Sales Data Steward & Salesforce Administration Associate
Huron (company site, opens in a new tab)2–4 yrsBengaluruOn-siteDirect career pageEst. 7–12 LPA
Posted 0m ago
Reach people at Huron
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Huron you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Manage and maintain sales data quality and integrity across Salesforce and associated systems, including mass data remediation and investigation of data issues.
- Execute Salesforce data-scoped configuration tasks that support data quality, such as field management, duplicate rule tuning, and data quality tooling configuration, following IT-approved standards.
- Identify and prototype AI/automation opportunities for manual data tasks and support standardized reporting and governance to improve data trust and consistency.
Minimum Requirements
- Bachelor's degree in Computer Science, Information Systems, Engineering, Analytics, or related field.
- Active Salesforce Administrator certification with hands-on administration experience required.
- 2-4 years relevant experience in CRM data management, Salesforce administration, data quality, or data operations.
- Work Experience Required: 2-4 years relevant experience; Notice Period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Certified Salesforce Administrator comfortable executing data operations with limited oversight and working within defined methodologies in a multi-system integrated environment.
- Experienced in bulk Salesforce data operations, data quality investigation, and familiar with Salesforce data model and related tools like RingLead or LeanData.
- Interested in and capable of applying AI and automation to data processes, with a willingness to develop data engineering and Databricks skills over time.