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לפני 7 שעות
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Were looking for a data-driven SEM specialist with strong analytical skills and hands-on experience to lead and optimize our activities across multiple channels and markets.
The role includes managing Search campaigns, analyzing performance data, and handling large-scale budgets in competitive environments. We're seeking a strategic thinker and proactive leader, someone who drives innovation, takes ownership of high-impact projects, and constantly looks for smarter, more effective ways to grow performance.
Responsibilities:
Plan, manage, and scale global PPC campaigns on Google Ads and Bing Ads, overseeing large budgets in competitive markets.
Monitor performance against business goals, report results, and continuously test new strategies, creatives, and growth solutions.
Track and analyze KPIs to generate actionable insights and optimize campaigns to improve performance and ROI.
Use strong analytical and business judgment to identify gaps, opportunities, and solve business problems.
Leverage BI tools to analyze business flows and collaborate closely with cross-functional teams.
Drive innovation through new ideas, opportunity discovery, and auditing business practices.
Requirements:
Bachelors degree in Business, Economics, Industrial Engineering, Statistics, Mathematics, or a related technical discipline.
Expert-level Excel - must.
Exceptional academic or equivalent excellence - must.
Exceptional analytical skills with the ability to derive actionable insights from data and make clear, data-driven recommendations.
Strong ability to translate complex data and concepts into clear, actionable recommendations.
A strong team player with experience working effectively with cross-functional teams.
Demonstrated ability to thrive and make sound decisions in a fast-paced environment.
Proactive, initiative-taking, solution-oriented mindset with strong problem-solving skills.
Strong time-management abilities.
Advantages:
1-2years of hands-on experience in paid search acquisition (SEM/PPC), demonstrating a track record of success.
Deep practical expertise in managing Google Ads and Bing Ads campaigns.
Proven ability to manage high-budget, global PPC campaigns using current best practices.
Proven analytical and business experience, preferably within a web-based / online industry.
This position is open to all candidates.
 
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01/02/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
The Data & Research department oversees all of our data-related requirements. Our ultimate goal is to enable and increase the use of data across the company through creative approaches and the implementation of powerful resources such as analytical databases, advanced data pipelines, BI tools, and data science technology.

We hire the brightest minds to take on this challenge and equip them with the tools and knowledge that contribute to their personal growth and success while supporting our companys culture of diversity, experimentation, and curiosity. The Product Analytics team is a key enabler of informed decision-making across product, engineering, underwriting, risk, operations, and other areas.

We are now seeking a Product Analytics Team Leader to manage and grow a team of four exceptional product analysts. In this role, you will be responsible for scaling our analytics capabilities, driving high-impact insights that inform product strategy, and guiding experimentation efforts across the organization. Youll serve as a strategic thought partner to senior product and business leaders, ensuring the effective use of analytics tools and methodologies. This position requires a strong understanding of product development, a deep analytical mindset, and excellent leadership skills.

Responsibilities

We are looking for a hands-on, experienced analytics leader who will:

Lead, mentor, and develop a team of 4 product analysts, fostering a culture of curiosity, critical thinking, and continuous learning.
Define and evolve our product analytics strategy, including KPI frameworks, event tracking standards, and experimentation processes.
Partner closely with product managers, engineers, designers, and senior stakeholders to identify key business questions, translate them into analytical projects, and deliver insights that shape product roadmaps and strategic decisions.
Promote analytics excellence by driving best practices in data instrumentation, experimentation design, statistical analysis, and business storytelling.
Lead the development and maintenance of dashboards and A/B testing frameworks to evaluate user behavior, feature performance, and product-market fit.
Conduct and oversee in-depth analysis of product usage, customer journeys, and market trends to uncover opportunities and solve critical product challenges.
Translate complex data findings into clear, actionable recommendations, effectively communicating insights to technical and non-technical audiences.
Stay current with trends in product analytics, data tooling, and emerging technologies to continuously raise the bar for the team and the broader product organization.
Champion data-driven decision-making throughout the product lifecycle-from ideation and development to launch, iteration, and sunset.
דרישות:
Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline. Master's degree preferred.
6+ years of experience in product or business analytics, with at least 1-2 years in a formal team lead or managerial role.
Proven track record of leading analytics projects end-to-end and partnering with product & engineering teams in a tech-driven organization.
Strong command of SQL - able to guide and review complex queries and pipelines.
Experience with experimentation platforms and product tracking tools (Mixpanel, Full-Story, etc.).
Proficiency in data visualization tools (e.g., Tableau, Looker).
Solid understanding of A/B testing methodologies and statistical significance.
Excellent communication, presentation, and interpersonal skills, able to present insights clearly to both technical and non-technical audiences.
Analytical and adaptable; thrives in a fast-paced, evolving startup environment.
Fluent English speaker - strong written and verbal communication required.
Cyber knowledge (advantage).
Experience with programming languages such as Python for data analysis. המשרה מיועדת לנשים ולגברים כאחד.
 
