About careeraxis – Pioneering Entertainment for a Global Audience
careeraxis is a world‑leading entertainment and technology powerhouse that delivers premium streaming experiences to millions of households worldwide. With a portfolio that includes iconic platforms such as careeraxis+, careeraxis Stream, careeraxis Sports, and careeraxis Star, the company blends cutting‑edge technology, compelling storytelling, and data‑driven decision making to keep audiences engaged and delighted. As a remote‑first organization, careeraxis embraces flexibility, diversity, and a culture of continuous innovation, empowering employees to thrive from any location while contributing to a vibrant, global community of creators and viewers.
Role Overview – Senior Data Analyst (Remote)
careeraxis is seeking a seasoned Senior Data Analyst to join the Customer Operations Analytics team. In this pivotal role, you will partner with cross‑functional stakeholders—including Product, Business Operations, Finance, and Engineering—to ensure the accurate capture, analysis, and remediation of subscriber data across the careeraxis streaming ecosystem. Your expertise will drive the integrity of critical business metrics, support revenue optimization initiatives, and enable timely, data‑backed decisions that enhance the subscriber experience.
Key Responsibilities
- Data Intake & Validation: Own the end‑to‑end ingestion and validation of subscriber data related to price changes, subscription plan modifications, and new data collection initiatives.
- Issue Identification & Resolution: Detect and flag customers impacted by system‑generated events that require corrective or compliance‑driven remediation, ensuring the right users receive appropriate credits or adjustments.
- Cross‑Team Collaboration: Work closely with the Product team, Business Operations, and Marketing to translate business requirements into clear data specifications and actionable insights.
- Data Quality Framework Development: Build and maintain robust data models and pipelines that underpin subscriber information, guaranteeing consistency and reliability across reporting layers.
- Project Management: Lead project timelines, coordinate cross‑functional communication, and deliver status updates for high‑impact business initiatives.
- Process Optimization: Drive alignment between Data, Business Operations, and Finance by establishing standardized communication protocols and functional playbooks.
- Analytics Enablement: Partner with Data Product and Data Quality teams to design scalable reporting solutions that minimize data latency and improve accessibility for business users.
- Stakeholder Education: Communicate complex technical concepts to non‑technical audiences, fostering a data‑centric mindset throughout the organization.
Essential Qualifications
- Minimum 3 years of hands‑on experience building and maintaining SQL‑based ETL pipelines in a high‑volume environment.
- At least 3 years of analytical experience within a data‑focused role, preferably in the media, entertainment, or subscription‑based industry.
- Demonstrated ability to convey technical or analytical concepts to large, diverse audiences with clarity and impact.
- Proficiency in programming languages such as Python or R for data manipulation, statistical analysis, and automation.
- Experience with data visualization and BI tools like Tableau, Looker, Power BI, or Chartio to create intuitive dashboards and reports.
- Strong relational skills, coupled with excellent written and verbal communication abilities.
- Bachelor’s degree in a quantitative discipline (e.g., Computer Science, Statistics, Engineering, Mathematics).
Preferred (Nice‑to‑Have) Qualifications
- Advanced understanding of statistical concepts such as hypothesis testing, regression analysis, and predictive modeling.
- Master’s degree or additional certifications in data science, analytics, or a related field.
- Familiarity with streaming‑specific data platforms and tools, including but not limited to Windstream or similar data ingestion frameworks.
- Prior experience working in a fast‑paced, remote‑first environment with distributed teams.
Core Skills & Competencies
- Analytical Rigor: Ability to dissect large datasets, identify trends, and translate findings into actionable business recommendations.
- Technical Acumen: Mastery of SQL, data modeling, and scripting languages (Python/R) to build reliable data pipelines.
- Business Insight: Understanding of subscription economics, revenue recognition, and customer lifecycle management.
- Collaboration: Proven track record of partnering with product managers, engineers, finance professionals, and senior leadership.
- Communication: Clear, concise storytelling with data visualizations that resonate with both technical and non‑technical stakeholders.
- Problem‑Solving: Proactive approach to identifying data gaps, root‑cause analysis, and implementing sustainable solutions.
- Adaptability: Comfort navigating ambiguous requirements and evolving priorities in a dynamic, growth‑focused organization.
Career Growth & Learning Opportunities
careeraxis invests heavily in the professional development of its team members. As a Senior Data Analyst, you will have access to:
- Mentorship programs pairing you with senior data leaders and industry experts.
- Continuous learning stipends for certifications, conferences, and online courses (e.g., Coursera, Udacity, DataCamp).
- Opportunities to lead high‑visibility projects that directly influence product strategy and revenue outcomes.
- A clear career ladder that can transition you into roles such as Data Science Lead, Analytics Manager, or Director of Business Intelligence.
- Cross‑functional rotations that broaden your exposure to product development, finance, and customer experience domains.
Work Environment & Culture at careeraxis
careeraxis champions a remote‑first culture that values flexibility, inclusion, and employee well‑being. Our teams operate with:
- Flexible Hours: While the role expects an 8‑hour workday, you can structure your schedule to accommodate peak productivity periods and personal commitments.
- Collaborative Tools: State‑of‑the‑art communication platforms (Slack, Microsoft Teams, Confluence) that keep you connected with global teammates.
- Diversity & Inclusion: Initiatives that celebrate varied perspectives, ensuring every voice is heard and respected.
- Wellness Programs: Access to mental‑health resources, virtual fitness classes, and ergonomic home‑office stipends.
- Recognition & Rewards: Regular acknowledgment of achievements through peer‑nominated awards, performance bonuses, and career milestones.
Compensation, Perks & Benefits
careeraxis offers a competitive compensation package that reflects the expertise you bring to the organization. While the base rate for this role is $27 per hour, total rewards may include:
- Performance‑based bonuses tied to project outcomes and business impact.
- Comprehensive health, dental, and vision coverage for you and eligible dependents.
- Retirement savings plans with company matching contributions.
- Generous paid time off (PTO) and holiday calendars to support work‑life balance.
- Professional development budgets, including tuition reimbursement for advanced degrees.
- Technology allowance for home‑office equipment, high‑speed internet, and ergonomic accessories.
- Employee assistance programs (EAP) and access to mental‑health counseling.
How to Apply
If you are passionate about turning data into strategic advantage and thrive in a remote, fast‑moving environment, we want to hear from you. To submit your application, please click the link below and follow the brief onboarding steps. All qualified candidates will be considered, and we encourage applicants from diverse backgrounds to apply.
Join careeraxis and Shape the Future of Entertainment
At careeraxis, your analytical expertise will directly influence the experiences of millions of viewers worldwide. By ensuring data integrity and delivering actionable insights, you will help the company maintain its position at the forefront of streaming innovation. Take the next step in your career—apply today and become a catalyst for data‑driven storytelling excellence.
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