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Instructure

Sr. Data Analyst

Sorry, this job was removed at 08:14 p.m. (CST) on Thursday, May 29, 2025
Remote
Hiring Remotely in US
Remote
Hiring Remotely in US

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 At Instructure, we believe in the power of people to grow and succeed throughout their lives. Our goal is to amplify that power by creating intuitive products that simplify learning and personal development, facilitate meaningful relationships, and inspire people to go further in their education and careers. We do this by giving smart, creative, passionate people opportunities to create awesome.

And that's where you come in: Instructure is seeking a highly skilled and experienced Senior Data Analyst to join our Enterprise Systems team. In this role, you will be at the intersection of business and data, responsible for delivering robust, efficient, and integrated data models and products that drive key business decisions. You will partner with teams across the company to provide data-driven insights and solutions, translating business needs into actionable data strategies. The ideal candidate possesses a strong blend of business acumen and technical expertise, enabling them to seamlessly transition between business strategy and data development. This individual is responsible for driving understanding and decision-making from data, working with stakeholders at all levels.

What you will be doing:

  • Utilize SQL, dbt, Snowflake, and other tools to extract, process, and analyze data to meet business needs.
  • Collaborate to gather requirements, define analytics outcomes, and design and develop data models (including extending the Enterprise Dimensional Model using dbt).
  • Ensure code quality and maintainability through adherence to standards, code reviews, and providing data modeling expertise to teams.
  • Evaluate compliance reporting needs and build data infrastructure for efficient self-service reporting.
  • Balance multiple workstreams, influence cross-functionally, and manage priorities to maximize organizational impact.
  • Establish relationships with stakeholders to identify opportunities for governance and collaboration.
  • Build metrics, data models, dashboards, and reports to inform business decisions, and deliver actionable recommendations through data analysis and storytelling.
  • Perform data analysis to identify issues, determine root causes, and implement solutions.
  • Translate complex business problems into scalable analytical frameworks.
  • Design, develop, implement, and maintain data models, reports, and dashboards.

What you will need to know/have:

  • BS in a technical field (e.g., CS, IS, Math, Statistics, or Finance) preferred.
  • Positive, solution-oriented mindset with strong self-management and organizational skills.
  • 3+ years of experience as a Data Analyst or equivalent.
  • Proficiency in Snowflake and dbt.
  • Strong communication skills to convey complex information and recommendations.
  • Experience in business subject areas such as marketing, finance, sales, product, customer success, support, engineering, or people.
  • Proven ability to analyze, review, diagnose, document, and quality-check results.

You'll Thrive If:

  • You enjoy autonomy, crafting scalable data models, and problem-solving.
  • You are proactive, insightful, and enjoy sharing knowledge.
  • You have a growth mindset, embrace challenges, and collaborate effectively.
  • You are comfortable with ambiguity and can gather and define requirements.
  • You are solution-oriented, empathetic, and strive for personal and professional growth.

Get in on all the awesome:

  • We offer competitive, meaningful benefits in every country where we operate. While they vary by location, here's a general idea of what you can expect:
  • Competitive compensation and participation in Instructure’s equity program
  • Flexible schedules and a remote-friendly culture, with hybrid or onsite work based on business needs
  • Generous paid time off, including global holidays and our annual “Dim the Lights” company-wide shutdown from December 26 to December 31
  • Comprehensive wellness programs and mental health support
  • Annual learning and development stipends to support your growth
  • We provide the technology and tools you need to do your best work—typically a Mac, with PC options available in some locations
  • A culture rooted in inclusivity, support, and meaningful connection

We’ve always believed in hiring the most awesome people and treating them right. We know that the more diverse we are, the more diverse our ideas will be — and when we openly welcome those ideas, our environment is better and our business is stronger.

All Instructure employees are required to successfully pass a background check upon being hired.

Instructure Chicago, Illinois, USA Office

130 E Randolph Street, #1800, Chicago, IL, United States, 60601

What you need to know about the Chicago Tech Scene

With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.

Key Facts About Chicago Tech

  • Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
  • Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
  • Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
  • Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory

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