader role is a technical one, with the expectation of leading through doing. This includes not only working across departments to ensure the Data and Analytics team's projects are clearly defined and ready to be worked on, but also participating in the cleaning, analyzing, and reporting of Quest Data to both internal stakeholders and outside clients.

• Hands-on technology leader who oversees processes relating to data collection, cleansing, analyzing, and reporting
• Ensuring deliverables (e.g., client outcomes reports, operational dashboards, and Quarterly Business Review presentations) are high quality and produced on time
• Prioritize the team's backlog
• Lead scrum meetings (e.g., daily stand-ups, refinements, and retros)
• Present research and outcomes findings that tell a story to both internal and external stakeholders
• Identify areas to increase department as well as company efficiency
• Encourage professional development and growth of reporting team

Required WorkExperience:

• 5+ years of industry specific experience plus 1+ years of management experience

Preferred Work Experience:

• 10+ years of industry specific experience plus 5+ years management experience

Physical and Mental Requirements:

• Ability to read small print.
• Requires mobility of arms to reach and dexterity of hands to grasp and manipulate small objects.
• Performs lifting, pushing and/or pulling which does not exceed 25 pounds and is an infrequent aspect of the job.

Knowledge:

• Working knowledge of Microsoft Word, Excel, PowerPoint, Google Products, and Outlook

Skills:

• Exceptional communication skills both written and oral.
• Ability to stay organized and manage multiple projects / relationships simultaneously.
• Strong time management and the ability to work independently with minimal oversight.
• Exceptional analytical and problem-solving skills. Ability to distill down complicated data.
• Ability to work as a team, be coachable, and collaborate with key stakeholders across different functions.
• Proficient with analytical tools and programming languages (e.g., Python, R, SPSS, SQL, Looker, Tableau)

People Leader Responsibility :

• Lead a team of 4-8 Data Analysts and Data Analyst Associates