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Experienced Full Stack Data Analyst – Virtual and Contact Channel Optimization

100% Remote Full-time Open now

At arenaflex, we're on a mission to revolutionize the way we understand and interact with our guests. As a key player in our Consumer Insight, Measurement & Analytics team, you'll have the opportunity to make a real impact on our business outcomes and guest experiences. We're looking for a talented and ambitious data analyst to join our Digital and Travel Operations Analytics group, where you'll be responsible for driving business decisions with actionable data insights.

About arenaflex

arenaflex is a global leader in the entertainment industry, with a rich history of innovation and creativity. Our Consumer Insight, Measurement & Analytics team is a critical component of our business, providing actionable data insights to inform our decision-making and drive business outcomes. We're passionate about using data to tell stories and drive results, and we're looking for like-minded individuals to join our team.

About the Role

As a Full Stack Data Analyst, you'll be responsible for analyzing and interpreting complex data sets to inform business decisions. You'll work closely with our operations and leadership teams to identify areas for improvement and develop data-driven solutions to drive business outcomes. Your expertise will be critical in helping us optimize our virtual and contact channels to deliver exceptional guest experiences.

Key Responsibilities

* Conduct forecasting, ad-hoc modeling, and deep-dive analysis to inform business decisions

  • Analyze agent performance, proactively identify areas for improvement, and develop data-driven solutions to drive business outcomes
  • Build and maintain reports and dashboards to inform business decisions and drive results
  • Present and communicate findings, insights, and recommendations to senior leadership and stakeholders
  • Collaborate with cross-functional teams to develop and implement data-driven solutions to drive business outcomes
  • Stay up-to-date with the latest data science trends and technologies, and share knowledge and best practices with the team

Required Qualifications & Skills

* 2+ years of quantitative experience in forecasting and analytics

  • Experience with time-series forecasting techniques and modeling using machine learning or deep learning techniques
  • Proficient in Python and SQL
  • Strong analytical and problem-solving skills, with the ability to communicate complex ideas simply
  • Effective verbal, written, and visual communication skills
  • Desire to excel in a fast-paced and dynamic business environment

Preferred Qualifications

* Solid experience in statistical inference and applying statistical rigor to analyses

  • Knowledge of data visualization best practices and experience with data visualization tools, such as Tableau or Power BI
  • Excellent SQL skills
  • Graduate degree and/or 4+ years of experience in analytics or data science

Education

* Bachelor's degree or equivalent

Compensation & Benefits

The base pay provided will be commensurate with internal equity and may vary depending on the candidate's geographic region, job-associated knowledge, skills, and experience, among other factors. A bonus and/or long-term performance incentive plan may be provided as part of the compensation package, along with a comprehensive range of medical, financial, and other benefits.

Work Environment & Culture

arenaflex is an equal opportunity employer, committed to diversity and inclusion. We value creativity, innovation, and collaboration, and we're passionate about using data to drive business outcomes and guest experiences. Our team is dedicated to delivering exceptional results, and we're looking for like-minded individuals to join our team.

How to Apply

If you're passionate about data analysis and driven to make a real impact on business outcomes, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your qualifications and experience. We can't wait to hear from you! Apply Now! Apply for this job

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