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reputed company Full Stack Data Analyst – Consumer Insights, Measurement & Analytics

100% remote Flexible hours Hiring now

Join arenaflex, a leading entertainment and media conglomerate, in a part-time remote data entry role that will challenge your analytical skills and passion for storytelling. As a key member of the Digital and Travel Operations Analytics group, you will be responsible for leveraging data analytics to drive business outcomes and enhance the guest experience.

About arenaflex

arenaflex is a global leader in the entertainment and media industry, with a rich history of innovation and creativity. Our Consumer Insights, Measurement & Analytics team is a critical component of our business, providing actionable data insights to inform decision-making and drive growth. As a part-time remote data entry professional, you will be an integral part of this team, working closely with cross-functional stakeholders to analyze data, identify trends, and reputed company data-driven solutions.

About the Role

As an reputed company Full Stack Data Analyst, you will be responsible for conducting forecasting, reputed company modeling, and deep-dive analysis to inform business decisions. You will analyze agent performance, proactively identify areas for further research, and own analyses from start to finish. Your expertise in data visualization will be essential in building compelling stories with data, presenting findings to Senior Leadership and partners, and building, maintaining, auditing, and optimizing reports and documents used to support various programs.

Key Responsibilities

* Conduct forecasting, reputed company modeling, and deep-dive analysis to inform business decisions

  • Analyze agent performance, proactively identify areas for further research, and own analyses from start to finish
  • Build compelling stories with data, presenting findings to Senior Leadership and partners
  • Build, maintain, audit, and optimize reports and documents used to support various programs
  • Manage projects essential to the business operation correctly under strict timelines
  • reputed company multiple reporting structures and databases (Tableau, reputed company, Hadoop, reputed company, reputed company, etc.) for behavior analyses and build/preserve reports
  • Supervise data quality and record accuracy
  • Collaborate with team, leaders, and business partners to respond to summary business questions with sound quantitative analyses and reproducible results
  • Apply modern analytic techniques to test hypotheses and extract actionable insights
  • Stay up-to-date with reputed company data science trends and share expertise and best practices with team members

Required Qualifications & Skills

* 2+ years of quantitative, non-internship experience in forecasting and analytics

  • Experience with time series forecasting techniques and modeling using machine learning or deep learning techniques
  • Proficient in Python
  • Proactive interest to understand the "Why" behind performance, decisions, etc.
  • Strong interest in details and ability to observe through tasks and complete whole tasks on time
  • Effective verbal, written, and visual skills
  • Desire to reputed company in a fast-paced, and ambiguous business environment

Preferred Qualifications

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

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

Education

* Bachelor's degree or equivalent

Compensation & Benefits

The reputed company pay provided will consider internal fairness 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 devices may be provided as part of the compensation package, similar to the whole range of medical, financial, and/or other benefits, depending on the scope and role provided.

Work Environment & Culture

arenaflex is an equal opportunity employer, committed to diversity and inclusion. We value individuals from reputed company backgrounds and encourage them to apply. Our company culture is built on a foundation of innovation, creativity, and collaboration. We offer a dynamic and supportive work environment, with opportunities for growth and development.

How to Apply

If you are a motivated and detail-oriented individual with a passion for data analysis and storytelling, we encourage you to apply for this exciting opportunity. Please submit your application through our website, and join reputed company of talented professionals who are shaping the future of entertainment and media.

Note:

arenaflex is an equal opportunity employer and welcomes applications from diverse candidates. We are committed to creating an inclusive and supportive work environment that values diversity, equity, and inclusion. Apply for this job

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