Data Analyst (Colombia)

Data Analyst (Colombia)

06 ago
|
Jetpacks!
|
Colombia

06 ago

Jetpacks!

Colombia

About the Job

At Jetpacks!, we've got opportunities to offer you — for growth, for leadership, for big, world-changing impact and for, dare we say it, fun. We are a new startup committed to helping companies reach new heights together, by unleashing the Latin American power.

And that starts with you :)

Jetpacks! is looking for someone to join our LatAm team as Data Analyst. In this role, you'll be responsible for turning operational and delivery data into clear insights that help our client optimize every stage of the last-mile journey.

Our client is building the next generation of last mile logistics technology. Their software powers the delivery lifecycle from routing and driver assignment to real time operations, customer visibility, and delivery performance. As Data Analyst, you'll dig into that data daily, helping the team understand what's working, what's not, and where the next big improvement is hiding.

Role Responsibilities

- Analyze operational data across routing, driver assignment, and delivery performance to identify trends, bottlenecks, and opportunities for improvement.
- Build and maintain dashboards and reports that give the team real-time visibility into delivery operations.
- Partner with product, operations, and engineering teams to define key metrics and track them consistently.
- Investigate anomalies in delivery performance data and present clear, actionable findings.
- Support ad hoc analysis requests to help leadership make faster, data-informed decisions.
- Clean, validate, and structure large datasets to ensure data quality and reliability.
- Write SQL queries and use analytics tools to extract, transform, and visualize data.
- Document analysis methodology and findings so insights are easy to share and reuse.

How will you be supported? You'll be onboarded to the tech team organization. You will be part of a team and will communicate with them via Slack and Google Meet.



Periodic 1-on-1 meetings will be held to ensure you are successful and are having a productive and enjoyable experience.

Role Requirements

We want all new hires to succeed in their roles at Jetpacks!. That's why we've outlined the job requirements below. To be considered for this role, it's important that you meet all Minimum Qualifications. If you do not meet all of the Preferred Qualifications, we still encourage you to apply.

- 2+ years of experience in a data analyst or similar analytics role.
- Strong SQL skills and experience working with large, complex datasets.
- Experience building dashboards and reports using tools like Looker, Tableau, Power BI, or similar.
- Comfort working with data from operational or logistics systems.
- Strong analytical thinking and attention to detail.
- Availability to work either a Tuesday–Saturday or Sunday–Thursday schedule.
- Advanced English level.

Preferred Qualifications

- Experience in the logistics, delivery, or transportation industry.
- Familiarity with Python or another scripting language for data analysis.
- Experience working with real time or streaming data.
- Background working in a fast-paced startup environment.

About Jetpacks! Jetpacks! is a digital accelerator. We help companies reach new heights, together, by committing to working alongside them, unlocking the power of LatAm.

We strive at creating connections between people, data and technology to realize connected outcomes across the full lifecycle of the product and platform ecosystems.

We're makers, builders and creators by nature, and we come to work every day to build experiences for some of the world's most influential companies. We help businesses accelerate their digital roadmap, rapidly innovate, modernize their systems, enable their teams and optimize for continued growth.

We welcome our team members to show up as their authentic selves every day. Because this is so important to us, Jetpacks! is proud to be an equal opportunity employer.

📌 Data Analyst (Colombia)
🏢 Jetpacks!
📍 Colombia

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