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Data Analyst

Peroptyx

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Original Job Summary

Overview

At Peroptyx, the Data Analyst role involves reviewing mapping data for digital navigation tools. You will validate map routes, verify business details, and ensure accuracy for a better user experience.

Responsibilities

  • Review and validate mapping data.
  • Verify correct business names and operating hours.
  • Confirm accurate distances and routes.
  • Follow multiple sets of instructions independently.

Work Schedule & Benefits

This role offers a flexible work schedule, allowing you to choose your own working hours. You can work up to 20 hours per week from the comfort of your home office.

  • Work up to 20 hours per week.
  • Competitive rate of pay.
  • Develop research and analytical skills.
  • No commute required.

Ideal Candidate

  • Fluent in English with excellent research skills.
  • Strong local knowledge of Canada, including geography and culture.
  • Ability to pass an online open-book exam.
  • Familiarity with search engines, map applications, and social media platforms.

Requirements

  • Must have lived in Canada for at least 5 consecutive years.
  • Available to work a minimum of 10 hours and up to 20 hours per week.
  • Strong analytical mindset with capacity to learn and apply instructions.

Key skills/competency

  • Mapping
  • Data Analysis
  • Research
  • Validation
  • Analytical
  • Attention to Detail
  • Geography
  • Digital Mapping
  • Flexibility
  • Independent Work

How to Get Hired at Peroptyx

🎯 Tips for Getting Hired

  • Research Peroptyx's culture: Understand their mission and digital mapping focus.
  • Customize your resume: Highlight analytical and research skills.
  • Review mapping tools: Familiarize with map applications and search engines.
  • Prepare for online exam: Study navigation data and validation concepts.

📝 Interview Preparation Advice

Technical Preparation

Review mapping software tools.
Study digital mapping data structures.
Practice data validation exercises.
Familiarize with search engine algorithms.

Behavioral Questions

Describe handling independent work challenges.
Explain time management in flexible setups.
Share experience learning new systems.
Discuss attention to detail in projects.