Senior Data Analyst - STIBO/Reporting Tools (4-6 yrs)

About Ferguson : .

Since 1953, Ferguson has been a source of quality supplies for a variety of industries.

Together We Build Better infrastructure, better homes and better businesses.

We exist to make our customers' complex projects simple, successful, and sustainable.

We proactively solve problems, adapt and grow to continuously serve our customers, communities and each other.

Ferguson is proud to provide best-in-class products, service and capabilities across the following industries :

Commercial/Mechanical, Facilities Supply, Fire and Fabrication, HVAC, Industrial, Residential Trade, Residential Building and Remodel, Waterworks and Residential Digital Commerce.

Ferguson has approximately 36,000 associates across 1,700 locations.

Ferguson is a community of proud associates who operate with the shared purpose of building something meaningful.

You will build a career that you are proud of, at a company you can believe in.

Duties and Responsibilities :

- Data Analysis and Interpretation Leverage Stibo STEP, Databricks, Cosmos DB, and Azure Pipelines to analyze complex data sets.

- Identify trends, patterns, and opportunities to support data-driven decision-making.

- Develop comprehensive dashboards, reports, and visualizations using tools like Power BI and Tableau.

- Present insights and findings to collaborators, ensuring clear communication of sophisticated data.

- Work closely with data engineers and analysts to optimize and streamline data workflows.

- Support cloud migration initiatives and improve data quality through meticulous testing.

- Ensure data accuracy, consistency, and completeness across multiple platforms.

- Capture and record methodologies, processes, and findings to facilitate the sharing of knowledge.

- Stay ahead of the curve in data analysis, visualization, and process improvement.

- Contribute to the development of automation tools and frameworks for data validation.

Qualifications and Requirements :

- Bachelor's degree in Data Science, Analytics, Computer Science, or a related field.

- 4-6 years of relevant experience in data testing, visualisation, and analysis in a cloud environment.

- Expertise in Stibo STEP, Databricks, Cosmos DB, Azure Pipelines, and SQL.

- Experience with reporting tools like Power BI, Tableau, and data automation frameworks such as QuerySurge.

- Familiarity with testing tools such as JIRA, and exposure to Postman and MongoDB is a plus.

- Good ability to interpret sophisticated datasets and deliver actionable insights.

- Consistent track record in ETL, data warehouse testing, and cloud migration testing.

- Good interpersonal and communication skills to collaborate effectively across teams.

- Strong organizational skills to manage multiple tasks and deliverables.