Senior Data Analytics Specialist

WEData -
6th of October, GizaPosted 4 years ago

156Applicants for1 open position

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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.

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.