Senior Analytics Engineer (f/m/x)

In short: Full-time position. Europe remote or Berlin, please only apply if currently residing in the EMEA area (EU or UK preferred) [We don't work with external recruiters & agencies].

We are Gigs

• Gigs is a telecom-as-a-service company building a global connectivity platform.
• Our core product is an API that connects telecom networks from multiple countries:
• For businesses: we make it simple to integrate through a single API and sell phone and data plans to their customers.
• For consumers: we make it simple to subscribe to and manage a phone plan with a few clicks. A phone plan you’ll love to use yourself. Easy, transparent & globally connected for your smartphone, smartwatch, or IoT device.
• We are backed by Google Gradient Ventures and Y Combinator, as well as the investors behind Facebook, Dropbox, and Airbnb. As part of Gigs, you will have access to the teams, resources, and support from any company we work with. We count on a team of world-class advisors and angel investors who can help us navigate our rapid growth.
• Gigs was part of the YC W21 and YC Growth W23 batches and has recently raised a $20MM Series A.

🔧 The position

• Join our expanding data team. As the Senior Analytics Engineer, you will be a vital addition to our dedicated data team at Gigs. Collaborate closely with Chris, our data analysts Mick and Thao, our data engineer Bram, and other Gigsters to enhance our and improve our data capabilities.
• Drive our Northstar Vision at Gigs. You will refine existing metrics and introduce new KPIs to steer our business forward. Your role is pivotal in defining business logic, implementing it through SQL in dbt, and ensuring that metrics are prominently presented across the company.
• Lead in data modeling and building for scale. Partner with teams from diverse domains and roles. Empower them to harness the potential of data from their daily tools and derive meaningful outcomes.
• Become our data modeling pillar and SQL advocate. As our business matures we will need to build for scale. Testing and documentation are close to your heart. Engage in data discussions, collaborate with stakeholders, and occasionally spearhead training sessions on Analytics tools to drive data literacy across Gigs.
• Pioneer central data modeling to unlock transformative use cases. Your expertise will be paramount in architecting centralized data models that continue to power initiatives like usage-based billing and customer-facing reports. By ensuring a unified and consistent modeling framework, you'll enable a multitude of functionalities that drive both operational efficiency and customer satisfaction.
• Find workarounds for data issues that scale. Our stack is built on top of event data. This means bugs from production can sometimes end up in our datawarehouse. You can build elegant workarounds for those issues that don’t slow us down in the future.
• Optimize and innovate with top-tier data tools. Our existing data infrastructure includes Fivetran, dbt, Bigquery, Looker and Hex. While these form our foundation, your vision will guide the exploration and incorporation of state-of-the-art transofrmation tools. We are always experimenting with new tools and approaches.

Requirements

We know that perfect candidates don’t exist. Even if not all of this applies to you, we’d love to learn more about you.

• This is not your first rodeo. With 5+ years of data modeling/data warehouse architecture experience, you are a knowledgeable and seasoned data professional with experience in high-growth tech companies. You have a proven track record of successfully managing all aspects of data products throughout their lifecycle and have managed multiple stakeholders in a fast-paced environment. Practical experience with dbt is required! Experience with event data is a plus.
• You eat flexibility for breakfast. You can grapple with ambiguity and can quickly shift gears when the needs change. You love solving difficult problems and exploring many areas within data.
• You are naturally curious. You love diving into raw data sets, understanding the underlying contents, diving into documentation and working with Engineers to abstract life cycle events into business logic. You are aware things constantly change so you keep tests front end center.