Senior Data Analyst at Serko Ltd.-Australia

Auckland, Auckland, New Zealand -

Full Time

Start Date

Immediate

Expiry Date

21 May, 26

Salary

0.0

Posted On

20 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, Power BI, Tableau, Snowflake, BigQuery, Statistical Analysis, Machine Learning, Data Quality, Data Governance, PySpark, Databricks, Data Visualization, Predictive Modeling, Stakeholder Communication

Industry

Software Development

Description

Serko is a cutting-edge tech platform in global business travel & expense technology. When you join Serko, you become part of a team of passionate travellers and technologists bringing people together, using the world’s leading business travel marketplace. We are proud to be an equal opportunity employer, we embrace the richness of diversity, showing up authentically to create a positive impact. There's an exciting road ahead of us, where travel needs real, impactful change. With offices in New Zealand, Australia, North America, and China, we are thrilled to be expanding our global footprint, landing our new hub in Bengaluru, India. With rapid a growth plan in place for India, we’re hiring people from different backgrounds, experiences, abilities, and perspectives to help us build a world-class team and product. Working at velocity with strong business acumen, you will partner with product, engineering, marketing, and senior leadership to identify opportunities, solve complex problems, and prioritise high-impact work. You will sit within Serko’s centralised Data Science & Analytics team, helping to foster a culture of data excellence and innovation. What you'll be doing Scope and deliver high-value insights from massive datasets to answer our toughest operational questions. Partner with stakeholders to define problems and deliver prioritized, actionable recommendations. Design clean dashboards and translate complex data into compelling stories for diverse audiences. Develop and deploy advanced statistical, predictive, and ML models. Identify data quality gaps and champion best practices company-wide. Mentor the wider data team on analytical techniques and stakeholder communication. What you'll bring We'd love to hear from you if you have: Experience transforming complex, technical concepts into engaging narratives that resonate with senior stakeholders and non-technical audiences. Strong working knowledge of SQL and Python, alongside experience bringing data to life using visualization platforms (e.g., Power BI, Tableau) and cloud data environments (e.g., Snowflake, BigQuery). An analytical mindset with a focus on statistical analysis and finding root causes, coupled with a genuine appreciation for data quality and governance. A desire to continuously learn and explore new areas, such as machine learning or modern tooling (like PySpark/Databricks). Meaningful, real-world experience. Whether you hold a tertiary qualification in a quantitative field or have forged your own path through practical application, your experience matters to us. At Serko we aim to create a place where people can come and do their best work. This means you’ll be operating in an environment with great tools and support to enable you to perform at the highest level of your abilities, producing high-quality, and delivering innovative and efficient results. Our people are fully engaged, continuously improving, and encouraged to make an impact. Some of the benefits of working at Serko are: A competitive base pay Medical Benefits Discretionary incentive plan based on individual and company performance Focus on development: Access to a learning & development platform and opportunity for you to own your career pathways Flexible work policy. How to Apply Hit the ‘apply’ button now, or explore more about what it’s like to work at Serko and all our global opportunities at . Check out our other great opportunities & video footage about life a Serko, at www.serko.com/careers If this sounds like you, then please click on the "Apply" button and follow the prompts.

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Responsibilities

The role involves scoping and delivering high-value insights from massive datasets to address operational questions, partnering with stakeholders to define problems, and delivering actionable recommendations. Responsibilities also include designing dashboards, translating complex data into stories, and developing advanced statistical and ML models.