Remote - Power BI Developer - ref. o5973023
APN Consulting Inc Jersey City
APN Consulting has an immediate need for a direct client requirement:Title: Power BI DeveloperType: Full Time/PermanentLocation: Jersey City, NJ (Hybrid- 3 Days) Position Overview: As a Senior Software Engineer specializing in Data Analytics with a focus on Power BI, you will be a key player in designing, developing, and implementing robust data analytics solutions.
The ideal candidate will have a strong background in software engineering, a deep understanding of data analytics principles, and hands-on experience with Power BI.Responsibilities: Power BI Development: Design, develop, and maintain Power BI reports and dashboards to provide actionable insights for business stakeholders.
Data Modeling: Work closely with data engineers and analysts to design and implement effective data models that support business reporting and analytics requirements. Integration: Integrate Power BI solutions with other systems and data sources to create seamless and automated reporting processes.
Performance Optimization: Optimize Power BI reports and queries for performance and efficiency, ensuring timely and accurate delivery of analytics to end-users. Collaboration: Collaborate with cross-functional teams, including data scientists, business analysts, and software engineers, to gather requirements and ensure alignment with business goals.
Quality Assurance: Conduct thorough testing of Power BI solutions to ensure accuracy, reliability, and adherence to business requirements. Documentation: Create and maintain technical documentation, including data models, report specifications, and user guides.
Training and Support: Provide training and support to end-users, helping them understand and maximize the value of Power BI analytics. Qualifications: Bachelor39;s or Master39;s degree in Computer Science, Software Engineering, Data Science, or a related field.
Proven experience as a Senior Software Engineer with a focus on data analytics and Power BI. Complex Data Modeling: Proficiency in designing and developing sophisticated data models using Power BI Desktop. Expertise in utilizing Power BI39;s data modeling capabilities like calculated columns, measures, and relationships to build efficient, scalable models.
DAX Proficiency: Advanced knowledge in Data Analysis Expressions (DAX) for creating complex calculations, measures, and business logic. Ability to use DAX to build dynamic, context-aware calculations, and to optimize DAX for performance in large datasets.
Power Query and Data Transformation: Extensive experience with Power Query for extracting, transforming, and loading (ETL) data. Skilled in writing M code for custom data transformations and automating data cleaning processes. Interactive Dashboards and Report Creation: Expertise in designing interactive dashboards and reports with a focus on user UI/UX needs Familiarity with Power BI39;s visualizations, including custom visuals and the ability to create compelling storyboards.
Database and Data Integration: Strong foundation in SQL for querying and managing databases. Understanding of data warehousing concepts, including star and snowflake schemas. Experience in connecting Power BI to various data sources like SQL Server, Azure SQL Database, Oracle, SAP, Excel, etc.
Power BI Service Architecture: Knowledge of Power BI service architecture, including the configuration of gateways and scheduled refreshes. Experience with managing and optimizing Power BI Premium capacities for enterprise deployments. Report Optimization: Skills in optimizing Power BI reports for performance, including understanding of VertiPaq engine, query optimization, and memory management.
Proficiency in using Performance Analyzer and other tools to diagnose and address performance issues. Data Governance and Security: Experience in implementing row-level security within Power BI to manage user access to data based on role or other criteria.
Understanding of the best practices for setting up RLS in Power BI to ensure data security and compliance. Solid programming skills in languages such as SQL, Python, or similar. Experience with data integration and ETL processes. Strong understanding of database systems, data warehousing, and data visualization best practices.
Excellent problem-solving and analytical skills. Effective communication skills and the ability to work collaboratively in a team environment. Preferred Skills: Power BI certification. Experience with other data visualization tools and platforms.
The ideal candidate will have a strong background in software engineering, a deep understanding of data analytics principles, and hands-on experience with Power BI.Responsibilities: Power BI Development: Design, develop, and maintain Power BI reports and dashboards to provide actionable insights for business stakeholders.
Data Modeling: Work closely with data engineers and analysts to design and implement effective data models that support business reporting and analytics requirements. Integration: Integrate Power BI solutions with other systems and data sources to create seamless and automated reporting processes.
Performance Optimization: Optimize Power BI reports and queries for performance and efficiency, ensuring timely and accurate delivery of analytics to end-users. Collaboration: Collaborate with cross-functional teams, including data scientists, business analysts, and software engineers, to gather requirements and ensure alignment with business goals.
Quality Assurance: Conduct thorough testing of Power BI solutions to ensure accuracy, reliability, and adherence to business requirements. Documentation: Create and maintain technical documentation, including data models, report specifications, and user guides.
Training and Support: Provide training and support to end-users, helping them understand and maximize the value of Power BI analytics. Qualifications: Bachelor39;s or Master39;s degree in Computer Science, Software Engineering, Data Science, or a related field.
Proven experience as a Senior Software Engineer with a focus on data analytics and Power BI. Complex Data Modeling: Proficiency in designing and developing sophisticated data models using Power BI Desktop. Expertise in utilizing Power BI39;s data modeling capabilities like calculated columns, measures, and relationships to build efficient, scalable models.
DAX Proficiency: Advanced knowledge in Data Analysis Expressions (DAX) for creating complex calculations, measures, and business logic. Ability to use DAX to build dynamic, context-aware calculations, and to optimize DAX for performance in large datasets.
Power Query and Data Transformation: Extensive experience with Power Query for extracting, transforming, and loading (ETL) data. Skilled in writing M code for custom data transformations and automating data cleaning processes. Interactive Dashboards and Report Creation: Expertise in designing interactive dashboards and reports with a focus on user UI/UX needs Familiarity with Power BI39;s visualizations, including custom visuals and the ability to create compelling storyboards.
Database and Data Integration: Strong foundation in SQL for querying and managing databases. Understanding of data warehousing concepts, including star and snowflake schemas. Experience in connecting Power BI to various data sources like SQL Server, Azure SQL Database, Oracle, SAP, Excel, etc.
Power BI Service Architecture: Knowledge of Power BI service architecture, including the configuration of gateways and scheduled refreshes. Experience with managing and optimizing Power BI Premium capacities for enterprise deployments. Report Optimization: Skills in optimizing Power BI reports for performance, including understanding of VertiPaq engine, query optimization, and memory management.
Proficiency in using Performance Analyzer and other tools to diagnose and address performance issues. Data Governance and Security: Experience in implementing row-level security within Power BI to manage user access to data based on role or other criteria.
Understanding of the best practices for setting up RLS in Power BI to ensure data security and compliance. Solid programming skills in languages such as SQL, Python, or similar. Experience with data integration and ETL processes. Strong understanding of database systems, data warehousing, and data visualization best practices.
Excellent problem-solving and analytical skills. Effective communication skills and the ability to work collaboratively in a team environment. Preferred Skills: Power BI certification. Experience with other data visualization tools and platforms.
Familiarity with cloud platforms such as Azure or AWS. Strong experience in the Financial Services domain. Experience in the Client Services and Sales Enablement space (B2B) is preferred.
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