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Data Scientist - Product & Consumer Analytics
- United States
- United States
À propos
Redmond, WA 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. 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. 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. In this role, you will support analytics initiatives for a high-impact gaming product by partnering closely with stakeholders, data teams, and cross-functional partners to turn business questions into clear, actionable insights. You will conduct analysis in Databricks, work with SQL and Python-based data workflows, build and maintain dashboards, and use AI-assisted development tools such as GitHub Copilot to improve efficiency and quality. This role is highly collaborative and requires someone who can work well with smart, technical teams while delivering high-quality analytics work on time. Responsibilities Meet with business and technical stakeholders to understand analytics needs, clarify requirements, and translate questions into data-driven insights. Conduct data analysis using Databricks, SQL, and Python to support product, business, and operational decision-making. Build, maintain, and enhance dashboards and reporting tools, preferably using Power BI. Analyze product, user, engagement, or performance data to identify trends, opportunities, and actionable recommendations. Collaborate with team members across analytics, engineering, and business functions to deliver high-quality data solutions. Use AI-assisted development tools, such as GitHub Copilot, to support analytics, code development, and workflow efficiency. Ensure work is delivered on time, meets quality standards, and aligns with stakeholder expectations. Communicate findings clearly to technical and non-technical audiences. Participate in a hybrid work arrangement to support collaboration, team alignment, and stakeholder engagement. Required Qualifications 5+ years of experience in data analytics. 5+ years of experience with SQL. 2+ years of experience with dashboarding or business intelligence tools. Hands-on experience conducting analysis in modern data platforms such as Databricks or similar environments. Proficiency in Python for data analysis, automation, or analytics workflows. Experience working directly with stakeholders to gather requirements, present findings, and support business decisions. Strong analytical problem-solving skills with the ability to work through ambiguous questions. Ability to deliver high-quality work while meeting deadlines. Strong communication and collaboration skills. Preferred Qualifications Experience with SparkSQL, Databricks, Azure Data Explorer, or similar large-scale analytics platforms. Familiarity with PySpark. Power BI experience strongly preferred. Background in gaming, digital products, user engagement analytics, or entertainment technology. Experience analyzing user behavior, retention, engagement, monetization, or product performance data. Familiarity with GitHub Copilot or other AI-assisted coding/productivity tools. Experience working in highly collaborative, fast-paced technical environments. Prior experience supporting product, business, or executive stakeholders with data-driven insights. Salary Range At Blueprint, we strive to offer competitive pay that reflects the value of our team members. Compensation for this role is influenced by a variety of factors, including skills, education, responsibilities, experience, and geographic market. For candidates based in Washington State, the anticipated salary range is $150,000– $160,000 per annum. Please note that we typically do not hire new employees at the top of the posted range. Actual starting pay will be determined based on experience, skills, and internal equity. The final salary and job title may vary depending on the selected candidate's qualifications and could fall outside the stated 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: Redmond, WA
Compétences linguistiques
- English
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