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Hirify AI/Оригинал
TL;DR
Analytics Specialist (Analytics Implementation): Building scalable tracking and measurement frameworks across web, app, and server environments with an accent on data architecture, privacy-resilient implementation, and marketing analytics. Focus on leading complex tracking projects, translating business questions into measurement plans, and integrating tag managers, data layers, APIs, and server-side tracking.
Location: Gothenburg, Sweden
Salary: 33–45/month SEK
Company
hirify.global is a digital growth company working across media buying, analytics, marketing science, creative, and technology to help brands build stronger digital foundations.
What you will do
Lead end-to-end tracking initiatives across web, app, and server environments.
Design scalable data architectures and robust measurement setups using GA4, Google Tag Manager, Firebase, AppsFlyer, Adjust, Tealium, and related tools.
Translate technical specifications and business questions into structured measurement plans aligned with business goals.
Define implementation standards, improve delivery quality, and develop scalable workflows across client projects.
Mentor junior team members and collaborate with media, marketing, development, data, and client-side teams.
Requirements
3+ years of experience in analytics engineering or technical analytics implementation.
Extensive experience with tag managers, data layers, server-side tracking, and APIs.
Good understanding of JavaScript and working knowledge of SQL.
Interest in or experience with regulated industries such as financial services, insurance, pharma, or healthcare.
Familiarity with privacy and governance concepts including GDPR, consent management, data minimisation, PII handling, and access control.
Proven ability to lead complex projects and connect technical solutions to business value.
Clear, confident communication with marketers, engineers, and compliance stakeholders.
Problem-solving approach focused on clarity, action, measurable impact, collaboration, and continuous improvement.
Fluency in English required.
Nice to have
Fluency in Swedish.
Experience with BigQuery, dbt, or other modern data stack tools.
Experience with data documentation, lineage, or data quality monitoring.
Culture & Benefits
Intensive learning environment with opportunities to develop analytics and technical expertise.
Collaborative, trusting, and innovative culture with regular afterworks, team events, and a yearly festival.
Transparent salary setting.
30 days of paid leave, flexible public holidays, parental pay, pension scheme, and key insurance.
Office-specific perks may include healthcare contributions, massage, book orders, snacks, coffee, EAP programs, and a choice of PC or Mac.
Diverse and inclusive environment; employees speak 46 native languages across Precis.
Hiring process
Submit a CV in English.
Application updates are sent by email; check the spam folder if an update does not arrive.
AI tools may assist with resume parsing and interview transcription, but screening and hiring decisions are made by human recruiters. A human-only application review can be requested at talentacquisition@precis.com.
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