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Data Analyst Specialist

2 weeks ago


Auckland, Auckland, New Zealand Everbridge Full time

Everbridge is a leader in critical event management solutions. We are seeking a highly skilled Data Analyst Specialist to join our team.

About the Role

This role involves supporting data analysis tasks that require both ad-hoc and as-needed approaches to facilitate better business decisions based on data-driven insights. The initial scope of work will focus on AI/ML risk products, followed by SLG/Mobile (data gaps), and then larger P&L. You will need to work closely with stakeholders across multiple time zones, demonstrating flexibility and adaptability.

Key Responsibilities
  • Produce key metrics, dashboards, and reports to support product managers' requests for AI/ML initiatives and tech partnerships.
  • Presentation of data findings and insights to internal stakeholders, effectively 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 to ensure 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 using 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.
Requirements
  1. Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, or equivalent work experience.
  2. Proficiency in SQL for data querying and analysis.
  3. Familiarity with relational database concepts and data structures.
  4. Strong understanding of statistical fundamentals and measures.
  5. Knowledge of data warehousing principles and ETL processes.
  6. Experience with data visualization tools, preferably Tableau.
  7. Experience with data warehouse tools, preferably Snowflake.