About careerzynith
At careerzynith, we believe that the future of aviation is being written right now — and the people who understand data best will help author the next great chapter. careerzynith is a forward-thinking organization that operates much like a global airline: connecting customers, communities, and continents through a shared purpose. Our vision — Connecting People, Uniting the World — is more than a slogan. It is a daily commitment to delivering world-class experiences, building inclusive workplaces, and creating positive impact in every region we serve.
With operations that span across continents and a workforce that reflects the diversity of the customers we serve, careerzynith recognizes that data is the engine that powers smarter decisions, more personalized experiences, and stronger financial performance. We are investing aggressively in modern analytics platforms, cloud-based data infrastructure, and intelligent automation to ensure that our digital channels, loyalty programs, and personalization engines operate at peak efficiency. As we continue to grow and expand our remote-friendly talent footprint, we are actively hiring thousands of professionals across the United States who are ready to take the industry to new heights.
The Digital Technology, Personalization, and Loyalty Analytics team at careerzynith sits at the heart of this transformation. We design, build, and maintain large-scale technology solutions that combine innovative architecture, deep data analytics, and digital-first thinking. If you are a leader who thrives on turning complex information into clear, actionable strategy, this is the opportunity you have been waiting for.
Position Summary
careerzynith is seeking an experienced and highly motivated Senior Data Analytics Manager to join our Digital Channels, Personalization, and Loyalty technology organization. This is a fully remote, full-time position based in the United States, reporting to senior leadership within the digital product analytics function. In this role, you will lead a talented team of analysts, partner closely with the Digital Operations Center (DOC), and serve as a strategic thought partner to product, engineering, and executive stakeholders across the organization.
As the Data Analytics Manager, you will own the end-to-end lifecycle of data within your domain — from sourcing, modeling, and analysis, all the way through to executive-level storytelling and recommendations. Your work will directly influence operational excellence, platform reliability, customer personalization strategies, and the long-term scalability of some of the most important digital products in the company. This is a rare opportunity to combine deep technical expertise, leadership, and strategic impact within a high-visibility team.
Key Responsibilities
- Build Strategic Partnerships: Develop and maintain strong, collaborative relationships with key stakeholders across the Digital Channels, Personalization, and Loyalty technology teams, as well as the Digital Operations Center (DOC).
- Lead and Mentor a High-Performing Team: Manage, coach, and inspire a team of data analysts and business intelligence professionals. Set a clear vision, define goals, and provide ongoing support to ensure the team consistently delivers high-impact work.
- Translate Data into Actionable Insights: Interpret data from multiple sources, identify patterns and trends, and reframe findings into meaningful insights that improve Operational Excellence (OE) and drive measurable business outcomes.
- Define and Track Key Metrics: Establish metrics and KPIs for application performance, error rates, and digital experience quality. Identify leading indicators and create dashboards that allow stakeholders to monitor performance in real time.
- Identify Application Enhancements: Work closely with product and engineering teams to surface opportunities for platform improvements, performance optimization, and greater scalability.
- Champion Process Improvements: Identify, design, and implement internal process improvements — from data ingestion to reporting — that increase efficiency, accuracy, and analytical rigor across the team.
- Advanced Data Modeling and Coding: Lead the design, development, and maintenance of robust data models. Write efficient SQL and contribute to data engineering initiatives where required.
- Executive-Level Communication: Prepare and deliver polished presentations for audiences ranging from working teams to senior directors, Managing Directors (MD), and Vice Presidents (VP). Translate complex analyses into clear, compelling narratives.
- Cross-Functional Collaboration: Partner with stakeholders across the enterprise to understand business needs, design measurement frameworks, and connect business processes with quantifiable platform outcomes.
- Independently Manage Multiple Projects: Balance several concurrent initiatives with a strong results orientation, while maintaining the highest standards of quality and accuracy.
Qualifications
Required Qualifications
- Education: Bachelor's degree in a quantitative field such as Computer Science, Mathematics, Statistics, Economics, Engineering, or Operations Research.
- Professional Experience: 4+ years of experience working as a Data Analyst, Business Intelligence Engineer, or in a similar analytical role.
- Leadership Experience: 1+ years of management experience (3+ years preferred), with at least 2 years of experience working within a Fortune 500 organization.
- Executive Communication: Demonstrated ability to build and deliver presentations to colleagues and senior leaders at the MD and VP level, with the confidence to interact with all levels of management.
- Leadership Presence: Proven team leadership skills, including the ability to articulate a vision, inspire the team toward that vision, and provide the support needed to achieve it.
- BI Tool Expertise: Master-level experience with business intelligence dashboarding tools such as Power BI, Tibco Spotfire, or comparable platforms — with a portfolio of rich, impactful dashboards.
- Advanced Excel Skills: Deep proficiency in Microsoft Excel, including pivot tables, advanced formulas, and data modeling.
- E-Commerce Analytics: Experience analyzing e-commerce platforms across web, mobile application, and loyalty domains.
- Data Handling: Demonstrated expertise in handling large datasets and relational databases, including both SQL and NoSQL environments.
- Business Acumen: Strong ability to study and understand business needs, design data and technology metrics that link business processes with measurable platform outcomes, and translate ambiguous goals into clear objective settings.
