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About careerzynith – Pioneering Data‑Driven Experiences
careerzynith is a global leader in creating immersive, data‑powered experiences that delight millions of users every day. With a heritage rooted in storytelling and cutting‑edge technology, careerzynith blends creativity with analytics to transform raw data into actionable insights that drive business growth. Our Advanced Analytics & Optimization (AAO) team sits at the heart of this transformation, delivering scalable data platforms, sophisticated analytics solutions, and innovative data products that power everything from consumer‑facing applications to internal decision‑making engines. As a remote‑first organization, careerzynith empowers talent worldwide to collaborate, innovate, and shape the future of data‑driven entertainment.
Position Overview – Senior Data Optimization Analyst (Remote)
careerzynith is seeking a highly motivated Senior Data Optimization Analyst to join the AAO ecosystem. In this role, you will partner with cross‑functional AAO squads to design, implement, and maintain core data capabilities and solutions that can be leveraged across the AAO domain and other internal CIMA (Corporate Information Management & Analytics) groups. You will ensure that data and technology are delivered to partners in a timely, reliable, and scalable manner, while also serving as a key steward of the AAO analytics platform environment and the delivery pipeline for AAO analytical solutions.
Key Responsibilities
- Expand Data Ingestion Footprint: Identify, onboard, and integrate new data assets and consumer‑product data sources in alignment with the AAO data roadmap, ensuring comprehensive coverage and high‑quality ingestion.
- Develop Object‑Level Automation Policies: Create automated rules to detect and remediate data quality anomalies, enabling lineage tracking and validation from ingestion through delivery.
- Design End‑to‑End Data Mapping: Build robust data mapping for brand‑new data tables, coordinate hand‑offs to the development team for code review, and oversee production deployment.
- Implement Scalable ETL Pipelines: Architect and deploy ETL processes for internal DPEP (Data Platform Engineering & Production) business data, supporting downstream modeling and reporting workloads.
- Support Source Data Ingestion Governance: Provide guidance on source data ingestion best practices, schedule batch processes, and enforce governance standards.
- Collaborate Across Teams: Work closely with data engineers, data scientists, product owners, and business analysts to translate business requirements into technical specifications.
- Maintain Platform Health: Monitor performance, troubleshoot issues, and continuously improve the reliability and efficiency of the AAO analytics platform.
- Champion Agile Delivery: Participate in Scrum ceremonies, contribute to sprint planning, and help drive iterative delivery of data solutions.
- Document and Share Knowledge: Produce clear documentation, data dictionaries, and training materials to enable self‑service analytics across the organization.
Essential Qualifications
- Minimum 2 years of professional experience in data engineering, analytics, or a related field.
- Hands‑on experience building and deploying cloud‑native environments, preferably on AWS and/or Snowflake (1‑3 years).
- Proficiency with ETL tool design and data infrastructure technologies, including Python, R, Java, and SQL.
- Advanced SQL expertise with a track record of developing complex queries and performance tuning (2+ years).
- Programming experience in Python or R (1‑3 years).
- Demonstrated experience in data architecture, data warehousing, advanced analytics, or data science implementations such as data modeling and data cataloging.
- Data modeling experience using ERWin or other enterprise‑grade data modeling tools (2+ years).
- Data cataloging experience with tools like Informatica Metadata Manager, Alation, or comparable solutions (2+ years).
- Strong written and verbal communication skills, with the ability to translate complex analytics into clear business narratives for senior leadership.
Preferred Qualifications & Differentiators
- 3+ years of professional experience, demonstrating deeper expertise and leadership potential.
- Prior experience within a media company or analytics consulting firm, providing context on fast‑paced, content‑driven data environments.
- End‑to‑end product and delivery experience across all layers of data solutions—from source ingestion to downstream consumption.
- Proven ability to integrate technology components into a cohesive solution architecture that meets evolving business requirements.
- Experience delivering in‑team environments using Agile frameworks, including sprint planning, retrospectives, and continuous improvement.
- Familiarity with version control (Git), continuous integration (CI), and related DevOps tooling.
- Demonstrated unit testing and integration testing capabilities, ensuring high‑quality releases.
Educational Background
Bachelor’s degree or equivalent in Statistics, Mathematics, Computer Science, Engineering, Operations Research, or a related quantitative discipline.
Core Skills & Competencies
- Analytical Mindset: Ability to dissect complex data problems, identify root causes, and propose data‑driven solutions.
- Technical Acumen: Mastery of cloud platforms, data warehousing, ETL pipelines, and programming languages.
- Collaboration: Strong teamwork orientation, comfortable working with diverse stakeholders across business and technology.
- Communication: Clear articulation of technical concepts to non‑technical audiences, creating compelling presentations and reports.
- Adaptability: Thrive in a fast‑changing environment, quickly learning new tools and methodologies.
- Quality Focus: Commitment to testing, documentation, and best practices to ensure data integrity and platform stability.
Career Growth & Learning Opportunities
careerzynith invests heavily in the professional development of its employees. As a Senior Data Optimization Analyst, you will have access to:
- Mentorship from senior data architects and analytics leaders.
- Sponsored certifications in cloud platforms (AWS, Snowflake), data engineering, and advanced analytics.
- Opportunities to lead cross‑functional projects and influence the strategic direction of the AAO data platform.
- Rotational programs that allow exposure to product, engineering, and business teams across the global organization.
- Regular internal tech talks, hackathons, and knowledge‑sharing sessions to keep you at the forefront of industry trends.
Work Environment & Culture at careerzynith
careerzynith embraces a remote‑first culture that values flexibility, inclusivity, and creativity. Our teams are distributed across multiple time zones, yet we maintain a strong sense of community through virtual coffee chats, collaborative workspaces, and quarterly in‑person gatherings. Key cultural pillars include:
- Innovation: We encourage experimentation and reward bold ideas that drive business impact.
- Collaboration: Cross‑functional teamwork is at the core of our success; we celebrate diverse perspectives.
- Integrity: Ethical data handling and transparent communication are non‑negotiable.
- Well‑Being: Comprehensive wellness programs, mental‑health resources, and flexible schedules support a healthy work‑life balance.
Compensation, Perks & Benefits (General Overview)
careerzynith offers a competitive total rewards package designed to attract and retain top talent. While exact figures vary by location and experience, candidates can expect:
- Market‑aligned base salary with performance‑based bonuses.
- Comprehensive health, dental, and vision insurance plans.
- Retirement savings options, including 401(k) matching.
- Generous paid time off, parental leave, and holiday schedules.
- Professional development stipend and tuition assistance.
- Remote work allowance covering home office setup and internet costs.
- Wellness programs, virtual fitness classes, and mental‑health resources.
- Employee assistance programs, community involvement initiatives, and volunteer time off.
- Exclusive discounts on careerzynith merchandise and experiences.
How to Apply
If you are passionate about turning data into strategic assets, thrive in a collaborative, remote environment, and want to make an impact at a world‑class entertainment and technology leader, we want to hear from you. Submit your application through our careers portal, and include a resume and a brief cover letter highlighting your most relevant experience.
Apply Now
Join careerzynith – Shape the Future of Data‑Driven Storytelling
At careerzynith, your work will directly influence the experiences of millions of fans worldwide. By joining our AAO team, you become part of a mission‑driven organization that values curiosity, creativity, and continuous learning. Take the next step in your career and help us unlock the full potential of data—apply today!
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