Data Analyst at Livewire Markets

Sydney, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

17 Jun, 26

Salary

0.0

Posted On

19 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

BI Tools, Dashboard Building, GA4, Event-based Measurement, Attribution, Data Warehouses, SQL, Email Analytics, Lifecycle Performance, Cohort Behaviour, Experimentation, Test Design, Communication Skills, AI Tools, Data Modelling, Tracking Implementation

Industry

technology;Information and Internet

Description

Company Description At Livewire Markets, we exist to help investors make more informed and successful investment decisions. Through our two platforms - Livewire Markets and Market Index - we create, curate, and publish high-quality investment content for over 1 million investors every month. Market Index is the go-to source for comprehensive market data and ASX information, covering listed companies, ETFs, LICs, and REITs. Livewire Markets is Australia’s leading website for expert investment analysis, featuring insights from more than 500 respected investment professionals. As a fast-growing force in financial media, we’re looking for an Investment Writer & Editor to join our team and help power the next phase of growth, primarily through contributing to our Livewire website. Job Description We’re hiring a Data Analyst to establish a dedicated analytics owner for dashboards, definitions, deep-dive analysis and instrumentation quality. This role exists because analytics and reporting are currently spread across product leaders as part of the job, creating bottlenecks, manual reporting, inconsistent answers and limited capacity to move beyond baseline reporting into deeper insight. What you’ll do You’ll work closely with senior stakeholders across Engineering, Product, Sales, and Content Engineering, Content and Subscriptions. Your responsibilities will include: Company dashboards and reporting - Design, build and maintain dashboards used by teams across the business whilst establishing single-source-of-truth reporting where possible. Provide bespoke reporting and analysis, delivering fast, accurate ad hoc insights and clear recommendations that explain performance, identify issues and quantify opportunities. Act as the go-to analytics partner for the Partnerships team, delivering partner-ready reporting and audience insights across web, email and campaigns to support renewals, upsells and stronger commercial conversations. Also support Product, Content and Subscriptions with clear, scalable reporting that improves decision-making and enables more effective self-serve access to data. Contribute to our analytics strategy by improving how we measure performance as our tools and practices evolve. Partner with Product and Engineering to strengthen tracking, instrumentation and data quality, and support experiment design, measurement plans and post-test analysis so teams can make better decisions with confidence. What success looks like Foster and enable more of an experimentation approach and improved use of data within our product and engineering team. Partner reporting becomes a commercial advantage - improving reporting quality, reducing manual effort and supporting renewal and expansion conversations Richer audience and channel insights that help Product and Content improve traffic, repeat habits, recirculation and overall engagement Stronger email and lifecycle analytics across the network, especially as Braze comes online. A stronger measurement foundation for subscriptions, promotions and funnel experiments, with clear baselines and readouts What we’re looking for: Must-haves Experience with BI tools such as Looker, Tableau or similar platforms Proven experience building, maintaining and improving dashboards and reports that non-technical stakeholders actively use Deep digital analytics knowledge, with expert-level GA4 experience and a strong understanding of event-based measurement, attribution limitations and best-practice reporting Experience working with data warehouses and large datasets, such as BigQuery, Snowflake, Databricks or similar environments, and strong SQL. Strong email analytics capability, including lifecycle performance, cohort behaviour, engagement and downstream impact Experience partnering with product managers on experimentation, including test design, measurement plans and post-test analysis Strong communication skills - you can explain complex analysis simply and turn insight into action Comfort using AI tools and emerging technology to improve efficiency, analysis quality and insight accessibility Nice-to-have Braze experience, particularly reporting concepts and data exports Experience in media, content, subscriptions or audience-led digital businesses Exposure to data modelling and structured dataset design Experience with analytics implementation, including tracking plans, tag management and data layer design Why us? Be part of a high-growth scale-up as we change the way people invest Work with an awesome team with experience from some of the fastest-growing and most successful start-ups in Australia Work in a flexible environment that understands that people have busy lives outside of work The opportunity to interview some of Australia's best investors and learn more in 6 months than you would in 5 years elsewhere. There are perks too: Flexibility first - we all have rich and full lives outside of work that matters too Learning and training budget - keep learning and growing Team events - from trivia to escape rooms to runs - there's something for everyone Snacks, drinks (because that matters... right?!) If you are interested in this role, please send a resume. To make your application stand out, feel free to include a cover letter.

Responsibilities

The Data Analyst will design, build, and maintain company dashboards and reporting, establishing a single source of truth while providing bespoke analysis and insights to various business teams. This role also involves partnering with Product and Engineering to strengthen data tracking, instrumentation quality, and support experimentation design and measurement.