Data Analyst (AI & Data Platform)

2 hours, 46 minutes ago
Full-time
Mid Level
Data Science and Analytics
Everbridge

Everbridge

Everbridge provides a comprehensive software platform that automates and enhances organizations' responses to critical events, ensuring the safety of individuals and the continuity of business operations during emergencies such as natural disasters, cy...

Internet Software & Services
1K-5K
Founded 2002

Description

  • Analyze large and complex datasets to identify trends, anomalies, risks, and business opportunities.
  • Build, maintain, and improve dashboards, recurring reports, and self-service analytics solutions.
  • Write efficient SQL queries for reporting, ad hoc analysis, and data validation.
  • Partner with analytics engineering and data engineering teams to validate and consume curated datasets.
  • Assist in designing, testing, and validating data models used in reporting and analytics workflows.
  • Translate business questions into measurable KPIs, analytical frameworks, and reporting requirements.
  • Perform data quality checks, investigate reporting inconsistencies, and support root cause analysis.
  • Document business logic, metric definitions, data sources, reporting methodologies, and assumptions.
  • Support workforce analytics, headcount reporting, workforce movement analysis, forecasting, and operational reporting.
  • Collaborate with stakeholders across Finance, HR, Operations, Product, and business leadership.

Requirements

  • 2-5 years of experience in data analytics, business intelligence, reporting, or a related analytical role.
  • Strong proficiency in SQL for data extraction, transformation, analysis, and validation.
  • Experience with cloud data warehouses such as Snowflake, BigQuery, Redshift, or Azure Synapse.
  • Experience building dashboards and reports using BI tools such as Tableau, Power BI, Looker, or AWS QuickSight.
  • Strong understanding of relational databases, data modeling concepts, and analytical data structures.
  • Ability to work with large datasets, complex business logic, and multiple data sources.
  • Strong analytical, problem-solving, and critical-thinking skills.
  • High attention to detail and commitment to data accuracy.
  • Ability to manage ad hoc analysis requests while balancing recurring reporting priorities.
  • Strong communication skills and experience translating stakeholder requirements into reporting solutions.
  • Preferred experience supporting HR, workforce, finance, operations, or SaaS business analytics.
  • Preferred experience with dbt, ETL/ELT pipelines, data governance, APIs, SharePoint data sources, Python, Git, knowledge graphs, entity relationship modeling, semantic data structures, and AI-assisted analytics tools.

Interested in this position?

Apply directly on the company website

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