About talentflow – Pioneering Entertainment for a Global Audience
talentflow is a world‑leading entertainment and technology powerhouse that delivers beloved stories, cutting‑edge streaming experiences, and innovative digital solutions to millions of households worldwide. With a portfolio that spans iconic streaming platforms, live sports, and original content, talentflow continuously redefines how audiences engage with media. Our mission is to inspire, entertain, and connect people across cultures, leveraging data‑driven insights to enhance every viewer’s journey. As we expand our remote workforce, we are looking for passionate, detail‑oriented professionals who thrive in a fast‑paced, collaborative environment.
Key Job Details
- Position: Senior Data Analyst – Remote Data Entry & Virtual Assistant
- Company: talentflow
- Location: Remote (U.S. based candidates preferred)
- Compensation: Competitive hourly rate ranging from $20–$30 per hour, plus performance bonuses
- Employment Type: Full‑Time
- Start Date: Immediate openings – start as soon as you’re ready
- Work Hours: 40 hours per week (flexible schedule within standard business hours)
Why This Role Matters
In talentflow’s Immediate to Shopper group, we oversee the data pipelines that power the streaming experiences across talentflow’s flagship platforms. The Senior Data Analyst you become will be the linchpin for accurate, timely, and actionable subscriber data that drives revenue, retention, and strategic decision‑making. Your work will directly influence how millions of fans discover, watch, and enjoy content, ensuring that every data point is reliable, secure, and ready for analysis.
Core Responsibilities
- Manage ingestion and archival data requirements for subscriber‑related data flows, including price changes, subscription plan updates, and new data collection initiatives.
- Develop and maintain robust ETL pipelines using SQL, ensuring data integrity and compliance with internal governance standards.
- Collaborate with upstream data partners to guarantee precise delivery of subscriber change information, identifying which customers should receive targeted communications.
- Identify and flag subscribers impacted by incidents that require critical and regulatory remediation, working closely with incident response, business operations, and product design teams.
- Translate complex business requirements into clear technical specifications, delivering concise updates and potential risk assessments to stakeholders.
- Build and sustain strong data foundations for subscriber metrics, documenting data lineage and ensuring traceability across the data ecosystem.
- Oversee project planning and timelines, coordinating cross‑functional delivery to meet critical business milestones.
- Drive alignment across Data, Business Operations, and Finance by establishing effective communication processes and functional playbooks.
- Partner with Data Product and Data Quality Engineering teams to design resilient data validation frameworks that minimize data incidents.
- Continuously improve data documentation, metadata management, and reporting standards to support self‑service analytics across the organization.
Essential Qualifications
- Minimum 2 years of hands‑on experience building and maintaining SQL‑based ETL pipelines in a production environment.
- At least 2 years of analytical experience, translating business questions into data‑driven solutions.
- Proficiency in Python, R, or another statistical programming language for data manipulation and analysis.
- Familiarity with data visualization and business intelligence tools such as Looker, Tableau, Power BI, or Chartio.
- Strong relational skills with the ability to convey technical concepts to both technical and non‑technical audiences.
- Excellent written and verbal communication skills, with a proven track record of delivering clear, concise documentation.
Preferred (Nice‑to‑Have) Qualifications
- Advanced degree (Master’s or Ph.D.) in Data Science, Computer Science, Statistics, or a related field.
- Experience with statistical concepts such as hypothesis testing, regression analysis, and predictive modeling.
- Knowledge of cloud platforms (AWS, GCP, Azure) and modern data warehousing solutions (Snowflake, Redshift, BigQuery).
- Exposure to streaming‑industry specific data sets, subscriber churn analysis, and revenue optimization techniques.
- Familiarity with Agile project management tools (Jira, Confluence) and collaborative workflows.
Key Skills & Competencies for Success
- Analytical Thinking: Ability to dissect complex data problems, identify root causes, and propose actionable solutions.
- Technical Acumen: Mastery of SQL, data modeling, and scripting languages (Python/R) to build scalable pipelines.
- Business Insight: Understanding of subscription‑based revenue models, pricing strategies, and customer lifecycle management.
- Collaboration: Proven experience working cross‑functionally with product, engineering, finance, and compliance teams.
- Attention to Detail: Commitment to data accuracy, quality, and governance in a high‑volume environment.
- Adaptability: Comfortable navigating a fast‑changing landscape, prioritizing tasks, and delivering under tight deadlines.
Career Growth & Learning Opportunities
talentflow 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 data leaders across the organization.
- Continuous learning stipends for certifications, conferences, and online courses (e.g., AWS Certified Data Analytics, Google Cloud Professional Data Engineer).
- Opportunities to lead high‑visibility projects that influence product strategy and revenue outcomes.
- Pathways to advance into senior analytics, data engineering, or product management roles within talentflow’s expansive ecosystem.
Work Environment & Culture at talentflow
Our remote workforce is built on trust, autonomy, and a shared passion for storytelling. talentflow fosters a culture where:
- Innovation is celebrated – you are encouraged to experiment, share ideas, and iterate quickly.
- Inclusivity is a core value – diverse perspectives shape our products and decisions.
- Work‑life balance is respected – flexible schedules, generous paid time off, and mental‑health resources support your well‑being.
- Collaboration thrives – virtual “coffee chats,” cross‑team hackathons, and regular all‑hands meetings keep everyone connected.
Compensation, Perks, & Benefits
talentflow offers a comprehensive package designed to reward performance and support a healthy lifestyle:
- Competitive hourly wage ($20–$30) with quarterly performance bonuses.
- Full health, dental, and vision coverage for you and eligible dependents.
- 401(k) retirement plan with company match.
- Generous paid time off, parental leave, and sick days.
- Remote‑work stipend for home office setup, high‑speed internet, and ergonomic equipment.
- Access to wellness programs, including virtual fitness classes, meditation sessions, and employee assistance resources.
- Employee discount program for talentflow streaming subscriptions and partner services.
How to Apply – Take the Next Step in Your Data Career
If you are a reliable, detail‑oriented professional who thrives in a remote setting and is eager to make an impact on a global entertainment brand, we want to hear from you. Join talentflow’s data team and help shape the future of streaming experiences for millions of fans worldwide.
Ready to embark on this exciting journey? Click the link below to submit your application and start the conversation today.
Apply for this job