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27/01/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
we are looking for a brilliant Marketing Data Analyst to join our Data department. As part of this position, you will be working alongside various marketing teams that are responsible for acquisition of new users.
You'll use your analytical, technical and business expertise to track and measure marketing efforts, uncover trends, spot opportunities, and support key decision-making processes. You will be required to answer complex questions defined by executive management and various business units, develop insightful recommendations and initiate deep-dive analyses.
Were looking for someone with a passion for numbers and marketing domain, a proactive mindset who brings creative ideas to solve tough challenges and spot new opportunities.You will leverage AI tools, automation, and advanced analytics to streamline workflows, uncover insights, and support data-driven marketing decisions.
What am I going to do?
Conduct deep-dive analysis to answer complex business questions and deliver comprehensive recommendations.
Build and maintain the teams reporting set and dashboards.
Develop marketing measurement methodologies and data science models.
Provide ROI-based recommendations to optimize marketing spend across channels.
Identify opportunities for automation and smarter ways of working through data and AI tools.
Manage multiple tasks in a fast-paced working environment.
Collaborate closely with stakeholders across the marketing department.
Requirements:
At least 5 years of experience as a Data analyst (Online industry advantage), out of which at least 2-3 years of experience as a Marketing Data analyst.
Extensive knowledge in the marketing domain.
Vast knowledge of SQL - Must.
BA/B.Sc. in industrial/information systems engineering, computer science, statistics or equivalent
Experience with reporting platforms - Must (Tableau advantage)
Experience in working with Big data tools (BigQuery advantage)
Exceptional analytical and problem-solving skills with a proactive and creative mindset.
Experience leveraging AI tools, automation, or advanced analytics in marketing workflows is a strong advantage.
Exceptional analytical and problem-solving skills with a proactive and creative mindset.
Proven ability to work independently, take initiative, and learn on your own.
Tech-savvy and curious, always looking for ways to improve processes and uncover insights.
Ability to work effectively both independently and as part of a collaborative team.
Strong communication skills to present findings effectively to both technical and non-technical audiences.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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16/02/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
our company, the leading global financial news & data platform, is looking for a User Acquisition Analyst to drive measurement, insights, and optimization for our paid acquisition efforts across channels, with a clear focus on growing our subscription product.
What we are looking for: someone who understands paid marketing deeply (search, social, display, affiliates, etc.), can navigate the realities of attribution and tracking, and can translate multi-channel performance into decisions that improve CAC, ROAS, LTV, and payback. You should also be highly fluent with AI-driven analysis, confident inside each platforms native analytics, and able to use visualizations + AI to communicate insights and support data-driven decision making.
What youll be doing
Own analytics for paid user acquisition across channels (paid search, paid social, display/programmatic, affiliates, partnerships, etc.) and across platforms (web, iOS, Android)
Build and maintain end-to-end performance visibility: click -> landing -> activation -> paywall -> purchase -> renewal/retention
Develop and refine measurement approaches including:
attribution models (last-click, first-click, data-driven where available)
cross-channel cannibalization detection and analysis
incrementality and lift thinking (geo tests/holdouts/controlled experiments where possible)
Use AI tools to accelerate analysis, explore hypotheses, detect patterns/anomalies, and generate high-quality insights
Leverage each platforms native analytics tools (Google Ads, Meta, TikTok, DSPs, affiliate platforms, etc.) to understand what drives performance and to diagnose what is actually changing inside campaigns (creative, audiences, bidding, placements, pacing, attribution)
Monitor and optimize core performance KPIs tied to subscriptions: CAC, ROAS, CVR, LTV, payback period, churn/retention cohorts
Own ongoing monitoring to proactively detect drops, tracking glitches, attribution breaks, spend/performance anomalies, and funnel issues, and drive resolution with relevant stakeholders
Partner with UA managers and channel owners to identify opportunities, size impact, and prioritize actions (creative, targeting, bidding, landing pages, offers, paywall flows)
Deep dive into funnel drop-offs and cohort behavior by channel/campaign/audience/geo/device to explain whats driving performance
Design and analyze A/B tests (creative tests, landing tests, offer/trial mechanics), ensuring clean measurement and clear conclusions
Create recurring reporting and executive-ready narratives using strong visualizations: what changed, why it changed, and what we should do next
Improve data quality and tracking: event definitions, UTM governance, campaign naming, source-of-truth reconciliation across platforms.
Requirements:
4+ years of experience in paid acquisition analytics/performance marketing analytics (hands-on, not only reporting), from a subscription-driven product company
Strong understanding of the impact of paid traffic on subscription outcomes, and the ability to use visualizations to present insights and drive decisions
Strong knowledge of paid channel mechanics and measurement realities (platform attribution limits, view-through vs click-through, cross-device, etc.)
Strong understanding of platform-native analytics and drivers of campaign performance (what good looks like and why)
Excellent SQL skills for extracting and analyzing large datasets (funnels, cohorts, segmentation, marketing spend joins)
Experience measuring subscription business outcomes: paywall funnels, conversion, retention, LTV, churn
Familiarity with AppsFlayer and APPs user acquisition
Strong analytical thinking with the ability to turn ambiguity into a structured approach and clear recommendations
Excellent communication skills - able to explain attribution tradeoffs and results to technical and non-technical stakeholders.
This position is open to all candidates.
 
