דרושים אנליסט מידע ב-Monday ב-Israel, Tel Aviv-yafo

As a Product Analyst, you will:

• Turn customer behavior into insights: Analyze existing usage patterns to uncover adoption drivers and friction points.
• Unify the journey view: Connect data across product usage, onboarding, help center, academy, and AI-driven support.
• Define and track key metrics: Build and own KPIs for adoption, retention, and satisfaction.
• Ensure data quality: Partner with developers to instrument and validate tracking.
• Design and analyze experiments: Build hypotheses, run A/B tests and pilots, and apply statistical methods to validate results.
• Support fast-paced execution: Manage multiple projects in parallel while owning the domain analysis end-to-end.
• Communicate with impact: Present insights clearly in English, translating complex analyses into simple, actionable recommendations.

• 4+ years of experience as a Product Analyst or in a similar analytics role (SaaS/tech preferred).
• Strong command of SQL and experience analyzing large, complex datasets.
• Hands-on experience with funnels, cohorts, usability, and adoption analytics .
• Familiarity with A/B testing and experimentation ; solid foundation in statistical methods.
• Proven ability to turn ambiguous business questions into measurable analysis .
• Excellent presentation and storytelling skills ; able to influence product and leadership decisions.
• Comfortable working at a high pace , driving multiple projects with full ownership.
• Familiarity with BI tools (Looker, Tableau, Mode) and scripting languages (Python, R, Pandas)
• Independent, curious, and proactive ; motivated to build from scratch and take initiative.

Why Join Us?

• Impact: Your insights will directly shape new products and experiences that drive retention.
• Variety: Work across product, onboarding, academy, and AI-driven support.
• Autonomy: A role built on trust, ownership, and independence—no micro-management.
• Growth: High visibility and cross-org exposure, with opportunities to advance as we scale.

• Conduct deep-dive analysis to surface actionable business insights that drive product improvements, operational efficiency, and strategic decision-making.
• Design and develop insightful dashboards and data products that empower stakeholders across the company.
• Define key business metrics and ensure data accuracy and consistency across reporting layers.
• Collaborate closely with Product Managers, Developers, Analysts, and Executives to collect requirements, deliver solutions, and translate business questions into data-driven answers.
• Initiate and lead your own analytical projects—proactively identifying opportunities to optimize our product, workflows and customer experience through data.
• Present findings in a clear, compelling, and accessible way , tailored to both technical and non-technical stakeholders.
• Help foster a data-driven culture by building strong working relationships and championing the use of data in decision-making.

• Highly proficient in SQL – you can independently query large and complex datasets.
• 3+ years of experience as a Data Analyst or in a similar analytical role.
• Experience with data visualization tools (preference for Tableau)
• Strong analytical thinking and business understanding – you understand the “WHY” behind the numbers and the impact on the business.
• A great communicator and storyteller – you can translate complex data into simple, meaningful insights.
• Highly independent – curious, creative, and proactive. You don’t wait for direction; you seek out opportunity.
• A team player with strong interpersonal skills – you're able to build trusted relationships and work cross-functionally with diverse stakeholders.
• Fluent in English (spoken and written).

Bonus Points

• Experience working in fast-paced tech environments or product analytics.
• Experience with experimentation frameworks (e.g., A/B testing).

• 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.

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.

• 3+ 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; proficiency in 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.

You’ll act as ato Customer Success and Customer Experience leadership. You will own the end-to-end analysis, from building dashboards, writing SQL queries, to shaping strategy and uncovering actionable insights that elevate how we build relationships with our customers.

What You’ll Do

• Partner closely with business and cross-functional teams to understand business problems and proactively surface insights that influence strategy and execution.
• Lead end-to-end analysis projects, from framing key questions and forming hypotheses to analyzing the data and presenting compelling recommendations.
• Facilitate ongoing business reviews and presentations by translating complex data into simple, compelling stories.
• Develop metrics, dashboards, and deep‑dive analyses on NDR, GDR, churn, adoption, and product usage to surface growth opportunities and risk signals.
• Support operational improvements and new initiatives with relevant data analysis and strategic input.
• Collaborate with BI developers and data engineers to improve data accessibility and structure.

