Data & Insights Analyst
4 weeks ago
**Key Responsibilities**:
**Data Engineering**:
- Source, validate, and maintain curated data assets including sales transactions, inventory, PO receipts, master data, and loyalty data.
- Build and maintain data pipelines using tools such as Azure Synapse and Databricks.
- Perform investigations when necessary to ensure data integrity in Data Marts
**Operational Reporting**:
- Create and update automated and manually updated reports/dashboards using PowerBI, and Excel.
- Handle ad-hoc reporting requests and exploratory analytic requests and ensure timely delivery of insights.
**Data Extract Requests**:
- Manage automated data requests for various departments including marketing, merchandising, and legal.
- Fulfill ad-hoc data requests from internal and external stakeholders, ensuring data accuracy and relevance.
**Advanced Analytics**:
- Utilize SQL, Python, and PySpark as part of data enablement efforts, and collaborate with advanced analytics teams to offer guidance on best practices for utilizing data in their analytical models.
- Leverage Azure interfaces (Synapse and Databricks) to enhance data processing and analysis capabilities.
**Data Stewardship**:
- Maintain and update data marts to support reporting and analysis needs, ensuring consistency and performance.
**Collaboration and Knowledge Sharing**:
- Work closely with other teams to ensure data dependencies are met and insights are effectively communicated.
- Maintain centralized queries, code, and pipelines to facilitate knowledge sharing and reduce single points of failure.
- Act as an advocate for our data strategy by guiding stakeholders how to access and retrieve their data, empowering them to leverage available resources effectively.
**Qualifications**:
- Bachelor’s or master’s degree in Math, data science, Computer Science, Information Systems, or a related field.
- Proven experience with SQL, PowerBI, Excel, and Azure interfaces (Synapse and Databricks).
- Proficiency with cloud-based data platforms and tools such as Azure Synapse, Databricks, or equivalent
- Strong understanding of database management systems (SQL and NoSQL) and experience with data warehousing concepts and ETL processes.
- Strong analytical skills with proficiency in Python and PySpark for data analysis and pipeline building.
- Excellent communication and collaboration skills to work effectively with cross-functional teams.
- Ability to manage multiple tasks and projects simultaneously, with a keen eye for detail and accuracy.
This is a hybrid role based in Calgary
**About Us**
At Marks, we want you to experience an extraordinary career in helping to lead our brand's evolution to be Canada’s number one destination for industrial and casual apparel and footwear. As one of Canada’s leading apparel retailers, and a valued part of the Canadian Tire family of companies, Mark’s stands out for its commitment to comfort, quality and style. Mark’s is a leader in product development, innovation and quality through its assortment of industrial apparel, footwear and accessories, with strong private and exclusive brands. Join us, where there's a place for you here.
**Our Commitment to Diversity, Inclusion and Belonging**
We are committed to fostering an environment where belonging thrives, and diversity, inclusion and equity are infused into everything we do. We believe in building an organizational culture where people are consistently treated with dignity while respecting individual religion, nationality, gender, race, age, perceived ability, spoken language, sexual orientation, and identification. We are united in our purpose of being here to help make life in Canada better.
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