Data Visualization Analyst
Full Time
Charlotte, Nc

The Data Visualization Analyst is the link between the Electrolux NA business objectives and the data program.  The Data Visualization Analyst will work with stakeholders from all business units and related third parties to help the business extract value from the big data and data warehouse platforms through analysis and identification of actionable insights. This role will raise the company’s decision making and predictive capabilities to a higher level through the use of innovation and cutting-edge technology.  


  • Identify business trends utilizing combinations of data from big data platform and traditional data warehouse, compile analysis reports and follow-up on results
  • Develop new capabilities beyond static reports and spreadsheets through a variety of data visualization tools
  • Innovate with merging technologies (Mashup), such as D3, HighCharts and HTML5, JS, with traditional BI tools to create unique solutions
  • Create and deliver end-to-end solutions using new data sources from advancements in sensor and location technologies, e.g. telematics, GPS, Geospatial, PressureSensors, Internet of Things (IoT)
  • Enrich existing customer insights with external sources such as Twitter, Facebook, Amazon, Google+, Weatherdata, AppleAppStore, SalesForce, BigData, etc.
  • Develop functional specifications in a team environment and derive use cases where appropriate
  • Identify areas for process improvements
  • Evaluate business needs/issues, assist in evaluating alternatives, and determine appropriate solutions with technical staff
  • Evaluate and validate new and existing functions, identify and analyze end-user issues and provide support through standardized processes, tools, and testing to ensure requirements are satisfied
  • Prepare and analyze data for ad hoc business requests
  • Develop procedures, forms, and documentation as required to accommodate user needs
  • Train end-users on access to Big Data Platform (BDP) and Enterprise Data Warehouse (EDW) as well as complimentary visualizations tools
  • Keep up-to-date knowledge on external and internal data repositories
  • Liaison with Electrolux business units to identify, capture and analyze business requirements
  • Maintain continuous business interaction and relationship
  • Perform special projects and assignments

Minimum Qualification

  • Bachelor’s degree required
  • 3 yrs work experience in Analytics/Business Intelligence related area required
  • 1-2 yrs of experience with Big Data Solutions required
  • 1-2 yrs of experience writing complex SQL queries preferred
  • 1-2 yrs of experience with Power BI, Qlikview, Microsoft SSRS & SSAS, Business Objects, or equivalent BI tools preferred


  • Detailed analytical capabilities and creative thinking
  • Experience from performing analysis with large datasets
  • Ability to develop and run queries/scripts for ad-hoc reporting to meet data analysis needs
  • Experience with statistical programming environments like R or Python/Pandas, Apache Spark, Hadoop
  • Experience with at least one scripting language such as Python, Ruby or Perl
  • Experience with Notebooks such as Zeppelin or Jupyter
  • Experience with HTML5 and/or JavaScript
  • SQL advanced scripting
  • Visualization development experience in at least two BI tools (Power BI, Qlikview, Microsoft SSRS & SSAS, SAS VA, or equivalent tools)
  • Proficiency in MS Office Tools including but not limited to: MS Excel , MS Query, MS Power Point, MS Word, and MS Access
  • Ability to learn new applications and develop training material  
  • Ability to multi-task and meet strict deadlines
  • Effective written, communication, and organizational skills
  • Strong analytical and project management skills including a thorough understanding of how to interpret customer business needs and translate them to reporting requirements/specifications
  • Ability to work independently with business customers to document the business requirements under the direction of management
  • Ability to work effectively within a team or autonomous environment
  • ETL, Data Cleanse, and Integration
  • Experience with delivery projects within an agile environment