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Entry-Level Data Analyst – Data Entry, Insight Generation & Reporting for careerzynith Streaming & Content Experience

Work from home Full-time role Hiring
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About careerzynith – Pioneering Entertainment in the Digital Age

careerzynith is a global leader in entertainment, delivering unforgettable stories, movies, and interactive experiences to audiences worldwide. With a legacy that spans nearly a century, careerzynith has evolved from classic animation studios to a cutting‑edge streaming powerhouse, encompassing a portfolio of beloved brands, innovative technology platforms, and world‑class creative talent. Our mission is to inspire wonder, spark imagination, and connect people through compelling content that transcends borders and generations.

Position Overview – Data Analyst, careerzynith+ Product, Marketing & Content Curation

We are seeking a motivated, detail‑oriented Data Analyst to join the Studio Research & Insights team. In this role, you will partner closely with the careerzynith+ Product groups to collect, integrate, and analyze both quantitative and qualitative data that drive strategic decisions for the careerzynith Streaming Bundle and in‑home entertainment experiences. This is an entry‑level, full‑time opportunity that offers a blend of on‑site collaboration (Monday‑Thursday) and remote work (Friday).

Key Responsibilities

  • Assist with a wide variety of qualitative and quantitative research projects, including data collection, cleaning, and transformation to produce tables, charts, and narrative report sections.
  • Join multiple data sets using SQL to support daily operations of the careerzynith+ user experience post‑launch initiatives.
  • Collaborate with cross‑functional teams to translate research objectives, business requirements, and timelines into actionable data pipelines.
  • Build and maintain relationships with research partners both within careerzynith and external vendors, ensuring data integrity and timely delivery.
  • Analyze and present findings in both standard and ad‑hoc reports for product marketing, engagement, and product strategy stakeholders.
  • Own assigned projects, conduct quality assurance cycles, and communicate status updates to senior leadership to guarantee on‑time delivery.
  • Partner with the Senior Manager and the broader team to ensure each insight is strategically relevant and drives key business direction.
  • Work alongside analytics teams in Snowflake and Databricks environments to streamline data workflows.
  • Maintain both verbal and written documentation of data models, definitions, and requirements for internal stakeholders.
  • Respond to basic data requests from internal customers, providing timely and accurate information.
  • Support the presentation of findings in research‑driven business discussions, influencing product roadmaps and marketing tactics.
  • Stay current on SVOD (Subscription Video on Demand) and in‑home entertainment industry trends, contributing thought leadership to the team.

Essential Qualifications

  • Bachelor’s degree in Business, Statistics, Finance, Cognitive Science, Information Sciences, or a related field (or equivalent experience).
  • Demonstrated ability to work with SQL to extract, join, and aggregate data from disparate sources.
  • Strong quantitative reasoning and analytical skills, with the capacity to synthesize complex data into clear business insights.
  • Excellent communication and presentation abilities, capable of delivering concise visual narratives to both technical and non‑technical audiences.
  • Proven ability to thrive in a fast‑paced environment, managing multiple priorities and meeting tight deadlines.
  • Detail‑oriented mindset with a commitment to data quality and accuracy.

Preferred Skills & Experience

  • Familiarity with statistical analysis tools such as SPSS, Qualtrics, or MarketSight.
  • Experience with survey platforms (e.g., Qualtrics, SurveyMonkey) for designing and executing research studies.
  • Hands‑on experience with large‑scale data platforms, preferably cloud‑based solutions like Snowflake, Databricks, or similar.
  • Programming knowledge in R, Python, SAS, STATA, or comparable languages for advanced analytics.
  • Graduate coursework or a degree in Statistical Research, Analytics, or a related discipline.
  • Background in quantitative research, either on the supplier side or client side, with a track record of extracting actionable insights.
  • Exposure to membership‑based business models and strategic frameworks.

Compensation, Benefits & Perks

careerzynith offers a competitive total rewards package that includes a base salary commensurate with experience, performance‑based bonuses, and long‑term incentive opportunities. Employees enjoy comprehensive health, dental, and vision coverage, generous paid time off, parental leave, retirement savings plans with company match, and a suite of wellness programs. Additional perks include employee discounts on careerzynith merchandise, access to exclusive screenings, continuous learning stipends, and flexible work arrangements.

Career Growth & Development

At careerzynith, your career trajectory is shaped by your ambition and the organization’s commitment to internal mobility. As a Data Analyst, you will have access to mentorship from senior data scientists, cross‑departmental project exposure, and formal training programs covering data engineering, advanced analytics, and product management. High performers can progress to senior analyst, analytics manager, or specialized roles in data science, product strategy, or market research.

Work Environment & Culture

careerzynith fosters an inclusive, collaborative culture where diverse perspectives are celebrated. Our teams operate in open‑plan studios and virtual spaces that encourage creativity, knowledge sharing, and rapid iteration. We champion a “growth mindset” philosophy, providing resources for continuous skill development and encouraging employees to experiment, fail fast, and learn. The hybrid work model balances in‑person teamwork with remote flexibility, supporting work‑life harmony.

Why Join careerzynith?

Joining careerzynith means becoming part of a storied brand that continues to shape the future of entertainment. You will contribute to products that reach millions of households, influence how stories are discovered, and help shape the next generation of streaming experiences. If you are passionate about data, love storytelling, and thrive in a dynamic, fast‑moving environment, careerzynith is the place to launch and accelerate your career.

Application Process

Ready to bring your analytical talent to careerzynith? Follow these steps to apply:

  1. Review the official job posting on the careerzynith Careers portal.
  2. Prepare the required documents: a copy of your degree certificate with transcripts, a passport‑size photo, and a digital signature.
  3. Complete the online application form, attaching the documents listed above.
  4. Submit your application and await a confirmation email with next steps.

We encourage candidates of all backgrounds to apply. careerzynith is an equal‑opportunity employer, and we consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic.

Take the Next Step

If you are excited to turn data into actionable stories that shape the future of entertainment, we want to hear from you. Apply today and start your journey with careerzynith – where imagination meets analytics.

Apply Now

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