Staff Product Analyst (Remote - EMEA or Namer)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Staff Product Analyst in EMEA, North America.

We are seeking an experienced and strategic Staff Product Analyst to drive data-informed decisions and optimize product performance at scale. In this role, you will work closely with product, engineering, and AI teams to analyze user behavior, define product KPIs, and deliver actionable insights that improve customer experience and business outcomes. You will mentor junior analysts, collaborate on advanced data modeling, and contribute to the design of BI solutions. The ideal candidate thrives in a fast-paced, collaborative environment, has a strong technical skillset, and can translate complex datasets into clear, compelling recommendations for both technical and non-technical stakeholders. This is an opportunity to shape the product data strategy while influencing key decisions across multiple teams.

Accountabilities:

• Partner with product managers, UX teams, and leadership to gather, analyze, and interpret product usage data across the customer journey.
• Develop, maintain, and optimize BI dashboards and visualizations using tools such as Tableau.
• Collaborate with engineering teams on data instrumentation and collection methodologies to ensure high-quality insights.
• Conduct in-depth analyses, including A/B testing and adoption studies, to inform product decisions.
• Mentor and guide junior analysts, providing actionable feedback to improve analysis quality and impact.
• Translate complex datasets into clear, actionable insights for stakeholders at all levels.
• Work with Enterprise Data teams to model and structure data for reporting, forecasting, and strategic initiatives.

• Bachelor’s or advanced degree in Data Science, Statistics, Computer Science, or a related field.
• Extensive experience (typically 5+ years) in product analytics, business intelligence, or data analysis roles.
• Expert-level proficiency in SQL for data extraction, transformation, and analysis.
• Deep experience in BI development and visualization tools, especially Tableau.
• Proven experience collaborating with product, engineering, and analytics teams on data creation, instrumentation, and modeling.
• Strong experience conducting and analyzing A/B tests and experiments.
• Proficiency in Python for data analysis is highly desirable.
• Excellent problem-solving, critical thinking, and communication skills.
• Ability to mentor and guide junior team members, fostering data literacy across the organization.
• Bonus: experience working with AI-powered products or platforms and advanced analytics techniques.

• Competitive salary and performance-based incentives.
• Fully remote work across EMEA and North America.
• Flexible work hours and a supportive, collaborative team environment.
• Opportunities to lead high-impact analyses and influence product strategy.
• Mentorship and professional development for career growth.
• Inclusive, diverse, and innovative workplace culture.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

• 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
• 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
• 🎯 The top 3 candidates with the highest match are automatically shortlisted.
• 🧠 When necessary, our human team may perform additional review to ensure no strong candidate is overlooked.

The process is transparent, skills-based, and unbiased, focusing solely on your fit for the role. Once the shortlist is completed, it is shared with the hiring company, who then determines next steps such as interviews or additional assessments.

Thank you for your interest!

#LI-CL1