Senior Data Analyst – Night Shift

Job Description:

  • Support the deployment & sustainment of initiatives with data collection, analysis, summary, recommendations monitoring and reporting that will help to drive repeatable problem solving and leadership routines
  • Develop reporting and analysis tools to support Leaders and Teams to sustain continuous improvement in their area including their own management practices and routines.
  • Possess good understanding of analytics tools (PowerBI, Alteryx, Excel, PowerPoint etc.) to drive historical data trends, volume analysis, visual representations of the KPIs.
  • Interpret data, analyze results using statistical techniques and provide ongoing reports
  • Help in the Development and implementation of databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
  • Acquire data from primary or secondary data sources and maintain databases/data systems.
  • Locate and define new process improvement opportunities

Requirements:

  • 3-5 years of experience using data mining to extract information from data sets and identify correlations and patterns
  • PowerBI, PowerApps, Database Management (SQL, Access, Cloudera), Alteryx, Python or equivalent Analytics Program, Microsoft excel, Lean Six Sigma
  • Experience in organizing and transforming information into comprehensible structures
  • Ability to leverage data to predict trends in the customer base and the consumer population as a whole
  • Technical expertise regarding data models, database design development and data mining
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  • Adept at queries, report writing and presenting findings
  • Comfortable using tools and techniques to visualize data in easy-to-understand formats, such as diagrams and graphs
  • Prepare reports and present to management
  • Identify and recommend new ways to add efficiency by streamlining business processes
  • Monitor data quality and remove corrupt data
  • Communicate with stakeholders to understand data content and business requirements

Benefits:

  • Employees can work remotely
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