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3 дня назад

Data Analyst (Energy)

Формат работы
onsite
Тип работы
fulltime
Грейд
junior
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
Data Analyst (Energy): Building reusable data models, analytics solutions, dashboards, and sustainable data pipelines for commercial decision-making with an accent on data quality, statistical analysis, and business intelligence. Focus on cleaning high-volume datasets, forecasting trends, establishing data governance, and communicating actionable insights to cross-functional stakeholders.

Location: Findlay, Ohio, United States; travel up to 10%

Company

hirify.global is an energy industry corporation providing commercial operations and analytics opportunities.

What you will do

  • Collaborate with business partners and cross-functional teams to deliver sustainable analytics solutions and process improvements.
  • Understand business processes and data sources, model data for reuse, and support analytics data solutions.
  • Acquire, clean, preprocess, query, and analyze large datasets to identify trends, patterns, and correlations.
  • Develop analytical models to forecast future trends and outcomes.
  • Create dashboards, reports, charts, graphs, and presentations that communicate actionable findings.
  • Maintain data quality through audits and validation, support data governance, and help build data pipelines, automations, and advanced analytics solutions.

Requirements

  • Bachelor’s degree required, preferably in Business, Engineering, Computer Science, Information Systems, Mathematics, or a related field.
  • Zero to two years of experience required.
  • Strong communication and time management skills.
  • Ability to identify data sources, query data, perform exploratory analysis or modeling, present historical insights and business justification, and support data-driven business changes.
  • Ability to manipulate and analyze complex, high-volume, high-dimensional data from varying sources and communicate quantitative analysis clearly and precisely.
  • Ability to think critically and solve problems with incomplete information or ambiguous requirements, using flexible analytical approaches.
  • Skills in business partnering, communication, critical thinking, data analysis, data operations, data reporting, adaptability, digital transformation, influencing others, metrics management, and work management.

Nice to have

  • Exposure to business intelligence self-service tools such as Power BI or Tableau.
  • Exposure to data transformation tools such as SQL, ADF, Synapse, Power Query, M, Databricks, or similar tools.

Culture & Benefits

  • Collaborative team environment that welcomes new ideas and diverse perspectives.
  • Professional development and personal growth opportunities.
  • Health, vision, and dental insurance.
  • Paid time off, paid parental leave, and 401(k) matching.
  • Educational reimbursement and eligibility for a discretionary annual bonus program.

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