We are seeking an analytical, detail-oriented Senior Corporate Data Analyst with hands-on experience in a rapid-growth SaaS company or in an analyst role in Private Equity, Growth Equity, investment banking focused on high-growth SaaS companies.
You will bring deep domain expertise in financial and operational data analysis- with a particular eye on SaaS metrics-to build robust analytical frameworks that influence strategic decision-making.
Youll work closely with senior leadership and cross-functional teams, applying your expertise to transform complex datasets into clear, actionable insights. This role requires a performance-first mindset, excellent collaboration skills, and a willingness to leverage AI and data tools as central to your workflow to continually generate business value.
What you will be responsible for:
Deliver a rigorous, insight-driven analysis of company metrics, using advanced data slicing, cohorting, and trend identification to surface the most favourable, decision-grade view of the business.
Apply your prior experience analyzing SaaS and high-growth company data to analytics and reporting efforts.
Develop and maintain detailed company performance modules capturing SaaS metrics such as cohorts, NRR, GRR, CAC, LTV, and unit economics.
Ingest, clean, and aggregate data from multiple internal and external sources, turning messy datasets into clear, impactful insights.
Partner with C-level executives, product, finance, and operations teams to provide data-driven analyses that inform strategic planning and operational improvements.
Translate complex data into compelling narratives and presentations tailored to both technical and non-technical stakeholders.
Continuously improve data workflows, dashboards, and models, fostering a data-driven culture.
Utilize experimentation and iterative approaches, incorporating AI tools and modern data analytics best practices to enhance outputs.
You will bring deep domain expertise in financial and operational data analysis- with a particular eye on SaaS metrics-to build robust analytical frameworks that influence strategic decision-making.
Youll work closely with senior leadership and cross-functional teams, applying your expertise to transform complex datasets into clear, actionable insights. This role requires a performance-first mindset, excellent collaboration skills, and a willingness to leverage AI and data tools as central to your workflow to continually generate business value.
What you will be responsible for:
Deliver a rigorous, insight-driven analysis of company metrics, using advanced data slicing, cohorting, and trend identification to surface the most favourable, decision-grade view of the business.
Apply your prior experience analyzing SaaS and high-growth company data to analytics and reporting efforts.
Develop and maintain detailed company performance modules capturing SaaS metrics such as cohorts, NRR, GRR, CAC, LTV, and unit economics.
Ingest, clean, and aggregate data from multiple internal and external sources, turning messy datasets into clear, impactful insights.
Partner with C-level executives, product, finance, and operations teams to provide data-driven analyses that inform strategic planning and operational improvements.
Translate complex data into compelling narratives and presentations tailored to both technical and non-technical stakeholders.
Continuously improve data workflows, dashboards, and models, fostering a data-driven culture.
Utilize experimentation and iterative approaches, incorporating AI tools and modern data analytics best practices to enhance outputs.
Requirements:
Bachelors degree in Finance, Economics, Business Analytics, Data Science, or related field.
4+ years of experience supporting Private Equity / Growth Equity / Investment Banking teams or similar, with a focus on analyzing high-growth SaaS companies.
Expert-level Excel skills and demonstrated ability to build complex financial and analytical models.
Experience with BI tools (Power BI, Google Looker Studio, Tableau) or programming languages (Python, R).
Proficiency in SQL or other data query languages is a plus.
Solid understanding of SaaS business models, core metrics, and growth levers.
Comfortable working with large, complex, and sometimes unstructured datasets to produce clarity and insights.
Experience translating data insights into clear and concise business presentations.
Strong analytical thinking, problem-solving aptitude, and rigorous attention to detail.
Near native\ Native level English required; Hebrew is optional.
Self-driven, able to thrive independently in a fast-paced, startup-like environment.
Bachelors degree in Finance, Economics, Business Analytics, Data Science, or related field.
4+ years of experience supporting Private Equity / Growth Equity / Investment Banking teams or similar, with a focus on analyzing high-growth SaaS companies.
Expert-level Excel skills and demonstrated ability to build complex financial and analytical models.
Experience with BI tools (Power BI, Google Looker Studio, Tableau) or programming languages (Python, R).
Proficiency in SQL or other data query languages is a plus.
Solid understanding of SaaS business models, core metrics, and growth levers.
Comfortable working with large, complex, and sometimes unstructured datasets to produce clarity and insights.
Experience translating data insights into clear and concise business presentations.
Strong analytical thinking, problem-solving aptitude, and rigorous attention to detail.
Near native\ Native level English required; Hebrew is optional.
Self-driven, able to thrive independently in a fast-paced, startup-like environment.
This position is open to all candidates.
