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About skillspath
skillspath is a global leader in entertainment and media innovation, delivering unforgettable experiences to millions of fans worldwide. With a legacy that spans decades, skillspath continuously reimagines storytelling through cutting‑edge streaming platforms, immersive attractions, and next‑generation technology. Our mission is to blend creativity with data‑driven insight, ensuring every guest interaction is magical, personalized, and impactful. As a remote‑first organization, skillspath empowers talent from every corner of the world to collaborate, innovate, and shape the future of entertainment.
Why This Role Is a Game‑Changer
We are seeking a Lead Data Analyst to join our Business Operations team. This is a unique opportunity for an ambitious, entry‑level professional who is passionate about turning raw data into strategic decisions that drive business growth. You will work directly with cross‑functional partners, influence product strategy, and help build a single source of truth for performance metrics across skillspath’s streaming services and digital products.
Key Responsibilities
- Business Performance Reporting & Analysis: Serve as the primary liaison for internal stakeholders, translating complex data sets into clear, actionable insights that support strategic decision‑making.
- Metrics Design & Tooling Strategy: Lead the creation of robust, repeatable measurement frameworks and reporting solutions for our streaming platforms.
- BI Development: Build and maintain high‑performance ETL pipelines, dimensional models, and visually compelling dashboards using tools such as Looker, Tableau, and Power BI.
- Single Source of Truth (SSOT) Initiative: Partner with the Product team to define, standardize, and govern key performance indicators (KPIs) that reflect product health and user engagement.
- ETL & Metric Architecture: Own end‑to‑end metric lifecycle—from requirement gathering and data modeling to pipeline implementation and long‑term scalability.
- Collaboration & Communication: Work closely with product managers, engineers, and senior leadership to understand business needs, prioritize analytics projects, and deliver data‑driven recommendations.
- Mentorship & Knowledge Sharing: Guide junior analysts and data engineers, fostering a culture of continuous learning and best‑practice adoption.
Essential Qualifications
- Education: Bachelor’s degree or higher in Computer Science, MIS, Statistics, Mathematics, Finance, or a related field.
- Analytical Experience: Minimum 7 years of professional experience in data analysis or business intelligence, with a focus on metric design and reporting.
- Technical Proficiency: Strong command of SQL; hands‑on experience with SparkSQL, Hive, or similar big‑data query languages.
- Data Warehouse Expertise: Direct experience working with OLAP databases such as Snowflake or Redshift.
- ETL Development: Proven ability to design, build, and maintain complex ETL processes that feed reliable analytics dashboards.
- Programming Skills: Proficiency in Python or R for statistical analysis and data manipulation.
- Communication Skills: Excellent written and verbal communication abilities, capable of presenting technical concepts to non‑technical audiences.
- Project Management: Demonstrated success in managing timelines, deliverables, and stakeholder expectations across multiple projects.
Preferred Qualifications & Personal Attributes
- Demonstrated sense of humor and the ability to bring levity to high‑pressure situations.
- Passion for entertainment, media, or streaming industries, with a keen interest in how data shapes storytelling.
- Experience with data visualization tools such as Looker, Chartio, or similar platforms.
- Track record of delivering measurable business impact through data‑driven initiatives.
- Ability to thrive in a fast‑paced, remote‑first environment while maintaining high levels of self‑motivation.
Core Skills & Competencies
- Analytical Thinking: Ability to dissect complex problems, identify root causes, and propose data‑backed solutions.
- Detail Orientation: Meticulous attention to data quality, integrity, and documentation.
- Collaboration: Strong team player who can build trust and influence across diverse functional groups.
- Adaptability: Comfortable navigating ambiguous requirements and evolving business priorities.
- Continuous Learning: Commitment to staying current with emerging analytics technologies and industry best practices.
Career Growth & Learning Opportunities
skillspath invests heavily in the professional development of its employees. As a Lead Data Analyst, you will have access to:
- Mentorship programs with senior data scientists and executives.
- Sponsored certifications (e.g., AWS Certified Data Analytics, Looker LookML).
- Internal hackathons and innovation labs focused on emerging technologies such as AI‑driven recommendation engines.
- Opportunities to transition into senior leadership roles, product management, or specialized analytics tracks.
Work Environment & Culture
At skillspath, we celebrate diversity, creativity, and curiosity. Our remote‑first culture is built on trust, flexibility, and a shared passion for storytelling. Employees enjoy:
- Flexible work hours that accommodate global time zones.
- Regular virtual team‑building events, wellness workshops, and community outreach initiatives.
- An inclusive environment where every voice is heard and ideas are welcomed.
- State‑of‑the‑art collaboration tools that keep remote teams connected and productive.
Compensation, Perks & Benefits
skillspath offers a competitive total rewards package designed to support your financial, health, and personal goals:
- Base Salary: $70,000 – $80,000 per year, commensurate with experience and location.
- Performance Bonuses: Annual incentive plans tied to individual and company performance.
- Equity Opportunities: Stock‑based compensation to share in skillspath’s long‑term growth.
- Health & Wellness: Comprehensive medical, dental, and vision coverage, plus mental‑health resources.
- Retirement Savings: 401(k) plan with company match.
- Learning Stipends: Annual budget for courses, conferences, and certifications.
- Paid Time Off: Generous vacation policy, holidays, and sick leave.
- Remote Work Support: Home office stipend, high‑speed internet reimbursement, and ergonomic equipment allowance.
How to Apply
If you are ready to transform data into stories that captivate audiences worldwide, we want to hear from you. Follow these steps to submit your application:
- Prepare your résumé, a cover letter highlighting relevant experience, and copies of your degree certificates.
- Gather a recent passport‑size photograph and a digital signature file.
- Visit the official skillspath careers portal and complete the online application form.
- Upload the required documents and click “Submit.” You will receive a confirmation email with next steps.
Join skillspath Today
At skillspath, your analytical expertise will directly influence the experiences of millions of fans, shaping the future of entertainment. We value curiosity, integrity, and a collaborative spirit. Take the next step in your career—apply now and become part of a team that turns data into magic.
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