• 5+ years of experience as a Data Analyst / Business Analyst / Customer Success Analyst in a SaaS company, with experience working closely with customer interface teams.
• Strong SQL skill is a must.
• Proven experience designing data models and building self‑serve dashboards in Looker, Tableau, Power BI or comparable BI tools is a must.
• Proven experience turning data into clear business recommendations that drove measurable results.
• Excellent data storytelling and visualization skills— Effectively communicate data trends and insights to both technical and non-technical stakeholders.
• Collaborate effectively with stakeholders across various teams and levels to align on goals and drive decisions.
• Fluent in English & comfortable communicating with stakeholders around the globe.
• Familiarity with customer‑centric platforms and CRM systems (e.g., Salesforce, Zendesk), as well as key CS and CX metrics (e.g., CSAT, and Retention), is an advantage.
• Experience supporting client-facing departments or business operations teams - an advantage.

You will be reporting directly to the Data and AI infra product group lead.

• You have at least 5 years of experience as a product manager with a proven track record of delivering impactful products - A must
• You have a background in working with data, either as a data PM, a data scientist or an analyst or other equivalent role.
• You are impact-driven with a “business first” mentality, and a strong strategic mindset that can balance between short/long long-term business needs
• You’re self-driven and comfortable motivating, leading, and making decisions without consensus
• You are passionate about great user experiences, and you have a keen eye for details
• You have strong communication skills and are able to thoroughly explain product decision rationale
• You are analytical and experienced in working both with qualitative and quantitative data to drive product decisions.
• You are a fast learner, adaptive, and thrive in a fast-paced, ever-changing environment
• Previous experience as an entrepreneur and/or reporting to senior leadership- Advantage
• Previous experience working with data scientists - Advantage
• You enjoy mentoring, supporting, and training others - Advantage

As a Data Engineer in the BigBrain Core team, you will be part of a growing group that’s building the best-in-class data ecosystem to support monday.com’s hyper-scale and most critical data needs.

You will design, implement, and support robust, scalable data solutions, and take ownership of core components such as the Data Lake, batch and streaming infrastructure, high-scale data pipelines, and distributed systems.

In addition, you will play a key role in empowering our infrastructure with AI capabilities – from building AI-assisted data pipelines and smart monitoring tools, to supporting AI-driven features and services across the organization.

● 3+ years of experience as a data engineer / big data developer.

● 3+ years of experience with a programming language (python, java, scala, nodejs).

● Experience with designing data pipelines & data lakes.

● Experience with big data tools: Hadoop, Spark, Kafka, etc.

● Experience with SQL and database architecture.

● Experience with workflows and data processing pipelines like AirFlow.

● Experience working in a cloud environment, preferably AWS.

● Experience with Big Data architectures.

● Building and designing large-scale applications.

• Impact at scale- You will own the analytical roadmap for Finance Operations, ensuring our planning, controls, and compliance processes are powered by accurate, timely data.
• Hands‑on leadership- Split your time between mentoring a small squad of data analysts and diving deep into data yourself—writing complex SQL, building dashboards, and providing data insights.
• Strategic partnership- Work directly with FP&A, Accounting, Treasury, Procurement, Revenues and Billing teams to translate business questions into data solutions and uncover new opportunities for efficiency and growth.
• Drive a data culture- Implement best practices in data modeling, documentation, and experimentation; set quality standards; and foster a test‑and‑learn mindset across Finance.
• Own end‑to‑end delivery- Drive analytics projects—from scoping and hypothesis‑setting through data extraction, analysis, visualization, and stakeholder enablement.
• Identify Finance areas where data‑driven solutions and dashboards can streamline workflows and enhance control—owning the discovery‑to‑delivery cycle for these initiatives.
• Partner with Data Engineering to prioritize pipelines, monitor data quality, automate recurring processes, and evolve our data models

• 6+ years of experience as a Data/Business Analyst, including 2+ years leading or mentoring analysts in a fast‑paced tech environment.
• Expert‑level SQL; comfortable working with large, complex datasets
• Strong experience with BI and visualization tools such as Looker, Tableau, or Redash.
• Understanding of finance principles (P&L, cash flow, SaaS metrics) and ability to speak the language of Finance stakeholders.
• Strong analytical and problem-solving skills, with the ability to analyze complex data sets and derive meaningful insights
• Excellent communication skills in English; able to distill complex analyses into clear stories for non‑technical audiences.
• Passion for mentorship, radical ownership, and building a collaborative, feedback‑oriented culture.