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21/01/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Data Analyst to join our team.

The Data Analyst must have the ability to strategize, analyze and interpret business data to identify key insights and provide recommendations.

The successful candidate should have a proven track record of success in the field of business analytics.

Responsibilities:
You will work with various internal & external datasets to extract insights and deliver actionable recommendations.
You will use your set of analytical skills, data mining techniques and statistical tools to identify trends, opportunities and threats that will support our growth.
You will communicate your findings to management and work closely with business leaders.
You will Design, execute and monitor ETL flows via SQL (dbt is our data tool).
You will Visualize data with dashboards to address key questions for the companys in-house teams like Sales, Marketing, CSM, Growth, and more.
Requirements:
2 + years of experience as a Product Analyst / Data Analyst / similar positions, preferably from online B2C companies.
BA / BSc in Industrial Engineering and Management / Information Systems / Engineering / Economics / Statistics / Mathematics / similar background.
Curious, loves to solve complex problems with a strong business orientation.
Strong SQL experience querying large, complex data sets - Must.
Experience in building BI visualizations and dashboards.
Knowledge of Python for data analysis and basic ML (pandas, scikit learn) - an advantage,
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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11/02/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
we are looking for a Data Scientist.
The Data Science department plays a pivotal role in our company, generating value by developing algorithms and analytical production-grade solutions. We leverage advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLP, anomaly detection, graph theory, deep learning, and more). As a Data Scientist, you will assume the classic data-science role of an end-to-end project development and implementation practitioner. Being part of the team requires a mix of hard quantitative and analytical skills, solid background in statistical modeling and machine learning, a technical data-savvy nature, along with a passion for problem-solving and a desire to drive data-driven decision-making.
What You'll Be Doing:
Data Exploration and Preprocessing: Collect, clean, and transform large, complex data sets from various sources to ensure data quality and integrity for analysis
Statistical Analysis and Modeling: Apply statistical methods and mathematical models to identify patterns, trends, and relationships in data sets, and develop predictive models
Machine Learning: Develop and implement machine learning algorithms, such as classification, regression, clustering, and deep learning, to solve business problems and improve processes
Feature Engineering: Extract relevant features from structured and unstructured data sources, and design and engineer new features to enhance model performance
Model Development and Evaluation: Build, train, and optimize machine learning models using state-of-the-art techniques, and evaluate model performance using appropriate metrics
Data Visualization: Present complex analysis results in a clear and concise manner using data visualization techniques, and communicate insights to stakeholders effectively
Collaborative Problem-Solving: Collaborate with cross-functional teams, including product managers, data engineers, software developers, and business stakeholders to identify data-driven solutions and implement them in production environments
Research and Innovation: Stay up to date with the latest advancements in data science, machine learning, and related fields, and proactively explore new approaches to enhance the company's analytical capabilities
Requirements:
B.Sc (M.Sc is a plus) in Computer Science, Mathematics, Statistics, or a related field
3+ years of proven experience designing and implementing machine learning algorithms and successfully deploying them to production.
Strong understanding and practical experience with various machine learning algorithms.
Proficiency in Python, Experience with SQL and data manipulation tools (e.g., Pandas, NumPy) to extract, clean, and transform data for analysis
Solid foundation in statistical concepts and techniques, including hypothesis testing, regression analysis, time series analysis, and experimental design
Strong analytical and critical thinking skills to approach business problems, formulate hypotheses, and translate them into actionable solutions
Proficiency in data visualization libraries, to create meaningful visual representations of complex data
Excellent written and verbal communication skills to present complex findings and technical concepts to both technical and non-technical stakeholders
Demonstrated ability to work effectively in cross-functional teams, collaborate with colleagues, and contribute to a positive work environment
Advantages:
Experience in the fraud domain
Experience with Airflow, CircleCI, PySpark, Docker and K8S
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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29/01/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
If you have a proven track record in managing Facebook campaigns, a keen eye for visual storytelling, and a passion for leveraging data-driven insights to drive business success, we invite you to explore this exciting opportunity and contribute to our mission of delivering exceptional digital experiences to our customers.

