{"id":3282097,"url":"https://alion.io/job/clearway-energy-group-senior-analyst-analytics-engineering","title":"Senior Analyst, Analytics Engineering","company":{"id":672964,"name":"Clearway Energy Group","domain":"clearwayenergygroup.com","url":"https://alion.io/company/clearwayenergygroup","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":86,"open_postings":9,"ghost_share":0,"stale_share":0.556,"repost_share":0,"time_to_fill_p50_days":49,"computed_at":"2026-10-27T05:46:45Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Scottsdale, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":79000,"max_usd":151000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":2036},"experience_years_min":3,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Claude Code","optional":false},{"name":"Cortex","optional":false},{"name":"dbt","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"Git","optional":false},{"name":"GitLab","optional":false},{"name":"Matplotlib","optional":false},{"name":"Microsoft Excel","optional":false},{"name":"NumPy","optional":false},{"name":"OpenAI Codex","optional":false},{"name":"Plotly","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Streamlit","optional":false},{"name":"Tableau","optional":false},{"name":"Time Series","optional":false},{"name":"Dagster","optional":true},{"name":"Prometheus","optional":true},{"name":"Scikit-learn","optional":true},{"name":"Statsmodels","optional":true}],"status":"live","first_seen_at":"2026-10-26T15:31:17Z","employer_posted_date":"2026-10-26","last_verified_at":"2026-10-28T01:03:13Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"What The Role Is\nWe are seeking a Senior Analyst, Analytics Engineering to bridge the gap between business questions and trusted data. You’ll work directly with stakeholders, first and foremost our asset managers, along with our Commercial Analytics (CA) and Market Optimization and Trading (MOT) teams and partners in finance, accounting, procurement, and operations, to understand what they need, build the data models that answer it, and deliver the reports, dashboards, and light predictive analyses that put it to use.\nThe role’s initial workload is expected to be roughly one-third each: (1) revenue analytics and stakeholder reporting; (2) modeling SAP data across accounting, procurement, and operations and maintenance (O&M) to serve teams across the organization; and (3) monthly curtailment reporting in support of the Commercial Analytics manager. Priorities may shift with business needs. This is a hands-on, hybrid role (3 days in office) that combines data analysis (Python, data visualization, requirements gathering) with analytics engineering (SQL, dbt, version control, documentation) on a modern stack: Snowflake, dbt, Hex, Streamlit, and GitLab.\nThis role is suited to an analyst who has independently delivered reliable business reporting and analytical solutions, brings strong SQL, dbt, and Python skills, and wants to expand their ownership of data modeling and analytics engineering while working closely with business stakeholders.\nThis role is located in our Scottsdale, AZ office.\nWhat You'll Be Doing\nRequirements Gathering & Stakeholder Partnership\nPartner first and foremost with asset managers, and with Commercial Analytics (CA), Market Optimization and Trading (MOT), commercial, finance, accounting, procurement, and operations stakeholders to translate business questions into clear requirements, metric definitions, and deliverables\nManage a backlog of reporting and analysis requests, prioritizing with your manager and communicating scope, timelines, and tradeoffs\nPresent findings and recommendations to technical and non-technical audiences in clear, concise language\nRevenue Analytics, Reporting & Data Visualization (~1/3)\nDevelop analyses and reporting on revenue and related commercial and trading performance metrics, including variance and trend analysis\nDesign, build, and maintain reporting dashboards and self-service data applications (e.g., Hex, Streamlit) that give stakeholders reliable, timely access to key metrics\nApply sound visualization practices so that insights are clear, accurate, and actionable\nSupport recurring and ad hoc reporting requests, including requests from senior management\nSAP Data Modeling & Analytics Engineering (~1/3)\nDevelop and maintain dbt models that transform raw data into well-structured, business-ready datasets (staging, intermediate, and mart layers)\nModel SAP data in Snowflake for accounting (e.g., GL, cost centers, WBS), procurement (e.g., purchase orders, invoices, vendors), and O&M (e.g., work orders, maintenance cost) reporting that serves teams across the organization; translate SAP structures into intuitive, documented analytical models\nWork with finance, accounting, procurement, and O&M subject-matter experts to define data mappings and reconciliation rules\nWrite clear, performant SQL for Snowflake, following team conventions and Snowflake best practices\nImplement dbt data tests and source freshness checks to validate data quality and timeliness, including reconciliation of analytical models to SAP source totals\nUse Git and GitLab for version control and code review of analytics code\nCurtailment Reporting & Commercial Analytics Support (~1/3)\nApply established, site-specific curtailment methodologies to produce monthly curtailment reports for the wind, solar, and solar-plus-storage fleet, including reruns and backfills, and prepare reports for review and release by the Commercial Analytics manager\nValidate input data and results before release, including prediction error, missing or stuck values, timestamp coverage, and dispatch data\nTroubleshoot failed runs and improve the reliability, automation, and documentation of reporting scripts\nScripting & Light Predictive Analytics\nUse Python to automate data preparation, build analysis scripts, and prototype lightweight forecasting and statistical models (e.g., regression, simple time-series, trend and anomaly detection)\nUse approved AI coding tools to accelerate SQL and Python development, reviewing, testing, and validating all generated code and outputs before they reach production or stakeholders\nPartner with senior team members to move validated prototypes into maintained, documented workflows\nDocumentation & Data Governance\nCreate and maintain model documentation, metric definitions, data dictionaries, and onboarding materials so that data assets are discoverable and understandable\nFollow Clearway data classification and access-control standards, handling sensitive commercial and financial data appropriately in all analyses, tools, and outputs\nFlag data quality issues early and work with data engineering and source-system owners to resolve root causes\nWhat You'll Bring\nExperience and Education: Bachelor’s degree in Engineering, Computer Science, Data Science, Finance, Accounting, Economics, Business, or a related quantitative field, with 3+ years of relevant experience in data analysis, business intelligence, or analytics engineering, including a track record of independently delivering reliable analytical work\n SQL: Strong SQL skills, including joins, window functions, CTEs, and query optimization; experience with a cloud data warehouse (Snowflake preferred)\ndbt: Hands-on experience building and maintaining dbt models, including dbt data tests and documentation\nData Modeling: Working knowledge of dimensional modeling and analytics-ready data structures\n Python: Proficiency in Python for data analysis and scripting (e.g., pandas, NumPy, Matplotlib, Plotly)\nVersion Control: Hands-on experience with Git, including branching, pull/merge requests, and code review\n AI-Assisted Development: Ability to use approved AI coding tools (e.g., Claude Code, OpenAI Codex, Snowflake Cortex Code) responsibly, with appropriate code review, testing, validation of results, and protection of sensitive data\nExcel: Strong Excel skills for building, reviewing, and quality-checking report workbooks\n Data Visualization: Experience building dashboards and reports in a modern BI or visualization tool (e.g., Hex, Power BI, Tableau, Spotfire, or Streamlit)\nRequirements Gathering: Demonstrated ability to work with business stakeholders to clarify ambiguous requests and deliver the right outcome\nDocumentation: Commitment to clear documentation of data models, metrics, and analyses\nCommunication: Ability to explain technical concepts to non-technical audiences\n Work Style: Self-directed, detail-oriented, and comfortable managing multiple priorities; able to work in the Scottsdale office 3 days per week\nWhat Would Be Nice\nExperience modeling data from SAP or a comparable ERP (e.g., Oracle, NetSuite, Workday) for accounting, procurement, or maintenance reporting\nExperience with high-frequency (e.g., 1- to 5-minute) time-series data or renewable operational data, such as SCADA or historian data, power curves, or availability calculations\nFamiliarity with curtailment, PPA terms, ISO/RTO markets (e.g., CAISO, ERCOT), or LMP data\nExperience in the energy, utilities, or financial services industries, including energy markets, trading, asset performance, or O&M data\nExperience with revenue, financial, or commercial analytics\ndbt Analytics Engineering Certification\nExposure to workflow orchestration tools (e.g., Dagster, Airflow)\nExperience with forecasting or predictive modeling (e.g., scikit-learn, statsmodels)\nExperience building data apps with Streamlit.