Senior BI Developer

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Senior BI Developer Job Opportunity at Samsung Electronics

Are you a seasoned BI Developer looking to make a significant impact in a dynamic, innovative environment? Join Samsung Electronics in Schiphol, Netherlands, and be a part of our Central Data Analytics team, delivering cutting-edge marketing and business analytics solutions.

Position Summary

As a BI Developer, you will develop robust BI solutions such as self-service dashboards, data pipelines, and workflows. You'll transform business requirements into technical solutions with a strong focus on visualizations. Excellent communication with various stakeholders, including Business units, the Marketing department, and other Data and Analytics teams, is crucial.

Role and Responsibilities

Stakeholder Management

  • Collaborate with Business Owners, Data Engineers, Business Analysts, and Data Scientists to align business requirements with data solutions.
  • Map requirements and projects from various stakeholders, including Business Divisions and Marketing Strategy teams.
  • Establish collaboration with European and global teams on BI and Analytics projects.
  • Promote data-driven decision-making through clear and intuitive communication of technical concepts.
  • Train and guide stakeholders in utilizing BI tools and solutions.

Data Visualization and Reports Creation

  • Create and maintain automated reporting processes for Sales, Marketing, Operations, etc.
  • Manage self-service data visualization projects by developing foundational layers for dashboard reporting.
  • Convert data into dashboards, graphs, charts, and reports using BI tools such as Power BI.
  • Develop and manage BI extension tools for user interaction, such as PowerApps.
  • Automate reporting via paginated reports in Power BI or PowerAutomate.
  • Utilize Robotic Process Automation to generate standard marketing performance reports.
  • Handle ad-hoc report and data requests.

Data Engineering

  • Collect and connect data from multiple sources such as GCP, Azure, and local servers based on business needs.
  • Model raw data into clean, tested, and reusable datasets.
  • Apply various and automated transformations (ETL, ELT) to data pieces.
  • Perform maintenance and troubleshooting activities for data engineering and BI tools, guiding junior team members as needed.

Data Infrastructure and Governance Support

  • Support Data Warehouse governance and access management.
  • Recommend strategies to enhance the performance and capacity of BI tools.
  • Support and advise on developing security and authentication standards.
  • Maintain technical architecture documents accurately.
  • Help define BI standards, guidelines, and best practices for business and technical teams.

Your Team

You'll be part of the BI team within the Central Data Analytics group, which plays a crucial role in Samsung's Data & Analytics success. Our team consists of skilled data engineers, BI & visualization developers, and collaborates closely with the Advanced Analytics team.

Skills and Qualifications

Requirements

  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Econometrics, Business Information Management, or a related field.
  • 5+ years of experience in BI, Dashboard Development, or Analytics.
  • Technical expertise in ETL, relational database management, and data modeling using tools like Python, SQL, and BigQuery.
  • Proficiency in data visualization tools such as Power BI, Tableau, or Looker.
  • Knowledge and hands-on skills in data engineering, API, and cloud computing (GCP, Azure, and Databricks).
  • Fluency in English.
  • Strong ability to manage multiple tasks and projects while forging strong relationships within and outside the department.
  • Excellent written and verbal communication skills.
  • Proficiency in Microsoft Excel, Word, and PowerPoint.

Preferred Qualifications

  • Skills in PowerApps and PowerAutomate.
  • Experience in Robotic Process Automation and web scraping.
  • Knowledge in Statistics, Econometrics, and Machine Learning.
  • Hands-on experience in Machine Learning engineering.