Data Engineering - Data wrangling and Dashboarding

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• Designing, developing, deploying and maintaining business intelligence and analytics solutions that turn data into knowledge
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• Crafting and executing queries upon request for data
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• Presenting information through reports and visualization
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• Translate business needs to technical specifications
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• Evaluate and improve existing BI systems
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• Collaborate with teams to integrate systems
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• Develop and update technical / implementation documentation
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• Perform quality assurance checks on new or enhanced reports / dashboards
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• Manage new report generation and report enhancement based on the change requests
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Stay updated with business operations and business intelligence processes

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• Proven experience as a BI Developer or Data Scientist
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• Industry experience is preferred
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• In-depth understanding of database management systems, online analytical processing (OLAP) and ETL (Extract, transform, load) framework
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• Familiarity with BI technologies (e.g. Microsoft Power BI, Qliksense, Tableau)
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• Knowledge of SAS, SQL queries, Alteryx
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• Proven abilities to take initiative and be innovative
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• Analytical mind with a problem-solving aptitude
  
  Educational Qualification:
  
  Bachelors / Masters degree in Computer Science Engineering / Information Technology or an Engineering degree with MBA from a premier institute and quantitative emphasis
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• Designing, developing, deploying and maintaining business intelligence and analytics solutions that turn data into knowledge
\n
• Crafting and executing queries upon request for data
\n
• Presenting information through reports and visualization
\n
• Translate business needs to technical specifications
\n
• Evaluate and improve existing BI systems
\n
• Collaborate with teams to integrate systems
\n
• Develop and update technical / implementation documentation
\n
• Perform quality assurance checks on new or enhanced reports / dashboards
\n
• Manage new report generation and report enhancement based on the change requests
\n

Stay updated with business operations and business intelligence processes

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• Enthusiastic and self-motivated, with ability to lead projects proactively
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• Meticulous attention to detail, with an overall passion for continuous improvement
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• Innovative and creative, with a logical and methodical approach to problem solving
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• Credible and articulate, with excellent communication, presentation and interpersonal skills
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• Ability to multi-task and manage competing priorities
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