{"id":437219,"url":"https://alion.io/job/aurora-solar-staff-analytics-engineer","title":"Staff Analytics Engineer","company":{"id":171732,"name":"Aurora Solar","domain":"aurorasolar.com","url":"https://alion.io/company/aurora-solar","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-26T05:57:25Z"}},"role":"Analytics","role_family":"Analytics","seniority":"staff","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":136200,"max":216700,"currency":"USD","period":"year","gross":null,"usd_annual":216700},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"dbt","optional":false},{"name":"Looker","optional":false},{"name":"SQL","optional":false},{"name":"Fivetran","optional":true},{"name":"Python","optional":true},{"name":"Snowflake","optional":true}],"status":"live","first_seen_at":"2026-06-26T02:18:43Z","employer_posted_date":"2026-06-26","last_verified_at":"2026-10-26T21:32:45Z","board_verified":true,"closed_at":null,"days_open":122,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":122},"description":"About Aurora Solar\nAurora is on a mission to create a future of solar for all. Our award-winning software puts the power of data and technology into the hands of every solar professional to make solar adoption simple and predictable. Our software has designed millions of solar projects so far, empowering solar companies to sell, design, and install residential and commercial solar arrays accurately, seamlessly, and at scale.\nWe’ve been named one of \"The Best Remote Companies\" by BuiltIn.com and have been recognized for the second time as a Certified Green Business (CGB) with the city of San Francisco. We’re in this together to support the world’s transition to solar.\nAbout the Team\nWe are a team of experienced data professionals spanning Data Engineering, Analytics Engineering, and Analytics. We work collaboratively across the business to build trusted data foundations, deliver actionable insights, and solve complex problems that help accelerate the transition to clean energy.\nAbout the Role\nIn this role, you will partner cross-functionally with Finance, Product, and Go-to-Market teams to design scalable dbt data models, build intuitive Looker dashboards, and integrate data from a variety of SaaS applications. You'll transform complex datasets into trusted insights that guide business decisions, forecasting, and execution.\nYou'll collaborate closely with Data Engineering to ensure high-quality, reliable data pipelines while partnering with analytics engineers and analysts to establish and maintain dbt and Looker best practices. As a Staff-level individual contributor reporting to the Senior Director of Analytics, you'll play a key role in shaping Aurora's analytics foundation and enabling data-driven decision-making across the business.\nYour Impact\nDesign, build, and evolve scalable dbt data models that accurately represent company KPIs and business metrics.\n\nDevelop and maintain intuitive Looker dashboards that enable stakeholders to make informed, data-driven decisions.\n\nPartner with Finance, Product, Go-to-Market, and other cross-functional teams to understand business requirements and translate them into scalable analytics solutions.\n\nCollaborate with Data Engineering to ensure reliable, high-quality data is available for reporting and analysis.\n\nPartner with analytics engineers and analysts to establish dbt and Looker best practices, perform quality assurance on data models and dashboards, and support analytics needs across the organization.\n\nAnalyze complex datasets to uncover actionable insights that improve business performance, forecasting, and operational decision-making.\n\nHelp scope, prioritize, and execute analytics initiatives that deliver measurable value across the company.\n\nWhat You Bring\n4+ years of experience in analytics, analytics engineering, or a similar data-focused role using SQL to develop data models and generate business insights.\n\n2+ years of experience working with dbt and Looker in a production environment.\n\nStrong experience designing, building, and optimizing scalable dbt models and Looker dashboards based on business and performance requirements.\n\nAdvanced SQL and analytical problem-solving skills, with the ability to independently solve complex data challenges.\n\nExperience leveraging AI tools to accelerate analysis, troubleshoot data issues, and support complex data modeling workflows.\n\nExperience owning the end-to-end analytics lifecycle, including data modeling, validation, quality assurance, and delivery of trusted reporting.\n\nExcellent communication skills with the ability to explain technical concepts and analytical insights to both technical and non-technical stakeholders.\n\nDemonstrated ability to work cross-functionally, influence stakeholders, and independently drive projects from concept through implementation.\n\nNice to Haves\nExperience building forecasting models using Python.\n\nExperience supporting Finance, Revenue Operations, or SaaS business analytics.\n\nExperience working with modern cloud data warehouses such as Snowflake.\n\nFamiliarity with Fivetran or similar ELT tools.\n\nWhat We Offer\nFlexible PTO - Take the time when you need it\n\nParental Leave - 16 weeks with 100% base salary + gradual return to work\n\nWFH Stipend - An initial $500 (Non-engineers) or $750 (Engineering roles)\n\nCoworking Stipend - $300 / month if you prefer to be at a coworking facility near you\n\nEnergize Fridays - Company-wide days to log off and recharge\n\nConnectivity Stipend - Up to $100 / month towards internet or phone\n\nLearning & Development - $720 / annually to use towards professional development (You have to complete 90 days of employment to receive this stipend)\n\nMedical, Dental, and Vision - Premiums are 100% covered for Aurorans and 90% for dependents\n\nPlease take a look at our U.S. Benefits Booklet for a deeper dive into our offerings\n\nWhere Aurorans are: Aurora currently has teams within the US, Canada, Poland, and Germany with additional locations on the horizon. We’re united in our work to support the world’s transition to solar!\nCompensation Philosophy: At Aurora Solar, we foster an exceptional work environment through inclusiveness and transparency. Our pay ranges are anchored to the median of the market for companies of our size and industry. Our pay for new hires is typically set at the start of the position's pay range. This allows for financial growth within the role as the employee builds experience and displays a track record of performance success at Aurora.\nOur current base pay ranges in each zone are:\nTier 1: San Francisco, CA - New York, NY: $163,500 - $216,700\n\nTier 2: Seattle, Los Angeles, Washington DC, Boston, San Diego: $149,800 - $198,600\n\nTier 3: All Other US Locations, including Colorado: $136,200 - $180,600\n\nAurora is dedicated to building a diverse and inclusive workforce of people who believe in and are passionate about creating a future of solar energy for all. We are an equal opportunity employer, we welcome and consider qualified applicants regardless of gender identity, sexual orientation, race, religion, age, national origin, citizenship, pregnancy status, veteran status, or any other differences. We encourage you to apply even if you believe that you do not meet all of the above criteria!\nAurora is committed to creating an inclusive and accessible experience for all candidates. 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