Junior Data Analyst

Job title: Junior Data Analyst

Company: Everbridge


Job description: About the Role:Support data analysis tasks that are both ad-hoc /as-needed to support better data-driven business and product decisionsScope is initially around AI/ML risk products, then for SLG/Mobile (data gaps) then larger P&LMust 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.

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).

Expected salary:

Location: Auckland

Job date: Wed, 12 Feb 2025 04:37:10 GMT

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