Data Cleansing Specialist VA
Cleans, de-duplicates and standardises the client's customer and product data so CRMs, marketing lists and reports are accurate, compliant and usable.
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Description
A Data Cleansing Specialist VA improves the quality of customer, product and business data by finding duplicates, correcting errors, filling data gaps and standardising records. Outsource Teams provides vetted specialists with experience across Excel, Google Sheets, OpenRefine, SQL, Salesforce and HubSpot, along with at least 5 years in data cleansing, data quality or CRM administration. Full-time and part-time options are available from the Philippines, with no lock-in contracts and a replacement guarantee. Admin VAs Admin VAs
Responsibilities
- Audit datasets for duplicates, errors, missing fields and inconsistent formats.
- De-duplicate and merge records in CRMs and databases using tools and matching rules.
- Standardise names, addresses, phone numbers and emails to defined formats.
- Verify and enrich records using validation tools and external sources.
- Build cleansing scripts and formulas in Excel, Google Sheets, OpenRefine or SQL.
- Document data quality rules and cleansing procedures.
- Run scheduled data quality checks and report on issues.
- Coordinate with teams to fix root causes of bad data.
- Ensure data handling complies with privacy regulations such as GDPR and CCPA.
Software & Tools
Requirements
- 5+ years in data cleansing, data quality or CRM administration.
- Advanced Excel and Google Sheets, with experience in OpenRefine, SQL or Python for cleansing.
- Experience with CRM de-duplication tools such as Dedupely, Insycle or native Salesforce and HubSpot tools.
- Familiar with email and address validation tools such as NeverBounce or ZeroBounce.
- Meticulous attention to detail and patience with large datasets.
- Clear written English for documenting rules and reporting issues.
- Reliable high-speed internet and backup power, with availability during the client's business hours.
Frequently Asked Questions
What does a Data Cleansing Specialist VA do?
A Data Cleansing Specialist audits datasets for duplicate records, errors, missing fields and inconsistent formatting. They can merge duplicate records, standardise names and contact details, verify information, build cleansing formulas or scripts, document data quality rules and conduct scheduled quality checks.
Can a Data Cleansing Specialist clean CRM data?
Yes. The role specifically includes de-duplicating and merging CRM and database records using matching rules. Specialists can work with Salesforce and HubSpot and may have experience with tools such as Dedupely, Insycle or the native cleansing functions available within CRM platforms.
What kind of data problems can they fix?
They can identify duplicate records, errors, missing fields and inconsistent formatting. They can also merge duplicates, standardise names and contact details, verify information, build cleansing formulas or scripts, document data quality rules and conduct scheduled quality checks.
Can they clean up existing CRM data?
Yes. They can de-duplicate and merge CRM and database records using matching rules. They can work with platforms such as Salesforce and HubSpot and may also have experience with tools including Dedupely, Insycle and native CRM cleansing functions.
What types of information can they standardise?
They can standardise names, addresses, phone numbers and email addresses according to defined formats. They can also identify missing fields, inconsistent values and other quality problems across larger datasets.
What tools can they work with?
They can work with Microsoft Excel, Power Query, OpenRefine, Google Sheets, SQL, Salesforce and HubSpot. Candidates may also have experience with Python and validation tools such as NeverBounce and ZeroBounce.
How experienced are the candidates?
Candidates require at least five years of experience in data cleansing, data quality or CRM administration. They must have advanced Excel and Google Sheets skills and experience with tools such as OpenRefine, SQL or Python for working with larger datasets.
How much does it cost?
Rates are listed in USD at $5 per hour for entry-level talent, $7 per hour for intermediate and $9 per hour for senior talent. Monthly rates are $800, $1,120 and $1,440 respectively. Both full-time and part-time options are available.
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