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2 дня назад

Senior Analyst Analytics Engineering (Clean Energy)

90 000 - 120 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Analyst Analytics Engineering (Clean Energy): Building trusted revenue, SAP, curtailment, and commercial analytics models and reporting with an accent on SQL, dbt, Python, Snowflake, and stakeholder collaboration. Focus on modeling accounting, procurement, and O&M data, validating renewable-energy curtailment reports, and developing reliable dashboards, automation, and lightweight predictive analyses.

Location: Scottsdale, Arizona, United States; hybrid role requiring work in the Scottsdale office three days per week, typically Tuesday through Thursday. No visa or employment authorization sponsorship is available.

Salary: $90,000–$120,000 USD annual base range across U.S. locations, plus eligibility for an annual cash bonus.

Company

hirify.global develops and operates clean-energy assets, including wind, solar, battery storage, and conventional power-generation facilities across the United States.

What you will do

  • Partner with asset managers and Commercial Analytics, Market Optimization and Trading, commercial, finance, accounting, procurement, and operations stakeholders to define requirements, metrics, priorities, and deliverables.
  • Develop revenue analytics, variance and trend analyses, recurring and ad hoc reports, dashboards, and self-service data applications using tools such as Hex and Streamlit.
  • Build and maintain dbt staging, intermediate, and mart models in Snowflake for SAP accounting, procurement, and operations and maintenance data.
  • Produce monthly curtailment reports for wind, solar, and solar-plus-storage assets; validate inputs and outputs, troubleshoot failed runs, and improve automation and documentation.
  • Use Python for data preparation, analysis, automation, and lightweight forecasting, regression, time-series, trend, and anomaly-detection prototypes.
  • Create documentation, metric definitions, data dictionaries, onboarding materials, data-quality checks, and access-controlled workflows for sensitive commercial and financial data.

Requirements

  • Bachelor’s degree in Engineering, Computer Science, Data Science, Finance, Accounting, Economics, Business, or a related quantitative field, plus 3+ years of relevant experience in data analysis, business intelligence, or analytics engineering.
  • Strong SQL skills, including joins, window functions, CTEs, and query optimization, with experience using a cloud data warehouse; Snowflake is preferred.
  • Hands-on experience building and maintaining dbt models, including dbt data tests and documentation.
  • Working knowledge of dimensional modeling and analytics-ready data structures.
  • Proficiency in Python for data analysis and scripting, including tools such as pandas, NumPy, Matplotlib, and Plotly.
  • Hands-on Git experience with branching, pull or merge requests, and code review.
  • Ability to use approved AI coding tools responsibly, including reviewing, testing, validating generated code and results, and protecting sensitive data.
  • Strong Excel skills; experience building dashboards and reports in a modern BI or visualization tool such as Hex, Power BI, Tableau, Spotfire, or Streamlit.
  • Ability to gather requirements, clarify ambiguous requests, explain technical concepts to non-technical audiences, document data models and analyses, and manage multiple priorities independently and accurately.
  • Ability to work in the Scottsdale office three days per week.

Nice to have

  • Experience modeling SAP or comparable ERP data for accounting, procurement, or maintenance reporting.
  • Experience with high-frequency time-series or renewable operational data, including SCADA, historian data, power curves, or availability calculations.
  • Familiarity with curtailment, PPA terms, ISO/RTO markets such as CAISO or ERCOT, or LMP data.
  • Experience in energy, utilities, or financial services, including energy markets, trading, asset performance, O&M, revenue, financial, or commercial analytics.
  • dbt Analytics Engineering Certification.
  • Exposure to Dagster, Airflow, or other workflow orchestration tools.
  • Experience with forecasting or predictive modeling using tools such as scikit-learn or statsmodels.
  • Experience building data applications with Streamlit.

Culture & Benefits

  • Office-based collaboration, learning, community-building, company-provided meals, and events on Tuesday, Wednesday, and Thursday.
  • Benefits for eligible employees working 20 or more hours per week include PTO, medical, dental and vision care, HSA and FSA options, commuter benefits, and a 401(k) with employer match.
  • Additional benefits include life and accident insurance, fertility and adoption assistance, parental leave, tuition reimbursement, and benefits for domestic partnerships and same-sex marriages.
  • Relocation benefits are offered.
  • Clearway promotes inclusion, equal opportunity, and employment opportunities for minorities, women, individuals with disabilities, protected veterans, and military veterans.

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