Job Description

JOB SUMMARY

We are seeking a detail-oriented and technically strong data professional to design, build, and

support modern analytics and reporting solutions. This role works across SQL Server, Python,

Power BI, Azure Data Factory, and Microsoft Fabric to transform raw data into clear, reliable, and

actionable insights for the business. The ideal candidate combines strong technical execution with

the ability to partner closely with business stakeholders, ensuring data is accurate, automated,

well-documented, and easy to understand

DUTIES AND RESPONSIBILITIES
• Develop, maintain, and optimize data solutions using SQL Server, Azure Data Factory, and

Microsoft Fabric to support enterprise analytics and reporting needs
• Design and manage end-to-end data pipelines, from data ingestion through transformation

and consumption
• Build and maintain analytical and semantic data models that support scalable reporting and

self-service analytics
• Create and manage Power BI datasets, reports, and dashboards, applying best practices

in modeling, DAX, and visualization
• Ensure optimal performance across data models, queries, and refresh processes
• Use Python to automate data workflows, handle files, and perform data transformation and

validation tasks
• Implement and manage data security and access controls, including Power BI Row-Level

Security (RLS)
• Partner with business stakeholders to translate reporting and analytics requirements into

scalable, maintainable solutions
• Proactively identify, troubleshoot, and resolve data quality, pipeline, and reporting issues
• Produce and maintain clear documentation for data models, business logic, validation

rules, and operational processes

Qualifications

QUALIFICATIONS
• Degree in Information Technology, Computer Science, Data, or a related field
• Relevant hands-on experience delivering data, reporting, or analytics solutions
• Strong proficiency in SQL Server for querying, analysis, and supporting reporting solutions
• Hands-on experience with Power BI, including data modeling, DAX, report development,

refresh processes, and security fundamentals
• Ability to write Python scripts for automation, data transformation, and operational support
• Proficiency using PySpark within Spark environments (e.g., Fabric notebooks) to develop,

optimize, and operationalize scalable ETL/ELT transformations for medallion-style

pipelines.
• Experience working with Microsoft Fabric for data integration, modeling, and reporting
• Solid understanding of basic programming concepts and how they support data analysis

and automation
• Strong attention to detail, with a focus on data accuracy, consistency, and reliability
• Ability to clearly explain technical concepts and results to non-technical audiences

OTHER SKILLS AND ABILITIES
• Experience building and managing semantic models in Power BI or Microsoft Fabric
• Understanding of data warehousing concepts and analytical data design
• Experience working with large or complex datasets
• Familiarity with automated refreshes, scheduling, and operational monitoring of reports