Staff Analyst

Optimum

$123K — $202K *
Business Services
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in a quantitative field (Statistics, Economics, Data Science, Engineering)
  • 5-7+ years of experience in analytics, insights, or data science roles, preferably in the telecommunications or subscription-based industry
  • Proficiency in SQL and Google Big Query; experience with automation tools is a plus
  • Experience with programming languages like Python or R and familiarity with statistical packages
  • Advanced Excel skills for large data set mining
  • Strong understanding of statistical inference and analytic bias
  • Experience with Business Intelligence tools like Tableau

Responsibilities

  • Partner with stakeholders to define analytical frameworks and data requirements
  • Conduct deep-dive analyses on call drivers and develop root-cause analyses of customer experience (CX) pain points
  • Analyze customer journeys across interaction channels to identify improvement opportunities
  • Support A/B testing, segmentation analysis, and evaluate campaign performance
  • Present data insights clearly to executive leadership for informed decision-making

Benefits

  • Collaborative team environment with opportunities for strategic impact
  • Access to advanced data analytics tools and technologies
  • Career growth opportunities within a transformation-focused organization
  • Engagement with executive leadership and influence over customer experience initiatives
Full Job Description
Job Summary

Join Optimum and partner with Retention and Care Operations to transform our customer experience and help craft the next chapter of Operational Excellence. As a Staff Analyst reporting to the Director, Customer Experience Analytics, this role is pivotal in refining our approach to improve operational efficiency and reducing churn. You'll conduct robust analytics, develop insights and develop presentation and communication materials to share the findings with stakeholders.

Responsibilities

  • Partner with business stakeholders to clearly understand key questions and develop framework to answer the questions. This will include determining data requirements, pulling the data and analyzing large datasets to develop insights that answer key questions.
  • Perform deep-dive analysis on call drivers using transcripts and other tools to identify opportunities. Develop root-cause analysis on CX pain points (e.g., billing disputes, network outages, service installation delays) and quantify their revenue/churn impact.
  • Analyze customer journeys across all interaction channels to identify patterns, friction points, and improvement opportunities.
  • Support A/B testing, segmentation analysis, and campaign/journey performance evaluations.
  • Present complex data and insights in a clear, concise manner to executive leadership, aiding in data-driven decision-making.


Qualifications

  • Bachelor's degree in a quantitative field (Statistics, Economics, Data Science, Engineering)
  • 5-7+ years of experience in analytics, insights, or data science roles. Experience in operational analytics, customer experience or a related field; telecommunications/mobile or subscription-based industry preferred
  • Proficiency in SQL, Google Big Query, and other analytical tools; experience with automation tools and techniques is highly desirable.
  • Experience with a scripting language, such as Python or R and familiarity with statistical packages
  • Advanced Excel skills with experience mining large data sets
  • Solid understanding of statistical inference, experimental design, and analytic bias
  • Experience with Business Intelligence reporting tools (e.g., Tableau)
  • Experience supporting product or business reviews such as Monthly or Quarterly Business Reviews and leadership meetings with visual or analytical support
  • Ability to work independently and collaboratively in a dynamic team environment
  • Strong strategic thinking and problem-solving skills, with the ability to manage multiple projects simultaneously
  • Strong analytical and interpretive skills with a curiosity for understanding customer behavior and solution-oriented mindset able to ideate, own, and manage innovative solutions that can be leveraged by stakeholders
  • Ability to communicate efficiently with the ability to convey complex information to non-technical stakeholders
  • Strong organizational and project management skills; capability to document, prepare, and present data-driven presentations

Pay is competitive and based on a number of job-related factors, including skills and experience. The starting pay rate/range at time of hire for this position in the posted location is $123,379.00 - $202,694.00 / year. The rate/range provided herein is the anticipated pay at the time of hire and does not reflect future job opportunity.

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