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!

Apply with indeed
File types (doc, docx, pdf, rtf, png, jpeg, jpg, bmp, jng, ppt, pptx, csv, gif) size up to 5MB
File types (doc, docx, pdf, rtf, png, jpeg, jpg, bmp, jng, ppt, pptx, csv, gif) size up to 5MB