Analytics Requirements & job describtion :


· 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.


· 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.


· Ability to translate business requirements into technical requirements.


· High-level experience in methodologies and processes for managing large scale databases.


· 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 s business 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.


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