- Advanced SQL: High-level SQL skills, including complex joins, window functions, query optimization, and data modeling.
- Problem Solving: Strong critical thinking and problem-solving skills, with a demonstrated ability to use data to diagnose and address complex business issues.
- Curiosity and Initiative: A genuine desire to dig into complex datasets, explore the "why" behind the numbers, and uncover hidden insights.
- Communication Skills: Outstanding written, verbal, and presentation skills, with the ability to tailor messaging for both technical and non-technical audiences.
- Independence: Self-starter mentality with the ability to work independently and manage several concurrent projects, all with a focus on outcomes.
- Work Authorization: Must be legally authorized to work in the United States for any employer without sponsorship.
Preferred Qualifications
- Master's degree in a quantitative or analytical field.
- Industry certifications such as Google Data Analytics Professional Certificate, Power BI Data Analyst Associate, AWS Certified Data Analytics, Enterprise Data Warehouse certifications, Palantir certifications, or client-side performance metrics tools (e.g., Quantum Metrics).
- Hands-on experience with monitoring and observability platforms such as Datadog, AppDynamics (AppD), or Kibana.
- Experience with enterprise monitoring systems and large-scale alerting frameworks.
- Experience with Palantir Foundry and Microsoft SQL Server Management Studio (SSMS).
- Experience with AWS data services, including Redshift, QuickSight, and Athena.
- Experience with BigQuery, Quantum Metrics, and Akamai.
- Experience with text analytics, natural language processing (NLP), and machine learning (ML) techniques.
- Prior data engineering experience, including building and maintaining data pipelines.
- Working knowledge of Python, Apache Spark, or R.
- Experience working in Agile environments using continuous integration and continuous delivery (CI/CD) practices.
Skills and Competencies for Success
- Analytical Rigor: Ability to structure ambiguous problems, develop hypotheses, and drive rigorous analyses that lead to actionable conclusions.
- Storytelling with Data: Skilled at weaving data, visuals, and narrative together to influence decision-making at the highest levels of the organization.
- Technical Depth: Deep SQL expertise and familiarity with modern data stacks, cloud platforms, and BI tools.
- Leadership and Influence: Comfortable leading through influence, mentoring junior talent, and partnering across organizational boundaries.
- Adaptability: Thrives in a fast-paced, evolving environment where priorities shift and innovation is the norm.
- Customer Centricity: Deeply committed to understanding the customer experience and using data to elevate it.
Compensation, Perks, and Benefits
At careerzynith, we believe in rewarding talent with a comprehensive and competitive benefits package designed to support your financial well-being, personal health, and professional growth. While the final compensation for this role is commensurate with experience, the typical annual salary range for this position is approximately $35 – $45 per hour equivalent, depending on qualifications, location, and prior leadership experience. We regularly benchmark our compensation to ensure we remain a top employer in the industry.
In addition to a competitive base pay, our U.S. team members enjoy a robust benefits package that may include:
- Comprehensive medical, dental, and vision insurance plans
- Generous paid time off (PTO) and company-observed holidays
- Parental leave for new parents
- 401(k) retirement plan with company match
- Travel-related perks and privileges (subject to eligibility)
- Employee-led Business Resource Groups (BRGs) that foster community, belonging, and professional networking
- Tuition reimbursement and continuous learning programs
- Access to cutting-edge tools, technologies, and platforms
- A fully remote work environment with flexible scheduling
Work Environment and Company Culture
careerzynith is proud to be an equal opportunity employer. We are deeply committed to building a workforce that reflects the diversity of the customers and communities we serve. We recruit, hire, train, compensate, and promote employees based on merit, qualifications, and performance — without regard to race, religion, color, national origin, gender identity, sexual orientation, physical ability, age, veteran status, or any other characteristic protected by applicable law.
Our culture is defined by collaboration, curiosity, and a relentless focus on the customer. We believe that inclusion drives innovation, and that the best ideas can come from anywhere. As a remote team member, you will be fully integrated into our collaborative culture through regular virtual team events, leadership touchpoints, cross-functional working sessions, and company-wide gatherings. Whether you are working from your home office, a co-working space, or anywhere in between, you will feel connected to the mission and to your colleagues.
Career Growth and Learning Opportunities
When you join careerzynith, you are joining a company that invests deliberately in your growth. We provide:
- A clear career pathing framework that supports progression from senior individual contributor to director-level leadership
- Sponsorship of advanced certifications and continuing education
- Internal mobility programs that allow you to explore new teams, functions, and geographies
- Mentorship from senior leaders and exposure to enterprise-level strategy
- A culture of feedback, learning, and continuous improvement
We want careerzynith to be the place where you do the most meaningful work of your career — and we will give you the tools, the support, and the runway to make it happen.
How to Apply
If you are a seasoned data leader with a passion for aviation, technology, and customer experience, we want to hear from you. This is your opportunity to join a dynamic, mission-driven team at careerzynith and play a meaningful role in shaping the future of digital experiences in one of the most exciting industries in the world. Bring your expertise, your vision, and your drive — and let’s build something extraordinary together.
Apply today to start your journey with careerzynith.
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