AI Candidate Intelligence Report - Resume Analysis & Role Fit Assessment

AI Resume Analysis

Candidate Intelligence Report

AI-powered analysis from the perspective of a US hiring director — evaluating career continuity, growth trajectory, and role fit.

Career Continuity & Risk Assessment

Employment GapLow

No significant gaps between roles; only a brief 1-month transition between 2018 and 2019, indicating solid employment continuity.

Industry ConsistencyMedium

Roles are data analytics-focused but span across media/advertising, loyalty/retail, mortgage, and banking, showing versatility with moderate industry shifts.

Tenure StabilityLow

Tenures range from about 1.5 years to 5 years with no protracted gaps, suggesting solid stability and potential for deeper domain expertise.

Education-Career MatchMedium

Education from Vrije Universiteit Amsterdam is credible; however, the resume does not specify the exact field of study, slightly clouding the direct alignment with data analytics expertise.

Career Growth Curve

Sales Analyst Entry

de Persgroep Nederland

2014-01 to 2018-12

Database Marketeer Lateral

Air Miles- Loyalty Management Netherlands B.V.

2019-01 to 2020-11

Data-analist ↑ Promoted

Air Miles- Loyalty Management Netherlands B.V.

2020-11 to 2022-05

Data-analist Lateral

De Hypotheker

2022-06 to 2024-09

Data-analist ↑ Promoted

NIBC Bank

2024-09 to Present

Assessment: Larissa has maintained a steady, analytics-focused trajectory with progressive responsibility across marketing, loyalty, and financial services. While roles have often been lateral in scope, the move into banking analytics suggests readiness for higher-level data responsibilities, such as Senior Data Analyst or Analytics Lead, particularly in financial services or data-centric marketing.

Best-Fit Roles (Top 5)

Senior Data Analyst - Banking/Financial Services95% fit

Extensive experience in data analysis within the banking/financial services space (NIBC Bank) and related financial roles, with hands-on SQL and Teradata Studio skills, aligning well with higher-responsibility analytics responsibilities.

Analytics Lead - Loyalty/Marketing Analytics92% fit

Strong background in loyalty and marketing analytics (Air Miles) combined with data tooling, suitable for leading analytics initiatives in consumer loyalty programs.

BI Analyst - Financial Services88% fit

Solid data analysis foundation with experience across banking and mortgage domains, appropriate for BI reporting, data modeling, and dashboards in finance.

Data Analyst - Marketing & Media Analytics84% fit

Strong track record in media/advertising analytics (Persgroep) complemented by loyalty data experience; suitable for cross-functional analytics teams in marketing-heavy organizations.

Data Warehouse/SQL Analyst (Teradata) - Finance/Retail80% fit

Technical emphasis on SQL and Teradata Studio positions her well for data warehousing analytics roles, particularly in finance or retail contexts that rely on large data warehouses.