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About careeraxis and the Streaming Revolution
Welcome to careeraxis, a global leader in immersive entertainment and digital media. With a portfolio that spans blockbuster films, original series, and cutting‑edge streaming experiences, careeraxis is redefining how audiences connect with stories worldwide. Our streaming division is the heartbeat of the company, delivering high‑quality content to millions of subscribers across continents. As the digital landscape evolves, careeraxis remains at the forefront of innovation, leveraging data, technology, and creative storytelling to stay ahead of the curve.
In this dynamic environment, data is the engine that powers every decision—from content acquisition to personalized recommendations, from pricing strategies to customer retention. We are looking for a seasoned Senior Data Analyst and Virtual Assistant who can blend analytical rigor with operational excellence to support our Subscriber Tasks capability. If you thrive on turning raw data into actionable insights and enjoy collaborating across teams, you’ll find a home at careeraxis.
Role Overview
As a Senior Data Analyst & Virtual Assistant, you will be the linchpin between our upstream messaging partners and the subscriber experience. Your responsibilities will span data entry, query development, incident remediation, and cross‑functional communication. You’ll ensure that every subscriber adjustment—whether a price change, a new arrangement, or a data collection initiative—is accurately captured, legally compliant, and delivered on time.
Key Responsibilities
- Data Management & Documentation: Maintain meticulous records of subscriber messaging drives, including price increases, subscription arrangements, and new data collection efforts. Ensure that incident remediation data is complete and accurate, guaranteeing that the right clients receive refunds when required.
- Query Development & Analysis: Build and refine SQL queries that embody complex business logic. Translate analytical requirements into efficient, maintainable code that supports both routine reporting and ad‑hoc investigations.
- Stakeholder Communication: Serve as the bridge between technical teams and business stakeholders. Translate technical findings into clear, concise summaries, and proactively flag potential detours or risks.
- Subscriber Adjust Expertise: Develop deep knowledge of subscriber adjustments and the underlying data architecture. Stay current on system changes, data models, and compliance requirements.
- Project Planning & Delivery: Own project timelines, coordinate cross‑functional deliverables, and ensure readiness for high‑impact business events. Facilitate status meetings, track milestones, and drive continuous improvement.
- Process & Playbook Development: Collaborate with Data, Business Operations, and Finance to create robust communication processes and operational playbooks that standardize best practices.
- Reporting & Data Quality: Work with Data Product and Data Quality Engineering to design resilient reporting solutions that minimize data incidents and enhance data reliability.
Essential Qualifications
- Minimum 2 years of hands‑on experience developing SQL queries, especially within ETL pipelines.
- At least 2 years of analytical experience, preferably in a subscription‑based or media environment.
- Proven ability to articulate technical concepts to non‑technical audiences, both verbally and in written form.
- Proficiency in Python or R for statistical analysis and data manipulation.
- Experience with data visualization tools such as Tableau, Looker, or Chartio.
- Strong interpersonal skills, with a track record of effective collaboration across cross‑functional teams.
Preferred Qualifications
- Solid understanding of statistical concepts, including hypothesis testing and regression analysis.
- Postgraduate degree in Data Science, Statistics, Computer Science, or a related field.
- Familiarity with workflow orchestration tools such as Airflow.
Career Growth & Learning Opportunities
At careeraxis, we believe that your professional growth is a shared journey. As a Senior Data Analyst, you will have access to:
- Structured learning paths that cover advanced analytics, machine learning, and cloud data platforms.
- Mentorship from senior data scientists and product leaders who are passionate about knowledge sharing.
- Hands‑on experience with industry‑leading tools and technologies, including cloud data warehouses, real‑time streaming, and AI‑driven recommendation engines.
- Opportunities to lead high‑impact projects that shape the future of careeraxis’s streaming services.
- Regular hackathons, internal data challenges, and cross‑departmental workshops that foster creativity and innovation.
Work Environment & Culture at careeraxis
Our culture is built on the pillars of respect, inclusivity, collaboration, and continuous learning. Even as a remote role, you’ll feel connected to a global community that values:
- Transparent communication and open feedback loops.
- Flexibility that empowers you to balance work and life while delivering exceptional results.
- Innovation that encourages experimentation and celebrates data‑driven breakthroughs.
- Commitment to diversity and inclusion, ensuring every voice is heard and valued.
Compensation, Perks, and Benefits
While specific figures vary by location and experience, careeraxis offers a competitive salary package that reflects your expertise and contributions. In addition, you’ll enjoy:
- Comprehensive health and wellness benefits, including medical, dental, and vision coverage.
- Generous retirement savings plan with company matching.
- Unlimited paid time off and flexible work arrangements.
- Access to professional development resources, including conferences, certifications, and online Apply for this job