• Degree, with fluency in mathematics, statistics and/or data analysis;
  
• 3+ years of experience data reporting and analysis;
  
• E2E experience with data visualization tools like Power BI, tableau, with a preference for experience with other web embedded reporting tools;
  
• Experience with database querying languages such as SQL;
  
• Experience with programming languages such as Python and software engineering principles.
  

• Work collaboratively across departments to drive insights externally based on data (i.e. translating data to action);
  
• Ensure that data requirements are considered in the beginning of strategic programs so that data collection and structure will be fit for purpose in supporting the data-as-a-product approach;
  
• Maintain regular alignment with your colleagues in the DM&I department to ensure common approaches to data metrics. This alignment also ensures that data quality practices are implemented in your products, and that sharing of those products is done in an ethical way.
  
• Lead training programs to help internal stakeholders to not only use the reporting available, but also deliver insights to their customers;
  
• Lead external training projects as part of customer roll out
  
• Improve reporting capabilities by sharing best practices within the DM&I department;
  
• Roll out dashboards to our organization and supporting project-related rollouts.
  
• Promoting agreement with internal stakeholders as part of the customer roll out process;
  
• Understand the external reporting needs from the different stakeholders through current report feedback, external reporting offering, and overall reporting trends in CSR, ESG, and SDG that align with RA's mission. Advise on direction of travel for reporting as a result;
  
• Identify potential biases and reporting risks by periodically connecting with colleagues in the field/ stakeholders involved in the data gathering and provide them with reports that allow them to identify and prevent these risks and biases;
  
• Establish a standardized and organized way of gathering regional insight and integrate it as data in our internal reports to promote bottom-top strategies; and
  
• Identify opportunities to integrate data in an efficient, thoughtful way to maximize engagement and ease of use.
  

Delivery:

• Transform requests into meaningful reports and insights – including self service capabilities for stakeholder groups;
  
• Lead the deployment and ongoing improvement of self-service capabilities to stakeholder groups;
  
• Develop prototypes of innovative data solutions using programming languages such as Python;
  
• Champion automation by finding solutions that are fit for purpose and scalable to suit the major requirements of stakeholders;
  
• Be a Power BI expert within the organization; and
  
• Ad hoc reporting (as agreed in prioritization with the team lead)