Bangalore

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Data Analyst I
Description
About the Role:
We are looking for a Data Analyst I to join our dynamic team at Noatum Logistics. In this role, you will transform operational and financial data into strategic insights that drive performance improvement, cost reduction, and enhanced service levels. You will collaborate within a matrix environment to develop models, dashboards, and reports that support decision‑making.
Key Responsibilities:
- Conduct thorough analysis of business needs and document scope requirements.
- Lead full Power BI development, including data visualization and back‑end data modeling.
- Build and maintain dashboards and reports to support operational and strategic initiatives.
- Clean, model, and analyze data using SQL, DAX, and statistical methods.
- Troubleshoot BI issues using tools such as Power Query, Power Pivot, DAX, and SQL.
- Translate complex data into clear and actionable insights for internal teams and customers.
What We Offer:
- Permanent Contract – Long‑term stability and career development.
- Professional Growth – Continuous learning and development opportunities.
- Collaborative & International Environment – Work with global and diverse teams.
- Corporate University – Continuous training programs.
- Wellness program.
At Noatum Logistics, we guarantee equal opportunities and non‑discrimination based on sex, gender, race, religion, disability, age, or sexual orientation. We strive to promote talent in all its diversity while eliminating any form of discrimination.
Minimum requirements
- Bachelor’s degree in Business, Logistics, Mathematics, Statistics or related field, or equivalent experience.
- 1–3 years of experience in data analytics or business intelligence.
- Hands‑on experience with SQL or scripting languages such as Python or R (preferred).
- Strong proficiency in Power BI (required).
- Experience writing DAX expressions (preferred).
- Knowledge of statistical concepts and data modeling techniques (preferred).
- Excellent communication and presentation skills.
- Fluent English, written and spoken (required).
- Cargowise and logistics/supply chain experience (preferred).
Competencies
- data analyst