Senior Data Analytics Specialist Jobs in WEData November 2019

About the Job
  • Solve marketing and product analytics problems.
  • Perform analyses that inform decisions on everything from retention strategy to product experience using predictive and descriptive-analytical techniques
  • Communicate findings from analyses in a way that enables business leaders to make better decisions
  • Work closely with business stakeholders to drive integration and adoption of analytics insights into new and existing business processes.
  • Conduct regular reviews on planned and existing Analytics initiatives and identify ways to develop integrated analytics solutions across geography and function.
  • Support the build of visual dashboards primarily aimed at monitoring the outcomes of advanced analytics models.
  • Interest in learning about We’sbusiness as well as our data and analytics. Desire to find and capture novel solutions to important problems.
  • Establishes an internal network and leverages the network of more senior business analytics specialists.
  • Managing and designing the reporting environment, including data sources, and metadata.
  • Supporting the data warehouse in identifying and revising reporting requirements.
  • Generating reports from single or multiple data sources.
  • Troubleshooting the reporting database environment and reports.
  • Review and ensure the accuracy of data collected for the reliability of the results submitted.
Job Requirements
  • 2+years of data analysis and reporting experience
  • Technical experience including SQL, some form of coding (Python, R, etc), and ETL/scheduling
  • Advanced hands-on experience with excel and other reporting and visualization tools such as Power BI, Tableau or Microstrategy etc.
  • Basic data modeling and fundamental core database concepts.
  • Understanding of data warehouse and data mart concepts
  • Strong Knowledge of Data Visualization/UX best practices is an asset
  • Effective presentation, written, verbal communication skills, including the ability to explain data and findings.
  • Ability to translate business requirements into technical requirements.
  • High-level experience in methodologies and processes for managing large scale databases.

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