About careeraxis
careeraxis is a global leader in entertainment and streaming technology, delivering world‑class content experiences to millions of households across the planet. With a portfolio that includes premier streaming platforms such as careeraxis+, careeraxis Stream, careeraxis Sports, and careeraxis International, the company is at the forefront of digital media innovation. Our mission is to bring top‑tier storytelling to fans and families everywhere, while continuously expanding the possibilities of data‑driven entertainment.
As a remote‑first organization, careeraxis embraces flexibility, diversity, and a culture of continuous learning. We empower our teams to work from anywhere, collaborate across time zones, and shape the future of streaming through cutting‑edge analytics, product excellence, and a relentless focus on the customer experience.
Position Overview
careeraxis is seeking a seasoned Senior Data Analyst to join the Customer Insights team within the Data Analytics division. In this role, you will be the analytical backbone for ongoing customer‑impacting initiatives, ensuring that data related to subscription changes, pricing adjustments, and new data collection efforts is accurate, timely, and actionable. You will partner closely with upstream data engineers, product managers, finance, and business operations to translate complex data sets into clear business insights that drive strategic decisions across the careeraxis streaming portfolio.
Key Responsibilities
- Data Intake & Governance: Own the end‑to‑end data intake process for customer‑impacting initiatives, including price increases, subscription plan changes, and new data collection events. Ensure data quality, compliance, and timely delivery to downstream stakeholders.
- Stakeholder Collaboration: Work hand‑in‑hand with product, finance, and operations teams to identify which customers should receive legally required notifications and to determine remediation pathways for affected users.
- Business Requirement Translation: Convert business needs into clear technical specifications, providing concise documentation of data pipelines, potential roadblocks, and mitigation strategies.
- Data Modeling & Architecture: Design and maintain robust data models that capture customer change events, supporting both operational reporting and advanced analytics use cases.
- Project Management: Lead project timelines, coordinate cross‑functional communication, and ensure delivery of critical milestones for high‑impact business events.
- Process Optimization: Drive alignment across Data, Business Operations, and Finance by establishing best‑practice communication processes and functional playbooks.
- Data Quality Enhancement: Partner with Data Product and Data Quality Engineering teams to develop resilient data validation frameworks that reduce data incidents and improve reliability.
- Insight Generation: Produce actionable insights on subscription churn, pricing elasticity, and customer behavior using statistical analysis and visualization tools.
- Mentorship & Knowledge Sharing: Coach junior analysts and data engineers, fostering a culture of data literacy and continuous improvement within the analytics community.
Essential Qualifications
- Minimum 3+ years of professional experience building and maintaining SQL‑based ETL pipelines.
- At least 3+ years of hands‑on analytical experience in a fast‑paced, data‑intensive environment.
- Proven ability to convey technical or analytical concepts to a broad audience, including senior leadership.
- Strong proficiency in Python or R for data manipulation, statistical modeling, and automation.
- Experience with data visualization and BI tools such as Looker, Tableau, Power BI, or Chartio.
- Excellent written and verbal communication skills, with a talent for storytelling through data.
- Bachelor’s degree in a quantitative discipline (Computer Science, Statistics, Engineering, Mathematics, or related field).
Preferred Qualifications & Nice‑to‑Haves
- Deep understanding of statistical concepts, including hypothesis testing, regression analysis, and experimental design.
- Advanced degree (Master’s or PhD) in a quantitative field.
- Familiarity with streaming‑specific data platforms such as Windstream or similar large‑scale data lake technologies.
- Experience working with subscription‑based business models and pricing strategy analytics.
- Knowledge of data privacy regulations (e.g., GDPR, CCPA) and their impact on customer data handling.
Core Skills & Competencies
- Analytical Rigor: Ability to dissect complex data sets, identify patterns, and draw meaningful conclusions that influence business strategy.
- Technical Acumen: Mastery of SQL, data modeling, and scripting languages (Python/R) to build scalable data pipelines.
- Business Insight: Understanding of subscription economics, pricing dynamics, and customer lifecycle management.
- Collaboration: Strong interpersonal skills to work effectively with cross‑functional teams, negotiate priorities, and drive consensus.
- Project Leadership: Proven track record of managing multiple initiatives simultaneously while meeting deadlines and quality standards.
- Communication: Ability to translate technical findings into clear, compelling narratives for both technical and non‑technical audiences.
Career Growth & Learning Opportunities
careeraxis invests heavily in the professional development of its employees. As a Senior Data Analyst, you will have access to:
- Mentorship programs pairing you with senior leaders in data science, product, and finance.
- Continuous learning stipends for certifications, conferences, and online courses (e.g., Coursera, Udacity, DataCamp).
- Opportunities to lead high‑visibility projects that directly impact the company’s revenue and customer satisfaction.
- Cross‑functional rotations that broaden your expertise across product, engineering, and business strategy.
- Pathways to senior leadership roles such as Data Analytics Manager, Director of Insights, or Chief Data Officer.
Work Environment & Culture at careeraxis
Our remote‑first culture is built on trust, autonomy, and a shared passion for storytelling. Key cultural pillars include:
- Flexibility: Choose the work schedule and location that best fits your lifestyle while meeting core collaboration windows.
- Inclusivity: A diverse workforce where every voice is heard, and ideas are evaluated on merit.
- Innovation: A sandbox mindset that encourages experimentation, rapid prototyping, and data‑driven decision making.
- Well‑Being: Comprehensive mental‑health resources, wellness allowances, and regular virtual social events to foster community.
- Transparency: Open communication channels with leadership, regular town halls, and clear visibility into company goals.
Compensation, Perks & Benefits
careeraxis offers a competitive compensation package that reflects the value you bring to the organization. While the base rate for this role is $27 per hour, total rewards 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, parental leave, and holiday schedules.
- Technology stipend for home office setup, high‑speed internet, and ergonomic equipment.
- Access to a global library of streaming content, exclusive previews, and entertainment perks.
- Employee assistance programs, including counseling and financial planning services.
How to Apply
If you are excited about shaping the future of streaming through data, thrive in a collaborative remote environment, and meet the qualifications outlined above, we want to hear from you. Join careeraxis and become a pivotal part of a team that turns data into unforgettable experiences for audiences worldwide.
Closing Statement
careeraxis is committed to building a workforce that reflects the diversity of our global audience. We encourage candidates of all backgrounds to apply. Your expertise, curiosity, and passion for data will help us continue to deliver magical moments to millions of viewers every day. Take the next step in your career—apply today and help us write the next chapter of streaming innovation.
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