Senior Digital Analytics

**_Who are we?_**:
We are an international digital consulting firm specialized in driving the evolution of the business models of large and mid-sized companies. We help our clients improve their competitiveness by connecting strategy, communication, design, technology, and data—always with a practical, impact-oriented approach.

With more than 2,000 people across different countries, we work on end-to-end projects: from strategic definition to implementation, measurement, and continuous optimization. Our focus is on turning data into real business decisions, not just producing reports.

**_ About the role_**:
We are looking for a **Senior Digital Analytics & BI** professional with a hybrid profile (Digital Analytics + BI), capable of moving comfortably between business, marketing, and technology.

Your mission will be to ensure robust and scalable measurement, automate data exploitation, and help teams make better decisions through reliable, clear, and actionable information.

In addition, this role will play a key part in the evolution of the area toward more intelligent models, exploring how applied AI and agentic approaches can help optimize processes, scale capabilities, and differentiate the services we offer our clients.

We are looking for someone who enjoys doing analytics “the right way,” but who also brings curiosity, sound judgment, and a desire to innovate, working alongside a team that is rapidly expanding and building new capabilities.

**_ What do we value?_**:

- 3+ years of experience in Digital Analytics and BI (ideally in consulting, agency, or multi-client environments).
- Strong experience in measurement plans, data layers, and coordination with technical teams.
- Knowledge of data modeling and ETL processes.
- Experience collaborating with marketing, media, CRM, and technology teams.
- Ability to translate data into business insights and communicate conclusions clearly.
- Professional level of English (international environment).

**We’re especially looking for someone with**
- An analytical, structured, impact-oriented mindset.
- Curiosity and a desire to innovate, especially in the practical use of applied AI for data.
- The ability to propose improvements and new ways of working beyond standard execution.
- Comfort in a growing environment where part of the value lies in building and evolving the service.

**Valued tools and skills**

Analytics & Tagging
- Google Analytics 4 (GA4), Google Tag Manager (GTM)
- (Plus) Server-side tagging, Adobe Analytics

BI & Data
- BigQuery / SQL
- Looker Studio
- Power BI or Tableau
- Google Sheets / Excel (advanced level)

Privacy
- CMPs: OneTrust, Usercentrics, Cookiebot, Didomi
- Consent Mode, GDPR

Automation
- Supermetrics, Make, Zapier, Apps Script
- (Plus) Python

Mobile (plus)
- Firebase, AppsFlyer, Branch, or other MMPs/SDKs

**_ What you will do_**:
**Analytics, measurement, and data quality**
- Design measurement plans aligned with business objectives, translating KPIs into events, parameters, and tracking structures.
- Define and orchestrate data layers and tagging in collaboration with IT and development teams.
- Implement and audit analytics and media tagging (GTM or other environments), ensuring consistency and traceability.
- Ensure data quality by detecting discrepancies and defining validation processes and continuous monitoring.

**Privacy and compliance**
- Configure and manage CMPs and consent frameworks, ensuring regulatory compliance (GDPR, Consent Mode).
- Ensure that measurement and data activation respect privacy-by-design principles.

**BI, data, and automation**
- Model and transform data through ETL processes from multiple sources (analytics, CRM, paid media, e-commerce, etc.).
- Design and maintain automated dashboards and reports for business, marketing, and performance teams.
- Connect platforms and build automation flows for data extraction, transformation, and visualization.
- Translate data into actionable insights, helping prioritize decisions with real impact.

**Applied AI and agentic approach**
- Explore and develop AI use cases applied to analytics and BI, such as:

- reporting automation,
- anomaly detection,
- assisted insight generation,
- intelligent alerts and process optimization.
- Collaborate on the design of workflows and intelligent agents to scale recurring tasks (data QA, exploratory analysis, documentation, validations, etc.).
- Actively participate in the evolution of the team’s value proposition by contributing ideas, improvements, and new ways of working with data.

**_ What do we offer you?_**:
At Alkemy, we work to help people develop their talent in a collaborative, demanding, and stimulating environment where ideas become reality.
- Projects with major national and international brands.
- A data-driven environment where analytics, BI, media, and technology work in an integrated way.
- Flexibility and a hybrid work model.
- A team culture based on collaboration, autonomy, and continuous lear