Full-Time

Senior Product Data Analyst

Edtech

Posted on 12/9/2024

WGU

WGU

Compensation Overview

$88.3k - $132.4kAnnually

+ Bonus

Senior

Salt Lake City, UT, USA

Onsite in Salt Lake City, Utah.

Category
Data Science
Data Analysis
Data & Analytics
Required Skills
Power BI
Amplitude
Python
R
SQL
Tableau
Databricks
Data Analysis
Excel/Numbers/Sheets
Google Analytics
Requirements
  • Strong SQL skills and ability to perform effective querying involving multiple tables and subqueries.
  • Strong problem-solving, quantitative, and analytical abilities.
  • Experience with business and product usage analytics.
  • Able to glean insights from data and craft a compelling story in presentation form.
  • Comfortable working across functions and teams to gather data.
  • Understand customer personas, market segments, and cohorts.
  • The ability to think strategically and understand how data helps with problem-solving.
  • Creative, good-natured, and passionate about data and its support/guidance for the WGU mission.
  • Ability to manage and report data on several products and initiatives simultaneously.
  • Strong organizational skills with a high attention to detail.
  • Excellent oral and written communication skills.
  • Experience performing cohort analysis, A/B testing, retention analysis, heat mapping, funnel analysis, session replay, and user survey.
  • Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations.
  • Ability to learn new applications and platforms as needed.
  • Experience working with cross-functional teams, including Product, Engineering, and Design teams, and making technical decisions related to A/B testing, project prioritization, development, and monitoring.
  • Bachelor's degree in a related discipline
  • 6 years of related experience
  • Minimum of 4 years of product analytics experience
  • Minimum of 2 years of experience with Databricks, SQL, or other Lakehouse Platforms and querying languages
  • Experience with ThoughtSpot, Tableau, Power BI, or other visualization tools
  • Experience with web and mobile analytics tools like Pendo, Adobe Analytics, Google Analytics, Amplitude, etc.
  • Proficient in Microsoft Excel and PowerPoint
  • Proficiency in additional languages like Python or R (preferred)
  • Product Management Experience (preferred)
  • Product Analytics Certification or Analytics Degree (preferred)
Responsibilities
  • Manages metrics and data to create reports and presentations about product and business data findings using charts, graphs, tables, and other visuals to represent data in a way stakeholders can easily understand.
  • Is a subject matter expert on key metrics and user data and can craft strong strategic product recommendations.
  • Performs analysis to assess the quality and meaning of data to state trends, patterns, and predictions related to user behavior, product usage, and market trends.
  • Collaborates with product teams to identify key performance indicators (KPIs) and build metrics that measure the impact of new products on customers.
  • Develops measurement plans and interactive dashboards that create business insights through product data.
  • Design and oversee A/B tests to measure the impact of new features and improvements.
  • Executes large strategic and high-profile initiatives, creating holistic work across product portfolios and not just individual projects.
  • Acts as a coach/mentor within their team and in the Product Org and should be widely recognized as a go-to person for data-related inquiries and storytelling.
  • Monitors product health and product performance over their lifecycle and across the learner journey.
  • Gathers and analyzes learner feedback through surveys or polls using Pendo.
  • Develops and oversees small to medium-scale product analytics projects.

Company Stage

N/A

Total Funding

N/A

Headquarters

N/A

Founded

N/A