Remote Part‑Time Data Analyst – careerzynith Streaming Content & Customer Experience (SQL, Snowflake, Databricks) – $23/hr – Flexible Schedule

About careerzynith

careerzynith is a global leader in entertainment and streaming media, delivering unforgettable stories to millions of households worldwide. With a legacy of innovation that spans decades, careerzynith has continuously reinvented how audiences engage with content, from classic cinematic experiences to cutting‑edge digital platforms. Our flagship streaming service, careerzynith+, combines original programming, curated libraries, and next‑generation personalization to set the standard for on‑demand entertainment.

As the industry evolves, careerzynith remains at the forefront of data‑driven decision making. We empower our teams with the latest analytical tools, cloud‑based data warehouses, and a collaborative culture that values curiosity, creativity, and continuous learning. Joining careerzynith means becoming part of a vibrant community that celebrates storytelling, embraces technology, and drives measurable impact for our global audience.

Role Overview

We are seeking a detail‑oriented, proactive Data Analyst to support the careerzynith+ Product, Content Curation, and In‑Home Promotion teams. Reporting to the Senior Director of Product Analytics, you will work closely with cross‑functional partners to collect, integrate, and analyze both qualitative and quantitative data that informs product strategy, user experience enhancements, and content performance metrics. This role is a blend of remote and on‑site work, offering a flexible schedule that balances collaboration with independent analysis.

Key Responsibilities

• Assist with a broad range of qualitative and quantitative research initiatives, including data collection, cleaning, and synthesis to produce concise summaries, tables, and report sections.
• Integrate multiple data sources using SQL to support daily operations of the careerzynith+ customer experience initiatives.
• Partner with product managers, engineers, and marketing teams to translate project goals and business requirements into actionable data pipelines and analytical deliverables.
• Develop and maintain relationships with internal research partners across product, engineering, and external vendors to ensure data integrity and alignment.
• Generate and update ad‑hoc and recurring reports that combine quantitative and qualitative insights for product marketing, engagement, and product development stakeholders.
• Manage assigned projects, execute quality assurance cycles, and communicate status updates to supervisors to guarantee timely completion.
• Collaborate with senior leadership to ensure analytical outcomes are strategically significant and drive independent decision‑making.
• Work alongside the analytics team within Snowflake and Databricks environments to build scalable data models and dashboards.
• Maintain both verbal and written documentation of data structures, definitions, and requirements to support knowledge sharing.
• Respond to internal data requests from stakeholders, providing clear and actionable insights.
• Support the presentation of findings in research‑led discussions and contribute to related business conversations.
• Stay abreast of SVOD (Subscription Video on Demand) and in‑home entertainment trends, ensuring careerzynith remains a market leader.

Essential Skills & Competencies

• SQL Proficiency: Ability to write complex queries, join disparate data sets, and optimize performance.
• Data Extraction & Integration: Experience pulling data from multiple sources and creating a unified, business‑ready view.
• Quantitative Reasoning: Strong analytical mindset with the ability to interpret statistical results and translate them into business recommendations.
• Fast‑Paced Execution: Demonstrated capacity to work efficiently in a high‑velocity environment while maintaining accuracy.
• Communication & Presentation: Excellent written and verbal communication skills, with the ability to craft clear visualizations and concise narratives for diverse audiences.
• Multitasking & Adaptability: Proven ability to juggle multiple priorities, meet tight deadlines, and thrive amid evolving project scopes.

Preferred Qualifications & Experience

• Experience with statistical analysis tools such as SPSS, Qualtrics, or MarketSight.
• Familiarity with survey platforms (e.g., Qualtrics, SurveyMonkey) for gathering user feedback.
• Hands‑on experience with large‑scale data platforms, preferably cloud‑based solutions like Snowflake or Databricks.
• Programming knowledge in R, Python, SAS, or STATA for advanced analytics and automation.
• Graduate degree (M.S. or Ph.D.) in Statistics, Data Science, or a related quantitative discipline.
• Background in quantitative research, either on the client side (e.g., market research firms) or on the product side (e.g., analytics teams).
• Experience extracting insights from large, unstructured data sets and translating them into actionable business strategies.
• Understanding of subscription‑based business models and lifecycle analytics.

Education & Experience Requirements

• Bachelor’s degree in Business, Statistics, Computer Science, or a related field (required).
• 2+ years of professional experience in data analysis, research, or a similar analytical role.
• Demonstrated track record of delivering data‑driven recommendations that influence product or marketing decisions.

Compensation, Benefits & Perks

careerzynith offers a competitive hourly rate of $23, complemented by a comprehensive benefits package that includes:

• Flexible remote work options with a hybrid schedule (Monday‑Thursday on‑site, Friday remote).
• Health, dental, and vision insurance plans with employer contributions.
• Retirement savings plan with company matching.
• Generous paid time off, holidays, and sick leave.
• Professional development stipend for certifications, conferences, and online courses.
• Access to careerzynith streaming services for personal enjoyment and industry research.
• Employee assistance programs, wellness initiatives, and mental‑health resources.
• Opportunities to work with cutting‑edge technologies such as Snowflake, Databricks, and advanced analytics platforms.

Career Growth & Learning Opportunities

At careerzynith, your career trajectory is shaped by your ambition and the impact you create. As a Data Analyst, you will have pathways to advance into senior analytics, product management, or data engineering roles. Our mentorship program pairs you with seasoned leaders who guide your professional development, while internal mobility programs encourage cross‑departmental experiences. Regular hackathons, data‑science meetups, and knowledge‑sharing sessions foster a culture of continuous learning.

Work Environment & Culture

careerzynith prides itself on an inclusive, collaborative, and innovative workplace. Our teams are diverse, bringing together talent from around the globe to solve complex problems with creativity and empathy. We celebrate curiosity, encourage open dialogue, and reward initiative. Whether you are brainstorming new content strategies or fine‑tuning data pipelines, you will find a supportive environment that values both individual contributions and collective success.

Why Join careerzynith?

If you are passionate about the intersection of entertainment and data, thrive in a dynamic, fast‑moving setting, and want to make a tangible impact on how millions of viewers experience streaming content, careerzynith is the ideal place to grow your career. You will work on high‑visibility projects that directly influence product decisions, collaborate with industry‑leading experts, and enjoy a flexible work arrangement that respects work‑life balance.

Application Process

Ready to bring your analytical expertise to careerzynith and help shape the future of streaming entertainment? Click the link below to submit your application. We look forward to reviewing your profile and exploring how your skills can contribute to our mission of delivering magical experiences to audiences worldwide.

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