Senior Data Analyst – Remote Data Entry & Virtual Assistant – Streaming Services Analytics (careerzynith)

About careerzynith – Pioneering the Future of Streaming Entertainment

careerzynith is a global leader in digital entertainment, delivering world‑class streaming experiences to millions of households worldwide. Our Immediate to Viewer division powers the core streaming platforms—careerzynith+, careerzynith Stream, careerzynith Sports, and careerzynith International—ensuring that captivating stories, live events, and exclusive content reach fans wherever they are. As we continue to expand our footprint, we are seeking a highly skilled Senior Data Analyst to join our Remote Data Entry and Virtual Assistant team. This role offers a unique blend of analytical rigor, cross‑functional collaboration, and the flexibility to work from anywhere in the United States while contributing to the strategic growth of our streaming portfolio.

Why This Role Matters

In the fast‑moving world of streaming, accurate and timely data is the lifeblood of decision‑making. Our Senior Data Analyst will be the guardian of subscriber metrics, pricing adjustments, and churn‑prevention initiatives. By partnering closely with upstream data engineers, product managers, and finance partners, you will ensure that every data point—whether it relates to a new subscription, a price change, or a remediation event—is captured, validated, and transformed into actionable insight. Your work will directly influence how careerzynith delivers value to its customers, optimizes revenue streams, and maintains compliance with regulatory standards.

Key Responsibilities

• Data Acquisition & Archival: Oversee the collection, storage, and maintenance of subscriber data related to pricing changes, subscription plans, and new data ingestion processes.
• Incident Remediation Support: Coordinate with the Incident Management team to ensure that affected customers receive appropriate credits or refunds in a timely manner.
• Business Requirement Translation: Work with product, legal, and finance stakeholders to translate complex business needs into clear data specifications and remediation workflows.
• Stakeholder Communication: Deliver concise updates on data pipeline progress, potential roadblocks, and mitigation strategies to both technical and non‑technical audiences.
• Data Quality & Governance: Build and maintain robust data models that support subscriber analytics, ensuring data integrity and consistency across the organization.
• Project Planning & Coordination: Manage timelines, cross‑functional handoffs, and resource allocation to guarantee readiness for major product launches and quarterly business reviews.
• Process Improvement: Lead initiatives to streamline data communication processes, develop functional playbooks, and reduce data incident frequency.
• Collaboration with Data Product & Quality Teams: Contribute to the design of resilient data delivery architectures that minimize downtime and enhance reporting accuracy.

Essential Qualifications

• Minimum 2 years of hands‑on experience writing SQL queries, with a focus on ETL pipelines and data transformation.
• At least 2 years of analytical experience in a fast‑paced, data‑driven environment.
• Demonstrated ability to convey technical concepts to diverse audiences, ranging from engineers to senior business leaders.
• Proficiency in Python, R, or comparable data‑science programming languages for data manipulation and analysis.
• Familiarity with data visualization and analytics tools such as Looker, Tableau, Power BI, or Chartio.
• Strong relational skills, with excellent written and verbal communication abilities.

Preferred (Nice‑to‑Have) Qualifications

• Understanding of statistical concepts, including hypothesis testing and regression analysis.
• Advanced degree (Master’s or Ph.D.) in Data Science, Statistics, Computer Science, or a related field.
• Experience with data pipeline orchestration tools such as Airflow, Prefect, or Azure Data Factory.
• Knowledge of cloud platforms (AWS, GCP, Azure) and modern data warehousing solutions.

Core Skills & Competencies

• Analytical Mindset: Ability to dissect large datasets, identify trends, and translate findings into strategic recommendations.
• Detail Orientation: Meticulous attention to data accuracy, especially when handling financial and compliance‑related information.
• Collaboration: Proven track record of working effectively across product, finance, legal, and engineering teams.
• Problem‑Solving: Proactive approach to identifying data gaps, troubleshooting pipeline failures, and implementing corrective actions.
• Adaptability: Comfort with a dynamic environment where priorities shift quickly based on business needs.

Career Growth & Learning Opportunities

careerzynith invests heavily in the professional development of its employees. As a Senior Data Analyst, you will have access to:

• Mentorship programs with senior leaders in data engineering, product analytics, and finance.
• Sponsored certifications in cloud platforms, data engineering, and advanced analytics.
• Opportunities to lead high‑visibility projects that directly impact revenue and customer satisfaction.
• Cross‑departmental rotations that broaden your expertise across the streaming ecosystem.
• Regular knowledge‑sharing sessions, hackathons, and internal conferences focused on emerging technologies.

Work Environment & Culture at careerzynith

Our remote‑first philosophy empowers you to work from any location within the United States while staying connected through state‑of‑the‑art collaboration tools. careerzynith fosters an inclusive, innovative, and supportive culture where diverse perspectives are celebrated. We prioritize:

• Flexibility: Choose your own working hours within a standard 8‑hour day to maintain work‑life balance.
• Transparency: Open communication channels with leadership, ensuring you are always informed about company direction and strategy.
• Well‑Being: Access to mental‑health resources, virtual fitness programs, and employee assistance services.
• Diversity & Inclusion: Employee resource groups, inclusive hiring practices, and continuous training on bias awareness.

Compensation, Perks & Benefits

careerzynith offers a competitive hourly rate ranging from $20–$30 per hour, commensurate with experience and expertise. In addition to base compensation, you will enjoy:

• Comprehensive health, dental, and vision insurance plans.
• Retirement savings options with company matching contributions.
• Generous paid time off, holidays, and sick leave.
• Professional development budget for courses, conferences, and certifications.
• Technology stipend to equip your home office with the tools you need to succeed.
• Employee recognition programs and performance‑based bonuses.

How to Apply

If you are passionate about turning data into strategic advantage, thrive in a collaborative remote environment, and want to make a tangible impact on the future of streaming entertainment, we want to hear from you. Click the link below to submit your application and become a vital part of the careerzynith family.

Apply Job!

Join careerzynith – Shape the Future of Entertainment

At careerzynith, your analytical expertise will help millions of viewers discover the stories they love, while you grow your career in a dynamic, forward‑thinking organization. Take the next step in your professional journey and apply today.