Sr. Data Analyst- Major Entertainment Company (NO H1B OR C2C)

TechLink Resources, Inc; New York (NY); Hybrid; USD 90,000 - 120,000; Full time

Job summary

A leading analytics firm is seeking a senior-level Data Analyst to join their Product & Technology Analytics team in New York. In this role, you'll partner with various teams to transform data into insights that drive business decisions. Responsibilities include designing experiments, building reports, and applying statistical techniques to analyze user behavior. The ideal candidate should have over 5 years of analytics experience, proficiency in SQL and data visualization tools, and strong communication skills. This position offers a hybrid or on-site work model.

Qualifications

• 5+ years of experience in data analytics or a related role.
• 3+ years of experience using SQL.
• Experience with Python, R, or similar statistical programming languages.

Responsibilities

• Design, analyze, and interpret experiments to evaluate product performance.
• Build and maintain reporting and visualizations for platform performance.
• Apply statistical techniques to analyze user behavior and drive optimization.

Skills

Data Analytics

SQL

Python

Data Visualization

Statistical Concepts

Communication Skills

Education

Bachelor’s degree in Computer Science, MIS, Statistics, or a related field

Tools

Tableau

Looker

Job description

We are seeking a senior-level Data Analyst to join our Product & Technology Analytics team. In this role, you will partner closely with product, personalization, and content teams to transform data into insights that inform key business decisions. You will help shape strategy by designing experiments, uncovering user behavior patterns, and identifying opportunities to improve product performance and content effectiveness.

This role is ideal for someone who thrives in ambiguity, enjoys solving complex problems, and can clearly communicate insights that drive action across technical and non-technical audiences.

What You’ll Do

Experimentation & Measurement

• Design, analyze, and interpret experiments (A/B tests and other methodologies) to evaluate product and feature performance
• Partner with stakeholders to ensure experiments are well-designed, statistically sound, and correctly interpreted

Business Performance & Reporting

• Build and maintain reporting and visualizations to help teams understand platform and content performance
• Investigate performance trends and variances to uncover actionable insights and recommendations

Deep-Dive Analysis

• Apply statistical techniques (e.g., regression, causal inference, hypothesis testing) to analyze user behavior
• Develop a deep understanding of how users interact with products and content to inform optimization strategies

Opportunity Identification & Sizing

• Support forecasting, goal setting, and opportunity sizing to help evaluate trade-offs and prioritize investments
• Quantify potential impact and help stakeholders make data-driven decisions

Cross-Functional Collaboration

• Work closely with product, engineering, personalization, and content partners to align analytics with business objectives
• Communicate insights clearly through presentations, dashboards, and written narratives

What We’re Looking For

Basic Qualifications

• 5+ years of experience in data analytics, product analytics, or a related role
• 3+ years of hands-on experience using SQL
• Experience with Python, R, or another statistical programming language
• Strong understanding of statistical concepts (confidence intervals, hypothesis testing, regression analysis)
• Experience with data visualization tools such as Tableau, Looker, Chartio, or similar
• Ability to think strategically and translate data into actionable business insights
• Strong written and verbal communication skills with experience presenting to diverse audiences
• High curiosity, strong analytical mindset, and a passion for data-driven decision making

Preferred Qualifications

• Experience supporting personalization or recommendation systems
• Experience analyzing content performance or merchandising strategies
• Familiarity with experimentation platforms and advanced analytics techniques
• Experience working in fast-paced, cross-functional product environments
• Master’s degree in Computer Science, MIS, Statistics, or a related field

Education

• Bachelor’s degree in Computer Science, MIS, Statistics, or a related field (or equivalent experience) required

Location

• New York City (hybrid or on-site, depending on team needs)