Energy Data Analyst - Research, Cleaning & Reconciliation

Alex Staff; Turkey; On-site; TRY 3,352,000 - 4,789,000; Full time

Benefits offered by this job

Opportunities for learning and professional growth

B2B contract with paid vacation

Job summary

A dynamic data solutions provider is seeking a data specialist with strong Python skills to manage messy energy market data. The role focuses on tasks such as mapping data, reconciling formats, and cleaning time-series datasets. Ideal candidates will have experience with SQL and problem-solving, along with a penchant for research. This remote-first organization expects core overlap with UK business hours and offers competitive compensation based on experience.

Qualifications

• Fluent with Python libraries for data manipulation, especially pandas.
• Experience in SQL for complex queries and data management.
• Ability to clean and reconcile messy datasets based on past experiences.

Responsibilities

• Map BM units to power plants and fuel types using various data sources.
• Reconcile legacy data formats with current ones to ensure consistency.
• Clean time-series data, managing outliers and gaps effectively.

Skills

Strong Python skills

Solid SQL skills

Experience with messy, real-world data

Methodical and detail-oriented

Good documentation habits

Self-directed

Tools

Pandas

Numpy

PostgreSQL

dbt

Job description

A dynamic data solutions provider is seeking a data specialist with strong Python skills to manage messy energy market data. The role focuses on tasks such as mapping data, reconciling formats, and cleaning time-series datasets. Ideal candidates will have experience with SQL and problem-solving, along with a penchant for research. This remote-first organization expects core overlap with UK business hours and offers competitive compensation based on experience.