Data Analyst

Location: On-site (Chișinău, Moldova)
Type: Full-Time
Industry: B2B Data, Business Intelligence, SaaS

About Global Database

Global Database is a first-party business data provider that sources verified intelligence directly from government registries across more than 100 countries. Our clients—including Statista, Experian, Finquest, and Schneider Electric—rely on our platform and APIs to automate KYB verification, enrich CRM data, power prospecting, and conduct in-depth due diligence. As we scale from our data offerings, we're looking for analytical thinkers who want to make a direct impact on how global business data is delivered and used.

Role Overview

We’re seeking an on-site Data Analyst to support the quality, usability, and value of our global datasets. The ideal candidate will have strong technical and analytical skills, an eye for detail, and the ability to work closely with teams across sales, product, and engineering.
This is a critical role that combines data investigation, standardization, sample creation, taxonomy mapping, and product enhancement. You’ll help ensure our platform continues to deliver high-quality, reliable, and actionable data to our enterprise clients and partners.

Key Responsibilities

1. Data Quality & Enrichment Optimization

• Identify and correct data inconsistencies, duplicates, and structural issues across company, financial, and ownership datasets.
• Suggest improvements for data parsing, transformation, and matching logic.
• Enrich raw registry data with digital signals such as company websites, tech stack, social media profiles, and industry keywords.
• Define and maintain rules for deduplication, record matching, and source prioritization.

2. Custom Data Sample Creation (Enterprise Sales Support)

• Use advanced SQL and database querying to build tailored, complex data samples for prospects across various sectors and geographies.
• Collaborate with the enterprise sales team to understand prospect requirements and deliver data extracts that demonstrate value and coverage.
• Perform pre-sales audits to evaluate match rates, completeness, and enrichment levels for specific segments.

3. Field Mapping & Taxonomy Standardization

• Map raw source fields to Global Database’s standardized schema.
• Identify patterns for data transformation and parsing (e.g. company names, industry codes, financial indicators).
• Discover additional, often overlooked fields (e.g. EINumber) that improve validation or enrichment outcomes.
• Develop and maintain mapping tables across classification systems:
• Country: Source → ISO → Local Index
• Industry: National Classification → ISIC → Global Database Standard
• Department: Source Label → Internal → Global Standard

4. Data Statistics & Monitoring

• Track the full data lifecycle: source → processed → displayed.
• Create statistical reports that assess data availability, accuracy, and freshness across key filters (country, industry, company size, etc.).
• Monitor update frequency and validate data recency, especially for fast-changing attributes (e.g. status, directors, financials).

5. Data Quality Management & Competitive Benchmarking

• Define and track data quality KPIs, such as completeness, consistency, and update latency.
• Analyze internal performance vs. external competitors like DNB, Orbis (Moody’s), OpenCorporates, and Creditsafe.
• Propose improvements and help document competitive differentiators based on actual data capabilities and structure.
• Work with the product team to integrate quality enhancements into new features and dashboards.

Requirements

• Proven experience in SQL and relational databases (e.g. PostgreSQL, MySQL).
• Strong analytical mindset and ability to work with large datasets and complex schema structures.
• Solid skills in Excel and at least one data visualization/reporting tool (e.g. Power BI, Tableau, Looker).
• Prior experience with structured taxonomies (NAICS, ISIC, SIC) and data standardization is highly desirable.
• Experience in B2B data, compliance, sales intelligence, or KYB domains is a strong advantage.

Why Join Us

• Be part of a fast-growing, globally recognized B2B data company.
• Work directly with government registry data and advanced data pipelines.
• Contribute to impactful projects used by banks, compliance teams, fintech, and top-tier intelligence platforms.
• Flat structure, direct access to leadership, and high personal impact.
• Competitive compensation and performance-based incentives.

To Apply
Send your CV and a short cover letter to hr@globaldatabase.com with the subject line: Data Analyst role.