Salesforce Data Analyst

We are looking for Salesforce Data Hygiene Analysts / Specialists to support ongoing data quality improvement activities in Salesforce. The role will focus on executing defined data hygiene rules and playbooks including deduplication field standardization data cleaning enrichment and recurring quality checks.

The team will work closely with the in-house Salesforce Product team and will be responsible for ensuring that Salesforce records are cleaner more consistent and more complete over time. This is an execution-focused role where the BLR team will operate within clearly defined rules processes and approval boundaries.

The Salesforce Data Hygiene Analyst / Specialist will be responsible for:

Review Salesforce records flagged for data quality issues through reports dashboards or team feedback

Clean and standardize key fields based

Correct formatting inconsistencies across fields such as account names contact names industries countries regions phone numbers email domains and other key fields.

Identify incomplete incorrect duplicate or inconsistent records and take action based stakeholder inputs

Review potential duplicate Accounts Contacts Leads or other Salesforce records.

Validate duplicates using defined matching rules and available source data.

Merge tag update or escalate duplicate records based on the agreed process.

Maintain proper audit notes where required.

Enrich Salesforce records with additional data points

Update missing or outdated information such as company details industry region website or other fields.

Ensure enriched data follows the required naming conventions and field standards.

Execute recurring hygiene tasks on a predictable cadence such as daily weekly or monthly data checks.

Work through assigned record lists reports or queues within agreed turnaround times.

Track progress and completion status for assigned tasks.

Support backlog clean-up efforts as well as ongoing steady-state hygiene activities.

Document recurring data issues rule gaps unclear scenarios or exceptions.

Escalate ambiguous cases to the in-house team for guidance.

Provide feedback on patterns observed in Salesforce data quality issues.

Help maintain simple issue logs and process notes for continuous improvement.

Maintain simple data quality KPIs and operational trackers.

Report metrics such as number of records reviewed number of records cleaned duplicate count field completeness enrichment completion and exceptions raised.

Share regular status updates with the in-house team.