{"id":2452043,"url":"https://alion.io/job/diversity-equity-inc-analyst-forensic-discovery","title":"Analyst Forensic Discovery","company":{"id":2390509,"name":"Deloitte Netherlands","domain":"careersatdeloitte.com","url":"https://alion.io/company/careersatdeloitte","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"A","score":88,"open_postings":82,"ghost_share":0,"stale_share":0.28,"repost_share":0,"time_to_fill_p50_days":72,"computed_at":"2026-10-24T06:02:35Z"}},"role":"Analytics","role_family":"Analytics","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Amsterdam, Netherlands"],"countries":["NL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":50000,"max_usd":96000,"period":"year","method":"role_country_seniority_unknown","sample_n":53},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"GDPR","optional":false},{"name":"Informatica","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Ruby","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-07-28T14:05:14Z","employer_posted_date":"2026-07-28","last_verified_at":"2026-10-24T22:11:39Z","board_verified":true,"closed_at":null,"days_open":88,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":88},"description":"Een bijdrage leveren aan digitale forensische onderzoeken naar bijvoorbeeld fraude, corruptie, data lekken (GDPR) of cybercrime. Bij Deloitte.\n Identificeren van werknemers die frauderen met bedrijf kritische software;\nscannen van een IT-omgeving naar gevoelige persoonsgegevens;\nonderzoek doen naar e-mail en telefoon logs van een team die “insider” kennis had van een DDoS aanval;\nde speld in de hooiberg vinden binnen een dataset van 15 miljoen bestanden, met behulp van A.I. en Machine Learning;\ndata gereed maken voor verdere analyse en het onderhouden en draaiend houden van een eigen lab omgeving;\ninteresse hebben in de werking en inhoud van computers.\n Natuurlijk blijf je altijd scherp op details en ontdek je graag nieuwe manieren om complexe problemen op te lossen. Bovenal durf je jezelf te zijn. De ware jij. Met je eigen sterke punten, blik op de wereld en persoonlijkheid. Verder heb jij als Analyst Forensic Discovery:\nEen afgeronde hbo diploma gespecialiseerd in bijvoorbeeld Informatica, Forensisch ICT, Information & Security Management, Security of Systeem/Netwerk architectuur;\neen afgeronde wo opleiding gespecialiseerd in Informatica, Computer Science of STEM met ervaring in IT (systeembeheer/IT beheer);\nkennis van scripting, bijvoorbeeld Python, Ruby en SQL;\neen goede beheersing van de Nederlandse en Engelse taal in woord en geschrift.\n Je wordt uitgedaagd om technische vraagstukken op te lossen voor onze klanten tijdens zeer complexe (digitale) onderzoeken en e-Discovery projecten. Tijdens de volledige life-cycle van een forensisch onderzoek analyseer, verwerk en produceer jij relevante bevindingen en/of documenten naar de stakeholders van het project. 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