Lead Consultant for Business Intelligence - WFH

TASQ is looking for lead consultants who specialize in Power BI with a focus on data. You must have advanced knowledge of Power BI and its data components, including Power Query/M, DAX, and dimensional modeling, with knowledge and experience in basic report design. Having a working knowledge of conventional SQL Server (data warehouse design, SSIS, and SSRS) and DirectQuery is helpful. You will also need to understand Power BI license models and be able to work with customers to help them achieve the most optimal licensing model for their business needs. You must have experience using the Databricks platform to develop, implement, and optimize data pipelines and workflows. You must have strong communication skills that allow you to regularly deal with clients and their staff, as well as with specialists from related fields, including database developers and software engineers. Your outstanding analytical and problem-solving skills and good grasp of both the technical and business sides of business intelligence, and your ability to always keep up to date with the latest updates for Power BI, will make you a good candidate for this role. If you are an individual who is highly interested in using Power BI technologies with a focus on data, and you work well with customers, you may be who we are looking for.

The pre-screening interview will be done over the phone.

Responsibilities
Conduct customer discovery meetings to determine reporting requirements Understand and work with customer on Power BI Licensing, and understand the limits/advantages of each licensing platform
Create well performing star schema data models for use with Power BI, including proper calculated columns and measures
Creating Power BI solutions for customers, including importing data from multiple sources,
building reports and dashboards, and creating appropriate data elements using DAX and source queries
Guide customers on deploying Power BI solutions to the Power BI service (Gateways,
DirectQuery, DataFlows, Data Updates)

Qualifications

Bachelor's degree in computer, engineering, data science or a related field; or equivalent work experience
5+ years working with data and business intelligence solutions on the Microsoft tool stack for Business Intelligence (SSRS, Power BI, PowerPivot (Excel), or PerformancePoint) , or other vendor Business Intelligence tools (Business Objects, MicroStrategy, Qlik, SAP)
Working knowledge of TSQL, data modeling, and reporting using Power BI or other Microsoft tools. Experience creating complete Power BI report solutions based on business questions with linked content, drilldowns, and nested parameters
Dynamic measure designs using advanced DAX techniques
Knowledge of data mashups and transformations using Power Query/M language
Utilize the Databricks platform to develop, implement, and optimize data pipelines and workflows.
Ability to report visual choices and visual interactions
Design, develop and implement user interfaces to ensure ease of use and minimal knowledge by the functional work group that will be using the database
Ability to gather requirements and conduct focus groups to determine the processes needed to assist and grow the business
Professional Skills:
Eagerness to contribute in a team-oriented environment
Excellent communication (written and oral) and interpersonal skills for both technical and nontechnical teams
Passionate about learning new technologies
Analytical approach to problem-solving; ability to use technology to solve business problems Ability to work in a fast-paced environment
Additional Preferred Experience:
Power BI tenant and workspace management to support development, testing, and deployment. Experience with analytics and custom visualizations for Power BI using Python and R.
Advanced SQL including some query tuning
Experience in the identification of data quality
Experience deploying Power BI solutions to the Power BI Report Server (on-premises). Experience deploying Power BI solutions using Power BI Embedded
Deploying cloud-based solutions using Microsoft Azure data services, including Azure Data Factory, Azure Data Lake, and Azure SQL DB