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27 Oct 2025
Data Analyst
Work from home
Agilus is recruiting for a Data Analyst in the Retail Space. Our retail client is seeking a Data Analyst to turn complex datasets into actionable insights that drive business growth and customer engagement. In this role, you will work with data from multiple sources—including Azure Databricks, Azure Data Factory, and streaming platforms—to deliver meaningful reporting, dashboards, and analytics. You will collaborate closely with business stakeholders to support use cases such as sales performance, customer behavior, and supply chain optimization. Responsibilities:- Analyze, interpret, and visualize data from the Azure data ecosystem (Databricks, Data Factory, Synapse, etc.) to support decision-making.
- Develop and maintain dashboards and reports that highlight key retail metrics (sales, inventory, customer engagement, supply chain).
- Support the ingestion and transformation of data from batch and real-time/streaming pipelines to ensure timely insights.
- Partner with data engineers and architects to ensure data models and pipelines align with business requirements.
- Provide ad-hoc analysis and insights to retail leaders on performance trends and opportunities.
- Ensure accuracy, consistency, and reliability of reporting by applying data quality checks and validation.
- Translate technical data into clear business stories and recommendations for stakeholders.
Successful candidates will have:- 3–5 years of experience as a Data Analyst or similar role.
- Proficiency in SQL and strong analytical skills for querying and transforming large datasets.
- Hands-on experience with visualization tools (e.g., Power BI, Tableau, or similar).
- Familiarity with working in Azure environments (Databricks, Data Factory, Synapse).
- Ability to interpret data from batch and streaming sources and turn it into actionable insights.
- Strong communication skills, with the ability to present findings to both technical and non-technical audiences.
Further additional qualifications:- Exposure to SAP data sources (ERP, BW, or S/4HANA) and retail data domains.
- Experience with Python or R for advanced analysis.
- Knowledge of retail KPIs and analytics use cases (customer segmentation, sales forecasting, inventory optimization).
What's in it for you:- Work with cutting-edge cloud data platforms to solve real-world retail challenges.
- Play a key role in shaping insights that directly impact customer experience and business strategy.
- Collaborative, innovative culture with strong opportunities for growth and learning.
Interested? Please apply directly online Agilus would like to thank all candidates for their interest in this opportunity. Due to the volume of resumes we receive; we may only be able to respond directly to those candidates being selected for an interview.We encourage you to visit agilus.ca regularly or subscribe to our email alerts at agilus.ca/Account/Register as new exciting employment opportunities become available daily.
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