Join the Global Pioneer of Predictive Demand Intelligence

At PredictHQ, we’re redefining how businesses forecast demand by eliminating blind spots caused by unforeseen, event-driven disruptions. As the leader in predictive demand intelligence, our AI-powered platform helps companies master predictability - empowering them to optimise inventory, staffing, pricing, and marketing by understanding not just what events are happening, but why they matter.

From concerts and sports games to unexpected weather events and airport disruptions, we track and forecast the impact of millions of real-world events across the world. Our platform leverages cutting-edge machine learning to create high-quality, forecast-grade data to deliver actionable insights via powerful APIs and an intuitive web app. The result? Businesses can anticipate demand spikes and dips with unmatched accuracy and agility.

Our dynamic models adapt to changing conditions in real time, allowing customers to make smarter, faster decisions. That’s why industry giants like Domino’s, Uber, Expedia, and IHG rely on PredictHQ to stay ahead of demand and turn unpredictability into opportunity.

Founded in 2016 and backed by Lightspeed Venture Partners, Sutter Hill Ventures, and Aspect Ventures, PredictHQ has offices in Auckland and San Francisco.

Our Values

PredictHQ is about teamwork to achieve huge things. We are building innovative and complex products, so our empathetic, hard-working culture is key to our success. We are proactive in helping our teammates grow and thrive in their careers, as well as making sure everyone can put their family and friends first.

Job Purpose 🎯

We’re looking for a Data Analyst to join our high-performing Sustained Engineering team - a curious, impact-driven, cross-functional group focused on maintaining and strengthening the quality, reliability, and governance of our events data. This role is responsible for ensuring data quality and reliability, while continuously strengthening the systems and processes that support our product at scale.

You’ll work at the heart of our data platform, collaborating closely with software engineers, data engineers, data scientists, and data quality specialists to investigate complex data quality issues, improve detection and monitoring, and ensure our core datasets remain accurate and trustworthy. Using Snowflake SQL, Python, and AI-driven tooling, you’ll automate manual workflows, resolve data quality problems at scale, and help the business move faster with confidence.

This is an opportunity to join a forward-thinking, AI-centric company with global impact, where you’ll be encouraged to prototype ideas, improve how we work, and make meaningful contributions from day one - surrounded by people who value high-quality, clean data as the foundation of our product. 

Key Responsibilities 🔑

• Write, use and maintain automated data quality checks and dashboards.

• Proactively identify and investigate unexpected behaviour or unusual patterns in our data or pipelines.

• Maintain clear, concise documentation of quality issues and any resolutions.

• Monitor, action and improve our data observability tests and take an active role in owning improvements to our data quality.

• Continuously expand your technical product knowledge and stay up to date with product updates.

• Support ad-hoc analysis requests from product, marketing, and customer success teams.

• Partner with our customer support team to investigate and understand data questions/needs.

• Regularly share learnings and best practices with the wider team.

Skills, Knowledge and Competencies 🧠

• Excellent verbal and written communication skills.

• Strong analytical and troubleshooting skills, with a structured approach to problem-solving.

• Ability to efficiently investigate, analyse and diagnose data issues.

• Comfortable working in a cross-functional team and handling diverse tasks.

• Quick to learn new tools, adapt to new technologies and updates related to the product and our data.

• Solid understanding of data quality principles and their role in delivering a great customer experience.

• Basic statistics/spreadsheet skills (summarising, trend detection and insights).

• Basic experience writing and running SQL and/or Python scripts.

• Experience using AI tools (e.g. ChatGPT) to complete manual tasks and/or highlight data quality issues.

Nice to have ➕

• Experience with dashboarding or visualisation (PowerBI, Looker, Excel or similar BI tools).

Benefits 💛

• Health Insurance

• Paid Birthday Leave and Paid Family and Friends Day Leave

• Strong focus on your training and development

• 10 weeks of fully paid parental leave

• Flexible work arrangements

• A hybrid work environment centred on collaboration, agility and fun

• Options in a fast-growing company in its early stages

• $500 annual stipend to support your work-from-home setup