Job Description

Job Description

Must Have Skills:

data science / software engineering background

Engineering experience- hands-on with ETL

Expert in DAX (language)

Expert in SQL

experience with data quality - will be doing 1st round of QA themselves

Responsibilities:

Responsible for administering, supporting, monitoring, and tuning the Power BI reporting environment.

Design, extend and enhance Power BI data models and development of new cubes.

Designing and developing advanced multidimensional and tabular SSAS models based on business requirements.

Leading efforts to design and implement efficient and scalable data models using SSAS multidimensional and tabular models.

Optimizing cube performance by fine-tuning measures, aggregations, partitions, and processing strategies.

Develop, test and deploy DAX based scripts, queries and functions in Power BI.

Creating and optimizing complex DAX expressions for tabular models to meet analytical needs.

Design and develop Power BI dashboards and reports.

Works closely with Power BI report users to tune and optimize Power BI reports and dashboards.

Serves as Best Practices resource for Power BI initiatives in the organization.

Conducts training and user-group sessions on Power BI.

Acts as the escalation point for Power BI-related issues.

Creating comprehensive documentation for SSAS models, DAX expressions, Power BI reports, and Paginated Reports to facilitate knowledge sharing within the team.

Mentoring and providing guidance to junior team members on SSAS, DAX, Power BI, and Paginated Reports development best practices.

Required Skills and Experience

Bachelor's degree in Computer Science, Information Technology, or a related field.

5+ years of BI Developer experience (SSAS, DAX, Power BI, Paginated Report, Power BI Gateway, Service, Security)

5+ overall industry experience in Data Analytics & Dashboarding/Reporting.

Strong proficiency in SQL, SSAS/AAS tabular modeling, DAX, Power BI, and Paginated Reports.

Experience working with Azure-based BI solutions including Azure SQL, Azure Synapse, Data Factory, Blob Storages & Data Lakes.

Excellent problem-solving and analytical skills.

Strong communication and collaboration skills.

Ability to work effectively in a team and independently.

Relevant certifications

(e.g., Microsoft Certified: Data Analyst Associate, Microsoft Certified: Azure Data Engineer Associate, Microsoft Certified: Power BI, etc.) are a plus.

Education: Bachelors Degree

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