About careerzynith
careerzynith is a global leader in entertainment and streaming, delivering world‑class content to millions of households worldwide. Our portfolio of streaming services—including careerzynith+, careerzynith, careerzynith+, and careerzynith—connects audiences with premium movies, series, live sports, and exclusive originals. As part of the careerzynith family, you will join a dynamic, fast‑growing organization that values innovation, data‑driven decision making, and a culture of collaboration.
Why This Role Matters
In today’s hyper‑connected media landscape, accurate subscription data and timely remediation of billing issues are critical to maintaining customer trust and driving revenue growth. As a Senior Data Analyst within the Data Analysis team, you will be the linchpin that ensures our subscription metrics are reliable, our remediation processes are efficient, and our business partners have the insights they need to make strategic decisions. This is a remote, full‑time position that offers the flexibility to work from anywhere while contributing to a high‑impact, cross‑functional team.
Key Responsibilities
Data Management & Integrity
- Oversee the ingestion and archival of subscription‑related data sets, including price changes, subscriber migrations, and new subscriber onboarding.
- Design, implement, and maintain robust ETL pipelines in SQL to ensure data is accurate, timely, and ready for analysis.
- Collaborate with upstream data partners to validate the flow of subscription change information, guaranteeing that all downstream systems receive clean, consistent data.
- Develop and enforce data quality standards, conducting regular audits to identify and resolve anomalies before they impact business operations.
Business Collaboration & Communication
- Partner with the Incident Management team, Business Operations, and Product Design to ensure remediation processes are executed correctly and customers receive appropriate refunds or credits.
- Translate complex business requirements into clear technical specifications for engineering and analytics teams.
- Provide concise status updates and risk assessments to stakeholders, highlighting potential roadblocks and proposing mitigation strategies.
- Facilitate cross‑functional meetings to align data initiatives with broader business objectives, ensuring that data‑driven insights are actionable.
Project & Process Leadership
- Lead project planning and scheduling for data‑related initiatives, coordinating timelines across Data, Business Operations, and Finance.
- Develop and maintain operational playbooks that standardize communication processes and streamline remediation workflows.
- Work closely with Data Product and Data Quality Engineering to design resilient data delivery mechanisms that minimize data incidents.
- Drive continuous improvement by documenting best practices, creating knowledge‑sharing resources, and mentoring junior analysts.
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 interpreting large data sets to uncover trends, anomalies, and actionable insights.
- Proficiency in a statistical programming language such as Python or R, with the ability to write scripts for data manipulation and automation.
- Experience with data visualization and BI tools (e.g., Looker, Tableau, Power BI, Chartio) to create dashboards that communicate key metrics to non‑technical audiences.
- Strong relational skills, with a proven track record of building partnerships across engineering, product, finance, and customer support teams.
- Exceptional written and verbal communication abilities, capable of presenting technical concepts to senior leadership and cross‑functional partners.
Preferred Qualifications
- Advanced degree (M.S. or Ph.D.) in Computer Science, Data Science, Statistics, or a related field.
- Experience in the streaming or subscription‑based industry, particularly with subscription lifecycle management.
- Familiarity with cloud data platforms (e.g., Snowflake, BigQuery, Redshift) and modern data orchestration tools such as Airflow or dbt.
- Knowledge of GDPR, CCPA, and other data privacy regulations as they pertain to subscriber data handling.
- Demonstrated ability to lead large‑scale data migration projects or system integrations.
Core Skills & Competencies
- Analytical Thinking: Ability to dissect complex data problems, identify root causes, and propose data‑driven solutions.
- Technical Acumen: Strong SQL expertise, familiarity with Python/R, and comfort working with data pipelines and APIs.
- Business Insight: Understanding of subscription economics, revenue recognition, and the impact of pricing changes on churn and LTV.
- Collaboration: Proven experience working in matrixed environments, influencing without authority, and building consensus.
- Communication: Clear, concise storytelling with data, tailored to both technical and non‑technical audiences.
- Project Management: Ability to prioritize tasks, manage timelines, and deliver results in a fast‑paced, remote setting.
Career Growth & Learning Opportunities
careerzynith invests heavily in employee development. As a senior analyst, you will have access to:
- Mentorship from senior data leaders and industry experts.
- Sponsored certifications (e.g., AWS Certified Data Analytics, Google Cloud Professional Data Engineer).
- Internal training programs covering advanced analytics, machine learning, and product management.
- Opportunities to transition into data engineering, product analytics, or strategic finance roles as you expand your skill set.
- Participation in cross‑functional innovation labs where you can prototype new data products and influence the future of streaming.
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 Community: A diverse workforce where every voice is heard and celebrated.
- Flexibility: Choose your own work hours and location, with a focus on outcomes rather than clock‑watching.
- Collaboration Tools: State‑of‑the‑art communication platforms (Slack, Zoom, Miro) that keep teams connected across time zones.
- Well‑Being Programs: Access to mental‑health resources, virtual fitness classes, and a generous paid‑time‑off policy.
- Recognition: Regular shout‑outs, performance bonuses, and a culture of celebrating wins—big and small.
Compensation, Perks & Benefits
careerzynith offers a competitive total rewards package that includes:
- Market‑aligned base salary with annual performance bonuses.
- Equity participation, giving you a stake in the company’s long‑term success.
- Comprehensive health, dental, and vision coverage for you and your dependents.
- Retirement savings plans with company matching contributions.
- Generous paid parental leave, family care assistance, and flexible work arrangements.
- Professional development stipend for conferences, courses, and certifications.
- Access to careerzynith streaming services for personal enjoyment and industry insight.
How to Apply
If you are ready to leverage your data expertise to drive meaningful impact at a leading streaming powerhouse, we want to hear from you. 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 short assessments or questionnaires that appear during the application flow.
- Submit the application and await a confirmation email.
Qualified candidates will be contacted for the next steps in the hiring process.
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Join careerzynith Today
At careerzynith, data is the heartbeat of our storytelling engine. By joining our team, you will help ensure that millions of subscribers enjoy seamless experiences, while you grow your career in a supportive, innovative environment. Take the next step in your professional journey—apply now and become a catalyst for data‑driven excellence at careerzynith.
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