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Ecolab

Posted 4 Nov 2026

Data Analyst

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Employment
Full time
Posted
4 Nov 2026

About the role

 Key Responsibilities:
  • Collaborate with business stakeholders to understand reporting and analytics requirements and translate them into actionable insights and BI solutions.
  • Develop and maintain dynamic and interactive dashboards and reports using BI tools such as Power BI Fabric.
  • Develop, design, and maintain Power BI reports and dashboards to visualize data for business insights and decision-making.
  • Strong understanding of SQL, including writing and troubleshooting queries, working with database views, and understanding stored procedures.
  • Create and manage data models and ETL(ADF) processes within Power BI to ensure data accuracy and consistency.
  • Work with large and complex datasets from various sources to ensure data accuracy, consistency, and integrity.
  • Develop and optimize ETL (Extract, Transform, Load) processes to support reporting and analytics needs.
  • Monitor and maintain BI platform performance, troubleshoot issues, and provide support to end users.
  • Stay updated on industry best practices, emerging trends in BI, and data visualization techniques.
  • Experience in Power automate is a must, Databricks, Python experience is a plus
 Qualifications:
  • 2 to 4 years of experience in data analysis, business intelligence, or related roles.
  • Proficiency in SQL, data modelling, and data visualization tools (PowerBi).
  • Strong analytical and problem-solving skills with the ability to translate complex data into actionable insights.
  • Knowledge working with ETL(ADF) processes and data warehousing concepts.
  • Knowledge of statistical analysis and predictive modelling techniques is a plus.
  • Excellent communication and presentation skills with the ability to communicate complex data insights to non-technical stakeholders.
  Preferred Skills: 
  • Experience with cloud-based BI platforms and services (e.g., AZURE, Databricks, Snowflake).
  • Relevant certifications in business intelligence, data analysis, or related fields.
  • Familiarity with Scrum methodologies.

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