Position Overview:

We're accesso Intelligence (powered by Dexibit). 🦖 🎢 🐅 🗼 🖼️ 🎡 🏟️

accesso Intelligence is the intelligence layer for the business of fun — serving iconic visitor attractions around the world. Not just data, but AI that understands how attractions actually work, helping teams make insightful decisions then act on them: getting more visitors through the door, spending, engaging, leaving happily and returning loyally, with efficiency.

With 25 years of deep industry experience behind us and Dexibit's AI pedigree inside us, you get the best of both worlds: startup culture close to the ground up, with the scale of a listed company behind you.

What we build:

accesso Intelligence sits on top of the world's richest cross-vendor dataset for visitor attractions — integrating with 100+ industry source systems across ticketing, F&B, retail, queuing, CRM, operations and more. That data foundation is what makes everything else possible: the conversational insight, the forecasting, the benchmarking, the AI.

Where you fit:

We're looking for a Data Implementation Engineer to own the technical delivery of accesso Intelligence integrations, then executing that pattern reliably and at volume across our customer base. You’ll be building upon, and maintaining, our class-leading data platform.

What makes this role distinct is the combination of technical execution with genuine understanding of how attractions actually operate commercially. A revenue share arrangement between a venue and an operating partner, a multi-operator ticketing setup, a seasonal membership model with complex redemption logic — these aren't edge cases, they're the norm. Getting the data right means understanding the business behind it.

Location: Auckland based, hybrid (~3 days in our Parnell office / optionally ~2 at home)

Reports to: VP, accesso Intelligence

Travel ✈️ Requirement: None

What you'll be working on:

• Establish the integration patterns. Work with the data engineering team to define how accesso Intelligence connects to each accesso product. Data model, transformation logic, semantic mapping, quality thresholds. This is foundational work you'll do once per product (and refine over time) rather than reinvent per customer.
• Scale and maintain across customers. Onboard new customers onto each integration — configuring per venue, validating data integrity against our acceptance criteria. Then own the ongoing health: change requests, configuration updates, and diagnosis when something breaks or drifts.
• Build derived datasets and transformations. Beyond raw integration, you'll help build the derived datasets, transformations and semantic mapping that turn source data into meaningful, analytics-ready inputs — the layer between what a system outputs and what accesso Intelligence needs to deliver insight.
• Close the feedback loop into accesso. You'll be the eyes and ears of integration reality. We all want to find the global optima. Sometimes that means feedback into the product and engineering teams to shine a light on opportunities and future use cases.
• Work directly with customers on data. You'll engage with customer technical and operational contacts through onboarding and beyond — handling data queries, managing expectations on timelines and data quality, and translating between what customers have and what the platform needs.

What you bring to the role:

• You're fluent in Python and SQL, comfortable with data platforms and transformation tools, and have experience building and maintaining integrations with APIs and third-party systems. Our stack runs on DuckDB and MotherDuck — you don't need prior experience with them, but you should be the kind of person who finds that interesting rather than a detour from the tools you'd rather be using.
• You know data doesn't exist in a vacuum. You build a working mental model of how operators actually run: their business rules, revenue arrangements, data quirks and organisational structure. Not just their schema.
• You're pattern-minded. You find the repeatable approach, document it, and execute at volume — without letting consistency become rigidity when a customer's situation genuinely requires something different.
• You're customer-oriented without losing your technical edge. You can sit on a call with a customer's data team, translate their needs into integration requirements, and communicate clearly about what's possible and when.
• You care about data quality like it's personal. Acceptance criteria, integrity checks, derived logic — you hold the line on what good looks like, because you know the difference between a quick fix and the right one.

