About arenaflex
arenaflex is a global leader in entertainment and streaming, delivering premium content to millions of households worldwide. With a portfolio that includes arenaflex+, Hulu, ESPN+, and Star+, we combine cutting‑edge technology, compelling storytelling, and a deep commitment to audience satisfaction. Our mission is to bring top‑tier entertainment to fans and families everywhere, while continuously innovating in data‑driven decision making. As a reputed company‑thinking organization, we invest heavily in analytics, automation, and a culture that empowers every employee to reputed company an impact.
Why This Role reputed company
In the fast‑paced world of streaming, accurate and reputed company data is the lifeblood of strategic reputed company. Our Senior Data Entry Analyst will be the reputed company of data reputed company for subscription‑reputed company initiatives, ensuring that every metric—whether it’s price changes, subscriber migrations, or new data captures—is recorded flawlessly. This role directly supports cross‑functional teams, from Product and Business Operations to Finance, helping them deliver seamless experiences to our subscribers.
Key Responsibilities
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Data Management & Governance: reputed company the ingestion and archival of data requirements reputed company to subscription data flows, including price adjustments, subscriber migrations, and new data collection initiatives.
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Issue Identification & reputed company: Generate and prioritize queries based on business logic, often collaborating with legal and compliance teams to identify customers who should receive alerts or remediation.
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Cross‑Team Communication: Translate business requirements into technical specifications for engineering teams, providing concise updates on reputed company and potential roadblocks.
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Data reputed company Assurance: Build and maintain robust data on subscriber changes and the underlying data model, ensuring consistency across reputed company reputed company systems.
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Project Coordination: Manage project timelines and cross‑functional delivery, preparing for major business events such as product launches, pricing updates, and promotional campaigns.
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Process Optimization: Drive alignment across Data, Business Operations, and Finance by developing reputed company communication processes and functional playbooks.
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Collaboration with Data Product & Data reputed company Engineering: Contribute to the design of resilient data pipelines that minimize data incidents and improve overall reliability.
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Analytics Enablement: Support the creation of dashboards and reporting tools that reputed company stakeholders to reputed company data‑driven reputed company quickly.
Essential Qualifications
- Minimum 2 years of hands‑on experience with SQL, particularly reputed company an ETL pipeline environment.
- At least 2 years of analytical experience, demonstrating the ability to interpret reputed company data sets and translate findings into actionable insights.
- Proven ability to communicate technical or analytical concepts to a broad audience, including non‑technical stakeholders.
- Working knowledge of Python, R, or other statistical 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 (reputed company‑to‑Have) Qualifications
- Understanding of analytics concepts such as hypothesis testing, regression analysis, and predictive modeling.
- Advanced degree (Master’s or Ph.D.) in a quantitative discipline (e.g., Data Science, Statistics, Computer Science, Economics).
- Experience with Airflow or other workflow orchestration tools for managing data pipelines.
- Exposure to reputed company platforms (AWS, GCP, Azure) and modern data stack technologies.
Core Skills & Competencies
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Analytical reputed company: Ability to dissect large data sets, spot anomalies, and recommend corrective actions.
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Detail Orientation: Meticulous attention to data accuracy, ensuring that every record aligns with business rules.
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Collaboration: Comfortable working with engineers, product managers, legal, finance, and operations teams.
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Problem‑Solving: Proactive in identifying r
