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About worksphere
worksphere is a global leader in experiential entertainment and immersive technology, delivering unforgettable moments across theme parks, resorts, and digital platforms. With a relentless focus on innovation, data‑driven decision making, and customer delight, worksphere empowers teams worldwide to turn insights into action. As part of our Consumer Insight, Measurement & Analytics (CIMA) division, we harness cutting‑edge statistical models and machine learning to shape marketing strategies that resonate with millions of guests every year. If you thrive in a fast‑paced, collaborative environment and want to see your work directly influence the next generation of entertainment experiences, worksphere is the place for you.
Position Overview
We are seeking a Remote Data Entry & Analytics Specialist to join our CIMA team on a part‑time basis. In this role, you will transform raw data into actionable insights, build predictive models, and support cross‑functional partners in understanding media performance and guest engagement. Your analytical rigor and storytelling skills will help senior leaders make data‑backed decisions that drive growth and enhance the guest experience across worksphere’s global portfolio.
Key Responsibilities
- Develop Marketing Mix Models for a variety of worksphere business units, quantifying the impact of media spend on guest acquisition and retention.
- Translate Results into Insights by converting statistical outputs into clear, concise narratives that guide marketing and product teams.
- Create Insightful Dashboards using data visualization tools to provide real‑time performance metrics and strategic recommendations.
- Build Statistical Models tailored to worksphere’s unique challenges, including time‑series forecasting, clustering, and regression analysis.
- Conduct Exploratory Data Analysis to uncover hidden patterns, validate data integrity, and support hypothesis testing.
- Collaborate with Cross‑Functional Teams—marketing, finance, operations—to align analytical initiatives with business objectives.
- Document Methodologies and maintain reproducible workflows to ensure transparency and scalability across the CIMA organization.
Essential Qualifications
- Minimum 2 years of experience in data analytics, data mining, or statistical modeling, including multivariate regression, time‑series analysis, and forecasting.
- Proficiency in R or Python for data manipulation, analysis, and model development.
- Strong written and verbal communication skills, with the ability to distill complex analytics into executive‑level summaries.
- Experience with SQL and relational databases to extract, clean, and transform data.
- Demonstrated ability to work independently in a remote setting, managing multiple priorities and meeting deadlines.
Preferred Qualifications
- Advanced proficiency in R or Python, including experience with machine learning libraries (e.g., scikit‑learn, caret, tidyverse).
- Prior work in a media, marketing, or analytics consulting environment.
- Deep knowledge of advertising and marketing analytics, including media mix modeling and attribution.
- Expertise in statistical methodologies such as Bayesian inference, hierarchical modeling, or advanced forecasting techniques.
- Experience with cloud data platforms (AWS, GCP, Azure) and data orchestration tools.
Education
Required: Master’s degree or equivalent in Statistics, Mathematics, Economics, Data Science, Computer Science, Engineering, or Operations Research.
Preferred: Ph.D. or equivalent in a related quantitative field.
Skills & Competencies
- Analytical Thinking – ability to approach problems methodically and derive actionable insights.
- Technical Proficiency – advanced data manipulation, statistical modeling, and visualization.
- Communication – clear storytelling for technical and non‑technical audiences.
- Collaboration – working effectively with cross‑functional teams in a virtual environment.
- Adaptability – thriving in a dynamic, fast‑moving organization with evolving priorities.
- Attention to Detail – ensuring data accuracy and model validity.
Career Growth & Learning Opportunities
At worksphere, your growth is a priority. As a part‑time specialist, you will have access to:
- Mentorship from senior analysts and data scientists.
- Regular training sessions on emerging analytics tools and industry best practices.
- Opportunities to lead small projects and present findings to executive leadership.
- Pathways to transition into full‑time roles or other analytical positions within worksphere.
Work Environment & Culture
worksphere fosters a culture of creativity, curiosity, and continuous improvement. Our remote teams enjoy flexible schedules, collaborative virtual spaces, and a commitment to work‑life balance. We celebrate diversity, encourage open dialogue, and reward innovative thinking. As part of the CIMA team, you will be part of a mission‑driven group that values data integrity, transparency, and the power of storytelling to shape the future of entertainment.
Compensation & Benefits
While the base pay for this part‑time role reflects internal equity and is competitive within the industry, additional incentives may include performance bonuses and long‑term incentive plans. Benefits for remote employees typically include health, dental, and vision coverage, a flexible spending account, and a generous paid time off policy. worksphere also offers professional development stipends, access to an extensive library of learning resources, and a supportive community of peers and mentors.
How to Apply
Ready to bring your analytical expertise to worksphere? Submit your resume and a brief cover letter outlining your experience with data modeling, your favorite analytical tool, and why you’re excited about this role. Click the link below to apply and take the first step toward shaping the next chapter of worksphere’s story.
Apply to this JobClosing Statement
If you are passionate about turning data into decisions, thrive in a remote, collaborative setting, and want to contribute to world‑class entertainment experiences, worksphere invites you to apply. Join us and help transform insights into unforgettable moments for guests around the globe.
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