Analyst
Master Data.
Maintaining master data integrity, governing data
quality, and supporting SAP/ERP data management operations, requiring a
Computer Science/Data/Business Degree, SAP master data expertise, and 4-5 years
data governance experience.
Key Purpose:
The Master Data Analyst ’s
purpose is to manage and maintain critical data, ensuring its accuracy,
consistency, and timeliness across various systems. They focus on developing
and maintaining master data systems, implementing data governance policies, and
using data to extract key business insights, which is critical for key
decision-making
Key Duties & Responsibilities
Key
Outputs and Accountabilities include, but not limited to:
Accurate
and Consistent Master Data
- Ensure
customer, outlet, route, pricing, and product data is accurate, complete,
and maintained consistently across all platforms (e.g., SFA, ERP, CRM).
- Maintain
data integrity by conducting regular audits and reconciliation processes.
Timely
Data Maintenance
- Support quick turnaround times for
new customer creation, updates to existing records, route changes, and
pricing modifications.
- Enable rapid onboarding of new
accounts and territories without disruption to sales execution.
Support
for Sales Execution and Route to Market
- Provide
clean, updated customer and route data that enables the SFA system to
function effectively for sales reps.
- Ensure
territory and route structures in the system reflect real-world sales team
organization and distribution models.
Compliance
with Data Governance Policies
- Enforce
and align with internal data standards and governance policies.
- Maintain
audit trails and adhere to regulatory or business rules around data
handling (e.g., GDPR, customer segmentation).
Effective
Issue Resolution and User Support
- Act
as the point of contact for data-related issues from the sales, customer
service, and distribution teams.
- Collaborate
with IT, commercial, and digital teams to resolve data discrepancies and
system issues.
Enable
Reporting and Analytics
- Ensure
data is structured to support commercial reporting, territory planning,
and performance analytics.
- Collaborate
with BI teams to improve data visibility and insights for decision-making.
Process
Improvement and Automation
- Identify opportunities to streamline
master data workflows using automation tools or system enhancements in
collaboration with the Group Office Master Data team
- Contribute to projects aimed at
improving data flow between systems (e.g., SFA ? ERP).
Stakeholder
Collaboration
- Work
closely with Sales, Marketing, Distribution, IT, and Finance teams to
ensure data meets cross-functional needs.
- Address
any discrepancies or issues within master data which can affect the
effectiveness of the RTM strategies.
- Participate
in cross-departmental initiatives impacting customer data or sales tools
Skills, Experience & Education
Education
- Bachelor’s degree in Information
Systems, Computer Science, Business Administration, Data Management, or a
related field
Experience
- 4–5 years experience managing
customer/product/route/pricing master data, ideally in FMCG, CPG, or
bottling environments
- Hands-on experience with SFA
platforms (e.g., Salesforce), understanding their role in field execution
- Exposure to working with sales,
marketing, supply chain, and finance teams
Skills
Technical
Skills
- Proficiency in Excel (advanced
level: formulas, pivot tables, lookups)
- Experience with data tools like SQL,
Power BI, Tableau (optional but valuable) including proficiency in
maintaining large datasets, ensuring accuracy and consistency for
reporting and analysis
- Familiarity with data workflow tools
or ticketing systems (e.g., ServiceNow, Jira)
- Understanding of data integration
(ETL concepts, APIs)
Analytical
& Process Skills
- Strong attention to detail and data
accuracy
- Process-oriented mindset with
ability to map and improve workflows
- Analytical thinking to spot data
trends and resolve anomalies
Soft
Skills
- Strong communication and
interpersonal skills (written and verbal)
- Customer-centric mindset—responsive
and solution-focused
- Ability to collaborate across
functions and with field teams
- Organizational and time management
skills (handling multiple requests with SLAs)
Behavioral
Competencies
- Proactive problem-solving
- Accountability and ownership of data
quality
- Adaptability in a fast-changing,
digital environment
- Confidentiality and integrity with
sensitive commercial data
