Senior Business Intelligence Analyst

Senior Analyst, Business Intelligence About Us: BlackSky is a real-time intelligence company. We own and operate the world's most advanced space-based intelligence platform and provide customers satellite imagery, automated analytics and high-frequency monitoring of strategic locations, economic assets and events from around the globe. BlackSky is trusted by the most demanding allied military and intelligence organizations and commercial companies to deliver foresight into critical matters that affect national security and the economy. BlackSky's data enables governments and businesses to see, understand and anticipate change as it happens, giving them the ultimate strategic advantage so they can act quickly. Our global team works with cutting-edge technology to make a difference around the world and prides itself on being people-first, customer-focused and fun. BlackSky is seeking a Senior Analyst, Business Intelligence to support data-driven decision-making across our space-based intelligence business, with a particular focus on analyzing constellation capacity, customer demand, and product performance. Reporting to the Senior Director of Product Management, you will build on an existing foundation of Python, SQL, and Excel-based analytical tools and datasets, while developing new analyses that connect operational and commercial data to business decisions. The ideal candidate combines analytical and technical skills with strong commercial instincts and the ability to carry analyses from data through recommendation/ conclusion. They can work with distributed datasets, identify the right questions to ask, develop practical analytical approaches, and translate the results into clear insights for Product, Sales, and other Go-to-Market stakeholders. Satellite industry experience is not required, but intellectual curiosity, comfort learning complex systems, and the ability to move between detailed analysis and broader business context are essential. Responsibilities: Translate complex business questions into structured analytical problems, identify the required data, develop and apply analytical methodologies, and communicate actionable conclusions to inform decision-making. Conduct constellation capacity analyses across geographies and products. Own and evolve core business intelligence datasets and analytical tools used to evaluate customer ordering behavior, product usage, revenue, pricing dynamics, and operational performance across customer segments. Maintain, improve, and expand existing Python- and SQL-based workflows that ingest, standardize, enrich, and analyze large operational datasets. Partner with Product, Sales, and other go-to-market teams to evaluate prospective deals, product structures, customer requirements, and commercial tradeoffs using quantitative analysis along with other relevant business context. Improve the organization, documentation, modularity, and reproducibility of the existing analytical codebase so tools can be maintained and extended over time. Communicate findings clearly to both technical and non-technical stakeholders, including the assumptions, limitations, and business implications of the analysis. Required Qualifications: Bachelor's degree in a quantitative, technical, business, or related field, or equivalent practical experience. Minimum of five years of experience working in business intelligence, analytics, data science, or a related analytical role. Advanced proficiency in Python for data analysis and familiarity with SQL. Demonstrated ability to translate complex business questions into structured analysis. Strong business and technical acumen with top notch verbal and written communication skills. Outstanding attention to detail and commitment to analytical accuracy. Ability to travel domestically and internationally approximately [5%] of working days. Ability to operate independently, effectively and decisively in a highly technical data-rich environment with minimal guidance and intellectual curiosity. Preferred Qualifications: Advanced graduate degree in a quantitative or technical field, or an MBA. Professional experience with geospatial and/or remote sensing data. Experience working with product and sales organizations. Experience at a startup or rapidly innovating company. Life at BlackSky for full-time benefits eligible employees includes Medical, dental, vision, disability, group term life and AD&D, voluntary life and AD&D insurance BlackSky pays 100% of employee-only premiums for medical, dental and vision and contributes $100/month for out-of-pocket expenses! 15 days of PTO, 11 Company holidays, four Floating Holidays (pro-rated based on hire date), one day of paid volunteerism leave per year, parental leave and more 401(k) pre-tax and Roth deferral options with employer match Flexible Spending Accounts Employee Stock Purchase Program Employee Assistance and Travel Assistance Programs Employer matching donations Professional development Mac or PC? Your choice! Awesome swag The anticipated salary range for candidates in Seattle, WA is $130,000-145,000 per year. The final compensation package offered to a successful candidate will be dependent on specific background and education. BlackSky is a multi-state employer, and this pay scale may not reflect salary ranges in other states or locations outside of Seattle, WA. BlackSky is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, sexual orientation, gender identity, disability, protected veteran status or any other characteristic protected by law. To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. EEO/Pay Transparency Statements: #J-18808-Ljbffr Talentify.io