Data Analyst- Digital Experience

6 days ago

Melbourne, Australia Catch Of The Day Full time

**Job no**: B83DY

**This is a Permanent / Fixed Term Full-time role.**

**Catch supports Hybrid working - which means a mix of working remote and in our 699 Collins Street Head office**

**Who is Catch?**

We’re wonderfully different at Catch. We see what’s been done before, and then do it our way. We’re at that brilliant, exciting time where the company is big enough to offer real opportunities, but small enough that you can make an actual impact.

We’re smack bang in the middle of our growth and build phase. Think of us like that gangly teenager growing into their long arms and legs. There's still a lot of work ahead of us, so we’re always on the lookout for creative, resourceful, and resilient people that can quickly learn new skills and adapt on the fly.

Sounds challenging right? It can be But it’s also where you get to be the one that solves that ‘BIG’ problem, writes that new playbook and it’s where you can feel a real sense of achievement when you deliver something amazing.

If that sounds like something you want to be involved in, then join us as we move forward with pure grit, passion and determination, and be part of a team that solves real customer problems in ways that no-one else can.

You ready? Let’s do this

**What you’ll be doing**

Reporting to the Analytics Lead, this Data Analyst role is primarily responsible for the delivery of data analysis and reporting services for the Digital Experience & Product Team. This involves aligning analytics solutions with business needs and includes stakeholder engagement, requirements gathering, prioritization, dashboard design and development, conducting deep dive analyses and completing ad-hoc data requests, so that the business can make informed and evidence-based decisions.
- ** **Work closely with the relevant business stakeholders to identify reporting and analysis needs to support decision making within the Digital Product domain
- Intercept business ideas/questions/concerns, translate them into hypotheses, identify the required data points for hypothesis testing, retrieve required data from the database, conduct the analysis and circulate the findings and recommendations back to the business
- Ask probing questions to ensure the business problem and the analysis requirements are clearly defined
- Develop, update, and automate Tableau dashboards, whilst ensuring data quality, data integrity and data accuracy are upheld
- Act as a key partner to the Digital Product team by assisting them to define KPIs for key business growth initiatives, monitoring them, and deriving direct, meaningful actions from insights.
- Undertake data preparation, cleansing, analysis design and visualisation and communicate key findings to relevant stakeholders.
- Identify and improve potential areas of report inefficiencies by optimising queries, designing data marts, and curating reports in our data catalogue.
- Coordinate and support end to end A/B testing and measurement for the eCommerce and shopping experience teams
- Identify key areas of improvement and levers that can be pulled to help shift key business metrics
- Collaborate and work closely with Data Engineers, Data Analysts, BI Developers and Data Scientists to ensure data integrity, scalability, and advanced metrics design
- Convey clear requirements to the rest of the data and analytics team and work closely with them to design and develop any data products required for analytical work e.g. write queries to build data marts that would streamline reporting
- Act as a key engagement point for Digital Product related data requests, including new data, existing data and derived data requests

**What you’ll bring to the table?**
- Tertiary qualified in relevant discipline (Statistics, Data Science, Mathematics, Computer Science).
- Previous experience in a similar role within Digital Experience & Product. This includes having experience in scoping, developing and delivering Digital Product related BI solutions and actionable insights
- Proven experience in using analytics to generate insights and make recommendations to improve and optimise business processes and solve business problems
- Experience with A/B testing and hypothesis testing
- Highly proficient with SQL with the ability to write complex queries
- Advanced in BI visualisation tools such as Tableau
- Demonstrated stakeholder management and communication skills to translate analytical solution outcomes in the context of business impacts and benefits to a non-technical audience
- Ability to proactively innovate with data to identify opportunities and drive recommendations
- Self-starter attitude with the ability to work in a dynamic and fast-paced environment
- Can work both independently and collaboratively
- Ability to work on multiple tasks simultaneously and prioritise work as appropriate
- Statistical programming language like Python or R is a plus
- Experience with online analytics tools, Adobe or Google Analytics, is des

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