Responsibilities:
Plan and execute Facebook campaigns for the US market.
Manage and optimize campaign budgets to ensure the highest possible return on investment.
Identify new growth opportunities.
Collaborate with internal teams or external agencies to produce compelling video content.
Work closely with the marketing team to develop creative concepts and storyboards for video campaigns.
Provide input on scriptwriting, shot lists, and visual elements to enhance the effectiveness of video content.
Requirements:
Requirements:
BA/BS degree in Economics, Industrial Engineering, Business, or a related field.
At least 2 years of experience in FB campaign management.
Analytical skills and data-driven thinking, proficiency in Excel.
Creative intuition.
Independent and highly motivated to succeed.
Ability to learn quickly and adapt to changes in a fast-paced industry.
Strong written English and copy-editing skills.

Advantages:
Oversee the post-production process, including video editing, color grading, sound design, and motion graphics.
Video editing skills (e.g., Canva, Capcut, etc.).
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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05/02/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We act as the central nervous system for engineering, enabling platform teams to unify their stack and expose it as a governed layer through golden paths for developers and AI agents.
By combining rich engineering context, workflows, and actions, we help organizations transition from manual processes to autonomous, AI-assisted engineering workflows while maintaining control and accountability.
As a product-led company, we believe in building world-class platforms that fundamentally shape how modern engineering organizations operate.
About The Role
Were looking for an experienced Sales Analyst to partner closely with Sales Operations and act as a proactive analytical force across our GTM organization.
This role combines deep analytical ownership with ongoing responsibility for CRM data quality, ensuring that insights, forecasts, and decisions are built on reliable, trusted data.
This is not a reactive reporting role, it's for someone who actively monitors, analyzes, and improves the health of both our data and our sales performance.
About Your Day To Day

