{"id":3718042,"url":"https://alion.io/job/energyhub-senior-analytics-engineer","title":"Senior Analytics Engineer","company":{"id":7822,"name":"EnergyHub","domain":"energyhub.com","url":"https://alion.io/company/energyhub","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States","United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":130000,"max":170000,"currency":"USD","period":"year","gross":null,"usd_annual":170000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"dbt","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Julia","optional":false},{"name":"Looker","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Tableau","optional":false},{"name":"Time Series","optional":false},{"name":".NET","optional":true},{"name":"C#","optional":true},{"name":"Machine Learning","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-11-03T22:19:13Z","employer_posted_date":"2026-11-03","last_verified_at":"2026-11-08T05:44:39Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Electric vehicles are one of the fastest-growing distributed energy resources on our platform. Through integrations with major automakers and charger manufacturers, EnergyHub ingests telematics and charging data from a large and rapidly expanding fleet of EVs enrolled in utility managed charging programs. EnergyHub's EV team is hiring a Data Analyst to turn that data into insight: understanding how drivers charge, how programs perform, where our data falls short, and where the next product opportunities lie. Your work will shape how utilities, automakers, and EnergyHub itself understand EV load, and will directly inform the products we build next. The ideal candidate is passionate about data analytics, curious about how people actually use their EVs, and motivated to apply their skills to solving the climate crisis.\nMain Responsibilities\nAnalyze large-scale EV telematics and charging data from multiple OEM and charger integrations to surface insights into driver charging behavior, program enrollment and retention, event participation, and load shifting outcomes.\nDefine, monitor, and improve data quality for EV OEM data feeds: identify gaps, latency, duplicates, and anomalies across sources, build automated checks, and work with engineering and OEM partners to resolve root causes.\nTrack and report on trends across the EV fleet, including vehicle and charger mix, charging patterns by time of day and season, home vs. public charging, and shifts in behavior as programs and incentives change.\nBuild clear documentation and training materials to enable others to use the assets and insights you create independently.\nIdentify and quantify opportunities for new EV products and program designs, such as smarter charging optimization, new incentive structures, and new OEM or utility offerings, and partner with product managers to validate them with data.\nBuild and maintain data models, dashboards, and automated reporting in EnergyHub's BI stack so that product, client success, and utility clients have timely, accurate, and actionable views of EV program performance.\nCollaborate with engineering, data science, product management, client success, and OEM partnership teams to develop business logic, detailed requirements, and research questions of interest to the company and our clients.\nOther duties as assigned\nKey Skills and Experience\nYou are passionate about finding valuable insights in large, complex datasets, and you are curious about electric vehicles and how people use them\n3+ years of experience as a data analyst\nWhen you can't find the data you need, you are creative enough to infer and/or generate it from other information that is available, and you can clearly articulate the limitations of that inference\nYou have experience developing analytics dashboards that are useful and visually compelling\nYou have experience developing automated reporting systems with business intelligence tools\nYou have experience assessing and improving data quality, and you are comfortable working with messy, high-volume, time-series data from third-party sources\nYou can translate an analytical finding into a product or business recommendation and communicate it clearly to technical and non-technical audiences\nYou enjoy communicating with others and developing real relationships with colleagues, clients, and external partners\nYou are excited about the opportunities of working with very large datasets from disparate sources\nYou have the ability to describe your ideal analytics schema to data engineering team members and work with them to improve a data warehouse\nYou share our vision of a carbon-free distributed energy future\nYou are passionate about empowering users through timely, accurate, and actionable data\nYou have experience with one or more BI tools (e.g. Tableau, Sigma, Looker), cloud data warehouses (e.g. Snowflake, Redshift, BigQuery), data transformation frameworks (e.g. dbt), and data science tools (e.g. Python/Jupyter, Julia, R)\nYou have experience with data warehouse architecture\nPreferred Skills and Experience\nExtensive experience with dbt / Snowflake / SQL\nExperience with EV, telematics, connected-vehicle, charging, or other IoT device data, or with the energy or utility industry\nExperience working with third-party API data and partner-delivered data feeds, including defining data contracts and quality standards\nA strong background in mathematics and statistics in order to provide support to clients who need to understand complex statistics and to collaborate with data scientists who will use the analytics platform for statistical analysis\nExperience supporting product discovery or go-to-market decisions with quantitative analysis\nPlease note that sponsorship of new applicants for employment authorization, or any other immigration-related support, is not available for this position at this time.