Data Analyst

Reposted 9 Days Ago
Be an Early Applicant
Tel Aviv, ISR
Hybrid
Mid level
Artificial Intelligence • Productivity • Sales • Software
Power the most ambitious teams.
The Role
Own end-to-end revenue data lifecycle: define and maintain Revenue KPIs and single source of truth, design scalable data models, build automated workflows and interactive data apps, ensure data integrity, and produce clear documentation for stakeholders.
Summary Generated by Built In

At monday.com, we help teams get more work done. We are the best AI work platform that empowers teams to automate, build, and scale their impact end-to-end with tools that actually execute the work for you. With over $1B in ARR, 250,000+ customers, and a global team, we’re serious about building a product people love to use and giving our employees the same ownership and flexibility to shape the way the world works.

monday.com is seeking an experienced, versatile analyst to join the CRO (Revenue) analytics team. This is a senior role with pivotal, company-wide impact and high visibility. You will assume ownership of key data reporting and research flows covering monday.com’s core agendas. Your contributions will directly impact our business strategy, strategic cross-company processes like planning and target setting, and play a critical role in optimizing monday.com's growth.

About The Role
  • Engage with CRO leadership to facilitate data-driven decision-making, and lead planning data processes, striving for standardization and scale.

  • Research diverse, complex business opportunities: Utilize data from various sources and domains, alongside analytical expertise, to enhance visibility, identify actionable insights, and conceptualize and track relevant metrics for improvement. Examples include the company's core business cycle, sales efficiency, retention, and many others.

  • Actively contribute to cross-domain efforts with departments such as Product and Marketing, ensuring processes are measured and optimized to meet the Revenue organization's strategic goals.

  • Develop compelling presentations and reports that translate data into comprehensive, actionable narratives, enabling senior stakeholders to optimize business performance within their domains.

  • Champion high-quality data practices across the organization, mentoring and guiding junior colleagues, setting standards through best practices, and significantly contributing to monday.com's growing data community.

  • Define and implement impactful KPIs that align with revenue goals and drive measurable business results.

    An excellent candidate will:

    • Possess strong business acumen, including familiarity with common methodologies and frameworks in at least two of the following domains: Marketing, Product, or Business Analytics.

    • Exhibit exceptional analytical and technical skills, capable of end-to-end data flow ownership: problem definition, data collection, modeling, analysis, and reporting.

    • Communicate highly effectively, capable of identifying and extracting concise bottom lines, providing appropriate context, and creating compelling visualizations. Experience collaborating with executive stakeholders is a significant advantage.

    • Proven capability to foster strong working relationships with colleagues in various global offices.

    • Thrive in cross-functional environments, inspiring trust and fostering successful partnerships and processes.

    • Demonstrate creative analytical thinking: the ability to grasp the essence of open-ended questions and provide the analytical context to drive data-driven, impactful decisions.

    • Be proactive: Identify and pursue analytical opportunities to drive significant business impact.

    • Leverage AI-driven tools to enhance analytical capabilities, generate significant business impact, and integrate them into practical workflows beyond buzzwords.

 
Your Experience & Skills
  • 4+ years of industry experience as a business analyst, with strong leadership engagement. This is an ideal role for individual contributors seeking high impact without the complexities of a managerial position (experience at SLG companies is a plus).

  • Demonstrated record of conceiving, designing, and deploying successful data analytics projects that drove significant business impact (interesting failures are also welcome).

  • Excellent SQL skills; familiarity with at least one popular BI tool such as Tableau or Looker.

  • Advantage - proficiency in a scripting language used for data analysis (e.g., R, Python), or familiarity with ETL processes and data warehousing.

  • Great communication skills with a penchant for data visualization and storytelling.

  • Practical experience utilizing AI tools like Cursor or Claude Code for analytical and/or business purposes.

We believe in equal opportunity.
At monday.com, we believe everyone should feel they belong - exactly as they are. We’re an equal opportunity employer, committed to an open, accessible, and inclusive workplace free from discrimination or harassment of any kind.
All qualified candidates will be considered for employment, regardless of race, color, religion, nationality, sexual orientation, gender identity, age, marital status, pregnancy, family or parental status, disability, veteran status, or any other characteristic protected by law.
If you need support or accommodation during the hiring process, we’re here to help.

Skills Required

  • 3+ years experience as a Data Analyst, Revenue Analyst, or BI Analyst
  • SaaS experience
  • Advanced SQL skills
  • Extensive experience querying data warehouses (Snowflake, PostgreSQL, BigQuery)
  • Ability to structure data for complex business reporting and scalability
  • Ownership of KPI definition, documentation, and single source of truth
  • Build automated workflows and interactive data applications
  • Hands-on experience with n8n, Streamlit, Cursor, and Python
  • Experience creating documentation and technical guides using Markdown
  • Excellent ability to explain complex technical concepts to non-technical stakeholders
  • Degree in Industrial Engineering, Computer Science, Statistics, or related technical field
  • Excellent communication skills in English

What the Team is Saying

Ruchita
Nate
Kyle
Brad Wisselman
Brad Wisselman
Bianca Collado

monday.com Compensation & Benefits Highlights

  • Retirement Support A 401(k) plan with a guaranteed 3% company contribution regardless of employee deferral provides reliable retirement savings support. This predictable employer funding strengthens baseline long‑term financial security.
  • Parental & Family Support Up to 13 weeks of fully paid parental leave for all caregivers and adoption assistance (reimbursing up to $10,000) support growing families. Return‑to‑work programming and family events further ease caregiving transitions.
  • Wellbeing & Lifestyle Benefits Free daily breakfast, monthly meal (~$300) and commuter (~$130) stipends, snacks, and wellness offerings enhance everyday experience. Mental‑health resources, including 12 counseling sessions and additional wellness stipends, add meaningful support.

monday.com Insights

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The Company
HQ: New York, NY
3,048 Employees
Year Founded: 2012

What We Do

At monday.com, we help teams get more work done. We are the best AI work platform that empowers teams to automate, build, and scale their impact end-to-end with tools that actually execute the work for you. With over $1B in ARR, 250,000+ customers, and a global team, we’re serious about building a product people love to use and giving our employees the same ownership and flexibility to shape the way the world works.

Why Work With Us

At monday.com we believe in transparency, accountability, and impact. Together, those values have lent themselves to create a strong culture of professional and creative autonomy where every team member is encouraged to share ideas and help bring them to life!

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About our Teams

monday.com Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

monday.com embraces a flexible work environment with our hybrid model.

Typical time on-site: 3 days a week
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HQTel Aviv
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