How you got here:

There's no single path to this role, especially in the age of AI. You might be:

• A data or software engineer who's done integration or implementation work and wants a role where you can see the direct impact of your work on real customer outcomes

• Someone from a SaaS implementation or solutions engineering background who has strong data fundamentals and wants to go deeper technically

• A data analyst or BI engineer who's crossed over into pipeline and integration work and thrives at the intersection of technical delivery and customer context

• Someone from the attractions, hospitality or cultural sector who's worked closely with data systems and wants to turn operational knowledge into implementation expertise

About Nintex: 

At Nintex, we are transforming the way people work, everywhere.  

As the global standard for process intelligence and automation, we're trusted by over 10,000 public and private sector organizations across 90 countries. Our customers, from industry giants like Amazon, Coca-Cola, and Microsoft, rely on the Nintex Platform to accelerate their digital transformation journeys by managing, automating, and optimizing business processes quickly and efficiently. We improve their lives through the technology we build.

We are committed to fostering a workplace that supports amazing people in doing their very best work every day. Collaboration is constant, our workplace is fun, the environment is fast-paced, and we value our people’s curiosity, ideas, and enthusiasm. Driven by passion and accountability, we take initiative, measure progress, and deliver results. Our culture fosters innovation and problem-solving, fueled by curiosity and a commitment to thinking big. Together, we move with agility, prioritize customer needs, and build unity through empathy, leaving a positive impact wherever we go. 

About the role: 

Nintex is hiring a Financial Analyst to assist with corporate financial consolidations and  corporate reporting. Reporting to the Senior Finance Manager who is located in New Zealand, the ideal candidate will be a driven problem solver with high EQ who thrives in a fast paced, growth-oriented environment.  We are looking for someone with intellectual curiosity, who has a bias toward action and who is outcome oriented. The right individual will fit into a team culture that values collaboration, a willingness to help colleagues, and a “no task is too small” attitude. 

We desire a detail-oriented and process-oriented thinker with strong organizational and analytical skills.  

Your contribution will be: 

• Reporting: You will execute against deadlines to provide a variety of reports including monthly, quarterly, annual and ad-hoc analyses of key operating metrics. You will help drive the build out of reporting capability in the Adaptive Planning tool. You will also gain broader exposure to the creation of financials within a fast-paced PE-backed environment. Your work will be completed with an eye towards accuracy in a manner that captures drivers of key business outcomes.  Reporting requires pulling data from various of systems including Salesforce CRM, Adaptive, NetSuite, and Greenhouse ATS.  
• Analysis: You will be expected to deliver impactful business analysis that extends beyond expense forecasting and variance analysis. Projects may be one-time or recurring, but will deliver data and recommendations that steer the direction of Nintex. 
• Providing financial support to the Finance organization: The Financial Analyst will focus on consolidating results for budgeting/forecasting. You will work with the finance management team to assist them in understanding actual performance versus expectations (e.g., forecast and budget). 

To be successful, we think you need: 

• BS/BA with coursework in Finance and Accounting or similar degree 

• 1-3 years FP&A experience 

• High proficiency in Excel and PowerPoint 

• Interest in developing a career in Enterprise Software FP&A 

• Experience with Adaptive Planning, NetSuite, Power BI, SQL and Salesforce or like systems a plus 

What’s in it for you? .

Nintex has a hybrid working model, enabling us to build culture, learn, and grow together. We intentionally connect and collaborate, while emphasizing flexibility with a blend of at-home and in-office work. This role is remote, with intentional opportunities to collaborate and connect with your colleagues both async and in person.

While our offerings differ from country to country, we offer our entire global workforce an array of exciting perks and benefits, including 

• Global Gratitude and Recharge Days
• Flexible, paid time off policy
• Employee wellness programs and counseling resources
• Meaningful peer recognition and awards
• Paid parental leave
• Invention/patenting assistance
• Community impact, paid volunteer time, and opportunities
• Intercultural learning and celebration
• Multiple tools through which to learn and grow, and an incredible global community 

View more about our benefits here: https://www.nintex.com/wp-content/uploads/2023/01/Global-Perks-and-Benefits.pdf.  

#LI-REMOTE