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Business Intelligence Engineer

Nok Human Capital129 open roles

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Your applicationOpen nowBusiness Intelligence EngineerNok Human Capital
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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. Nok Human Capital postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.7%14 days
  5. 35.6%30 days
  6. 58.0%60 days
This job: first seen 11 hours ago

Nok Human Capital median: 1 days open

The posting

About the Client

Our client is seeking experienced Business Intelligence professionals to support its global engineering and operations teams through scalable data solutions, dashboards, and actionable insights.

Job Title

Business Intelligence Engineer

Job Summary

NOK Human Capital is hiring a Business Intelligence Engineer on behalf of its client. The successful candidate will be responsible for developing and maintaining data pipelines, optimizing SQL queries, and building dashboards and reporting solutions. The role involves working closely with engineering and business stakeholders to translate requirements into reliable insights that support operational and engineering decisions.

Key Responsibilities

  • Design, develop, and maintain ETL pipelines to extract, transform, and model data from multiple sources.
  • Build and optimize complex SQL queries for large-scale data analysis and reporting.
  • Develop and maintain dashboards and self-service reporting solutions.
  • Collaborate with engineering and business teams to understand requirements and deliver actionable insights.
  • Automate reporting workflows and data processing tasks using Python.
  • Ensure data quality, accuracy, and consistency across pipelines, dashboards, and reports.
  • Document data models, pipelines, and business logic to support knowledge sharing.
  • Conduct ad hoc analyses and deep-dive investigations to address business and operational questions.

Job Requirements

  • Bachelor's degree in Computer Engineering, Computer Science, or a related engineering field, or a master's degree in Analytics or Data Science.
  • Minimum 5 years of relevant experience in business intelligence or related data roles.
  • Advanced SQL proficiency, including complex queries, window functions, and query optimization.
  • Intermediate to advanced Python skills, particularly in data manipulation, scripting, and automation.
  • Strong understanding of ETL processes and data integration patterns.
  • Solid knowledge of dimensional data modeling, including star and snowflake schemas.
  • Experience developing dashboards and self-service reporting solutions.
  • Strong analytical and problem-solving skills.
  • Excellent written and verbal communication skills, with the ability to present insights to technical and non-technical stakeholders.

Selection Process: A technical assessment is required.

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