Senior Data Analyst

DataAnalystJobs; New York (NY); Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

Competitive base salary with bonus

Health, vision, and dental insurance

Hybrid/remote options and PTO

Job summary

DataAnalystJobs is seeking a Senior Data Analyst to transform complex datasets into actionable business insights. You will lead end-to-end data projects—from data extraction and modeling to building executive dashboards and delivering strategic recommendations.

You will partner with Product, Marketing, Operations, and Finance to inform decisions, optimize processes, and drive growth, with a hybrid/remote work setup in New York.

Qualifications

• 5+ years of experience in data analytics, BI, or data engineering.
• Advanced SQL knowledge with complex joins, CTEs and window functions.
• Proficiency with data visualization tools (Tableau/Power BI/Looker).
• Python or R for data analysis and scripting.
• Strong understanding of statistics, experimentation, and data modeling.

Responsibilities

• Advanced Analytics & Insights: design, build, and maintain SQL queries, models, and data pipelines.
• Dashboarding & Reporting: create and manage dashboards and reports to track KPIs.
• Cross-Functional Collaboration: define data requirements with stakeholders and translate questions into specs.
• A/B Testing & Experimentation: design and evaluate experiments for product, marketing, and ops.
• Data Quality & Governance: ensure data integrity and mentor juniors in modeling & analysis.

Tools

Tableau

Power BI

Looker

Snowflake

BigQuery

Redshift

Job description

Job Overview

We are seeking an analytical, detail-oriented Senior Data Analyst to transform complex datasets into actionable business insights. In this role, you will lead end-to-end data projects—from data extraction and modeling to building executive dashboards and delivering strategic recommendations. You will work closely with cross-functional leadership (Product, Marketing, Operations, and Finance) to inform decision-making, optimize business processes, and drive overall growth.

Responsibilities

• Advanced Analytics & Insights: Design, build, and maintain complex SQL queries, statistical models, and data pipelines to analyze business performance and identify key trends.
• Dashboarding & Reporting: Create and manage intuitive, scalable dashboards and reports using BI tools (e.g., Tableau, Power BI, Looker) to track core business KPIs.
• Cross-Functional Collaboration: Partner with cross-functional stakeholders to define data requirements, scope analytical projects, and translate business questions into actionable technical specifications.
• A/B Testing & Experimentation: Design, execute, and analyze A/B tests and experimentation frameworks to evaluate product features, marketing campaigns, and operational changes.
• Data Quality & Governance: Establish data governance best practices, ensure data integrity across primary systems, and mentor junior analysts on data modeling and analysis techniques.

Skills & Qualifications

• 5+ years of experience in data analytics, business intelligence, or data engineering roles.
• Advanced expertise in SQL (query optimization, complex joins, CTEs, window functions).
• Strong proficiency with data visualization tools (e.g., Tableau, Power BI, Looker).
• Hands-on experience with scripting languages for data analysis (Python or R) and working with data warehouses (e.g., Snowflake, BigQuery, Redshift).
• Solid understanding of statistical concepts, experimentation methodology, and data modeling principles.
• Strong communication skills with the ability to explain technical insights to non-technical stakeholders.

Benefits

• Competitive base salary with performance bonus structure.
• Comprehensive health, vision, and dental insurance package.
• Flexible work arrangements (hybrid/remote options) and generous PTO.
• Professional development stipend for certifications, courses, and conferences.