Senior Data Analyst

Instructure
Summary
Join Instructure's dynamic Product Management team as a Senior Product Data Analyst and leverage data to shape the future of education. You will be a key player in driving data-informed decisions, partnering with product managers, engineers, and designers. Responsibilities include diving deep into product usage data, designing robust data tracking, building compelling visualizations, conducting in-depth analyses, owning the data narrative, proactively identifying opportunities, championing data literacy, and managing end-to-end analytics projects. This role requires advanced SQL/Tableau skills, excellent communication skills, confidence in presenting to senior leaders, and a proactive mindset. Preferred qualifications include statistical analysis experience, EdTech experience, product analytics experience, and experience owning strategic projects. Instructure offers a competitive salary, comprehensive benefits, and a flexible work environment.
Requirements
- Advanced SQL/Tableau skills: You're an expert in SQL and Tableau, capable of handling complex data manipulation and creating highly sophisticated visualizations
- Excellent communication skills: You're a strong communicator, both verbally and in writing. You can clearly and concisely explain technical concepts to both technical and non-technical audiences
- Confidence and presence: You're comfortable presenting data and recommendations to VPs and other senior leaders, articulating your points clearly and persuasively
- A proactive and ownership-driven mindset: You take initiative, anticipate needs, and are accountable for delivering results. You see projects through to completion and are passionate about making a real impact
Responsibilities
- Dive deep into product usage data: Analyze user behavior, identify trends, and uncover insights that inform product strategy and feature prioritization
- Design and implement robust data tracking: Define key metrics, instrument data collection, and ensure data quality to provide a reliable foundation for analysis
- Build compelling visualizations and dashboards: Create clear, concise, and actionable dashboards and reports in Tableau and Pendo to communicate data insights to diverse audiences, including senior leadership
- Conduct in-depth analyses: Perform exploratory data analysis, A/B testing analysis, and other statistical analyses to evaluate product performance and identify opportunities for optimization
- Own the data narrative: Translate complex data findings into clear, concise, and persuasive stories that influence product decisions and drive action
- Proactively identify opportunities: Go beyond simply fulfilling requests; seek out new ways to leverage data to improve the product and the business
- Champion data literacy: Promote a data-driven culture within the product team, empowering colleagues to make informed decisions based on data
- Manage end-to-end analytics projects: Take ownership of strategic analytics projects from inception to completion, ensuring timely delivery and high-quality results
Preferred Qualifications
- Statistical analysis experience: You have experience with statistical analysis techniques (e.g., hypothesis testing, regression analysis) using Python or a similar statistical programming language
- Edtech experience: You have a background in the education technology industry and understand the unique challenges and opportunities in this space
- Product analytics experience: You have a proven track record of working as a product analyst, driving product decisions with data, including experience with Pendo or similar product analytics tools
- Experience owning strategic projects: You've successfully managed complex analytics projects from start to finish, demonstrating strong project management and problem-solving skills
Benefits
- Competitive salary and 401k
- Medical, dental, disability, and life insurance
- HSA program, vision, voluntary life, and AD&D
- Tuition reimbursement
- Paid time off, 11 paid holidays, and flexible work schedules
- LifeStyle Spending Account
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