Data Quality Analyst

Data Quality Analyst (all genders)

• Krakow | Remote

The Data Quality Analyst is a critical member of the Revenue Operations team, acting as the primary data steward for all customer, and transactional data flowing through Paessler's systems. This role sits at the intersection of data governance, CRM hygiene, and revenue process integrity — responsible for the ongoing monitoring, cleansing, and enrichment of data across the board. Reporting directly to the Data Quality manager, the analyst will ensure that the data our GTM teams rely on is accurate, complete, and trustworthy. Please note that we can only consider applicants that are based in Krakow and surrounding areas and that this role is offered in a full time employment contract only. We cannot offer a B2B model.

YOUR TASKS

Data Stewardship & Governance

• Own the data quality standards across Salesforce lead to cash objects and connected systems.
• Act as the first line of defence for data integrity: monitor incoming data for completeness, consistency, and correctness on a recurring basis.
• Maintain and enforce deduplication rules and merge protocols for account and contact records across Salesforce, Chargebee, and Odoo.
• Document data lineage, field definitions, and data quality rules in a shared data dictionary.
  

Data Cleansing & Scrubbing

• Execute regular data scrubbing cycles: identify and remediate duplicate records, invalid email addresses, missing required fields, and non-standard company name formats.
• Classify and flag problematic data (free/generic domains, role-based addresses, unsubscribed contacts) and route findings to the appropriate owners.
• Normalize account and company name data across systems, including international legal entity suffix standardization and special character handling.
• Support cross-system reconciliation between multiple platforms (Chargebee, Odoo) and CRM to ensure account records are in sync.
  

Monitoring & Reporting

• Build and maintain dashboards or SQL-based reports that track data quality KPIs (completeness rate, duplicate rate, field fill rate) over time.
• Proactively surface data anomalies and trends to stakeholders in Revenue Ops, Sales, and Finance.
• Produce regular data health summaries for leadership review, highlighting progress on remediation efforts.
  

Quote-to-Cash & Revenue Process Support

• Support the accuracy and integrity of data across the full lead to cash cycle: from lead and account creation through to order, invoice, and renewal.
• Identify data-related blockers in revenue workflows (mismatched account names, missing billing data, incorrect subscription metadata) and drive resolution.
• Collaborate with Finance and Sales Operations to validate that product, pricing, and subscription data in Salesforce aligns with billing records.

YOUR PROFILE

Required

• 2–4 years of experience in a data quality, data operations, CRM administration, or revenue operations role.
• Hands-on experience with Salesforce (CRM, CPQ, RCA) — navigating objects, running reports, managing records, and understanding field relationships.
• Working knowledge of the quote-to-cash cycle and how data flows between CRM, CPQ, and billing systems.
• Proficiency in SQL for querying, profiling, and transforming data (SELECT, JOINs, aggregations, subqueries, temp tables).
• Strong attention to detail and a methodical approach to identifying data inconsistencies.
  Comfortable working with large datasets and comfortable flagging ambiguity rather than guessing.
  

Nice to Have

• Experience with subscription billing platforms such as Chargebee or Odoo.
• Familiarity with fuzzy matching techniques or deduplication tooling (e.g., Python, Power Query, or dedicated MDM tools).
• Exposure to T-SQL or SQL Server (SSMS) in a Windows environment.
• Experience building reports or dashboards in BI tools (Power BI, Tableau, or Salesforce Reports & Dashboards).
• Background in B2B SaaS or software/IT companies.
• Familiarity with GDPR or other data privacy frameworks as they apply to contact data.
  

How Success Is Measured

In the first 90 days, success means having a clear picture of the current state of data quality across key objects in Salesforce, a documented backlog of remediation tasks, and at least one recurring data cleansing process in place. At the 6-month mark, measurable improvement in field completeness and duplicate rate is expected, alongside full ownership of the data quality monitoring cadence. Long-term, this role is accountable for keeping revenue data reliable enough that go-to-market teams can trust what they see — with minimal manual intervention.

Work Environment & Team

You will work closely with Sales Operations, Finance, and the broader Revenue Operations function. Day-to-day collaboration happens with stakeholders who own CRM processes and with the data engineering function responsible for pipelines and reporting infrastructure. This is a hands-on individual contributor role with a clear path toward greater ownership of data governance as the function matures.

FACTS FOR YOU

• Many possibilities to further develop your individual skillset
• Innovative and creative work environment with plenty of room for new ideas
• A structured onboarding phase with experienced colleagues
• Flexible working hours and a family-friendly environment
• Permanent employment contract
• A great working atmosphere in an enthusiastic international team with flat hierarchies
• Paessler is a fast-growing midsized company that has been in the market for 20 years. The company is focused on long-term goals and is currently comprised of 400+ employees