Senior Data Analyst

Spectrum; Stamford (CT); Híbrido; USD 110.000 - 140.000; Jornada completa

Descripción de la vacante

Spectrum is seeking a Senior Data Analyst to transform data into insights that guide strategic decisions and resource optimization across departments. You’ll forecast, report, and identify trends to support management decisions, with an emphasis on AI-enabled techniques and cross-functional collaboration.

The role operates in a hybrid office environment, with opportunities to work from home up to one day per week.

Formación

• Bachelor’s degree in business or related field or equivalent experience.
• 5+ years of data analysis and reporting experience.

Responsabilidades

• Perform advanced exploratory and root-cause analysis across customer interaction, operational and transactional data to identify drivers, trends and opportunities.
• Apply NLP/LLMs and AI techniques to accelerate insight generation from customer interactions.
• Deliver actionable insights and executive-ready recommendations with quantified impact.
• Validate outputs with data quality checks and business validation.
• Document analytical methodologies, definitions and data sources for repeatability.
• Integrate data from multiple sources to generate comprehensive reports.

Conocimientos

Advanced SQL

NLP/LLMs

Data visualization

Data storytelling

Executive communication

Independent/team work

Educación

Bachelor’s degree in business or related field

Herramientas

Power BI

Tableau

Excel

Descripción del empleo

This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future.

Do you thrive on transforming data into actionable insights that drive strategic decisions? As a Senior Data Analyst at Spectrum, you’ll play a key role in shaping resource optimization across multiple departments by delivering impactful forecasts and reports. Your expertise will empower management to identify trends and opportunities, making a measurable difference in Spectrum’s operational success.

This position is in an office environment with a hybrid work schedule. Eligible employees can work from home up to one day each week.

How You’ll Make an Impact

• Perform advanced exploratory and root-cause analysis across customer interaction, operational and transactional data to identify key drivers, trends and improvement opportunities.

• Leverage AI/NLP-enabled analytical techniques, including text classification, clustering, semantic analysis and large language models (LLMs), to accelerate insight generation from customer interactions.

• Deliver actionable insights and executive-ready recommendations that clearly articulate the magnitude of the opportunity and recommended actions.

• Validate analytical and AI-generated outputs through data quality checks, sample reviews and business validation to ensure accuracy and reliability.

• Develop and maintain documentation for analytical methodologies, business definitions, taxonomies, data sources and quality standards to ensure repeatability and continuity.

• Integrate data from multiple sources to generate comprehensive reporting elements.

What You’ll Bring to Spectrum

• Manage multiple projects, prioritize and organize tasks effectively while meeting deadlines and adapting to shifting priorities

• Capability to work independently and within a team

• Advanced SQL skills with experience querying, integrating and analyzing large datasets from multiple sources

• Familiarity with natural language processing (NLP), large language models (LLMs), text classification, clustering or other AI-assisted analytical techniques

• Experience with data visualization and business intelligence tools

• Strong data storytelling and executive communication skills, with the ability to simplify complex analytical findings for business audience

• Knowledge of Word, Excel and similar software applications

Required Qualifications

Education

• Bachelor’s degree in business or related field or equivalent experience

Experience

• 5+ years of data analysis and reporting or related experience

Skills

• Manage multiple projects, prioritize and organize tasks effectively while meeting deadlines and adapting to shifting priorities
• Capability to work independently and within a team
• Advanced SQL skills with experience querying, integrating and analyzing large datasets from multiple sources
• Familiarity with natural language processing (NLP), large language models (LLMs), text classification, clustering or other AI-assisted analytical techniques
• Experience with data visualization and business intelligence tools
• Strong data storytelling and executive communication skills, with the ability to simplify complex analytical findings for business audience
• Knowledge of Word, Excel and similar software applications

Here, our employees don’t just have jobs, they're building careers. That’s why we offer a comprehensive pay and benefits package that rewards employees for their contributions to our success, supporting all aspects of their well-being at every stage of life.

A qualified applicant’s criminal history, if any, will be considered in a manner consistent with applicable laws, including local ordinances.

Get to Know Us

Charter Communications provides superior communication and entertainment products for residential and business customers through the Spectrum brand. Our offerings include Spectrum Internet®, TV, Mobile and Voice. Beyond our connectivity solutions, we also provide local news, programming and regional sports via Spectrum Networks and multiscreen advertising solutions via Spectrum Reach. When you join our team, you’ll be keeping our customers connected to what matters most in 41 states across the U.S. Watch this video to learn more.

Grow Your Career Here

We’re committed to growing a workforce that reflects the customers and communities we serve – providing opportunities for employment and advancement to all team members. Spectrum is an Equal Opportunity Employer, including job seekers with disabilities and veterans. Learn about Life at Spectrum.