DreamBox

Seattle
201-500 employees
DreamBox is a K-8 math solution, driven by technology, that's as unique as the students and educators who use it! For district, school, classroom, & home use.

Business Intelligence Analyst

Business Intelligence Analyst

This job is no longer open

About the Role: 

In this learning-intensive role, you will provide day-to-day analytical support to the organization with an emphasis on GTM and SaaS performance measurements. You are a curious committed learner and a data power user constantly seeking efficiencies. You have a proven track record for optimizing reporting processes, seeking the right questions, and suggesting solutions leading to the highest business impact.

What You'll Be Doing:

  • Collect, interpret and analyze various data that influence GTM success
  • Own data workstreams that measure performance toward market opportunity, pricing efficiency and product offers
  • Design, develop, validate and maintain user-friendly dashboards that support GTM analytics and SaaS metrics at scale
  • Create Tableau data models including, but not limited to Salesforce connectors
  • Proactively analyze data to identify business trends and measure operational success to inform decision-making
  • Communicate data and insights clearly, distilling complexity down to its essence
  • Collaborate cross-functionally; empower and guide others to work effectively and efficiently with data
  • Create and publish monthly reporting packages for an executive audience
  • Optimize reporting processes for accuracy, repeatability and efficiency
  • QA new reporting features and implementations
  • Ad hoc analyses and reporting as needed
  • Support analyses needed for business review meetings
  • Support in managing the organization’s Tableau deployment

About You:

  • 3+ years of experience in business intelligence and analysis-specific roles, optimizing data workflows and performing quantitative analysis to aid business decisions
  • Expert Tableau skills in data modeling, blending and data visualization
  • Strong understanding of relational databases and expertise in complex SQL scripting
  • Experience working with large and disparate datasets
  • Expert skills in Microsoft Excel and spreadsheet modeling
  • Proficiency in R, Python, or other data analytic tools is a plus
  • High attention to detail and accuracy
  • Excellent analytical abilities to break down and solve complex problems
  • Demonstrated ability to draw insights from data and clearly communicate them to the stakeholders and senior management
  • Curious, seeking out opportunities for growth by asking the right questions
  • Proven ability to collaborate and build relationships with diverse teams
  • Self-starter with an entrepreneurial spirit
  • Sales analytics and SaaS experience, a plus
  • Legally authorized to work in the US

Compensation and Benefits:

Expected base salary range for this position is $58,490 - $79,900 USD per year based on several factors, including experience and geography. This position is also eligible for an annual incentive bonus or sales commission bonus, depending on the role, and benefits that are designed to support you & your family. If you are hired at DreamBox Learning, your final base salary compensation will be determined based on considerations such as geographic location, skills, responsibilities of the role, education, and/or relevant experience.  In addition to those factors, we believe in the importance of pay equity and consider the compensation of our current team members as a part of evaluating and extending any final offer.

We are proud to offer employees and their families a comprehensive benefits package:

  • Medical-Dental-Vision
  • Health Care Dependent Care
  • Short & Long Term Disability
  • Life Insurance
  • 401(k)
  • FSA/HSA
  • Paid Time Off - Front Loaded (4 weeks)
  • Accrued Sick Time
  • DreamBox "Hero Days" Volunteer Time
  • Employee Assistance Program
  • 9 Paid Holidays + Annual Winter Holiday Break (Typically the last week of December)

#BI-Remote #LI-Remote

This job is no longer open
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