Staff Analytics Engineer

Staff Analytics Engineer - United Arab Emirates

This is a high-impact individual contributor role designed for a seasoned analytics expert who thrives on building scalable, reliable data systems that empower entire organizations.

You will play a critical role in establishing a unified data foundation, enabling teams across product, finance, marketing, and revenue to make faster, data-driven decisions with confidence.

Working in a fully remote, globally distributed environment, you'll collaborate with cross-functional stakeholders to transform complex business logic into clear, trustworthy data models.

The role blends deep technical expertise with strong communication skills, emphasizing documentation, clarity, and long-term scalability.

You will help shape the future of data practices by introducing standards, improving performance, and driving company-wide adoption of consistent metrics.

This position is ideal for someone who enjoys solving ambiguous problems and turning them into structured, impactful systems.

Accountabilities

Design and implement a scalable, reliable analytics architecture that serves as the single source of truth across all business functions

Own and evolve the data modeling layer, ensuring consistency, performance, and maintainability across key domains such as finance, product, and marketing

Lead the definition and standardization of canonical metrics, aligning stakeholders around shared, auditable business logic

Audit and refactor existing data models to reduce inefficiencies, eliminate inconsistencies, and improve data quality

Collaborate cross-functionally to translate business requirements into robust data solutions and reporting frameworks

Drive experimentation and continuous improvement through performance optimization, testing, and documentation best practices

Enable self-service analytics by building systems and documentation that empower teams to explore and trust data independently

Mentor and influence data practices across the team, raising standards for analytics engineering and fostering a culture of rigor

Requirements

7-10+ years of experience in analytics engineering, data engineering, or a related field, including time at a senior or staff level

Advanced proficiency in SQL, with a strong focus on performance optimization, readability, and maintainability

Deep experience with data warehousing technologies, particularly Redshift, including performance tuning and architectural design

Strong expertise in dbt, including modular design, testing strategies, and scalable project organization

Proven ability to build and maintain business-critical data models, including revenue recognition, churn, and lifecycle metrics

Experience working in SaaS environments with complex subscription and product analytics requirements

Excellent written communication skills, with the ability to document decisions, trade-offs, and architectural designs clearly

Strong stakeholder management skills, with the ability to explain complex data concepts to non-technical audiences

Analytical mindset with experience resolving ambiguous or contested metric definitions

High level of autonomy, ownership, and systems thinking, with a proactive approach to problem-solving

Benefits

Competitive compensation package including a base salary of $198,000, equity, and profit sharing

Fully remote work environment with global team collaboration

Comprehensive healthcare coverage, including medical, dental, and vision support

Retirement plan with employer contribution (401k with match)

Generous paid time off, including vacation days, holidays, sick leave, and mental health days

Paid parental leave, childcare support, and family-focused benefits

Annual learning and development budget to support professional growth

Home office and equipment allowance with regular refresh cycles

Wellness and inclusive benefits, including gender-affirming support

Paid sabbatical opportunities and company-wide seasonal breaks

Regular team retreats and opportunities for in-person or virtual connection

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