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Data Scientist & Analyst - Job Opportunity at Blueprint Technologies

Bellevue, WA, US
Full-time
Senior
Posted: June 2, 2025
Remote
USD 120,000 - 135,000 per year

Benefits

Comprehensive medical, dental, and vision coverage providing complete healthcare security and family protection
Flexible Spending Account enabling tax-advantaged healthcare and dependent care expense management
Competitive 401k retirement program with employer participation supporting long-term financial security
Generous paid time off policies promoting work-life balance and personal well-being
Progressive parental leave benefits supporting family growth and work-life integration
Professional development and growth opportunities including training, conferences, and career advancement pathways

Key Responsibilities

Drive strategic data-informed decision-making across high-impact product portfolios serving millions of global users, directly influencing company growth and market position
Lead cross-functional partnership initiatives to surface critical business insights that shape organizational strategy and competitive advantage
Design and implement comprehensive Power BI dashboard solutions that democratize data access across technical and business stakeholders
Own and evolve key performance metrics architecture for customer acquisition, engagement, churn, and financial health monitoring
Execute advanced statistical analysis and anomaly detection to support strategic decision-making and risk mitigation
Architect and maintain scalable data pipelines using SQL and Kusto for enterprise-level reporting and analytics automation
Facilitate strategic analytical projects through collaboration with product managers, engineers, and executive leadership
Deliver executive-level presentations and data-driven recommendations that influence business direction and investment decisions
Establish and maintain data governance standards ensuring compliance with privacy regulations and sensitive data handling protocols
Drive organizational data science maturity through development of scalable tools, best practices, and knowledge transfer

Requirements

Education

Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Computer Science, Economics, or a related field

Experience

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

Required Skills

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
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Sauge AI Market Intelligence

Industry Trends

The data science field is experiencing unprecedented growth driven by AI and machine learning integration, with organizations increasingly seeking professionals who can bridge technical analysis with strategic business impact. Companies are prioritizing data scientists who can work with cloud platforms and developer tools, reflecting the shift toward data-driven product development and customer experience optimization. Azure and Microsoft ecosystem expertise is becoming increasingly valuable as enterprises migrate to cloud-first architectures, with Kusto/Azure Data Explorer skills representing specialized knowledge that commands premium compensation in the current market. The convergence of traditional business intelligence with advanced analytics and AI capabilities is creating hybrid roles that combine statistical analysis with strategic business consulting, reflecting the evolution of data science from purely technical to business-critical functions.

Salary Evaluation

The offered salary range of $120,000-$135,000 is competitive for the Seattle metropolitan area and aligns well with senior data scientist compensation in the Pacific Northwest. This range reflects the role's hybrid nature combining traditional analytics with strategic business impact, though it may be slightly below market rate for candidates with the full 8+ years of Python experience requirement.

Role Significance

Based on the cross-functional collaboration requirements and the scope of responsibilities, this role likely involves working within a data team of 3-5 professionals while interfacing with multiple product teams, engineering groups, and business stakeholders across a mid-to-large sized technology consultancy.
This is a senior-level position evidenced by the requirement for 6+ years of experience, the expectation of 8+ years in Python, and the responsibility for driving strategic decisions across million-user product portfolios. The role involves significant autonomy in designing analytics solutions and directly influencing executive-level strategy.

Key Projects

Enterprise-scale business intelligence dashboard development for client portfolio management and performance tracking Customer lifecycle analytics and churn prediction modeling for SaaS and cloud platform clients Financial performance analysis and revenue optimization projects for technology consulting engagements Data pipeline architecture and automation projects supporting multiple client deliverables simultaneously

Success Factors

Mastery of the Microsoft Azure data ecosystem including Power BI, Azure Data Explorer, and cloud-native analytics tools, which represents the core technical foundation for client delivery and internal operations Exceptional communication and storytelling abilities to translate complex analytical findings into actionable business strategies for diverse stakeholder groups including C-level executives and technical teams Strategic thinking capability to identify growth opportunities and business insights from complex, multi-source datasets while maintaining attention to detail in statistical analysis and data quality Adaptability and consulting mindset to work effectively across multiple client engagements simultaneously while maintaining high standards for deliverable quality and stakeholder satisfaction

Market Demand

High demand exists for this hybrid data scientist-analyst profile, particularly given the specific Azure ecosystem requirements and the combination of technical depth with business acumen. The remote work option and focus on developer tools positions this role favorably in a competitive talent market.

Important Skills

Critical Skills

Advanced Python proficiency with 8+ years of experience represents the core technical foundation for all analytical work, data pipeline development, and statistical modeling required across client engagements. This level of expertise is essential for handling complex, large-scale datasets and implementing sophisticated analytical solutions Power BI expertise is mission-critical for client deliverable creation and stakeholder communication, as business intelligence dashboards serve as the primary interface between technical analysis and business decision-making in consulting engagements Azure ecosystem knowledge including Kusto/Azure Data Explorer provides competitive differentiation in the Microsoft-centric enterprise market, enabling the delivery of cloud-native solutions that align with client infrastructure investments

Beneficial Skills

Machine learning and AI integration capabilities would enhance service offerings and align with industry trends toward intelligent automation and predictive analytics in enterprise environments Additional cloud platform expertise beyond Azure, particularly AWS or Google Cloud, would expand client service capabilities and provide flexibility in multi-cloud enterprise environments Industry-specific domain knowledge in areas such as financial services, healthcare, or manufacturing would enable deeper client relationships and specialized consulting offerings in vertical markets

Unique Aspects

This role uniquely combines strategic business consulting with hands-on technical implementation, offering exposure to multiple industries and client challenges that is rare in traditional corporate data science positions
The specific focus on developer tools and cloud platforms provides specialized expertise development in high-growth market segments, positioning the role holder as a subject matter expert in emerging technology areas
The consulting environment offers accelerated professional development through exposure to diverse business challenges and executive-level stakeholder interaction, contrasting with typical internal corporate data science roles

Career Growth

Career progression to management or principal-level roles typically occurs within 2-3 years given the senior-level responsibilities and client-facing nature of this position, with advancement dependent on successful client delivery and business development contributions.

Potential Next Roles

Senior Data Science Manager or Director of Analytics leading data science teams across multiple client engagements and business units Principal Data Scientist or Lead Data Science Consultant focusing on enterprise-level strategic analytics and AI implementation projects Business Intelligence Director or Head of Data Strategy responsible for organizational data governance and analytics capability development

Company Overview

Blueprint Technologies

Blueprint Technologies operates as a mid-market technology consulting firm with national reach, positioning itself as a strategic partner for enterprise digital transformation initiatives. The company's focus on bridging strategy and execution through technology solutions indicates a sophisticated service offering that goes beyond traditional IT consulting to include business strategy and product development.

Blueprint appears to be a well-established player in the competitive technology consulting space, with their Bellevue headquarters and national presence suggesting strong regional market position in the Pacific Northwest while competing with larger consulting firms for enterprise clients.
The Bellevue location positions Blueprint strategically within the broader Seattle technology ecosystem, providing access to both Microsoft's enterprise customer base and the region's deep talent pool in cloud technologies and data science.
The company culture emphasizes collaborative problem-solving and innovation, with their description of being "bold, smart, agile, and fun" suggesting a dynamic work environment that values both technical excellence and creative thinking. The remote-first approach indicates progressive workplace policies aligned with modern technology talent expectations.
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