8 дней назад
Senior Data Analyst (AI)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Analyst (AI) (Digital Analytics/Measurement): Leading reporting, dashboarding, measurement strategy, and data collection initiatives for client accounts with an accent on KPI frameworks, tag management, semantic modeling, and privacy-aware analytics. Focus on designing scalable tracking plans, validating data during migrations, guiding AI-assisted analytics, and translating complex data into executive-ready business recommendations.
Location: Remote from Brazil
Company
is an experience innovation company that combines data, AI, creativity, and technology to help leading brands create digital experiences and drive transformation.
What you will do
- Lead complex reporting, dashboarding, performance analysis, and measurement workstreams across client business areas and stakeholder groups.
- Define KPI frameworks, reporting logic, measurement strategies, event taxonomies, tracking plans, and semantic models.
- Set technical direction for data collection and tag management, including Google Tag Manager, data layers, server-side tagging, and validation workflows.
- Establish QA, privacy, consent, governance, and data-quality standards while protecting measurement continuity during migrations and replatforming.
- Analyze trends, anomalies, performance drivers, and business opportunities, delivering executive-ready insights and recommendations.
- Advise clients and internal stakeholders, mentor junior and mid-level practitioners, review deliverables, and support proposals, scoping, and capability building.
Requirements
- 4+ years of experience in digital analytics, measurement strategy, reporting, dashboarding, and performance measurement.
- Strong expertise in KPI and measurement frameworks, analytical approaches, semantic modeling, and translating data into actionable business narratives.
- Hands-on experience with Google Tag Manager, data layer design, event taxonomies, validation workflows, server-side tagging, consent management, and privacy expectations.
- Experience with analytics and reporting tools such as GA4, Adobe Analytics, Looker, Power BI, Tableau, or Looker Studio.
- Working knowledge of SQL, BigQuery, Snowflake, Excel, and Google Sheets.
- Strong English communication, executive presentation, stakeholder management, independent problem solving, and cross-functional collaboration skills.
Nice to have
- Experience with Agile methodologies and consulting.
- Knowledge of Adobe Experience Platform Tags, Tealium iQ, Segment, OneTrust, Didomi, Cookiebot, Optimizely, Adobe Target, or Dynamic Yield.
- Certifications or training in analytics, tag management, BI, SQL, privacy, consent management, optimization, or experimentation platforms.
Culture & Benefits
- Remote and hybrid work options, depending on country.
- International mobility and professional development opportunities.
- Access to training, modern tools, and industry experts.
- Medical, dental, and vision insurance, with employer contributions to Health Savings Accounts where applicable.
- Inclusive, collaborative culture focused on creativity, autonomy, knowledge-sharing, and continuous learning.
Hiring process
- Talent Acquisition reviews applications and contacts candidates whose experience aligns with the role.
- Applications should include relevant experience and expertise; interviews can include reasonable accommodation support when needed.
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