Proactively analyze sales pipeline, bookings, revenue, and funnel performance across segments, regions, and reps
Monitor pipeline health, coverage ratios, conversion rates, and forecast accuracy
Identify trends, anomalies, and risks and proactively surface them to Sales Ops and leadership
Own ongoing CRM data hygiene, including:
Monitoring data completeness, accuracy, and consistency
Identifying gaps or misuse in pipeline stages, deal fields, and forecasts
Partnering with Sales Ops to drive corrective actions with the sales team
Build and maintain analytical models to support:
Forecasting and scenario planning
Performance tracking and productivity analysis
Win/loss and deal level analysis
Work hands on with spreadsheets, BI tools, and data warehouses to transform raw data into actionable insights
Partner closely with Sales ops on planning cycles, QBRs, and strategic initiatives
Collaborate with RevOps, Finance to align definitions, metrics, and data sources
Translate complex data into clear narratives and recommendations for non technical stakeholders
How Success Will Look Like
CRM data is trusted, consistent, and decision ready
Pipeline and forecast accuracy improve quarter over quarter
Data quality issues are identified and addressed proactively, not discovered during QBRs or at quarter end
Leadership relies on your insights to guide sales strategy and execution
Sales Ops views you as a core partner in running the business
Analytical insights directly influence sales behavior and outcomes.
Requirements:
3-5 years of hands-on experience in Sales Analytics, business analyst, or a GTM-focused analytical role, preferably in B2B SaaS
Strong understanding of sales funnels, pipeline management, and forecasting with the ability to proactively identify risks and opportunities
Advanced proficiency in Excel / Google Sheets for modeling, analysis, and large datasets
Proven ability to own and improve CRM data hygiene (pipeline stages, field completeness, forecast integrity)
Experience working with cloud data warehouses (e.g., Snowflake) and/or writing SQL
Familiarity with BI and data visualization tools (Looker, Tableau, Power BI, etc.)
Nice-to-Have
Clear communicator who can translate complex data into actionable insights for Sales Ops and leadership
Previous experience partnering closely with Sales Ops, RevOps, or Finance on planning and forecasting
Personal Attributes & Mindset
High ownership mentality with strong execution skills
Naturally proactive identifies issues and opportunities before they escalate
Detail oriented with the ability to think systemically and strategically
Comfortable working with complexity and turning it into clear, actionable insights
Strong collaborator across Sales, Finance and RevOps
Clear, confident, and effective communicator
English at a native or near native level.
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Were looking for a Senior GTM Business Analyst to join our fast-growing Business Analytics team, partnering closely with GTM leadership, RevOps, Customer Success, Channel, Marketing (ToFu), Finance, and Data/BI teams to scale and elevate our go-to-market analytics capabilities.
This role requires deep analytical expertise, strong business acumen, and the ability to influence senior stakeholders. You will take ownership of strategic GTM analytics initiatives, define measurement frameworks, and drive data-informed decision-making across multiple revenue-generating functions.
You will serve as a key thought partner to GTM leadership, shaping how performance is measured, interpreted, and optimized.
Responsibilities:
GTM Analytics & Performance Insights
Own and evolve performance measurement frameworks across Customer Success, Channel Sales, Solutions Engineering, and Top-of-Funnel Marketing.
Track and interpret key SaaS KPIs, including ARR movements, churn, retention (GRR/NRR), expansion, pipeline creation, and funnel conversion metrics.
Design and maintain scalable reporting models that provide executive-level visibility into GTM performance.
Translate complex data into structured insights and strategic recommendations for senior leadership.
Proactively identify growth opportunities, operational inefficiencies, and risk areas across the GTM engine.
Data & Analytics Operations
Use SQL and Snowflake to efficiently extract, structure, and analyze GTM data.
Design high-impact, end-to-end Tableau dashboards (preferred), from data modeling to visualization and distribution.
Partner with Data Engineering and BI to shape data models, improve pipeline reliability, and elevate data governance standards.
Drive automation and AI-enabled analytical solutions to improve insight velocity and self-service capabilities.
Cross-Functional Collaboration
Act as a senior analytics partner to GTM executives and department heads.
Mentor and collaborate with other analysts to ensure consistent definitions, reporting standards, and analytical rigor.
Lead executive presentations and deliver insights in high-visibility forums.
Continuously improve GTM measurement methodologies and analytical maturity across the organization.
Requirements:
5+ years of experience as a Business Analyst, GTM Analyst, Commercial Analyst, or Data Analyst within a SaaS or software-based environment.
Deep understanding of SaaS business models and advanced GTM performance metrics (ARR, churn, GRR, NRR, CAC, LTV, pipeline dynamics, funnel optimization).
Proven experience influencing senior stakeholders and driving strategic business decisions through data.
Advanced SQL proficiency and strong hands-on experience with Snowflake (required).
Expertise in Tableau (preferred) or similar BI visualization tools, including designing scalable executive dashboards.
Strong storytelling and presentation skills with the ability to influence senior stakeholders.
Experience collaborating with GTM, FP&A, Finance, and BI/Data Engineering teams.
Knowledge of CRM and GTM systems (Salesforce, Gainsight, marketing tools).
Bachelors degree in Business, Finance, Economics, Industrial Engineering, Computer Science, or a related field.
Preferred
Experience working in a large-scale SaaS GTM organization
Familiarity with dbt or similar data transformation tools.
Experience applying AI/ML tools in analytics or automation
Experience mentoring junior analysts or leading analytical initiatives.
This position is open to all candidates.
 
