Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Понятные обязанности, требования уровня junior и полноценный соцпакет делают вакансию хорошим стартом, хотя широкий круг аналитических задач и работа в офисе могут подойти не всем.
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Широкий круг задачАктуальная аналитикаПолный соцпакетЭнергетика
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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