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Junior Data Analyst

AT Everbridge
Everbridge

Junior Data Analyst

Auckland, New Zealand
About the Role: 
Support data analysis tasks that are both ad-hoc /as-needed to support better data-driven business and product decisions
Scope is initially around  AI/ML risk products, then for SLG/Mobile (data gaps) then larger P&L
Must work closely with stakeholders across multiple time zones (need person to be flexible)

What you'll do:

  • Produce key metrics, dashboards, and reports to support  PM asks (AI/ML initiatives, tech partnerships etc.)
  • Present data findings and insights to internal stakeholders, translating complex data into actionable recommendations.
  • Develop and maintain interactive dashboards for real-time analytics and reporting.
  • Collaborate with cross-functional teams in UK, NZ, India and US time zones, ensuring timely updates and support for all teams.
  • Write, optimize, and troubleshoot SQL queries to access, manage, and analyze data within Snowflake or other relational databases.
  • Assist in machine learning projects by preparing data and evaluating models, applying metrics like precision, recall, and accuracy.
  • Build and maintain a comprehensive data dictionary to standardize and improve data usage across the organization.
  • Support data quality initiatives by troubleshooting and validating data integrity in reports and dashboards.

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What you'll bring:

  • Education: Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field, or equivalent work experience.
  • Some Proficiency in SQL for data querying and analysis.
  • Familiarity with relational database concepts and data structures.
  • Strong understanding of statistical fundamentals and measures.
  • Knowledge of data warehousing principles and ETL processes.
  • Experience with data visualization tools, preferably Tableau.
  • Experience with data warehouse tools, preferably Snowflake.

Preferred Qualifications:

  • Basic knowledge of Python for data manipulation and automation 
  • Prior exposure to machine learning workflows or data preparation for modeling.
  • Foundational knowledge of machine learning concepts and metrics, such as precision, recall, and accuracy
  • Ability to communicate effectively with technical and non-technical team members.
  • Flexibility to work across multiple time zones (UK, US, India, NZ).

Client-provided location(s): Auckland, New Zealand
Job ID: ff6203c8-c304-4822-9b33-41841887811c
Employment Type: Other

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • FSA
    • HSA
    • Fitness Subsidies
    • On-Site Gym
    • Mental Health Benefits
    • HSA With Employer Contribution
  • Parental Benefits

    • Adoption Assistance Program
    • Family Support Resources
  • Work Flexibility

    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Casual Dress
    • Happy Hours
    • Snacks
    • Some Meals Provided
    • Company Outings
    • On-Site Cafeteria
    • Holiday Events
  • Vacation and Time Off

    • Paid Vacation
    • Unlimited Paid Time Off
    • Paid Holidays
    • Personal/Sick Days
    • Volunteer Time Off
  • Financial and Retirement

    • 401(K)
    • 401(K) With Company Matching
    • Stock Purchase Program
    • Performance Bonus
    • Financial Counseling
  • Professional Development

    • Tuition Reimbursement
    • Promote From Within
    • Mentor Program
    • Access to Online Courses
    • Lunch and Learns
    • Leadership Training Program
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program
    • Employee Resource Groups (ERG)