Senior Data Analyst

About the company:

Gloat puts people and companies in motion. Our Agile Workforce Operating System is helping the world's most renowned enterprises become dynamic organizations, future-fit for any eventuality, and poised for continuous growth and innovation in today's ever-changing economic climate.

We deliver AI-powered intelligence, infrastructure, and applications that enable organizations to effectively tackle change with agility, unlock capacity and productivity, and reduce workforce risk. Today we support industry leaders around the world including HSBC, Spotify, Nestle, Standard Chartered Bank, Schneider Electric, and many more.

Life at Gloat:

Gloat is a revolutionary startup with a global workforce. We have offices in Tel Aviv, New York City and London and work with customers around the globe. We value collaboration, innovative thinking, and curiosity and we’re looking for bright, driven, and passionate people to grow with us. If you care about empowering businesses and people to reach their potential, you’re in for a fun ride.

Who we’re looking for:

We are seeking a highly skilled Senior Product Analyst to lead our product analytics function end-to-end. This role is perfect for a strategic thinker who can bridge the gap between data insights and business impact, driving product excellence through analytical rigor and clear communication. The ideal candidate will own the analytics function from data collection to strategic recommendations, transforming complex data into actionable business outcomes.

Requirements:

Minimum of 6 years of experience in product analytics or related analytical roles, demonstrating a strong track record of success.
Significant experience in the B2B or B2B2C SaaS domain, providing a competitive advantage.
Technical Skills: Proficiency in advanced SQL querying, with hands-on experience in using DBT for data transformation and modeling.
Business Intelligence Tools: Expertise in at least one mainstream BI tool, such as Tableau, Power BI, Looker, or QuickSight.
Strong analytical skills with the ability to extract and interpret meaningful insights from complex data sets.
Excellent communication abilities to effectively translate technical insights into tangible business recommendations.
Proven experience in leading analytical initiatives with the capability to influence and engage cross-functional stakeholders.
Thorough understanding of Sales-Led Growth strategies: adept in identifying and analyzing engagement patterns indicative of renewal risks and upselling opportunities.

(DO NOT CHANGE)

At Gloat, we believe that building the most important company in the history of human capital begins with having a diverse and inclusive workforce ourselves. This means that we look for individuals who can bring unique strengths, perspectives, skills, and backgrounds to our existing teams. Gloat is proud to be an Equal Opportunity Employer, and does/will not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.

Responsibilities:

Lead the development and shaping of the product roadmap by leveraging data-driven insights that align initiatives with business goals, utilizing the OKR framework effectively.
Conduct in-depth analyses to identify user pain points, address feature gaps, and discover opportunities for product enhancement and optimization.
Empower product teams with the creation of frameworks, dashboards, and processes for independent performance monitoring.
Collaborate with the GTM teams to identify upsell opportunities through detailed user behavior and product usage analysis.
Build and implement customer health scoring models to evaluate renewal readiness and identify growth opportunities.
Translate complex analytical findings into actionable recommendations to optimize product performance and drive business development.
Develop and maintain a state-of-the-art analytics infrastructure using SQL, DBT, and BI tools for seamless data-driven insights.
Lead the implementation of advanced product analytics platforms to improve user behavior tracking and evaluate product performance effectively.