Cargill Finance Global Self Service Analytics Specialist in Bangalore, India
Finance Global Self Service Analytics Specialist
Cargill provides food, agriculture, financial and industrial products and services to the world. Together with farmers, customers, governments and communities, we help people thrive by applying our insights and over 150 years of experience. We have 150,000 employees in 70 countries who are committed to feeding the world in a responsible way, reducing environmental impact and improving the communities where we live and work.
The Finance organization within Cargill includes FP&A, A&F, Corporate Financial Reporting, Treasury, Tax and the related Finance activities performed in the Cargill business Enterprises. In addition it includes the various Finance activities executed by the 6 Cargill Business Service centers, globally. The group collectively is working to establish a concerted focus on critical data management areas to help achieve a vision of more widely accessible, usable and secured financial related data. This position will be part of the ground breaking activities towards achieving these goals.
The Finance Self Service Analyst is expected to work closely with the various Finance stakeholders to review the current data analytic solutions in use and understand the emerging needs. Also, to define a process to formalize and implement a wider self-service data analytics methodology. The Self Service Analyst will need to partner with IT, finance leaders and cross finance teams to incorporate multiple inputs into the decision making process for Finance analytic solutions. A balanced view of data use, governance and self-service needs is critical to achieve both effective cost management of self service solutions and meet agreed upon requirements. Regular interaction with an agreed upon member of the Finance Data Council will also be required to help champion the cause of self service.
1.Establish and seamlessly govern the Finance self-service analytics capability (30%)
a.Work with a select group (comprising of Finance and IT stakeholders) to review existing Finance data analytics solutions in use, understand emerging future needs and define a process to formalize & implement a global self-service data analytics methodology.
b.Include IT and finance leaders along with core other finance users to give a balanced view of data use, technical options, governance and self-service needs.
c.Involve at least one Data Council member to help champion the cause of self service.
2.Data Security and Compliance in the self-service environment (20%)
a.Make sure effective data classifications are in place in the self-service environment so data requiring protection for legal or compliance reasons meets those requirements in an auditable way.
b.Set levels of data access in the self-service environment by leveraging the existing Cargill network for system access, single sign-on through Active Directory or an agreed upon other solution. The preference is to not have separate data access protocols.
c.Implement tools that allow for different levels of access based on user privileges; this protects sensitive data while allowing access to higher-level analytics.
d.Include mobility and BYOD (bring your own device) in the plans as these are often large sources of potential data leakage.
e.Partner with the Finance Data Security Officer, Global IT Self-Service Analytics teams and third party vendors.
3.Critical Focus to Ensure the right data quality in the self-service environment (20%)
a.Conduct regular data discovery audits to understand all the data sources in use in the self-service environment, how current are they and how many variants/versions of the same data are in existence and in use.
b.Build an operating model which allows for periodic consolidation when multiple versions of the same data are being brought into the self-service analytics environment. The model should guide users to share data that is both current and accurate.
c.Define a process for onboarding new data sources in the self-service environment to make sure they meet quality standards and availability criteria. Users will help identify and suggest new valuable sources of data, and IT will operationalize its availability.
4.Report and Dashboard Creation & Maintenance Process Management (20%)
a.Empower users to create their own analytical views with guidelines for how to certify the content is “certified” for distribution.
b.Provide clear guidelines on how to access the right data to meet self-service analytics needs.
b.Implement a process to review and approve reports and dashboards to production, while providing a “sandbox” for users to develop and test reports. Seek guidance from the Global IT Self-Service Analytics team(s).
c.Communicate the full process and obtain cross Finance and IT inputs to align on what aspects of the self-service capability need to be globally consistent.
5.Promote the value of a Finance self-service analytics data management focused culture/mindset and monitor & communicate conformance with Finance data policies. Leverage cross team stakeholders to serve as advocates and share successes. (5%)
6.Miscellaneous duties and responsibilities as assigned (5%)
Minimum Required Qualifications
• B.E. and/or MBA from an institute of repute with at least 12 years of work experience
• 5 years of experience in Self-service tools such as Power BI (or Tableau) and its associated governance setup
• Excellent verbal and written English communication skills and demonstrated experiences communicating across diverse cultures, teams and regions
• Ability, as exhibited from past experiences, to build and explain a robust self-service management operating model and focused culture
• Experience in Data Management and Analytics in multinational corporations
• Experience in SAP
• Formal degree or qualification in Data Management or Self Service
Formal certification in Self-service
Primary Location India-KA-Bangalore
Job Type Standard
Shift Day Job
Req ID: BAN02000