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Senior Data Analyst/BIA

Reads like a Data Engineer role: pipelines and data infrastructure.

Pay
Pay not listed
Work setting
Remote — work setting source
Work setup in the employer’s posting: TELECOMMUTE
From the employer’s posting
Employment
Not stated

What you’ll work on

Full posting
  • Analyze data sources and write scripts for examination

  • Build data structures and design data transformations

  • Execute queries and formulate datasets with preliminary statistical indicators

  • Develop mathematical and statistical models to derive indicators

  • Design processes to automate data product workflows

From the employer’s posting
Conduct research and analyze data, writing scripts for examination
Build data structures and design data transformations
Execute queries on data to enable detailed analysis
Develop models utilizing mathematical, statistical, and analytical methods to derive requested indicators
Design processes for automating data product workflows

What you’ll bring

All qualifications

Core experience

  • Bachelor's degree in a quantitative field (math, statistics, economics, or computer science)
  • Proficiency in ETL and familiarity with multiple data formats
  • Python programming and Pandas libraries
  • Understanding of OLAP cubes
  • Familiarity with data governance, security, and data privacy regulations

Preferred experience

  • Experience with Azure, AWS, or Google Cloud data platforms (Azure preferred)
Qualification wording
Bachelor's degree in a quantitative field such as mathematics, statistics, economics, or computer science
Proficiency in ETL and familiarity with multiple data formats
Competency in programming languages, including Python
Understanding of OLAP cubes
Familiarity with data governance and security practices, including adherence to data privacy regulations
Background in cloud-based data platforms like Azure (preferred), AWS, or Google Cloud

Tools in this posting

  • Python
  • AWS
  • Azure
  • Power BI
  • pandas
  • GCP
Source — Tool mentions in context
We are looking for a highly skilled and experienced Data Engineer passionate about data analysis to join our team. The perfect candidate will demonstrate mastery of working with large datasets, expertise in ETL processes, familiarity with diverse data formats, and proficiency in data visualization tools like Power BI. They should excel at collaboration with cross-functional teams. Responsibilities Conduct research and analyze data, writing scripts for examination Perform analysis of data sources aligned with the data product methodology Build data structures and design data transformations Execute queries on data to enable detailed analysis Formulate datasets that represent preliminary statistical indicators Develop models utilizing mathematical, statistical, and analytical methods to derive requested indicators Design processes for automating data product workflows Requirements Bachelor's degree in a quantitative field such as mathematics, statistics, economics, or computer science Proficiency in ETL and familiarity with multiple data formats Competency in programming languages, including Python Knowledge of Pandas libraries Understanding of OLAP cubes Familiarity with data governance and security practices, including adherence to data privacy regulations Background in cloud-based data platforms like Azure (preferred), AWS, or Google Cloud Skills in problem-solving and analytical thinking, with the capability to resolve data-related issues and identify optimization opportunities Skills in communication and collaboration, with the ability to translate technical concepts for non-technical stakeholders

Posting record

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Actively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 1, 20262 days ago
Recorded sightings
4
Last seen by us
Nov 4, 2026
Employer says posted
Sep 29, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

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Day 2

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Job description

View original posting ↗

We are looking for a highly skilled and experienced Data Engineer passionate about data analysis to join our team. The perfect candidate will demonstrate mastery of working with large datasets, expertise in ETL processes, familiarity with diverse data formats, and proficiency in data visualization tools like Power BI. They should excel at collaboration with cross-functional teams. Responsibilities Conduct research and analyze data, writing scripts for examination Perform analysis of data sources aligned with the data product methodology Build data structures and design data transformations Execute queries on data to enable detailed analysis Formulate datasets that represent preliminary statistical indicators Develop models utilizing mathematical, statistical, and analytical methods to derive requested indicators Design processes for automating data product workflows Requirements Bachelor's degree in a quantitative field such as mathematics, statistics, economics, or computer science Proficiency in ETL and familiarity with multiple data formats Competency in programming languages, including Python Knowledge of Pandas libraries Understanding of OLAP cubes Familiarity with data governance and security practices, including adherence to data privacy regulations Background in cloud-based data platforms like Azure (preferred), AWS, or Google Cloud Skills in problem-solving and analytical thinking, with the capability to resolve data-related issues and identify optimization opportunities Skills in communication and collaboration, with the ability to translate technical concepts for non-technical stakeholders
Source details

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Pay

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Location & working pattern

Ukraine

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