\nNo visa sponsorship or any kind of sponsorship for employment authorization is available for this role, now or in the future.\n#LI-Hybrid\nThe pay rate for the successful candidate will depend on geographic location, skills, relevant and demonstrated experience, education, training and certifications, and other factors permitted by law. This role is eligible to earn an annual cash bonus, subject to personal and company performance goals.\nSalary Range Across all U.S. Locations\n$90,000—$120,000 USD\nClearway Energy Group is leading the transition to a world powered by clean energy. Along with our public affiliate Clearway Energy, Inc., our portfolio comprises approximately 11.6 GW of gross generating capacity in 26 states, including 9.1 GW of wind, solar, and battery energy storage assets, and over 2.5 GW of conventional dispatchable power generation providing critical grid reliability services. As we develop a nationwide pipeline of new energy projects for the future, Clearway’s operating fleet generates enough reliable electricity to power more than 3 million homes today. Clearway Energy Group is headquartered in San Francisco with offices in Denver, Houston, Phoenix, Princeton, and San Diego. For more information, visit clearwayenergygroup.com.\nOur Commitment to Diversity, Equity, & Inclusion\n Clearway Energy Group’s vision is a world powered by clean energy. Along with our public affiliate Clearway Energy, Inc., our portfolio comprises approximately 11.8 GW of gross generating capacity in 26 states, including 9.1 GW of wind, solar, and battery energy storage assets, and over 2.8 GW of flexible dispatchable power generation providing critical grid reliability services. As we develop a nationwide pipeline of new energy projects for the future, Clearway’s operating fleet generates enough reliable electricity to power more than 2 million homes today. Clearway Energy Group is headquartered in San Francisco with offices in Denver, Houston, Phoenix, Princeton, and San Diego. For more information, visit clearwayenergygroup.com.\nWorking at Clearway\n Here at Clearway, we’re committed to balancing flexibility while fostering strong relationships with our teammates. We do this by prioritizing corporate new hires based near one of our offices in San Francisco, San Diego, Scottsdale, Houston, Denver, & Princeton. Our office-based employees work together from our offices on Tuesday, Wednesday & Thursday to collaborate & learn, build community, get to know one another, & enjoy company-provided meals & events. Our site-based employees collaborate in-person daily to keep our locations operating safely and efficiently while fostering strong relationships within their local communities. \nClearway Energy is an equal opportunity employer that values a broad diversity of talent, knowledge, experience & expertise. We intentionally foster a culture of inclusion that empowers our employees to deliver superior performance to the communities we serve. We encourage minorities, women, individuals with disabilities & protected veterans to join the team. Clearway is a proud promoter of employment opportunities for our Military & Veterans.\nWhat We Provide\n Clearway offers all eligible employees working 20+ hours per week a comprehensive menu of benefits: generous PTO, medical, dental & vision care, HSAs with company contributions, health FSAs, dependent daycare FSAs, commuter benefits, relocation, & a 401(k) plan with employer match, a variety of life & accident insurances, fertility programs, adoption assistance, generous parental leave, tuition reimbursement, & benefits for employees in same-sex marriages, civil unions & domestic partnerships. For more on Clearway benefits, visit our Benefits Website.\nNotice to Applicants\nClearway Energy is strongly committed to a philosophy of equal opportunity and fully complies with equal employment laws, ordinances, and regulations for all applicants and employees. We will make reasonable accommodations to enable individuals with disabilities to apply and compete for employment opportunities for which they are qualified. 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