<aside> 🧡

Welcome to your journey with Pack!

This job offer is designed to help you determine whether you’re the right fit for us, both professionally and culturally.

You can apply for this position here:

</aside>

About us

PACK

Pack is the people development platform to optimize talents’ performance and engagement.

We help companies map skills, identify strategic gaps and build personalized development plans faster and smoother than traditional HR solutions.

We combine:

• An international network of elite mentors and coahes
• A platform that turns growth into a process, not a guess
• A proprietary methodology rooted in behavioral science and execution

OUR VALUES:

• Performance-Focused
• Continuous Development
• Straightforwardness
• Founder Mode
• Fast Underdogs

MAMBA MENTALITY:

"Hard work outweighs talent.

Mamba mentality is about 4 a.m. workouts, doing more than the next guy, and then trusting in the work you’ve put in when it’s time to perform. Without studying, preparation, and practice, you’re leaving the outcome to fate. I don’t do fate."

Kobe Bryant

WHY WE NEED YOUR HELP

We are looking for a Senior Data Analytics Engineer to build our data function from the ground up.

We need a builder who can help us forging the strategy leveraging a first principle thinking.

You will not just be executing tickets; you will be defining the "how" and the "why." You will act as the Architect, Product Manager, and Engineer all in one, ensuring that we build a scalable, trustworthy foundation that drives business decisions.

About the role

Primary Responsibilities

Architecture & Strategy

• Design the Stack: You will evaluate our current needs and contribute to design the appropriate data architecture. You will actively participate in defining the right balance between speed and scalability, choosing the tools that fit our stage (whether that is a modern data stack, product analytics, or a hybrid).
• Build from Scratch: You own the "plumbing." You will set up the infrastructure to ingest, transform, and store data from our production systems and third-party tools.
• Scalability: Design a system that serves us today but won't break when we scale 10x.

Data Quality & Validation (The Guardrails)

• Trust is Everything: You are the gatekeeper. You will implement automated testing and validation rules to ensure that if a metric looks wrong, we know about it before the CEO does.
• Instrumentation Standards: Work with Full Stack engineers to define what we track. You will create the Tracking Plan to ensure data consistency across the platform.

Metrics Definition & Visualization

• Partner with leadership to translate vague business questions into strict mathematical definitions (e.g., Retention, MRR, Activation).
• Build the "Source of Truth" dashboards that Leadership and Product teams check every morning.
• Ensure logic is DRY (Don't Repeat Yourself) and version-controlled.

Secondary Responsibilities