Data Analyst
@ Finder

Hybrid
$100,000
Hybrid
Full Time
Posted 22 days ago

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XXXXXXXXXX XXXXXXXXXXX XXXXXXXXXX******* @finder.com
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Job Details

About Finder

Finder helps people find better deals, save money, earn rewards and make decisions easier. With offices across Sydney, Toronto, New York, London, and Wroclaw, the team is dynamic and diverse.

Role Overview

The Data Analyst at Finder will supercharge data capabilities by designing, deploying, and improving analytics solutions to support product teams. This role is focused on deriving actionable insights from large data sets to drive product and process optimizations.

Responsibilities

  • Partner with stakeholders to build scalable data infrastructure.
  • Create robust datasets and dashboards for key business processes.
  • Analyze A/B tests, forecast, and plan for business improvement.
  • Maintain self-serve dashboards and train teams on analytics use.
  • Communicate critical user behavioral data to support growth.

Essential Requirements

  • Experience with large-scale data sets and data cleaning.
  • Proficiency in SQL, Python, spreadsheets, or related tools.
  • Experience in data modelling and using digital analytics (Snowplow, GA4).
  • Familiarity with modern data warehousing solutions (BigQuery).
  • Collaborative team player with strong analytical skills.

Preferred Skills

  • Familiarity with dbt and GitHub.
  • Solid grounding in applied statistics and data pipelines.
  • Ability to work in unstructured environments and manage ambiguity.
  • Strong presentation and communication skills.

Application Process & Inclusion

Interested candidates should click the 'Apply Now' button and submit a cover letter along with a resume. Please email talent@finder.com for any questions or special interview accommodations. Finder is an equal opportunity employer that values diversity.

Key skills/competency

Data Analysis, SQL, Python, BigQuery, Data Modelling, Dashboarding, A/B Testing, Analytics, Digital Analytics, Data Visualization

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How to Get Hired at Finder

🎯 Tips for Getting Hired

  • Research Finder's culture: Review their mission and global presence.
  • Tailor your resume: Emphasize analytics and dashboard skills.
  • Highlight technical abilities: Detail SQL, Python, and BigQuery experience.
  • Prepare for analysis tests: Practice A/B testing and data modeling questions.

📝 Interview Preparation Advice

Technical Preparation

Review SQL query optimization techniques.
Practice Python data processing libraries.
Study BigQuery and data warehousing fundamentals.
Brush up on A/B testing methodologies.

Behavioral Questions

Describe a challenging data project.
Explain teamwork in data solution delivery.
Discuss handling stakeholder conflicts.
Share an example of delivering data insights.

Frequently Asked Questions