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About careerzynith
careerzynith is a global leader in entertainment and streaming, delivering beloved stories and innovative experiences to millions of households worldwide. With a portfolio that spans multiple streaming platforms, live sports, and original content, careerzynith continuously pushes the boundaries of how audiences engage with media. Our mission is to create magical moments for fans and families, leveraging data‑driven insights to personalize every interaction. As a forward‑thinking, technology‑enabled organization, careerzynith invests heavily in talent, cutting‑edge analytics, and a culture that celebrates curiosity, collaboration, and creativity.
Role Overview
We are seeking a Senior Remote Data Analyst to join the Data Analytics team within the Subscription Operations group. In this pivotal role, you will own the end‑to‑end data pipeline that powers subscriber growth, churn mitigation, and revenue optimization across careerzynith’s streaming ecosystem—including careerzynith+, careerzynith, careerzynith+, careerzynith+, and careerzynith+. You will partner closely with product, finance, and business operations stakeholders to ensure that every data point is accurate, actionable, and aligned with strategic business objectives. This is a fully remote, full‑time position that offers the flexibility to work from anywhere while contributing to a high‑impact, high‑visibility function.
Key Responsibilities
- Design, develop, and maintain robust ETL pipelines in SQL and Python to ingest, transform, and load subscriber‑level data from multiple sources.
- Own the data quality framework for subscription metrics, including subscription count, revenue recognition, churn, upgrades, downgrades, and new subscriber acquisition.
- Collaborate with upstream data partners to define data contracts, ensure schema consistency, and resolve data discrepancies in a timely manner.
- Identify and flag subscribers who qualify for targeted retention or promotional offers, translating business rules into precise data filters.
- Partner with the Incident Management team, Business Operations, and Product Design to guarantee that remediation actions (e.g., refunds, credits) are executed accurately and efficiently.
- Produce concise, executive‑level summaries of data trends, project status, and potential roadblocks for cross‑functional stakeholders.
- Maintain comprehensive documentation of data models, pipelines, and business logic to support knowledge sharing and onboarding.
- Drive cross‑departmental alignment by establishing clear communication protocols and playbooks between Data, Business Operations, and Finance.
- Collaborate with Data Product and Data Quality Engineering to implement automated data validation and monitoring solutions that reduce manual error.
- Lead project planning activities, including timeline creation, resource allocation, and risk mitigation for major business initiatives.
Essential Qualifications
- Minimum 2 years of hands‑on experience building and maintaining SQL‑based ETL pipelines in a production environment.
- At least 2 years of analytical experience translating complex business requirements into data‑driven solutions.
- Proficiency in Python or R, with a demonstrated ability to write clean, modular code for data extraction, transformation, and analysis.
- Experience with data visualization and BI tools such as Looker, Tableau, Power BI, or Chartio, and the ability to craft dashboards that surface actionable insights.
- Strong understanding of subscription business models, revenue recognition principles, and key performance indicators (KPIs) relevant to streaming services.
- Excellent written and verbal communication skills, with a track record of presenting technical concepts to non‑technical audiences.
- Demonstrated ability to work autonomously in a remote setting while maintaining high levels of collaboration and accountability.
Preferred Qualifications
- Experience with cloud data platforms (e.g., Snowflake, BigQuery, Redshift) and modern data orchestration tools such as Airflow or dbt.
- Background in the entertainment or media industry, specifically with subscription‑based streaming services.
- Familiarity with statistical analysis, A/B testing, and predictive modeling to forecast churn and lifetime value.
- Knowledge of data governance frameworks and GDPR/CCPA compliance considerations.
- Prior involvement in incident response or remediation workflows for financial or customer‑impacting events.
Core Skills & Competencies
- Analytical Thinking: Ability to dissect large data sets, identify patterns, and draw meaningful conclusions that drive business decisions.
- Problem Solving: Proactive approach to troubleshooting data issues, root‑cause analysis, and implementing sustainable fixes.
- Collaboration: Strong partnership mindset, comfortable working with product managers, engineers, finance analysts, and senior leadership.
- Attention to Detail: Meticulous data validation to ensure accuracy of subscriber metrics and financial reporting.
- Project Management: Experience managing timelines, coordinating cross‑functional deliverables, and communicating progress effectively.
- Adaptability: Thrive in a fast‑paced, ever‑changing environment where priorities shift based on business needs.
Career Growth & Learning Opportunities
careerzynith is committed to the professional development of its employees. As a Senior Data Analyst, you will have access to:
- Mentorship from senior leaders in data science, product, and finance.
- Sponsored certifications (e.g., AWS Certified Data Analytics, Google Cloud Professional Data Engineer).
- Opportunities to lead high‑visibility projects that directly influence company revenue and customer experience.
- Cross‑functional rotations that broaden your expertise across product, operations, and strategy.
- Regular knowledge‑sharing sessions, hackathons, and internal conferences focused on emerging analytics technologies.
Work Environment & Culture at careerzynith
Our remote‑first culture is built on trust, flexibility, and a shared passion for storytelling. Key aspects of our environment include:
- Inclusive Collaboration: Diverse teams that value every voice, encouraging open dialogue and innovative thinking.
- Work‑Life Harmony: Flexible schedules, generous PTO, and a supportive approach to mental health and well‑being.
- Technology‑Driven: State‑of‑the‑art tools, cloud infrastructure, and a commitment to continuous improvement.
- Community Impact: Opportunities to contribute to charitable initiatives and community outreach programs championed by careerzynith.
- Recognition & Rewards: Regular performance feedback, peer‑to‑peer recognition, and career‑advancement pathways.
Compensation, Benefits & Perks
careerzynith offers a competitive total rewards package that includes:
- Base salary aligned with market benchmarks for senior analytics roles.
- Annual performance‑based bonuses and equity participation.
- Comprehensive health, dental, and vision coverage for you and your dependents.
- Retirement savings plans with company matching contributions.
- Remote‑work stipend for home office setup, high‑speed internet, and ergonomic equipment.
- Professional development budget, conference attendance, and access to online learning platforms.
- Generous parental leave, family‑friendly policies, and employee assistance programs.
- Wellness initiatives such as virtual fitness classes, meditation sessions, and mental‑health resources.
How to Apply
Ready to shape the future of streaming data at careerzynith? Follow these steps to submit your application:
- Click the “Apply Now” button below.
- Upload your updated resume and a tailored cover letter that highlights your relevant experience.
- Complete any optional assessments or questionnaires that help us understand your skill set.
- Submit the application and you will receive an automated confirmation email.
- If your profile matches our needs, a member of the careerzynith recruiting team will reach out to schedule the next steps.
Join careerzynith Today
If you are passionate about turning raw data into strategic advantage, love solving complex business problems, and thrive in a collaborative, remote environment, we want to hear from you. At careerzynith, your work will directly influence the experiences of millions of viewers worldwide, while you grow alongside some of the brightest minds in the industry. Apply now and become a catalyst for data‑driven storytelling excellence.
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