This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Staff Analytics Engineer in Ireland.

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.

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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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How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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Staff Analytics Engineer

Benefits

Job Description