Analytics Engineer (Fixed Term - 12 months)

Les Mills; Auckland; Hybrid; NZD 80,000 - 120,000; Full time

Job summary

Join Les Mills as an Analytics Engineer on a 10-month fixed-term contract. This role involves leveraging data to create actionable insights, developing analytics pipelines, and collaborating with teams to enhance reporting. The ideal candidate will have strong skills in SQL, Python, and data visualisation tools, contributing to a fitter planet.

Benefits

Free gym membership and LM+ Subscription

Health Insurance discount

Friday drinks

Monthly companywide parties/events

Global mobility

Dog-friendly office

Volunteer day

Free fresh fruits & snacks

Qualifications

• Minimum 3 years experience in data engineering or analytics.
• Proficiency with SQL and Python required.
• Experience in data modelling and visualisation tools.

Responsibilities

• Develop and maintain analytics pipelines and dashboards.
• Collaborate with teams to drive data insights.
• Support LMI’s growth through data-driven decisions.

Skills

SQL

Python

dbt

Data Visualisation

Analytical Skills

Problem Solving

Tools

Power BI

Git

Snowflake

Job description

Analytics Engineer (10-month Fixed Term Contract)

Unlock the Power of Data: Join LMI as an Analytics Engineer!

The role:

Are you passionate about transforming data into actionable insights? At LMI, we're seeking a dynamic Analytics Engineer to join our cross-functional team on a 10-month fixed-term contract. In this role, you'll leverage your expertise in data modelling, programming languages, and data visualisation to develop our reporting layer and fuel our company's growth.

You'll collaborate with diverse teams to design, develop, and maintain analytics pipelines, create dashboards, and maintain strong relationships with stakeholders. If you're ready to make a significant impact and support LMI’s future success, we want to hear from you!

The ideal candidate will have:

• A minimum of 3 years of experience in data engineering, analytics engineering, data analysis, or a related field.
• Proficiency with SQL
• Experience in data modelling & dbt
• Expertise in programming languages such as Python and R
• Experience with data visualisation tools
• Excellent analytical, problem-solving, and critical thinking skills, with a focus on driving results and continuous improvement

The skills needed for this role are:

• dbt
• SQL
• Git
• Python
• Power BI

Preferred skills

• Snowflake

About Les Mills International:

At Les Mills, unlocking and amplifying that inner drive to achieve our goals is something we’re not shy to say we’re great at. While the Les Mills gyms that you know and love are in Aotearoa, our hustle is taking Les Mills group fitness classes to the world. Today, Les Mills International's programs are in 22,000 gyms across over 100 countries—paired with our digital subscription service LES MILLS+ (like Netflix for workouts). It’s an exciting time to be part of our global company. Our mission is simple: to create a fitter planet.

You don’t have to be a fitness fanatic to fit in here, but you can make a workout part of your workday. If you want to continue your professional career in jandals or gym gear, Les Mills International could be the place for you.

What’s in it for you:

We operate as a flexible and hybrid workplace, encouraging work/life balance through a mix of office and remote work. Whether working from home, going to the gym, or managing family commitments, we want our employees to feel comfortable and empowered.

We offer some great benefits that include:

• Free gym membership and LM+ Subscription
• Health Insurance discount
• Friday drinks
• Monthly companywide parties/events
• Global mobility
• Dog-friendly office
• Volunteer day
• Free fresh fruits & snacks

We are a Gold Supporter of the Pride Pledge organization, committed to providing a flexible, diverse, and inclusive environment. We believe our people are key to achieving our growth goals and industry-leading innovations. If you’re excited about this role, we encourage people of all backgrounds to apply, even if you don’t meet every requirement. We might have something perfect for you. We value concepts of togetherness, support, equity, and respect, beginning with increasing diversity in our teams.