Power BI Expert

2 Days ago • 6 Years +

About the job

SummaryBy Outscal

Description

We are looking for a skilled Power BI Expert, As a Power BI Expert, you will be responsible for designing, developing, and maintaining scalable data systems and pipelines, using both established and cutting-edge technologies. You will work closely with cross-functional teams to bring new insights and identify patterns hidden within complex business and technical data, turning these insights into actionable recommendations.

Responsibilities:

  • Data understanding: Collaborate with stakeholders to understand their data needs
  • Data visualization: Design and develop interactive dashboards and reports
  • Data transformation: Perform data extraction, transformation, and loading (ETL) processes
  • Data security: Ensure data accuracy, consistency, and security
  • Data presentation: Present data to team members in an actionable form
  • Data analysis: Build analysis services reporting models, and analyze data to help with decision-making
  • Data integration: Integrate and alter data from different sources
  • Infrastructure maintenance: Maintain the Power BI infrastructure, and troubleshoot data-related issues
  • User training: Provide training and support to end users on how to use the dashboards and reports
  • Business intelligence: Deliver business intelligence services, and lead BI software development
  • Building multi-dimensional data models
  • Developing data documentation
  • Performing detailed analysis on tested and deployed Power BI scripts
  • Converting business requirements into technical specifications
  • Establishing row-level data security
  • Optimizing Power BI solutions for performance and usability
  • Must demonstrate the ability to optimize refreshes, programmatically and/or manually for large scale customer deployments.

 

Requirements

  • Proven experience (6+ years) working as a data analyst, data engineer, or in a similar role.
  • Knowledge of data visualization and reporting tools Power BI is a must.
  • Proven experience with Power BI, including Power BI Desktop, Power BI Service, and Power BI Mobile.
  • Experience with SQL, Python, and Per
  • Strong understanding of data modeling, database design, and SQL.
  • Familiarity with integrating data from multiple sources.
  • Deep understanding of data warehousing concepts and practices
  • Familiarity with frameworks and libraries for machine learning and artificial intelligence
  • Proven experience working with large data sets and distributed computing
  • Experience with custom visuals and integrating R or Python in Power BI.
  • Knowledge of Power Platform tools like Power Apps and Power Automate.
  • Familiarity with Agile project management methodologies.
  • Effective communication skills, both written and verbal.
  • Excellent analytical and problem-solving skills.
  • Strong business acumen with the ability to understand and translate business requirements into technical solutions.
  • Relevant certifications such as Microsoft Certified: Data Analyst Associate are highly desirable.
  • Location: Remote
  • Shift Timing: 5:30 PM to 3:00 AM ( 4-5 hrs of overlapping )
  • Salary Range: 14 - 17 LPA

Benefits

CloudHire’s mission is to create a positive and lasting impact in the world. By increasing competitiveness and efficiency in businesses, we believe that we are a catalyst for innovation across a multitude of specialties.

CloudHire works closely with its team to help you grow as much as we grow, and value your holistic development. Employees who are most successful at CloudHire take initiative, know how to identify problems and provide solutions, and always put the Team first.

With a belief that the journey to growth and greatness is ongoing, CloudHire gives employees the opportunity to continue learning and honing their skills with programs such as tuition reimbursement; mentorship programs; lunch and learns; online course subscriptions; paid industry certifications; business resource groups; and more.

About The Company

Karnataka, India (Remote)

Karnataka, India (Remote)

Maharashtra, India (Remote)

Uttar Pradesh, India (Remote)

Karnataka, India (Remote)

Maharashtra, India (Remote)

New Jersey, United States (Remote)

New York, United States (On-Site)

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