Data Scientist & Analyst

Who is Blueprint?

We are a technology solutions firm headquartered in Bellevue, Washington, with a strong presence across the United States. Unified by a shared passion for solving complicated problems, our people are our greatest asset. We use technology as a tool to bridge the gap between strategy and execution, powered by the knowledge, skills, and the expertise of our teams, who all have unique perspectives and years of experience across multiple industries. We’re bold, smart, agile, and fun.

What does Blueprint do?

Blueprint helps organizations unlock value from existing assets by leveraging cutting-edge technology to create additional revenue streams and new lines of business. We connect strategy, business solutions, products, and services to transform and grow companies.

Why Blueprint?

At Blueprint, we believe in the power of possibility and are passionate about bringing it to life. Whether you join our bustling product division, our multifaceted services team or you want to grow your career in human resources, your ability to make an impact is amplified when you join one of our teams. You’ll focus on solving unique business problems while gaining hands-on experience with the world’s best technology. We believe in unique perspectives and build teams of people with diverse skillsets and backgrounds. At Blueprint, you’ll have the opportunity to work with multiple clients and teams, such as data science and product development, all while learning, growing, and developing new solutions. We guarantee you won’t find a better place to work and thrive than at Blueprint.

We are looking for a Data Scientist & Analyst to join us as we build cutting-edge technology solutions!  This is your opportunity to be part of a team that is committed to delivering best in class service to our customers.

In this role, you will play a pivotal role in driving data-informed decisions across a high-impact product portfolio used by millions of users worldwide. You’ll partner with cross-functional teams to surface insights that influence strategy and growth. This role combines technical acumen in data science with a strategic mindset and offers the opportunity to work on cutting-edge developer tools and AI-driven innovations.

Responsibilities:

• Analyze and synthesize financial, product usage, and customer data to identify growth opportunities across a portfolio of cloud and developer-focused tools.
• Design and build Power BI dashboards to surface insights across technical and business stakeholders.
• Maintain and evolve key metrics related to customer acquisition, engagement, churn, and financial health.
• Apply statistical techniques to derive insights, investigate anomalies, and support strategic decision-making.
• Develop SQL and Kusto (Azure Data Explorer) queries and build data pipelines to streamline reporting and analytics.
• Collaborate with product managers, engineers, and business leaders to define and execute analytical projects.
• Communicate findings clearly and effectively through presentations, visualizations, and written reports.
• Adhere to best practices in data privacy and handling of sensitive data, including PII and financial metrics.
• Contribute to the team’s data science function through the development of scalable tools, processes, and documentation.

Qualifications:

• Bachelor’s degree in Statistics, Mathematics, Data Science, Engineering, Computer Science, Economics, or a related field AND 6+ years of experience in data analysis, business intelligence, or related roles
  OR Master’s degree in a related field AND 4+ years of relevant experience
• Proficient in Python for data analysis (minimum 8 years experience expected)
• Proficient in Git/GitHub and Azure DevOps for version control and collaboration (minimum 6 years experience)
• Strong experience with Power BI (minimum 3 years)
• Advanced SQL skills and familiarity with large-scale data querying
• Demonstrated ability to work with cross-functional teams and translate business needs into technical insights
• Excellent written and verbal communication skills across technical and non-technical audiences
• Strong statistical and problem-solving skills, with attention to detail
• Ability to thrive in ambiguity and adapt in a fast-paced, collaborative environment

Preferred Qualifications:

• 8+ years experience in data analysis or data science roles
• Experience working with Azure Data Explorer (Kusto)
• Background in SaaS, cloud platforms, or developer tools
• Experience integrating AI/LLM capabilities into analytical solutions
• Familiarity with customer lifecycle metrics (acquisition, engagement, retention)
• Knowledge of data security standards and compliance related to financial or personally identifiable information

Salary Range

Pay ranges vary based on multiple factors including, without limitation, skill sets, education, responsibilities, experience, and geographical market. The pay range for this position reflects geographic-based ranges for Washington state: $130,000 - $145,000 USD annually, with a midpoint of $137,500. The salary/wage and job title for this opening will be based on the selected candidate’s qualifications and experience and may be outside this range.

Equal Opportunity Employer

Blueprint Technologies, LLC is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, age, disability, sex, gender identity or expression, orientation, veteran/military status, religion, national origin, ancestry, marital, or familial status, genetic information, citizenship, or any other status protected by law.

If you need assistance or a reasonable accommodation to complete the application process, please reach out to: recruiting@bpcs.com

Blueprint believe in the importance of a healthy and happy team, which is why our comprehensive benefits package includes:

• Medical, dental, and vision coverage
• Flexible Spending Account
• 401k program
• Competitive PTO offerings
• Parental Leave
• Opportunities for professional growth and development

Location: Fully remote (U.S. only); must work standard PST business hours.