Data Visualization Engineer

Data Visualization Engineer

Data Visualization Engineer

Key Responsibilities

• Data visualization skills

  are essential to create compelling and informative dashboards and reports using Power BI, effectively communicating complex data to stakeholders.

• Data integration proficiency

  involves importing data from various sources (e.g., databases, spreadsheets, APIs) using Power Query and ensuring data quality and consistency.

• Data modeling capabilities

  are required to develop robust data models in Power BI to support complex analysis and reporting requirements.

• Power Apps development expertise

  will be utilized to create custom applications to enable data-driven decision-making and automate workflows.

• Power Automate integration skills

  are necessary to automate repetitive tasks and workflows to improve efficiency and reduce errors.

• Cloud-based data analytics platforms

  will be leveraged to process and analyze large datasets.

• Collaboration with data analysts, data scientists, and business users

  is crucial to understand their requirements and deliver effective visualizations.

Technical Skill Requirements

• Proficiency in

  Power BI, Power Apps, Power Query, and Power Automate

  is mandatory.
• Strong understanding of

  data modeling and ETL processes

  is essential.
• Experience working with

  cloud-based data analytics platforms

  is required.
• Familiarity with

  SQL and other data query languages

  is necessary.
• Excellent

  communication and interpersonal skills

  are vital.
• Strong

  problem-solving and analytical abilities

  are essential.

• Attention to detail

  and ability to deliver high-quality work are required.

General Requirements

• Employment Type:

  Full Time, Permanent.

• Working mode:

  Regular.

• Notice Period:

  Immediate - 15 Days.