Job title: Senior Data Analytics Manager
Job type: Permanent
Emp type: Full-time
Industry: Information Technology (IT)
Skills: SQL Python R
Salary type: Annual
Salary: AUD $200,000.00
Job published: 07-07-2025
Job ID: 54212

Job Description

Senior Data & Analytics Manager - Lead Data with Purpose & Scale
Sydney or Melbourne / Hybrid | Full-Time |

Up to $180k + super + excellent shares & benefits

Join a fast-scaling, mission-driven company redefining preventative health. With over $60M in funding, a physical product at national scale, and thousands of loyal customers, this is your chance to lead real impact while staying close to the data & tech. 

The data analytics and engineering function is deeply embedded across the business — from operations to product, marketing and customer. Their mission is to drive a data-first culture by building trusted data products, delivering proactive insights, and owning key performance metrics.

What You’ll Be Doing:

You’ll lead a team of five (3x Data Analysts, 2x Data Engineers) while staying hands-on — helping execute a high-impact roadmap including:

  • Data migration projects and rollout of a new AWS-based architecture

  • Working with manufacturing teams to pull data from production lines and measure performance

  • Partnering with marketing, customer, and product teams to deliver reporting and insights

  • Bringing rigour to data products, reporting, dashboarding, and data access

  • Hiring and mentoring as the team grows

  • Championing data literacy across a fast-moving, cross-functional business

What we are looking for:

You could come from a D2C, eCommerce, or digital brand background — with deep understanding of customer data, marketing, and experimentation. Or you might bring hardware (IoT data) or manufacturing/supply chain experience — someone who loves pulling operational data and finding ways to optimise the physical world.

Either way, you:

  • Have experience across data analytics and data engineering with strong hands on skills in AWS (S3, Glue, Athena), Snowflake, Python or R, SQL, dbt, Airflow

  • Are confident leading small teams across analytics and data engineering project delivery

  • Comfortable in ambiguity. Skilled at connecting dots across finance, marketing, ops, and manufacturing.

  • Know when to build vs. buy, and how to weigh cost, scale, and speed

  • Are emotionally intelligent, collaborative, and curious 

Perks and benefit:

  • Annual learning and development budget

  • Up to 18 weeks paid parental leave top-up

  • Work from anywhere for up to 8 weeks each year

  • Hybrid-friendly (2 days in office) and pet-friendly offices

  • Wellbeing and fitness tools/subscriptions included

Interested? Apply now or message Ailbhe on Linkedin if you’re keen to know more!