Senior Data Analyst

Narrative is one of NZ's fastest growing software-as-a-service (SaaS) companies.

We build products that cater to a market of millions of professional photographers worldwide, working to significantly reduce their processing time by supporting a better daily workflow with AI powered tools.

Our AI-powered tools help professional photographers from more than 160 countries improve their photo selection and photo editing workflows, significantly increasing their productivity.

With the backing of top-tier Venture Capitalists – including Founders Fund – and a team of exceptionally talented staff, we are committed to driving innovation in this space.

Why you'll love working here

Flexible and remote working options

1 month paid parental leave in addition to government leave

30 hours a week for up to 6 months on full pay following return from parental leave (for both birthing and non-birthing parents)

Extended sick leave to support our team to get through the many things life can throw your way.

Based in our office on Karangahape Road in Auckland, New Zealand, with the option to work remotely for three days a week.

We find it's important to have time for face-to-face communication, while also allowing some days to work from home, if one wants.

Competitive salary commensurate with skills and experience, a 6 monthly review cycle, plus participation in a generous employee share option scheme.

About the Role

As the Senior Analytics Analyst, you will play a central role in shaping how data is used across the organisation to drive decision making and business performance.

You will own the company's data infrastructure, metric frameworks and analytics enablement, ensuring teams are empowered with accurate, accessible and actionable insights.

This role requires strong analytical excellence, the ability to translate complex data into business narratives, and proactive leadership to foster a data informed culture.

You will report into the Head of Product and work with an amazing product team on the daily, but also help out with analytics for the whole company.

We're looking for someone who takes initiative, is willing to get into the weeds and has a real start up mentality.

If you're someone that thrives in a fast paced, scrappy and proactive environment, then this role is for you!

What You'll Do

Own and evolve the company's end to end data pipeline, ensuring accuracy, scalability and trust in the data used for decision making.

Define, maintain and socialise clear metric trees, establishing consistent measurement frameworks for company wide and product performance metrics.

Drive data literacy and self serve analytics by delivering high quality dashboards, training, documentation and company wide enablement resources.

Help support and up skill the team in analytics best practices prompting consistent and impactful methods of uncovering insights.

Lead deep product analytics to uncover behavioural insights, translate findings into strategic recommendations, and guide product experimentation and growth decisions.

Partner with Marketing to analyse campaign performance, acquisition funnels and key growth levers, providing insights that support revenue and customer growth.

Provide occasional analytical and data support to Operations as necessary, including organising datasets, responding to data requests, and ensuring information is accurate and accessible.

Maintain robust data documentation, including data models, metric definitions, dashboards, and analytics processes to ensure clarity and continuity.

Build and reinforce strong data governance practices, driving alignment on definitions, standards, data quality and reporting conventions.

Influence cross functional decision making by presenting clear and compelling data narratives to stakeholders at all levels.

Collaborate with Product, Engineering, Marketing, and Operations to prioritise analytics initiatives that deliver meaningful impact.

About You

We are seeking a highly skilled analytics leader who is motivated by clarity, precision and the power of well-structured data to influence meaningful decisions.

You care about how information flows through an organisation and how it shapes strategy, product direction and day-to-day decision making.

You enjoy working hands-on with data models and pipelines, while also thinking strategically about how metrics, definitions and insights connect to business and product outcomes.

You're comfortable navigating ambiguity and shaping structure where it doesn't yet exist.

You enjoy the balance of hands-on technical work with strategic thinking and stakeholder collaboration.

You're motivated by helping teams frame better questions, discover meaningful insights, and make decisions confidently.

You're skilled in guiding others toward better questions, better measurement and better storytelling with data.

You will bring :

Extensive experience managing and scaling data pipelines, models and analytics infrastructure in a fast-moving environment.

You want to own the analytics function end-to-end and help shape a data-informed culture.

Strong analytical instincts with the ability to extract meaningful insights from complex datasets and translate them into influential business recommendations.

You are someone who cares deeply about clarity in metrics, in data modelling, in communication, and in how insights guide decision making.

Expertise in building and maintaining metric trees and KPI frameworks to enable consistent measurement across teams and initiatives.

A commitment to fostering a data-informed culture through enablement, documentation, training and clear communication.

Demonstrated ability to deliver deep product analytics that shape roadmap direction, feature prioritisation and growth experimentation.

Clear and concise communication skills, including the ability to simplify complexity and influence stakeholders across levels, including leadership.

Leadership in driving data governance, quality and documentation practices to ensure trust and alignment in data assets and insights.

A collaborative mindset with experience working closely with Product, Engineering, Marketing, Finance and Operations to align priorities, timelines and outcomes.

Your approach balances technical strength with curiosity, patience and the ability to bring others along.

You care about building systems that last and about helping people make decisions confidently.

Skills & Experience

Required

3+ years of SQL experience, with strong ability to write performant, maintainable queries

3+ years of Python experience for analytical workflows and automation

Hands-on experience with

Databricks or similar cloud data platforms

Hands-on experience with

dbt (or similar data modelling frameworks)

Experience building and maintaining dashboards, metric layers, and BI workflows

Strong analytical instincts and the ability to translate data into meaningful insights

Nice to Have

Experience in a SaaS environment and / or data for product-led growth

Familiarity with experimentation frameworks or product-led growth type analysis

Experience guiding data literacy and enablement across teams

Narrative is committed to building AI software that works for people from all genders, ethnicities, racial and religious backgrounds.

We want our team to reflect this focus.

Research shows that men apply to jobs when they meet an average of 60% of the criteria, while women and other underrepresented individuals tend to only apply when they check every box.

So, if you really love the idea of working for Narrative, and think you have what it takes, please apply, even if you do not tick every box in the job description.

If this sounds like you, please apply with a cover letter and CV directly on SEEK.

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