Sr. Product Insights Analyst role is critical to driving the growth and success of our rapidly expanding Ed-Tech company, Sophia Learning. This role will partner with the Product and Engineering teams to shape the learner experience on our proprietary platform by designing, launching, and analyzing the results of multivariate A/B tests for new product features and enhancements. You’ll use click-level platform data to uncover deep insights that enable a granular understanding of user behavior and patterns to help inform opportunities for net-new feature development and redesign. This role will be ideal for a self-motivated individual who thrives in a fast-paced environment, is comfortable with ambiguity, relentless in their pursuit of solving difficult problems, enjoys answering complex questions, and is experienced in translating complex data into simple narratives. This person will be instrumental in helping to shape and define the near- and long-term strategies at Sophia Learning.

Essential Duties & Responsibilities:

• Design, launch, and analyze sound A/B test strategies for new product features, engagement strategies, and onboarding improvements.
• Uncover learner behavior using click, engagement and subscription data to identify opportunities for retention, platform experience, and onboarding improvements.
• Define key metrics and success measures for new product launches and track them over time.
• Interpret key results to guide rollout recommendations, test iterations, and future platform enhancements.
• Collaborate cross-functionally with Product, Engineering, Marketing, Operations, and Academics to ensure a sound understanding of how user behaviors impact and serve as inputs to our data ecosystem
• Identify, visualize, and extract Key Performance Indicators (KPIs) to aid in key decision-making strategies and the development of impactful action plans.
• Effectively communicate key insights to the senior leadership teams and facilitate understanding for both data-savvy and non-savvy audiences, pulling together a succinct “data story”.
• Use best-in-class techniques to build robust Power BI reports that allow a variety of teams and partners the opportunity to self-serve accurate and meaningful data stories and trends.
• Respond to ad-hoc requests from various stakeholders while prioritizing the appropriate work in a fast-paced business environment.
• Be a mentor and leader to junior analysts – including assisting in code development and review, Power BI reporting strategies, and providing A+ consulting advice and feedback.
• Having both a flexible and agile mindset will be critical to success in this fast-paced, dynamic, and growing business.

Job Skills:

•  Motivated, organized, and adaptable self-starter, comfortable in a fast-paced and evolving environment.
• Ability to answer loosely defined business requests using complex datasets and statistical techniques.
• Proven record of client service, successfully delivering timely and insightful projects to key clients. Strong consulting skills to listen to client needs and adapt approach to meet new requirements.
• Comfortable with ambiguity and balancing multiple tasks with minimal supervision.
• Strong leadership traits and ability to train and mentor junior analysts. 
• Ability to turn large datasets into actionable opportunities through advanced data manipulation and extraction techniques.
• Strong understanding of analytic tools and one or more programming languages.
• Experience querying databases to build actionable data visualizations from enterprise data visualization software such as: Power BI or Tableau.
• Possess advanced Excel skills (advanced formulas, pivot tables, charts), and the ability to learn on the fly.
• Ability to construct test design and perform ad-hoc statistical analysis to measure the impact of strategic business initiative.
• Experience with Salesforce data and reports a plus.
• Experience with python and BigQuery a plus.
• Experience with subscription-based data a plus.
• Experience with platform behavior data a plus.

Work Experience:

• 4+ years of experience working in a consultative-style data-driven business analytics role required. 
• 2+ years or experience working in a SaaS based business supporting product analytics preferred.

Education:

• Bachelor’s degree in related fields (Business, Economics, Statistics, Data Analysis, Data Science) or relevant work experience in a fast-paced growth industry required.
• Master’s degree in business-focused disciplines preferred.

Other:

• Must be able to travel occasionally should a business need arise. For most roles travel would not be common. Travel may involve plane, car or metro. In accordance with ADA policies, reasonable accommodations regarding travel limitations can be provided. Travel will be more common for roles such as Account Executives (25 - 50%), senior leaders (10 – 20%) or Capella Core Faculty (5 – 10%). 
• Ability to work onsite in Corporate or Campus location (in a typical office environment) may be required based on role. If so, this would include being mobile within the office, including movement from floor-to-floor using elevators or stairs.
• If offsite or hybrid role, must have access to work in setting which enables meeting all requirements of the role (including privacy, reliable internet access, phone, ability to video conference, etc.) at a remote location.
• Faculty and Federal Work Study roles require access to work in setting which enables meeting all requirements of the role (including computer, privacy, reliable internet access, phone, ability to video conference, etc.) at a remote location.
• This role may require lifting, however reasonable accommodations will be provided in accordance with our ADA policies.
• Must be able to meet critical thinking and problem solving aspects aligned to job duties, as well as effectively communicating with co-workers.
• Must be able to work more than 40 hours per week when business needs warrant. Accommodations related to schedule may be considered. 
• Able to access information using a computer.
• Other essential functions and marginal job functions are subject to modification.

#LI-SW1