Lead Data Insights Analyst, AI Engineering

Do you excel at working cross-functionally to achieve common goals? Would you describe yourself as collaborative, analytical, strategic, and data-driven? If so, you could find a home on the Operational Analytics & Insight (OAI) team at Spectrum.

At Spectrum, we keep more than 32 million customers connected across our 41-state footprint. Our Operational Analytics & Insight team provides the measurement, insights and recommendations that inform our digital strategies. By helping answer critical questions about the customer experience, sales, and operations, this team plays a vital role in delivering the exceptional services and experiences Spectrum is known for.

This posting has been extended beyond the initial anticipated closing date.

BE PART OF THE CONNECTION

As a Lead Data Analyst, AI Engineering on the Operational Analytics & Insights team, you'll work in a fast-paced, collaborative environment to develop data-driven solutions to Spectrum's business problems. You'll have the unique opportunity to leverage and work with cutting-edge AI technologies, including real-time transcriptions and other advanced AI applications. You'll be empowered to think of new approaches, use analytical, statistical, and programming skills to analyze and interpret data sets, and apply your AI expertise at scale. This role offers an excellent opportunity to lead projects, drive innovative solutions, and further advance your skills and career with Spectrum, all while making a significant impact on our operations and customer experiences.

WHAT OUR LEAD DATA INSIGHTS ANALYSTS ENJOY MOST

• Providing metrics definition, data visualizations, and Extract, Transform, and Load (ETL) requirements
• Extracting, cleaning, and engineering data for analysis
• Interpreting data, formulating hypotheses, and developing an analytical approach to meet business requirements
• Using advanced visualization tools like Tableau, PowerBI, Streamlit, and Excel, to create reports for customers
• Obtaining new reference data sources required to deliver on business needs
• Using data visualization and presentations to communicate results and make recommendations
• Creating analyses and dashboards that are usable, elegant, and industry-leading

If you enjoy demonstrating your ability to analyze, interpret, and present data in-depth, this could be the role for you. You'll continually expand your knowledge and expertise while growing your career with Spectrum.

WHAT YOU'LL BRING TO SPECTRUM

Required Qualifications

• Experience:
  
  • Working within a data platform/data analysis environment - 7+ Years; Customer facing products/services environment - 7+ Years
• Education:
  
  • Bachelor's degree in computer science, engineering or related field, or equivalent experience
• Technical skills:
  
  • Mastery of advanced analytics processes and reporting design principles
  • Mastery in Python and SQL
  • Proficient in documenting business and technical requirements for various projects
  • Expertise in data extracting, transforming, and loading (ETL)
  • Hands-on experience in designing and developing AI solutions using Microsoft Azure ML, Databricks, AWS, Redshift, and Fabric
  • Proficient in integrating and working with APIs
  • Expertise in data visualization, dashboarding, and reporting tools such as Power BI, Tableau, Streamlit, and Databricks
  • Strong understanding of Machine Learning concepts including supervised and unsupervised learning, model training, evaluation, and deployment
  • Hands-on experience with Large Language Models (LLMs) (finetuning, retraining, and prompt engineering)
• Abilities:
  
  • Analyze and interpret data
  • Make decisions and solve problems while working under pressure
  • Mastery of advanced design and implementation practices within data visualization tools
  • Effective written and verbal communication skills

Preferred Qualifications

• Experience:
  
  • AI frameworks and libraries such as TensorFlow, PyTorch, or Transformers for building and deploying models
  • Working with text data including Natural Language Processing (NLP) techniques such as tokenization, lemmatization, sentiment analysis, text classification, topic modeling, and entity recognition
• Abilities:
  
  • Explain complex AI concepts to non-technical audience

This position is not eligible for immigration sponsorship.

SPECTRUM CONNECTS YOU TO MORE

• Dynamic Growth: The growth of our industry and evolving technology powers our employees' careers as they move up or around the company
• Learning Culture: We invest in your learning, and provide paid training and coaching to help you succeed
• Supportive Teams: Be part of a strong community that gives you opportunities to network and grow, and wants to see you succeed
• Total Rewards: See all the ways we invest in you-at work and in life

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