Data Analyst
WFA Digital Insight
As the demand for data-driven decision making continues to grow, companies like Everbridge are seeking skilled Data Analysts to turn complex data into actionable insights. With the global data analytics market projected to reach $274 billion by 2026, professionals with strong analytical fundamentals and advanced SQL skills are in high demand. Everbridge's commitment to using data to drive business outcomes makes this role an exciting opportunity for those looking to make a real impact. Before applying, candidates should be prepared to showcase their ability to communicate complex data insights to both technical and non-technical audiences.
Job Description
About the Role
The Data Analyst role at Everbridge is a unique opportunity to work with complex business and operational data, driving insights that inform key business decisions. As a Data Analyst, you will be responsible for analyzing large datasets, identifying trends and anomalies, and developing reporting solutions that meet the needs of various stakeholders. You will work closely with cross-functional teams, including analytics engineers, data engineers, and business leaders, to build trusted reporting solutions and support data-driven decision making.The role is ideal for someone who is detail-oriented, curious, and comfortable working with evolving data workflows. You will have the opportunity to work with modern cloud analytics platforms, automation tools, and AI-assisted analytics to improve productivity, reporting quality, and operational efficiency.
What You Will Do
- 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 to support business 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
- Identify opportunities to automate manual reporting processes and improve analytics scalability
- Support automation initiatives that reduce repetitive work and improve reporting consistency
- Use AI-assisted tools where appropriate to support analysis, documentation, workflow development, and reporting efficiency
- Validate AI-assisted outputs using strong analytical judgment, business context, and data quality standards
What We Are Looking For
- 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 working 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, with the ability to explain data findings to technical and non-technical audiences
- Experience working with business stakeholders to gather requirements and translate them into reporting solutions
Nice to Have
- Experience in supporting HR, workforce, finance, operations, or SaaS business analytics
- Experience with modern data transformation tools such as dbt
- Familiarity with ETL/ELT pipelines and modern data stack architecture
- Certification in data analytics or a related field
Benefits and Perks
- Competitive salary and benefits package
- Opportunity to work with a leading company in the industry
- Collaborative and dynamic work environment
- Professional development and growth opportunities
- Flexible working hours and remote work options
- Access to cutting-edge tools and technologies
- Recognition and reward for outstanding performance
How to Stand Out
- Be prepared to provide specific examples of your experience working with complex data sets and analytics tools.
- Showcase your ability to communicate complex data insights to non-technical audiences.
- Highlight your experience with cloud data warehouses and BI tools.
- Emphasize your strong analytical and problem-solving skills.
- Be prepared to discuss your experience with data quality checks and root cause analysis.
- Consider creating a portfolio of your work to demonstrate your skills and experience.
- Research the company and be prepared to ask informed questions during the interview process.
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