Data Analyst

Experience
2 Years
Salary
1,500 - 2,500 EUR
Job Type
Full Time
Job Shift
Morning
Job Category
Traveling
No
Career Level
Entry Level
Telecommute
No
Qualification
Relevant Education and Skill Set
Total Vacancies
1 Job
Posted on
Feb 3, 2025
Last Date
May 3, 2025
Company
Enzum , Estonia
Location(s)

Job Description

We are looking for a Data Analyst to support our energy and financial data analysis efforts. You will help gather, analyze, and visualize data, providing key insights to improve decision-making across teams. If you enjoy working with numbers, uncovering trends, and translating data into meaningful reports, this role is perfect for you!

Key Responsibilities

  • Analyze energy and financial data to identify patterns and insights.
  • Create visual reports and dashboards to communicate findings clearly.
  • Assist in forecasting and trend analysis for energy efficiency and cost optimization.
  • Support decision-making by providing key performance indicators (KPIs) and actionable insights.
  • Help automate data processing and reporting for improved efficiency.

What We Offer

  • Competitive salary and growth opportunities.
  • Flexible work arrangements, including remote work.
  • Supportive mentorship and learning opportunities.
  • A collaborative and inclusive company culture.
  • Access to industry events, training, and networking opportunities.

Job Specification

  • Some experience in data analysis or related field (internships, projects, or coursework count!).
  • Basic proficiency in Excel, SQL, or Python (we’ll support your learning!).
  • Familiarity with data visualization tools (Tableau, Power BI, or Google Data Studio).
  • Strong problem-solving skills and a keen eye for patterns in data.
  • Good communication skills—ability to explain insights in a clear and simple way.
  • Interest in renewable energy, finance, or sustainability is a plus!

Preferred Qualifications (Nice to Have, but Not Required)

  • Knowledge of financial modeling or forecasting.
  • Experience working with energy data or sustainability metrics.
  • Exposure to machine learning concepts or predictive analytics.
  • Understanding of basic statistical methods.
Renewables & Environment - Siedlce, Poland

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