
Senior Data Analyst
Ecolab · IND - Karnataka - Bangalore - EDC
- Manufacturing & Industrial
- 10,001+ employees
- St. Paul, MN
Strong hiring record · median 50 days open
Hiring signal
Actively hiring
Posted 3 days ago · still listed on the employer's own board · How we score
All reasons
In its favour
- Posted 3 days ago
- Still listed on the employer's own board
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
- Take additional responsibilities as & when required
- Help train new hires in all processes & skillsets required & mentor them
- Coach, motivate and guide the junior team members
- Bi-monthly presentation on the concepts & new features which can be implemented in the day-to-day work.
Qualifications
- At least 5-8 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
- Ability to work with global teams across time zones
- Clear communication skills
- Communicate data issues, variances, and root-cause findings with clear analysis and recommendations
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