\nWhy work for EnergyHub?\nCollaborate with outstanding people: Our employees work hard, do great work, and enjoy collaborating and learning from each other.\nMake an immediate impact: New employees can expect to be given real responsibility for bringing new technologies to the marketplace. You are empowered to perform as soon as you join the team!\nGain well rounded experience: EnergyHub offers a diverse and dynamic environment where you will get the chance to work directly with executives and develop expertise across multiple areas of the business.\nWork with the latest technologies: You'll gain exposure to a broad spectrum of IoT, SaaS and machine learning obstacles, including distributed fault-tolerance, device control optimization, and process modeling to support scalable interaction with disparate downstream APIs.\nBe part of something important: Help create the future of how energy is produced and consumed. Make a positive impact on our climate.\nAbout EnergyHub\nEnergyHub empowers utilities and their customers to create a clean, distributed energy future. We help consumers turn their smart thermostats, EVs, batteries, and other products into virtual power plants that keep the grid stable and enable higher penetration of solar and wind power.\nTo learn more, visit energyhub.com.\nCompany Benefits\nEnergyHub offers a generous benefits package including 100% paid medical for employees and a 401(k) with employer match. We offer a casual environment, the flexibility to set your own schedule, a fully stocked fridge and pantry, free Citi Bike membership, secure bike rack, gym subsidy, paid parental leave, and an education assistance program.\nEnergyHub is an Equal Opportunity Employer\nEOE, Including Disability/Vets. Reasonable accommodations are available for individuals with disabilities throughout the application process. If you are a person with a disability needing assistance with the application process, please contact .\nIn connection with your application, we collect information that identifies, reasonably relates to or describes you (\"Personal Information\"). The categories of Personal Information that we may collect include your name, government-issued identification number(s), email address, mailing address, other contact information, emergency contact information, employment history, educational history, and demographic information. We collect and use those categories of Personal Information about you for human resources and other business management purposes, including identifying and evaluating you as a candidate for potential or future employment or future positions, recordkeeping in relation to recruiting and hiring, conducting analytics, and ensuring compliance with applicable legal requirements and Company policies. By submitting your application, you acknowledge that we may retain some of the personal data that you provide in your application for our internal operations such as managing our recruitment system and ensuring that we comply with labor laws and regulations even after we have made our employment decision.\nNotice To Third Party Agencies:\nEnergyHub understands the value of professional recruiting services. However, we are not accepting resumes from recruiters or employment agencies for this position. In the event we receive a resume or candidate referral for this position from a third-party recruiter or agency without a previously signed agreement, we reserve the right to pursue and hire those candidate(s) without any financial obligation to you.\nThe base salary range of this opportunity is listed below and is determined within a range based on factors including qualifications, location and experience. This allows opportunity for growth and development within the role. The base salary offered is part of a total compensation package. \nBase Salary Range\n$130,000—$170,000 USD","description_format":"text","description_chars":8763,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Education assistance","Parental leave"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Smart Grid","Energy Management"],"lifecycle":[{"event":"open","at":"2026-11-04T01:33:10Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 1","filings_12m":1,"filings_prev_12m":0,"green_card_filings_12m":0,"median_offered_wage_usd":172500,"route":null,"cap_exempt":false,"checked_at":"2026-11-07T07:57:00+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":0}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":4,"expected_fill_days":63,"reasons":["conf:0","win:early"],"computed_at":"2026-11-08T05:47:12Z"},"pay":{"stated_usd_annual":170000,"is_top_pay":true},"html_url":"https://alion.io/job/energyhub-senior-analytics-engineer","json_url":"https://alion.io/job/energyhub-senior-analytics-engineer.json","meta":{"generated_at":"2026-11-08T07:29:08Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":16281,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-09T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":7822},"rest":"https://alion.io/mcp/rest/get_company?id=7822"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fenergyhub-senior-analytics-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fenergyhub-senior-analytics-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fenergyhub-senior-analytics-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/energyhub-senior-analytics-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fenergyhub-senior-analytics-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3718042}},{"tool":"search_jobs","arguments":{"company":"energyhub.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3718042},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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