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About talentflow and the Future of Data-Driven Entertainment
talentflow is at the forefront of transforming how entertainment giants harness data to create unforgettable experiences. With a global footprint that spans streaming, live events, and immersive theme park attractions, talentflow empowers its partners to turn raw information into actionable insights. Our mission is simple: turn data into delight. By marrying cutting‑edge technology with a culture of curiosity, we help our clients deliver personalized, seamless experiences to millions of fans worldwide.
As part of this journey, talentflow is expanding its Advanced Analytics & Optimization (AAO) team. We’re looking for a highly motivated Remote Data Entry & Optimization Specialist who can help us scale our data ingestion, ensure impeccable quality, and drive continuous improvement across our analytics pipelines. If you thrive in a fast‑paced, collaborative environment and want to see your work directly influence global entertainment experiences, we want to hear from you.
Why talentflow?
- Impact at Scale – Your work will support millions of users across multiple platforms, from streaming services to theme park operations.
- Remote Flexibility – Work from anywhere while staying connected to a vibrant, distributed team.
- Immediate Onboarding – We’re ready to welcome you aboard and start making an impact from day one.
- Culture of Innovation – We celebrate experimentation, continuous learning, and open dialogue.
- Career Growth – Structured learning paths, mentorship, and cross‑functional projects accelerate your professional development.
Key Responsibilities
As a Remote Data Entry & Optimization Specialist, you will be a linchpin in our data ecosystem, ensuring that every piece of information is accurate, timely, and ready for analysis.
- Data Ingestion & Expansion – Lead initiatives to broaden our ingest footprint, incorporating new data assets and consumer product streams in line with the MSAO roadmap.
- Quality & Lineage Management – Design and deploy automated, object‑level policies that detect, correct, and document data quality issues, enabling end‑to‑end lineage tracking within 24 hours of ingestion.
- Mapping & Handoff – Build comprehensive data maps for new tables, coordinate with development teams for code review, and oversee smooth load implementation.
- ETL Design & Execution – Architect and implement robust ETL pipelines for internal DPEP business data, ensuring reliability for modeling and reporting.
- Production Support – Provide day‑to‑day support for source data ingestion, ETL processes, and batch scheduling, troubleshooting issues before they impact downstream analytics.
- Continuous Improvement – Identify bottlenecks, propose optimizations, and collaborate with data architects to refine our data infrastructure.
Essential Qualifications
- Professional Experience – Minimum 2 years in data analysis, data management, or a related domain.
- Cloud Proficiency – Hands‑on experience with AWS and/or Snowflake (1–3 years).
- ETL & Data Architecture – Solid understanding of ETL design, data infrastructure, and languages such as Python, R, Java, and SQL.
- Advanced SQL – Proven ability to craft complex queries and tune performance (2+ years).
- Programming – Comfortable coding in Python or R (1–3 years).
- Data Modeling & Cataloguing – Experience with ERWin or similar DM tools, and cataloguing tools like Informatica Metadata Manager or Alation (2+ years).
- Communication – Strong written and verbal skills; able to distill complex analytics into clear insights for senior stakeholders.
Preferred Qualifications
- Extended Experience – 3+ years in data analysis or management.
- Media/Analytics Background – Prior work in a media company or analytics consulting firm.
- Product Delivery – End‑to‑end product experience from data sourcing to consumption.
- Agile Methodologies – Comfortable delivering in Agile teams.
- Version Control & CI – Proficiency with Git, continuous integration, and related tooling.
- Testing Skills – Experience with unit and integration testing.
Education & Training
We require a bachelor’s degree (or equivalent) in Statistics, Mathematics, Computer Science, Engineering, or Operations Research. talentflow’s learning culture means you’ll have access to:
- On‑the‑job training modules covering cloud architecture, data governance, and advanced analytics.
- Mentorship from senior data architects and engineers.
- Annual budget for external certifications (e.g., SnowPro, AWS Certified Data Analytics).
Career Growth & Learning Opportunities
At talentflow, your career trajectory is a partnership. We invest in:
- Career Development Programs – Structured pathways to move from specialist to lead roles.
- Cross‑Functional Projects – Opportunities to collaborate with product, engineering, and business teams.
- Community & Volunteer Initiatives – Engage in local tech meetups, hackathons, and community outreach.
- Wellness & Work‑Life Balance – Flexible schedules, mental health resources, and wellness stipends.
- Financial Planning – Comprehensive retirement plans, weekly pay options, and tuition assistance.
- Exclusive talentflow Perks – Access to partner entertainment experiences, discounts on streaming services, and early‑access to new products.
Work Environment & Culture
talentflow thrives on a culture that blends innovation with empathy. Our core values include:
- Respect & Inclusion – Every voice matters; we celebrate diverse perspectives.
- Continuous Learning – We encourage curiosity and provide resources for skill growth.
- Collaboration – Cross‑team communication is key; we use modern collaboration tools to stay connected.
- Transparency – Open communication channels keep everyone informed about company goals and progress.
Compensation, Perks, and Benefits
While specific figures vary by role and location, talentflow offers a competitive package that includes:
- Base salary aligned with industry standards.
- Health, dental, and vision insurance.
- Paid time off (vacation, sick leave, personal days).
- Retirement savings plan with company match.
- Weekly or bi‑weekly pay options.
- Wellness stipend and mental health resources.
- Annual tuition reimbursement for relevant courses.
- Exclusive discounts on talentflow partner products and services.
- Remote work stipend covering home office setup.
How to Apply
If you’re ready to bring your data expertise to a world‑changing entertainment partner, we’d love to hear from you. Submit your resume and a brief cover letter outlining why you’re the perfect fit for talentflow’s AAO team. Join us in turning data into magic.
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