Who we are
🌍 Ready to join the ultimate decision-making dream team? Hop aboard the Rocketship!
At Finder, we’re all about helping people find better deals. Whether it’s to save money, make money, or snag sweet rewards, we’re here to make sure people are getting the best possible deal. But that’s not all – we’re also on a mission to inject some excitement into the daily grind!
With offices in Sydney, Toronto, New York, London, and Wroclaw, we’ve built a dynamic community of over 290 curious minds. But we’re not your typical corporate clan. Diverse thinkers united by our core purpose to make money easy, we have a shared passion for turning the norm on its head.
If you’re itching to shake things up, develop your expertise, and be part of a crew that values creativity, drive, and a good dose of quirkiness, then you might just be the missing piece to our puzzle. So why wait? Join us and let’s navigate this wild world of decisions together! 🚀🌟
Role Overview
As a Data Analyst at Finder, you will partner with stakeholders to build scalable infrastructure, datasets and dashboards for the comparison business. This will support data-driven decisions and insights that translate directly to accelerate business growth and product improvement.
Main Responsibilities
- Work closely with the product, engineering, client services and publishing teams to support their decision making process with facts, insights and recommendations.
- Gather the requirements and determine the best course of action for analysis.
- Define a robust set of datasets and dashboards to support key business processes, e.g., forecasting, quarterly business planning etc.
- Use the data to identify insights to inform hypotheses and test ideas.
- Plan, and prioritise insights that drive Finder targets.
- Analyse and evaluate A/B tests, report on results and recommend next steps.
- Build and maintain self-serve dashboards for internal and external stakeholders.
- Train crew with dashboards / self serve analytics when needed.
- Support company growth by discovering, analysing and communicating the critical user behavioural data.
Essential Requirements
- List the must-have skills, experience, or qualifications.
- Experience working with large-scale data sets.
- Experience of data analysis, cleaning or visualisation (for example using SQL, Python, spreadsheets or other technologies).
- Experience in data modelling.
- Experience with Enterprise Digital Analytics such as Snowplow, GA4.
- Experience with modern data warehousing solutions (we use BigQuery).
- Admirable team player qualities, including being collaborative, respectful, and service focused.
- A willingness to learn and apply innovative data analytics methodologies.
- A genuine passion for data and drive to communicate using data.
- Demonstrated analytical problem-solving skills and expertise.
Preferred
- Familiarity with dbt
- Familiarity with GitHub
- Solid grasp of applied statistics
- Deep understanding of building and maintaining data pipelines and assets, through robust change control.
- Ability to work in an unstructured environment, navigate ambiguity, and bring clarity and structure as you go.
- Ability to create and foster strong cross-functional networks and manage without authority.
- Excellent presentation and communication skills.
Application process
If this sounds like the kind of opportunity you’ve been looking for, please fill out the form to submit your cover letter and resume. Use your cover letter to introduce us to you; we want to know who you are, what you’ve worked on and why you think you’d be a great addition to the Finder team.
Inclusion
To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us. We will treat your request as confidentially as possible. In your email, please include your name and preferred method of contact, and we will respond as soon as possible. Email talent@finder.com with any questions or feedback.