Location: REMOTE / USA Based
Work: FULL-TIME
Start Date: ASAP
Nationality: ANY
Windows Management Experts (WME) is looking for a Power BI Analytics Engineer role for one of our valued partners. This role will provide technical leadership for their expanding Data & AI team. This role can be located anywhere in the United States.
As a Power BI Analytics Engineer, you will work with customers to identify opportunities and scenarios where Azure data analytics tools from Microsoft and others can benefit their business. The ideal candidate has experience in data analytics technologies (Fabric, Azure Data Lake, Databricks), relational services (Azure SQL), and ETL/ELT tools (Synapse Analytics and Data Factory. You will deliver projects utilizing strong business, technical, and interpersonal skills.
The successful candidate will be a self-motivated individual, who can work effectively in dynamic conditions and within deadlines. That said, the preferred candidate should expect to work 40 hours per week and should be flexible enough to work part-time hours as well.
Responsibilities Include:
- Working with customers to analyze business goals and define technical and functional needs.
- Facilitating strategy sessions specific to data analytics, reporting use cases, strategy and analytics architecture design.
Qualifications:
- First and foremost, you should enjoy what you do and have a great attitude!
- Ability to engage in customer settings and discern client business needs
- Desire to work in a team environment and ability to work across organizational functional boundaries
- Excellent presentation, verbal and written communication, and time management skills
- Previous consulting experience.
- 5–10 years of Data Analytics, Modelling, ETL, Processing, Dashboard, and Power BI front-end visualizations development
- Power BI experience
- Support of large-scale analytical platforms and the modern data warehouse
- Ability to implement cloud-based data ingestion (ETL vs ELT) solutions
- Experience with Azure SQL and cloud data solutions
- Experience with Azure Synapse, Azure Data Lake, Delta Lake, and Lakehouse frameworks
- Experience with Azure Data Factory
- Designing automated processing, data validation, error checks, and alerts
- Data Visualization, Auditing, and Data Mining
- Semantic modelling and Kimball dimensional model
Core Values:
- Integrity (Doing What’s Right)
- Inclusion (Encouraging Diversity)
- Teamwork (Working Together)
- Excellence (Being Your Best)
- Accountability (Taking Personal Responsibility)
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.
