Data Analyst – Retail (6-Month Contract)

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Experience 4-6 year's only.
This is a 6-month contract role. Candidate must be comfortable with the contract engagement and able to join immediately (urgent — onboarding within ~a week.
mandatory experience includes retail or e-commerce datasets, Azure Data Lake Storage, Azure Data Factory, Google Cloud Storage, PySpark, Spark, Delta Lake and medallion architecture.
Strong Data Analyst Profile with Python, SQL, and data-pipeline expertise, ideally with retail / e-commerce datasets
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Mandatory (Experience 1): Must have 4+ years of hands-on data-analyst experience, working with large datasets across areas such as sales, inventory, pricing, promotions, and customer behaviour.
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Mandatory (Tech skill 1): Must have strong hands-on Python for data processing, transformation, automation, and analysis
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Mandatory (Tech skill 2): Must have strong SQL skills, including complex queries, joins, aggregations, and data validation.
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Mandatory (Tech skill 3): Must have a solid understanding of Data Lake architecture, ingestion, storage, and processing workflows
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Mandatory (Tech skill 4): Must have hands-on experience with ETL / ELT pipelines, data integration, and transformation
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Mandatory (Tech skill 5): Must have experience with Azure or GCP data services.
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Mandatory (Tech skill 6): Must have understanding of or experience with Databricks and distributed data processing.
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Mandatory (Tech skill 7): Must have knowledge of data modeling, data warehousing, and Lakehouse architecture
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Mandatory (Tech skill 8): Must have experience with Power BI, Tableau, or Excel for reporting.
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Mandatory (Communication): Must have strong analytical, documentation, and stakeholder-communication skills.
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Mandatory (Education): Must hold a Bachelor’s degree in Computer Science, IT, Engineering, or a related field.
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Mandatory (Note1): This is a 6-month contract role. Candidate must be comfortable with the contract engagement and able to join immediately (urgent — onboarding within ~a week

Work arrangement
Yes