Back
Tier-1 brand, mid-level generalist data role, metro location, and broad cloud/ML skillset increase competition.
Core BI, SQL, Python and cloud skills are transferable though logistics analytics preference adds moderate domain bias.
Explicit 3+ years requirement plus mandatory SQL, Python, Azure and ML skills increases filter strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Analyse large datasets from multiple systems to generate actionable insights and support business performance reporting.
Build and maintain Power BI dashboards and reports while ensuring data accuracy and reliability.
Write and optimize SQL queries for data extraction and validation and respond to day-to-day adhoc requests.
Minimum 3 years of experience as a Business Analyst with strong skills in Power BI, Excel, and SQL.
Hands-on experience in ML model development and deployment, including time-series forecasting.
Experience working with large datasets in cloud environments, specifically Azure (Databricks, Azure ML, Data Factory, Synapse).
Not explicitly mentioned in the JD: notice period or mandatory educational qualifications.
Experienced in handling complex data analytics projects in fast-paced environments, especially with logistics or supply chain datasets (preferred).
Proficient in Python (pandas, PySpark) alongside SQL and Power BI, indicating strong data manipulation and visualization capabilities.
Comfortable working directly with stakeholders to understand requirements and deliver data-driven solutions that support business decisions.