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Marketing Data Analyst


Full Time

About Amber

About the Role

Be the first specialised Marketing Data Analyst at Amber and build out our marketing analytical framework, reporting, and visualisations tools. Lead the charge on our big opportunities to use data across marketing in order to scale faster and create more value for customers (and the planet). Work closely with the marketing, technology, finance, and management teams to give us the right information to continue rapidly growing Amber.

We’re looking for a Marketing Data Analyst who is excited about applying their analytical and problem solving skills to define, measure and ultimately democratise data, metrics and insights that drive decision making across marketing and the business. The ideal candidate will also have strong interpersonal skills to work seamlessly across the organisation and drive forward recommendations.

You’ll be the first member of our marketing analytics team, reporting into our CMO. You’ll collaborate closely with our central Data Analyst on cross-functional projects.

Key Responsibilities
  • Work closely with the marketing and management team to identify important questions, answer them with data, and drive informed business decisions
  • Define sources of truth and data dictionaries for key metrics across marketing
  • Design and develop marketing data analytics suite and infrastructure to support growth, including end-to-end tracking for clean marketing views at the product and revenue level
  • Contribute to our data privacy philosophy and policy, as well as relevant 3rd party data usage
  • Set goals, forecast and track pacing, and identify root causes of and actions for any variances 
  • Drive analysis around marketing spend and ROI to inform intelligent investments and targets
  • Streamline marketing reporting and visualisation of metrics into user-friendly dashboards to empower the team. Examples include, but not limited to: top line growth model, channel performance, funnel reporting, NPS reporting, customer survey analysis, and brand tracking 
  • Apply models on large datasets to find actionable insights from deep dives, such as segment-specific analysis of engagement, retention, LTV/upsell propensity
  • Build innovative approaches with prediction and automation to supercharge our targeting capabilities and opportunities for personalisation 
  • Partner with the team to generate sound hypotheses and ensure proper experimental design and analysis, enabling fruitful optimisation from A/B testing
  • Leverage your clear communication skills to distil the takeaways of your technical work to stakeholders across levels and functions and influence leadership’s decision making

About You

Key Requirements

  • 3+ years of experience in a Marketing Data Analyst and/or Data Science role, with a focus on building data dashboards and/or analysing large data sets to solve problems.
  • Degree in a quantitative field (e.g., Statistics, Economics, Math, Sciences, Engineering)
  • Knowledge of cloud-based analytics implementations to process large datasets (e.g. SQL, Python/R, dbt), including concepts such as using cloud functions for data transformation
  • Knowledge of data visualisation using modern BI tools (e.g. Power BI, Tableau, Looker)
  • Experience working with (and ideally setting up) marketing analytics, across website data, advertising platforms such Facebook & Google, CRMs, CDPs, and social monitoring
  • Experience with marketing concepts, such as measurement for paid, earned, and owned channels, multi-touch attribution, campaign analysis, lifecycle management, LTV & CAC
  • Skills in experimental design, such as A/B tests, causal impact analysis, incrementality testing 
  • Understanding of best practices across analysis of quantitative and qualitative data
  • Proven ability to work cross-functionally, building and maintaining trust with internal stakeholders and driving forward data-driven business decisions
  • High attention to detail with strong prioritisation and organisational skills
  • Excellent communicator who can distil complexity into impactful storytelling with data
  • Thrives in uncertain situations and a fast paced environment but are always trying to put structure around things and focus on impact


  • Be part of a growing technology startup that will shape the future of renewable energy in AU
  • Exciting coworking location in the CBD
  • Flexible working hours with provision for regular work from home arrangements
  • We offset 100% of your carbon footprint for as long as you work with us (via Nul)
  • Equitable gender neutral parental leave policies
  • An external Employee Assistance Plan for mental health support
  • Competitive salary and equity

This is a full time role based in Melbourne. Due to Covid, we mostly work from home, with one to two days a week catching up in a coworking space in the CBD. We expect to remain Melbourne based but maintain flexibility between the office and working from home.

What we believe a great team looks like

  • We build a brand that customers love. We understand our customers and create a positive connection with them through every interaction. We deliver such surprise and delight that they enjoy telling their friends and family about it.
  • We look beyond growth to customer value. We seek to grow not just via the lowest cost customer but the right customers that will love their Amber experience and greatly benefit from what we have to offer.
  • We are willing to take calculated risks on bold ideas. We seek to do things differently and are willing to try creative ideas if we believe there is significant upside, with a culture where we recognise that not all ideas will succeed.
  • We take a hypothesis driven approach. We listen to our customers and develop hypotheses of actions we can take to improve every aspect of our marketing and run experiments to test if those hypotheses are true.
  • We are data driven. We set up the systems to easily track the performance of each new hypothesis so we can quickly determine whether or not we were right.
  • We seek insight. We seek to disaggregate the data to draw out the insight from an experiment to inform our next hypothesis.
  • We continually learn and improve. We keep track of the experiments we have run and the lessons we have learnt so that we continually improve and never make the same mistake twice.
  • We prioritise the biggest opportunities. We test a variety of channels but quickly cut what isn’t working and double down on what is.
  • We develop a repeatable growth process. We create repeatable channels and scalable programs for growth. We seek to build a growth engine with predictable results and acquisitions costs.
  • We see ourselves as one team and have fun. We work closely with the tech and operations teams to build a delightful product and customer experience. We trust each other. We love coming to work, and interacting with our colleagues and customers. If we spot an opportunity for a joke, or to do something nice for someone, then we take it.

What we believe a great team looks like

How to Apply

Please submit your CV and cover letter to, using the subject line: [Your Name] - Marketing Data Analyst.

For bonus points demonstrate your fine attention to detail by mentioning the name of the firm we use to offset employee emissions in your cover letter.

  • What is a high-potential opportunity for predictive analytics you see for Amber to leverage within marketing?

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