Analytics Engineer

About GigSafe GigSafe is building the system of record for credentialed 1099 work. The companies we serve operate in regulated, high-stake industries, and we help them onboard, verify and keep their independent contractors compliant. The platform manages the full independent contractor lifecycle – onboarding, background checks, insurance verification, credential monitoring, training and payments – through a single platform. We are in a growth phase – expanding our platform, our team and our footprint across every credentialed 1099 vertical. As we continue to grow, we are building out the data infrastructure and analytical capabilities that power smarter decisions across every part of the business. For more information, visit gigsafe.com . Role Overview We're looking for an Analytics Engineer to join our team and play a hands-on role in the data and analytics function that keeps GigSafe running. This role will own the data stack end-to-end – from building data pipelines to surfacing insights that drive real decisions across the business. There is no dedicated data team yet. You'll be the first, and you'll define what this function becomes. This is a role with real ownership from day one – you'll define the problems, build the infrastructure and deliver the insights. You'll work in a fast-paced, high-growth environment where your work has immediate impact, with close collaboration across engineering, ops, sales and product. What You’ll Do: Build and maintain data pipelines that keep our reporting clean, reliable, and scalable as we grow Write Python and SQL to extract, transform, and analyze data across our operator and worker platforms Partner with engineering to instrument new features and ensure we’re capturing the right signals from day one Translate data into decisions that teams actually act on, and build the data foundation that positions us to leverage AI tooling as we scale Define the right questions as often as you answer them – this role requires business intuition, not just technical execution Build the clean, reliable data layer that AI tools depend on What We’re Looking For: 3-5 years of experience Fluent in Python, SQL, and Jupyter notebooks – you ship analyses, not decks about analyses You’ve built or maintained a data pipeline before and know what breaks and why Obsessed with business context — you’ll learn our operators, our workers, and our economics deeply enough to know what questions are worth asking You get energy from enabling others — surfacing insights that empower our ops, sales, and product teams (and eventually our customers) to make better decisions Comfortable in ambiguity; you’ll define the problem as often as you’ll solve it Strong attention to detail, excellent organization, and the ability to manage competing priorities without dropping the ball Clear communicator – you can translate complex data into plain language for non-technical stakeholders Comfortable working alongside AI tools – you know how to use them but know their limitations Nice to Haves: Gig/marketplace experience – you have experience working at or with gig economy, last-mile delivery or marketplace platforms Startup experience – you’ve worked in an early-stage or high-growth startup environment and are comfortable without a lot of structure Operator/customer empathy – you’ve spent time close to operations or worked with non-technical end users and understand how dispatchers, drivers, and operators actually work This is a scrappy role. No dedicated data team yet. If you want to inherit a perfect stack, this isn’t it. If you want to build one, let’s talk.​​​​​​​​​​​​​​​​ Location Austin-based or willing to relocate Benefits Health, Dental & Vision: Comprehensive medical, dental, and vision coverage for employees and dependents Unlimited PTO: Flexible time off plus paid company holidays Competitive Compensation: Competitive base salary with opportunities for performance-based bonuses 401(k): Retirement savings plan Equity: Stock options giving employees a meaningful stake in GigSafe's growth Parental Leave: Paid leave for all new parents