Senior Power BI Consultant
Budget: $25 – $50 USD
We're looking for a skilled Power BI Consultant!
In this role, you will be a crucial player in our project teams, focusing on crafting and delivering top-notch BI solutions using Power BI. Your responsibilities will include the entire project lifecycle, from gathering customer requirements to presenting the final BI products. You'll work closely with customers in an agile environment, ensuring our solutions perfectly align with their needs.
Key technologies:
-> At least two years of experience in the Power BI platform field.
-> Proficiency in SQL, Power Query (M language), and DAX.
-> Understanding of Data Warehousing and Business Intelligence concepts.
-> Solid experience with designing dimensional data models, including Power BI design patterns.
-> Good understanding of data visualization design principles.
Nice to have:
-> Experience and willingness to conduct training and workshops in the Power BI area.
-> Experience with Azure DevOps or any other work-tracking service. Knowledge of Azure and data engineering fundamentals.
-> Understanding Data Lake and Data Lakehouse architectures.
-> Familiarity with Databricks, Microsoft Fabric, Azure Synapse Analytics, or Snowflake data platform.
-> Proficiency with Azure Data Factory and data orchestration approach.
Soft skills:
-> Excellent analytical and time management skills.
-> Strong attention to detail is a must.
-> Proactive and cooperative approach.
-> Effective communication skills.
-> Commitment to continuous self-development, with the ability to adapt to new technologies.
-> English proficiency at a minimum of level B2, primarily for international projects.
What will you do?
-> Collaborating closely with project stakeholders to understand analytical and reporting needs.
-> Translating business requirements into technical solutions.
-> Designing and implementing new data models and reports utilizing best practices.
-> Optimizing existing data models and reports to improve efficiency and impact.
-> Working with data engineers on the reporting layer to maintain data integrity and quality.
-> Supporting customers in Power BI enterprise adoption and implementation.
In this role, you will be a crucial player in our project teams, focusing on crafting and delivering top-notch BI solutions using Power BI. Your responsibilities will include the entire project lifecycle, from gathering customer requirements to presenting the final BI products. You'll work closely with customers in an agile environment, ensuring our solutions perfectly align with their needs.
Key technologies:
-> At least two years of experience in the Power BI platform field.
-> Proficiency in SQL, Power Query (M language), and DAX.
-> Understanding of Data Warehousing and Business Intelligence concepts.
-> Solid experience with designing dimensional data models, including Power BI design patterns.
-> Good understanding of data visualization design principles.
Nice to have:
-> Experience and willingness to conduct training and workshops in the Power BI area.
-> Experience with Azure DevOps or any other work-tracking service. Knowledge of Azure and data engineering fundamentals.
-> Understanding Data Lake and Data Lakehouse architectures.
-> Familiarity with Databricks, Microsoft Fabric, Azure Synapse Analytics, or Snowflake data platform.
-> Proficiency with Azure Data Factory and data orchestration approach.
Soft skills:
-> Excellent analytical and time management skills.
-> Strong attention to detail is a must.
-> Proactive and cooperative approach.
-> Effective communication skills.
-> Commitment to continuous self-development, with the ability to adapt to new technologies.
-> English proficiency at a minimum of level B2, primarily for international projects.
What will you do?
-> Collaborating closely with project stakeholders to understand analytical and reporting needs.
-> Translating business requirements into technical solutions.
-> Designing and implementing new data models and reports utilizing best practices.
-> Optimizing existing data models and reports to improve efficiency and impact.
-> Working with data engineers on the reporting layer to maintain data integrity and quality.
-> Supporting customers in Power BI enterprise adoption and implementation.
Related categories:
SQL
Business Analysis
Azure
Business Intelligence
Data Visualization
Power BI
Snowflake