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Ecolab

Data Analyst

Ecolab Bangalore, Karnataka, India

Chemical Manufacturing · 10,001+ employees

3 d ago
data-analyst Mid (2-5 yrs) Full-time India
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About the role

Develop Power BI analytics solutions, scalable data models, advanced DAX calculations, reusable datasets, and ELT and data warehousing pipelines. Support analytics rollouts and incidents, collaborate across teams, and present new concepts and features.

What they look for

Power BI Data Modeling DAX SQL Azure Python Snowflake Microsoft Fabric Data Warehousing ELT Azure Data Pipelines dbt Tabular Editor Paginated Reports Power Automate Data Analysis

Requirements

Requires 3–5 years of data analytics experience and an undergraduate or postgraduate degree, with knowledge of Power BI, SQL, Azure, Python, and related data tools. Candidates should have experience with analytics deployments, cross-functional and client collaboration, project deadlines, Agile/DevOps practices, and clear communication of data findings.

Full description

Responsibilities

  • Provide expertise in PowerBi Analytics
  • Create data models, advanced DAX calculations, and custom measures to support business analytics needs
  • Create ELT flows, Data warehousing, Azure Data Pipelines
  • Stay up to date with Power BI features and best practices.
  • Innovate and be creative in your data analysis, problem solving and presentation of solutions
  • Cross functional capabilities in various teams in Advance Analytics
  • Handle outages or issues raised on Service now in the form of tickets / incidents
  • Bi-monthly presentation on the concepts & new features which can be implemented in the day-to-day work.

Qualifications

  • At least 3-5 years’ experience in data analytics along with UG / PG degree
  • Good understanding of PowerBI Analytics, Data Flows, SQL, Cloud Solutions (Azure) + Python.
  • Experience in Snowflake, MS Fabric, Tabular Editor, Paginated reports, Power automate & dbt
  • Build and maintain scalable data models using modern tools (e.g., Snowflake, dbt). Translate defined business logic into clean and reusable datasets.
  • Experience in supporting Analytic solution roll outs and working across different time zones.
  • Experience managing projects or working towards a deadline.
  • Working with clients or customers internal or external.
  • Experience working in an Agile/DevOps environment using design thinking methodology.
  • Experience with effective communication at different levels in the organization.
  • Willingness to accommodate work schedules that align with onsite hours & weekend schedules
  • Upskill on new technologies to implement on the job / new business requirement
  • Strong attention to detail and ability to ensure data accuracy
  • Clear communication skills
  • Communicate data issues, variances and root-cause findings with clear analysis and recommendations

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