Lead Powerbi Developer
Max Vendor Pay Rate: $80
Hybrid
Pre-Screen questions to be answered at the top of the resume:
1 How many years of Power BI dashboard development do you have working in Power BI Service?2 How many years of Python Experience working with data frames and BI Tooling API solutions do you have?
3 How many years of Power Automate and Power Apps experience do you have? Can you briefly explain the most complex flow you have created?
4 How many years of Tableau Development (Tableau Desktop and Tableau Server) experience do you have?
5 Rank your SQL proficiency on a scale of 1-10 (let them know to be honest as I will drill them on all technical skills)
Job Description: Please also confirm the following information: Power BI, SQL, Python, Power Automate, Tableau (Order of skillset)
Ideally familiar with financial services datasets across investment, product and distribution functions - highly desirable5+ years of Power BI application development experience including visualizations, parameters, and report optimization
3+ years of Tableau application development experience, including visualizations, parameters, and report optimization
5+ years of hands-on SQL Experience
3+ years of working on Power BI or Tableau Administration Responsibilities (Permissions, Server Maintenance and upgrades, Monitoring)3+ years working in Python, Pandas Data Frames, API-driven workflows.
Expertise across multiple BI platforms and data visualization tools include Tableau and Power BI
Strong experience with performance tuning business intelligence and database platforms for maximum performance in each technical configurationExpertise with multiple database platforms including relational databases (ie. SQL Server and Oracle) as well as cloud-based data warehouses such as Microsoft Fabric and Snowflake
Experience with both server and desktop-based data visualization tools
Expertise with managing and mining very large internal and external data sets
Experience with sourcing external data sets to meet business needs
Demonstrated experience with testing business hypotheses, asking the right questions to provoke thoughts from business users and ultimately using data to test and validate hypothesisVery strong experience with quickly building data visualization worksheets and dashboards to analyze, view and interpret data sets
Hands-on experience with Python for building automations for business processes
Demonstrated experience with using predictive, prescriptive and descriptive data analytics to test, question and solve business problems
Have a consulting mindset when working with internal clients across multiple departments of the organizationBachelor's degree in Computer Science or equivalent, with a strong preference in a Data-centric major.