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Senior Business Operations & Data Analyst

bookmap • Israel
Remote
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AI Summary

Drive data-informed decision-making by owning the BI roadmap, defining company-wide metrics, and generating executive-level insights. This role requires deep experience in B2C/SaaS environments, strong analytical skills, and the ability to translate complex data into actionable strategies. Key responsibilities include strategic analysis, executive communication, business performance ownership, and data infrastructure leadership.

Key Highlights
Own BI roadmap, company-wide business metric definitions, dashboard strategy, and reporting quality.
Drive data-informed decision-making by partnering with Finance, Product, Marketing, and Executive Leadership.
Translate ambiguous business questions into structured analytical frameworks and actionable outputs.
Key Responsibilities
Identify trends, anomalies, and hidden opportunities within complex datasets, proactively surfacing insights to senior leadership.
Conduct deep-dive analyses on key strategic topics including pricing, retention, growth, and unit economics.
Translate ambiguous business questions into structured analytical frameworks and actionable outputs.
Synthesize complex data into clear, compelling narratives tailored for executive and cross-functional audiences.
Prepare and deliver high-impact presentations and reports to support decision-making at the C level management.
Act as a trusted advisor by providing data-backed recommendations that influence company strategy.
Own the definition, documentation, and governance of key business metrics, ensuring consistency across dashboards, reports, and executive presentations.
Establish a single source of truth for company Key SaaS and B2C KPIs, including ARR Churn, LTV, CAC, NRR.
Drive a deep understanding of customer behavior, lifecycle, and funnel performance across B2C workflows.
Own business logic, semantic definitions, reporting models, and dashboard-ready data requirements, while partnering with BI developers/data engineers on DWH structure, integrations, pipelines, and technical implementation.
Champion best practices in data governance, accuracy, and consistency.
Own the BI dashboard portfolio: define priorities, improve usability, retire outdated reports, and ensure dashboards answer real business questions.
Identify opportunities to automate reporting and analytical processes, improving efficiency and scalability.
Leverage modern tools and AI-driven approaches to enhance analytics capabilities and decision-making.
Technical Skills Required
SQL Business Intelligence Data Analysis
Benefits & Perks
Fully remote work environment
Paid annual leave and sick leave
Equipment and software reimbursement
Opportunities for professional development
Language courses and training programs
Nice to Have
Experience with Looker
Experience with modern data stacks
Knowledge and experience with Trading/Fintech environments and applications
Experience leading a BI, analytics, or data team
Experience driving process automation
Exposure to AI tools and workflows

Job Description


We are seeking a highly experienced analytical and strategic Business Operations & Data Analyst to join our team. This role is pivotal in driving data-informed decision-making across the organization, partnering closely with Finance, Product, Marketing, and Executive Leadership. The successful candidate will own the BI roadmap, company-wide business metric definitions, dashboard strategy, reporting quality, and executive-level insight generation.

The ideal candidate brings deep experience in high-tech B2C and SaaS environments, with a strong grasp of core subscription metrics and business models.


Key Responsibilities

  • Strategic Analysis & Insight Generation
  • Identify trends, anomalies, and hidden opportunities within complex datasets, proactively surfacing insights to senior leadership.
  • Conduct deep-dive analyses on key strategic topics including pricing, retention, growth, and unit economics.
  • Translate ambiguous business questions into structured analytical frameworks and actionable outputs.
  • Executive Communication & Storytelling
  • Synthesize complex data into clear, compelling narratives tailored for executive and cross-functional audiences.
  • Prepare and deliver high-impact presentations and reports to support decision-making at the C level management.
  • Act as a trusted advisor by providing data-backed recommendations that influence company strategy.
  • Business Performance & Metrics Ownership
  • Own the definition, documentation, and governance of key business metrics, ensuring consistency across dashboards, reports, and executive presentations
  • Establish a single source of truth for company
  • Key SaaS and B2C KPIs, including ARR Churn, LTV, CAC, NRR
  • Drive a deep understanding of customer behavior, lifecycle, and funnel performance across B2C workflows.
  • Data Infrastructure & Business operations Leadership
  • Own business logic, semantic definitions, reporting models, and dashboard-ready data requirements, while partnering with BI developers/data engineers on DWH structure, integrations, pipelines, and technical implementation. Champion best practices in data governance, accuracy, and consistency.
  • Automation & Innovation
  • Own the BI dashboard portfolio: define priorities, improve usability, retire outdated reports, and ensure dashboards answer real business questions 
  • Identify opportunities to automate reporting and analytical processes, improving efficiency and scalability.
  • Leverage modern tools and AI-driven approaches to enhance analytics capabilities and decision-making.


Requirements

  • 7+ years of experience in Business Operations, Data Analytics, or similar roles within a high-tech, B2C and/or SaaS environment.
  • Strong understanding of subscription-based business models and core SaaS metrics
  • Proven ability to conduct end-to-end analyses, from problem framing to delivering executive-ready insights.
  • Expertise in BI tools (Looker preferred; Tableau or similar platforms required).
  • Advanced proficiency in SQL and data modeling; experience with modern data stacks is a plus.
  • Demonstrated ability to translate complex data into clear business insights and influence stakeholders.
  • Knowledge and experience with Trading/Fintech environments and applications is an advantage  
  • Experience leading a BI, analytics, or data team, including prioritization, stakeholder management, and quality ownership  is a strong advantage.
  • Experience driving process automation; exposure to AI tools and workflows is a strong advantage.
  • Strong attention to detail and a consistently high bar for accuracy and quality.
  • Professional-level English (written and verbal) is required.


What We Offer

  • Fully remote work environment
  • Paid annual leave and sick leave
  • Equipment and software reimbursement, with flexible options to suit your needs
  • Opportunities for professional development, including language courses and training programs
  • A collaborative, international team and a supportive work culture



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