Marketing Data Analyst

About us

Mutinex is a data and marketing analytics startup transforming the multi-trillion-dollar advertising industry by challenging the traditional consulting-based approach to Market Mix Modelling.

We are expanding our team and welcoming experienced talent to build collaboratively our globally-used and transformative marketing measurement product suite - GrowthOS, DataOS, MAITE.

We empower marketers by helping them to understand the value of their past decisions and the impact of future marketing spend.

With offices in Sydney, Melbourne and New York City, we encourage you to work in the way that maximises your performance

About the team

Our Marketing Data Analysts partner with customers to integrate their marketing and sales data into GrowthOS, our flagship media decisioning platform.

You'll work with complex, high-volume data sets, transforming through our proprietary, AI driven solutions to enable advertisers to make informed media and marketing investment decisions.

This role requires prior experience with marketing or media data. You'll leverage SQL and Python extensively for data wrangling, cleaning and transformation.

The role

As a Marketing Data Analyst on our Customer Onboarding team, you'll be instrumental in Mutinex's growth by ensuring seamless customer integration with our suite of product solutions. Reporting to the Head of Data Solutions and collaborating closely with our Onboarding Manager, you'll guide customers through data integration via our DataOS platform.

Key Responsibilities

• Lead technical data onboarding for new GrowthOS customers
• Analyse and validate diverse marketing data sources for platform compatibility
• Collaborate directly with customers to clarify data requirements and optimise data supply strategies
• Partner with Marketing Scientists and fellow Data Analysts to refine onboarding process
• Provide customer feedback to Product and Data Science teams to inform platform development
• Drive the development of new analytical capabilities for automating data quality reviews

What we are looking for

The key requirement in this role is that you have 1 year or more commercial experience in roles that require analysis of marketing data. Marketing/Media Data analysts experience is ideal or you've been in Data Analysts roles with a lot of exposure to Marketing/Media data.

We're also looking for

• Strong SQL & Python skills
• Strong customer facing ability including communication, stakeholder management & time management
• Experience performing Exploratory Data Analysis (EDA)
• Highly organised people looking to join and exciting, fast-growing tech start up

Why Work With Us?

• Real Customer Impact:
  Your work directly shapes our platform and the success of our customers
• Challenging, Meaningful Work:
  Tackle complex data and infrastructure problems at scale
• Autonomy and Ownership:
  Drive initiatives end-to-end with support when you need it
• Learning and Growth:
  Collaborate with a thoughtful team of engineers and data scientists who love what they do
• Equity Ownership:
  All team members receive equity (ESOP)
• Parental Leave:
  12 weeks paid leave for the primary carer, and 6 weeks for the secondary carer after 2 years
• Generous Time Off:
  20 days of annual leave to start, plus 5 extra days after your first year, and 1 additional day each year after that (up to 30)
• Work from Anywhere:
  Take your laptop and work from anywhere in the world for up to 6 weeks each year

We're Committed to Inclusion

Mutinex is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants of all backgrounds, experiences, identities, and abilities.

If you need adjustments or accommodations during the application process, just let us know, we're happy to support you.

Ready to Join Us?

If this sounds like a place where you'd thrive, we'd love to hear from you. Send us your resume and a short note about why this role excites you—we care more about what drives you than perfect formatting.