Data Analyst, AI & Data Platform

Everbridge

Data Analyst transforming complex business data into actionable insights at Everbridge. Collaborating with stakeholders to improve data-driven decision making and reporting standards.

Posted 5/19/2026full-timeRemote • 🇮🇳 IndiaJuniorMid-LevelWebsite

Tech Stack

Tools & technologies

Amazon RedshiftAWSAzureBigQueryCloudSQLTableau

About the role

Key responsibilities & impact

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.
Contribute to the continuous improvement of reporting standards, analytics processes, and data governance practices.

Requirements

What you’ll need

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.
Ability to document assumptions, methodologies, business rules, and reporting logic clearly.

Benefits

Comp & perks

Health insurance
Retirement plans
Paid time off
Flexible work arrangements
Professional development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQLdata analyticsbusiness intelligencedata modelingdata validationdata extractiondata transformationreportingKPI developmentdata quality checks

Soft Skills

analytical skillsproblem-solvingcritical thinkingattention to detailcommunication skillscollaborationdocumentationstakeholder managementtime managementadaptability