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Open nowFirst seen 45 hours ago

PowerBI Developer

PradeepIT Consulting Services Pvt Ltd2,005 open roles

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  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: first seen 45 hours ago

The posting

Power BI Developer

Experience: 6-7 Years

Remote

Mandatory Skills: MS Dynamics and Data lake are mandatory

Overview: A highly skilled with 6 years of experience in creating visually engaging, data-driven executive dashboards with a focus on mobile and web compatibility. Specializing in designing executive-level dashboards for C-suite stakeholders, keeping brand design in mind, with an emphasis on real-time, actionable insights for CEOs and business leaders. Expertise in developing intuitive reports, enhancing data accuracy, and integrating complex systems like Microsoft Dynamics 365 and AWS. Strong communicator, capable of translating business requirements into effective data solutions, while managing teams and delegating tasks to ensure project success.

Key Responsibilities:

  • Power BI Development: Design, develop, and maintain advanced Power BI reports and dashboards, ensuring they are user-friendly, visually appealing, and aligned with brand design for executive-level consumption, particularly for both web and mobile devices.
  • Mobile and Web Compatibility: Focused on optimizing Power BI dashboards for both mobile and web use, ensuring seamless access to real-time data and insights for top-level executives, particularly CEOs, across platforms, on-the-go or in-office.
  • Data Modelling & Visualization: Perform complex data modelling, designing efficient and scalable data models for accurate reporting. Create visually appealing dashboards using best practices in data visualization, supporting strategic decision-making for senior leadership.
  • Stakeholder Collaboration: Engage with business stakeholders to understand their needs and translate them into clear technical specifications. Provide insights into business performance and strategic goals.
  • Data Accuracy & Integrity: Responsible for ensuring the accuracy and integrity of the data through thorough data validation and cleansing processes. Monitor and improve data quality to maintain reliable reporting.
  • ETL & Data Pipelines: Develop and maintain ETL processes for seamless data extraction, transformation, and loading (ETL) into Power BI. Ensure efficient and reliable data pipelines for decision-making.
  • SQL Optimization: Write and optimize SQL queries for data extraction, transformation, and performance tuning to ensure the speed and reliability of dashboards.
  • System Integration: Integrate data from Microsoft Dynamics 365 and other CRM platforms to enrich business insights and enhance reporting capabilities.
  • Team Leadership: Take ownership of projects, delivering tasks without supervision while effectively delegating work to team members and ensuring the timely completion of deliverables.
  • Communication & Reporting: Maintain clear and effective communication with team members, business stakeholders, and senior executives to ensure alignment on objectives, deliverables, and timelines.

Qualifications:

  • Bachelors degree in computer science, Information Technology, or a related field.
  • 6+ years of experience in Power BI development, data analytics, and dashboard design, with a strong focus on mobile-first and web solutions for C-suite executives.
  • Expertise in Power BI: Strong proficiency in Power BI, including data modelling, report/dashboard design, and advanced visualization techniques tailored for executive users.
  • Mobile and Web Dashboard Design: Experienced in creating Power BI reports optimized for both mobile and web compatibility, ensuring ease of use for executive teams across devices (tablets, smartphones, desktops).
  • Strong SQL Skills: Proficiency in writing and optimizing SQL queries for efficient data extraction, manipulation, and reporting.
  • Microsoft Dynamics 365 & AWS: Extensive experience integrating data from Microsoft Dynamics 365 with Power BI, along with utilizing AWS services for cloud-based data storage and analysis.
  • Data Engineering
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