Senior Data Analyst – Enterprise Data & Analytics

Reports To: Chief Data Officer

Position Summary

The Senior Data Analyst will serve as the bridge between business stakeholders and the Enterprise Data team. This individual will transform data into actionable insights define business metrics ensure data quality and help expand companys AI-ready data platform. They will work closely with Finance Sales Operations Product Customer Success and Engineering to deliver trusted analytics semantic models dashboards and data products.

Key Responsibilities

Business Intelligence & Analytics

• Develop and maintain executive dashboards reports and scorecards using Tableau and Snowflake.
• Partner with Finance Sales Operations Product and Customer Success to translate business requirements into analytical solutions.
• Perform ad hoc analysis to identify trends business opportunities and operational improvements.
• Define calculate and maintain standardized KPIs and business metrics across the organization.
• Present analytical findings and recommendations to business stakeholders and executive leadership.

Data Engineering & Data Integration

• Develop and maintain SQL-based data transformation logic views and stored procedures within Snowflake.
• Support the design testing and maintenance of ETL/ELT data pipelines from source systems such as PostgreSQL SQL Server Salesforce APIs and Amazon S3.
• Validate data ingestion processes to ensure completeness consistency and accuracy across enterprise data platforms.
• Troubleshoot data pipeline issues perform root cause analysis and work with Data Engineers to resolve production incidents.
• Assist in optimizing SQL queries data models and reporting structures for scalability and performance.
• Participate in deploying data enhancements through Development QA Stage and Production environments while following SDLC and change management processes.
• Contribute to data modeling initiatives including dimensional models and curated reporting datasets.

Data Quality & Governance

• Monitor and improve enterprise data quality by identifying anomalies inconsistencies and reconciliation issues.
• Develop data validation processes and reconciliation reports between source systems and Snowflake.
• Maintain business definitions data dictionaries metadata and documentation for enterprise reporting assets.
• Collaborate with business and engineering teams to define data standards governance policies and reporting consistency.

AI & Advanced Analytics

• Support the development and maintenance of semantic models used by Snowflake AI and enterprise data agents.
• Validate AI-generated responses and improve metadata synonyms and business definitions to enhance accuracy.
• Assist in evaluating emerging AI capabilities that improve analytics reporting and business decision-making.

Collaboration & Continuous Improvement

• Work closely with Data Engineers Software Engineers Product Managers and business stakeholders to deliver enterprise data solutions.
• Participate in requirements gathering solution design testing and user acceptance activities.
• Identify opportunities to automate manual reporting processes and improve operational efficiency.
• Promote best practices in analytics data engineering documentation and data governance.

Preferred Qualifications

• Bachelors degree in Computer Science Information Systems Data Analytics Business Analytics or a related field.
• 4 7 years of experience in data analytics business intelligence or analytics engineering.
• Advanced SQL with experience writing complex queries views stored procedures and performance tuning.
• Experience with Snowflake or another cloud data warehouse.
• Experience with Tableau or a comparable BI platform.
• Working knowledge of ETL/ELT concepts and modern data architectures.
• Familiarity with AWS services such as S3 Glue or Lambda is preferred.
• Experience working with APIs and semi-structured data (JSON XML Parquet).
• Basic Python scripting for data analysis or automation is a plus.
• Experience with Git SDLC processes and Agile methodologies.
• Excellent analytical problem-solving communication and stakeholder management skills.

This job description reflects someone who can not only build dashboards but also understand how data is ingested transformed governed and consumed-making them an effective bridge between business users and your data engineering team while supporting your Snowflake-based data platform.