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8561897
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19/02/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time and English Speakers
were looking for an ambitious, analytical, and resourceful Business Operations Associate to join our Biz Ops team. This role is perfect for someone looking to gain hands-on experience in optimizing business processes, driving efficiency, and supporting strategic initiatives in a high-growth environment.
This role is all about driving results by making operations smoother and smarter, working across teams to identify gaps, improve execution, and turn strategy into clear, scalable processes that support success.
Responsibilities:
Own hands-on operational execution, including recurring tasks that keep the business running smoothly, with strong attention to detail and follow-through.
Maintain, improve and create new workflows, SOPs, documentation, and internal tools to drive efficiency and consistency while allowing for flexibility.
Identify operational gaps, design scalable solutions, and lead implementation from problem definition through execution.
Define, track, and analyze key metrics to measure impact and continuously optimize processes.
Own licensing and compliance projects, a core responsibility in a highly regulated operating environment.
Lead & support strategic projects, including cross-functional collaboration to ensure alignment, clear communication, and smooth execution of company-wide initiatives.
Requirements:
Exceptional individuals that are extremely driven and ambitious.
Bachelors degree in Business, Economics, Data Analytics, or a related field.
2-3 years of experience in business operations, strategy, consulting, or a similar role.
Strong problem-solving skills, with the ability to break down complex challenges into actionable steps.
Highly organized with excellent attention to detail and the ability to manage multiple projects simultaneously.
Strong proficiency in data analysis tools (e.g., Excel, Google Sheets, Tableau, SQL a plus).
Ability to thrive in a fast-paced, team-oriented environment and take ownership of projects.
Fast learner with the ability to adapt to a rapidly evolving business environment.
Fluent English proficiency with strong communication skills.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8554017
סגור
שירות זה פתוח ללקוחות VIP בלבד
סגור
דיווח על תוכן לא הולם או מפלה
מה השם שלך?
תיאור
שליחה
סגור
v נשלח
תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking an experienced Data Team Lead to build, lead, and scale our data function. This is a hands-on leadership role that combines strategic thinking, technical excellence, and people management. You will build and manage a team of Data Engineers and Data Analysts, while working closely with senior management and cross-functional leaders to translate data into measurable business impact.
This role is ideal for someone who thrives in a fast-paced startup environment, enjoys influencing decision-making at the highest levels, and is passionate about embedding a data-driven mindset across the organization.
What You'll Do:
Lead and mentor the Data team, and support their professional growth while achieving impact goals of the marketing data structure such as: multi touch attribution model, creative analytics and automated data governance processes.
Define and own the data vision, roadmap, infrastructure, and best practices aligned with company objectives.
Act as a trusted data partner to executive leadership and senior stakeholders, influencing strategy through insights and analysis while promoting a strong data-driven culture.
Oversee the design, build, and maintenance of a scalable and reliable data warehouse.
Lead the design, implementation, and optimization of ETL/ELT pipelines to integrate data from multiple internal and external sources.
Ensure high standards for data quality, governance, integrity, and documentation.
Translate complex datasets into clear, actionable insights that support the different departments' needs and the company growth through operational excellence.
Support advanced analytics use cases including forecasting, experimentation (A/B testing), and performance measurement.
Review and elevate dashboards, reports, and analyses to ensure clarity, accuracy, and executive relevance.
Identify gaps in data collection and proactively propose solutions to improve visibility and decision-making.
Requirements:
Bachelors or Masters degree in Analytics, Statistics, Mathematics, Data Science, Computer Science, or a related field - Preferred
5+ years of experience in data analytics or data engineering leadership roles, preferably in a SaaS or technology-driven environment.
Experience building data infrastructure, standards, and best practices from the ground up.
Previous experience leading projects and mentoring or managing team members - a must.
High attention to detail and commitment to data accuracy and quality.
Proactive, collaborative, and comfortable operating in a fast-growing startup environment.
Technical Skills
Strong proficiency in SQL and Python for data manipulation and analysis.
Hands-on experience with ETL tools and frameworks (e.g., Apache Airflow, dbt or similar).
Solid understanding of data warehousing concepts and platforms (e.g., Snowflake, Redshift, BigQuery).
Experience with data visualization tools such as Tableau, Power BI, or Looker.
Familiarity with marketing and product analytics tools: user acquisition ad managers APIs, Salesforce and HubSpot data and integrations.
Strong understanding of SaaS metrics including ARR, churn, LTV, CAC, and cohort analysis.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8563392
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