About careeraxis
Welcome to careeraxis, a global leader in immersive entertainment and media solutions. With a legacy spanning more than a century, careeraxis has evolved from a pioneering animation studio into a diversified powerhouse that delivers storytelling, streaming, theme‑park experiences, and cutting‑edge technology to audiences worldwide. Our mission is to create unforgettable moments that bring families together, spark imagination, and inspire curiosity. At careeraxis, we believe that data is the heartbeat of every creative decision, and we’re looking for fresh talent to help us turn insights into action.
Why careeraxis?
- Innovation at Scale – Work on projects that reach millions of viewers across continents.
- Collaborative Culture – Join cross‑functional teams that blend storytelling, technology, and analytics.
- Career Growth – Structured learning paths, mentorship programs, and opportunities to move into senior analyst, data engineering, or product roles.
- Remote‑First Flexibility – Work from anywhere while staying connected to a vibrant global community.
- Impactful Work – Your analyses will shape the next generation of careeraxis+ content, user experiences, and business strategies.
Position Overview
As an Entry‑Level Data Analyst at careeraxis, you will play a pivotal role in supporting careeraxis+ content and shopper experience initiatives. You will collaborate with product, marketing, and engineering teams to collect, clean, analyze, and visualize data that drives decision‑making across the organization. This role is ideal for recent graduates or individuals with a passion for data who are eager to learn and grow in a fast‑paced, creative environment.
Key Responsibilities
- Design and execute both qualitative and quantitative research studies, including surveys, focus groups, and A/B tests.
- Extract, transform, and load data from multiple sources using SQL and other ETL tools to support careeraxis+ analytics.
- Collaborate with careeraxis+ product teams to define research objectives, business requirements, and project timelines.
- Build and maintain dashboards, reports, and visualizations that communicate insights to stakeholders.
- Partner with data engineering and analytics teams to ensure data quality, integrity, and accessibility.
- Assist in the creation of data models and data dictionaries that support careeraxis+ product development.
- Support the development of predictive models and segmentation analyses to enhance user engagement.
- Stay current on industry trends in streaming, subscription services, and in‑home entertainment.
- Participate in cross‑functional meetings, presenting findings and recommending actionable strategies.
- Maintain documentation of data sources, methodologies, and analytical processes.
Essential Qualifications
- Bachelor’s degree in Business, Statistics, Finance, Psychology, Computer Science, or a related field.
- Strong foundation in SQL, with the ability to query and join complex data sets.
- Experience with data extraction, transformation, and loading (ETL) processes.
- Proficiency in data visualization tools such as Tableau, Power BI, or Looker.
- Excellent analytical and problem‑solving skills, with a keen eye for detail.
- Effective written and verbal communication skills, capable of translating technical findings into business insights.
- Ability to manage multiple projects simultaneously in a fast‑moving environment.
- Self‑motivated, collaborative, and eager to learn new technologies and methodologies.
Preferred Qualifications
- Experience with statistical software (SPSS, R, Python, SAS, or Stata).
- Familiarity with cloud data platforms such as Snowflake, Databricks, or AWS Redshift.
- Knowledge of survey tools (Qualtrics, SurveyMonkey, or similar).
- Prior exposure to subscription‑based business models or streaming analytics.
- Graduate degree in Data Science, Statistics, or a related discipline.
- Experience building predictive models or performing cohort analyses.
- Understanding of user‑experience (UX) research and design thinking.
Skills & Competencies
- Data Literacy – Ability to interpret complex data sets and derive actionable insights.
- Technical Proficiency – Advanced SQL, data modeling, and visualization expertise.
- Business Acumen – Understanding of how data informs product strategy and revenue growth.
- Communication – Clear storytelling through data, both in written reports and live presentations.
- Collaboration – Comfortable working with cross‑functional teams and external partners.
- Adaptability – Thrive in a dynamic environment with evolving priorities.
- Curiosity – Constantly seek new ways to improve processes and uncover hidden patterns.
Career Growth & Learning Opportunities
At careeraxis, we invest heavily in the professional development of our analysts. You will have access to:
- Mentorship from senior data scientists and product leaders.
- Regular training sessions on advanced analytics, machine learning, and emerging technologies.
- Opportunities to lead small projects, presenting findings to executive leadership.
- Internal mobility programs that allow you to transition into data engineering, product management, or strategic planning roles.
- Conferences, workshops, and industry events to broaden your network and expertise.
Work Environment & Culture
Our remote‑first model means you can work from anywhere while staying connected through daily stand‑ups, virtual brainstorming sessions, and collaborative tools. We celebrate diversity, inclusion, and the unique perspectives each team member brings. At careeraxis, you’ll find a culture that values creativity, curiosity, and a relentless pursuit of excellence.
Compensation & Benefits
While the exact salary will be determined based on experience and location, careeraxis offers a competitive compensation package that includes:
- Base salary commensurate with industry standards.
- Performance‑based bonuses and long‑term incentive plans.
- Comprehensive health, dental, and vision insurance.
- 401(k) matching and retirement planning resources.
- Generous paid time off, including vacation, sick leave, and holidays.
- Flexible work hours and remote work options.
- Wellness programs, mental health support, and employee assistance programs.
- Access to careeraxis+ content and exclusive events.
How to Apply
Ready to join careeraxis and help shape the future of entertainment? Submit your application through our careers portal:
- Complete the online application form.
- Attach your résumé, cover letter, and any relevant academic transcripts.
- Provide a brief statement of interest outlining why you’re excited about this role.
- Click the “Apply Now” button to submit.
We review applications on a rolling basis and encourage you to apply as soon as possible. If you have any questions, feel free to reach out to our recruiting team at careers@careeraxis.com.
Conclusion
At careeraxis, data is more than numbers—it’s the catalyst that turns imagination into reality. As an Entry‑Level Data Analyst, you’ll be at the forefront of this transformation, turning raw data into insights that drive product innovation, enhance user experiences, and fuel business growth. If you’re passionate about data, eager to learn, and ready to contribute to a world‑class entertainment brand, we want to hear from you. Apply today and start your journey with careeraxis—where stories come alive, and data tells the story behind the magic.
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