Data Visualization Specialist

At Innover, we endeavor to see our clients become connected, insight-driven businesses. Our integrated Digital Experiences, Data & Insights and Digital Operations studios help clients embrace digital transformation and drive unique outstanding experiences that apply to the entire customer lifecycle. Our connected studios work in tandem to reimagine the convergence of innovation, technology, people, and business agility to deliver impressive returns on investments. We help organizations capitalize on current trends and game-changing technologies molding them into future-ready enterprises.

Take a look at how each of our studios represents deep pockets of expertise and delivers on the promise of data-driven, connected enterprises.

Job Overview:

We are looking for a Data Visualization Specialist with experience to design, develop, and optimize data dashboards and reports. The ideal candidate will have expertise in QlikView V12 or Spotfire and will work closely with business teams to transform raw data into meaningful insights.

Key Responsibilities:

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  Design, develop, and maintain QlikView V12 / Spotfire dashboards and reports.
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  Gather business requirements and translate them into data visualization solutions.
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  Optimize QlikView expressions, scripts, and Spotfire transformations for better efficiency.
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  Work with large datasets and various data sources, including relational databases, cloud storage, and APIs.
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  Collaborate with stakeholders, business analysts, and data teams to enhance reporting capabilities.
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  Perform data validation, quality checks, and troubleshooting to ensure data accuracy.
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  Implement best practices for data visualization, governance, and security.
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  Provide user training and documentation for business users and internal teams.
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  Stay updated with the latest BI trends, tools, and technologies to improve reporting solutions.

Required Skills:

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  Strong experience in QlikView V12 and/or Spotfire.
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  Proficiency in writing SQL queries and database optimization.
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  Experience working with large datasets and multiple data sources.
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  Strong analytical and problem-solving skills.
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  Ability to work independently and collaborate with cross-functional teams.
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  Excellent verbal and written communication skills.