Experienced Full Stack Performance Analyst – Data-Driven Insights for careerzynith
At careerzynith, we're revolutionizing the way we approach data-driven decision making. Our Consumer Insight, Measurement & Analytics (CIMA) team is a hub of excellence, leveraging actionable statistics analytics, integration, and insights to drive business outcomes and guest satisfaction. As a Performance Analyst, you'll be at the forefront of this movement, working closely with our Digital and Travel Operations Analytics (DTOA) team to analyze, optimize, and innovate our virtual and contact channels.
**About careerzynith**
careerzynith is a global leader in entertainment, media, and consumer products. Our mission is to create unforgettable experiences for our guests, and our CIMA team is instrumental in making that happen. With a focus on data-driven insights, we're constantly pushing the boundaries of what's possible in analytics, measurement, and reporting.
**Job Summary**
We're seeking an experienced Full Stack Performance Analyst to join our DTOA team. As a key member of our analytics team, you'll be responsible for providing dimension and analytical support for Contact Centers and pre-arrival Walt Disney World Commerce. You'll work closely with our team to analyze, forecast, and optimize our virtual and contact channels, driving business outcomes and guest satisfaction.
**Key Responsibilities**
* Conduct forecasting, advert hoc modeling, and deep-dive evaluation to inform business decisions
* Monitor agent performance, proactively identify areas for improvement, and develop personalized analyses from start to finish
* Build shows and visualizations to tell compelling stories with data
* Present and discuss findings, insights, and recommendations to Senior Leadership and business partners
* Create, maintain, audit, and continuously optimize reports and documents used to support various programs
* Execute programs critical to the business operation under strict timelines
**Measurement and Analytics**
* Leverage multiple reporting tools and databases (Tableau, Snowflake, Hadoop, Dataiku, Excel, etc.) to conduct analyses and build/maintain reports
* Monitor data quality and document accuracy; improve if needed
* Collaborate with team members, leaders, and business partners to answer summary business questions with sound quantitative analyses and reproducible results
* Apply progressive analytic techniques to test hypotheses and extract actionable insights
* Stay up-to-date with today's data technology trends and share knowledge and best practices with team members
**We're Looking for Someone with**
* Bachelor's degree and 2+ years of quantitative, non-internship experience in an analytical role
* Familiarity with forecasting, including conventional statistical techniques and/or machine learning or deep learning techniques
* Proactive interest in understanding the "why" behind performance, decisions, etc.
* Strong attention to detail and ability to follow through on tasks and complete projects on time
* Effective communication skills (verbal, written, and visual)
* Desire to excel in a fast-paced, complex, and ambiguous business environment
* Experience with SQL and R or Python
**Nice-to-Haves**
* Solid knowledge of statistical inference and proven experience in 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 and fluency in R or Python
* Ability to quickly adapt and learn new tools and skills
* Ability to maintain and develop relationships with partners/clients/team members
* Graduate degree and/or 4+ years of relevant experience in analytics or data science
**What We Offer**
* Competitive salary range: $25-40/hour
* Opportunity to work with a global leader in entertainment, media, and consumer products
* Collaborative and dynamic work environment
* Professional development and growth opportunities
* Comprehensive benefits package, including health insurance, retirement plan, and paid time off
* Flexible work arrangements, including remote work options
**How to Apply**
If you're a motivated and analytical individual with a passion for data-driven insights, we encourage you to apply. Please submit your resume and a cover letter explaining why you're the ideal candidate for this role. We can't wait to hear from you!
Apply Now!
Apply for this job
**About careerzynith**
careerzynith is a global leader in entertainment, media, and consumer products. Our mission is to create unforgettable experiences for our guests, and our CIMA team is instrumental in making that happen. With a focus on data-driven insights, we're constantly pushing the boundaries of what's possible in analytics, measurement, and reporting.
**Job Summary**
We're seeking an experienced Full Stack Performance Analyst to join our DTOA team. As a key member of our analytics team, you'll be responsible for providing dimension and analytical support for Contact Centers and pre-arrival Walt Disney World Commerce. You'll work closely with our team to analyze, forecast, and optimize our virtual and contact channels, driving business outcomes and guest satisfaction.
**Key Responsibilities**
* Conduct forecasting, advert hoc modeling, and deep-dive evaluation to inform business decisions
* Monitor agent performance, proactively identify areas for improvement, and develop personalized analyses from start to finish
* Build shows and visualizations to tell compelling stories with data
* Present and discuss findings, insights, and recommendations to Senior Leadership and business partners
* Create, maintain, audit, and continuously optimize reports and documents used to support various programs
* Execute programs critical to the business operation under strict timelines
**Measurement and Analytics**
* Leverage multiple reporting tools and databases (Tableau, Snowflake, Hadoop, Dataiku, Excel, etc.) to conduct analyses and build/maintain reports
* Monitor data quality and document accuracy; improve if needed
* Collaborate with team members, leaders, and business partners to answer summary business questions with sound quantitative analyses and reproducible results
* Apply progressive analytic techniques to test hypotheses and extract actionable insights
* Stay up-to-date with today's data technology trends and share knowledge and best practices with team members
**We're Looking for Someone with**
* Bachelor's degree and 2+ years of quantitative, non-internship experience in an analytical role
* Familiarity with forecasting, including conventional statistical techniques and/or machine learning or deep learning techniques
* Proactive interest in understanding the "why" behind performance, decisions, etc.
* Strong attention to detail and ability to follow through on tasks and complete projects on time
* Effective communication skills (verbal, written, and visual)
* Desire to excel in a fast-paced, complex, and ambiguous business environment
* Experience with SQL and R or Python
**Nice-to-Haves**
* Solid knowledge of statistical inference and proven experience in 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 and fluency in R or Python
* Ability to quickly adapt and learn new tools and skills
* Ability to maintain and develop relationships with partners/clients/team members
* Graduate degree and/or 4+ years of relevant experience in analytics or data science
**What We Offer**
* Competitive salary range: $25-40/hour
* Opportunity to work with a global leader in entertainment, media, and consumer products
* Collaborative and dynamic work environment
* Professional development and growth opportunities
* Comprehensive benefits package, including health insurance, retirement plan, and paid time off
* Flexible work arrangements, including remote work options
**How to Apply**
If you're a motivated and analytical individual with a passion for data-driven insights, we encourage you to apply. Please submit your resume and a cover letter explaining why you're the ideal candidate for this role. We can't wait to hear from you!
Apply Now!
Apply for this job