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20/01/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking a talented Data Analyst with strong full-stack development skills, particularly in SQL, Node.js, and React. The ideal candidate will have at least 5 years of experience in data analysis and a solid understanding of web development, enabling them to bridge the gap between data insights and application development.
Requirements:
Minimum of 5 years of experience in data analysis.
Proficiency in SQL and experience with database management.
Strong knowledge of full-stack development, including Node.js and React.
Excellent analytical, problem-solving, and critical-thinking skills.
Strong communication skills and ability to work effectively in a team environment.
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking an analytical and tech-savvy Senior Data Analyst / BI Developer to join our team, focusing on our B2B products and content cost analytics. You will bridge the gap between data and business for our publisher-facing solutions. In this role, youll develop Business Intelligence solutions and insights that drive informed decisions for both Minute Media and our content partners. This includes building dashboards to track B2B product performance and analyzing content costs to help optimize our partnerships. If you enjoy turning data into actionable business intelligence and thrive in a fast-paced media environment, wed love to meet you.

Content Cost Analytics & Reporting

Analyze and report on content costs (licensing, contributors) to assess impact on revenue, margins, and content ROI, and integrate these metrics into centralized data models and the Single Source of Truth in partnership with Data Engineering.
Automate monthly and quarterly content cost reporting by replacing manual spreadsheets with dynamic Looker dashboards, providing Finance and Partnerships teams with real-time visibility into spend vs. returns.
BI Development for Partner Solutions

Design and build scalable data sources, models, and feeds to support B2B analytics, including partner-facing reporting in Voltax for content performance and earnings.
Develop and maintain intuitive Looker dashboards tracking key B2B KPIs (e.g., video usage, syndication metrics, revenue share), ensuring data accuracy, consistency, and stakeholder trust.
Insights & Collaboration

Collaborate cross-functionally with Product, Finance, and Partnerships to translate business questions into data analysis and actionable insights.
Identify trends and optimization opportunities in partner usage and content costs, clearly communicating findings internally and occasionally supporting external partner reporting, enablement, and training.
Proactively improve analytics offerings by staying current on BI and digital media trends and recommending new metrics or visualizations.
Requirements:
3+ years of experience in data analytics, business intelligence, or a related role, ideally in tech, media, or digital content environments.
Strong SQL skills with experience writing complex queries and transforming data in cloud data warehouses (e.g., BigQuery, Athena), along with a solid understanding of data modeling and ETL processes (e.g., Rivery or similar tools).
Proven experience building dashboards and reports in BI tools, with Looker strongly preferred (or Tableau/Power BI with ability to ramp quickly).
Strong analytical mindset with excellent attention to detail, able to ensure data integrity, uncover insights, and balance hands-on technical work with high-level analysis and interpretation.
Strong communication and presentation skills, capable of translating complex data findings into clear, business-friendly language and visuals.
Self-motivated and curious, with a strong interest in understanding how products work and how data can drive improvement.
BA/BSc or Masters degree in Data Science, Analytics, Computer Science, or a related field (or equivalent practical experience in a data-focused role).
This position is open to all candidates.
 
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2 ימים
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a talented and dedicated Data Analyst - ML & Big Data who will be a part of the Core Data group.
As part of this role, you will help us process and streamline rich and complicated datasets. Will explore and validate new data sources. Be part of the data science and data engineering force creating new features for our solution.
What does the day-to-day of a Data Analyst - ML & Big Data look like:
Apply your expertise in quantitative analysis and data mining to turn data into insights.
Conduct research and develop tools that will ensure the quality of data and algorithms.
Utilize your deep understanding of data in order to evaluate and improve novel algorithms produced by the data scientists in your team.
Partner with Big Data Engineers to establish an infrastructure to scale solutions.
Requirements:
At least 2 years of work experience in a Tech Company - Must
At least 2 years experience in Python scripting - Must
Experience with SQL for data analysis -Must
Knowledge and understanding of the statistical principles, concepts, methods, and standards- Must
Hadoop/Spark/AWS Infrastructure experience - Big Advantage
Ability to visualize data and experience with a visualization tool and modules (mlplot, matplolib, sns)- Big Advantage
Excellent verbal and communication skills (in English) - Must
Team player, autodidact, fast learner with excellent analytical, research and business skills.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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2 ימים
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Were looking for a sharp and driven Data Analyst to join our fast - paced Data Labs team. As part of a high-performing group of analysts, youll handle complex, custom requests from some of the biggest names in the market, turning raw data into strategic, ad hoc insights.
The work is intense and constantly evolving - it requires strong analytical skills and the ability to work independently under pressure. Youll need to be curious, adaptable, and willing to dive deep to find answers where others might stop. If you thrive in a demanding environment and are excited by the opportunity to make a real impact, we want you on our team.
What does the day to day of a Data Analyst Customer Facing (Data Labs) look like:
Building custom-made reports end to end - from meeting with the client and understanding their needs, to writing the code and setting up the report for ongoing delivery.
Apply your expertise in quantitative analysis and data mining to turn data into insights.
Conduct research and develop tools which will help answer client's business. questions by using raw data sets and algorithms.
Partner with Engineering teams to establish an infrastructure to scale solutions.
Partner with Advisory Services team of Consultants to answer strategic business questions and deliver custom data products seamlessly
Requirements:
At least 2 years experience with SQL/pySpark for data analysis - Must
Experience in Python scripting - Must
Excellent verbal and communication skills in English - Must
AWS Infrastructure experience - Big Advantage
Working with clients - Big Advantage.
Proficiency in Online Marketing/Online Services - Advantage
At least 2 years work experience in Online/Tech Company - Advantage
Team player, autodidact, fast learner with excellent analytical, research and business skills.
Demonstrates initiative and a proactive mindset -Must
Experienced in independently managing complex projects from start to finish.
Have a Bachelor's in Statistics, Computer Science, Engineering, or related field.
Master's degree - Big Advantage.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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2 ימים
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a talented and dedicated ML & Big Data Analyst who will be a part of the Core Data group.
As part of this role, you will help us process and streamline rich and complicated datasets. Will explore and validate new data sources. Be part of the data science and data engineering force creating new features for our solution.
What does the day-to-day of a ML & Big Data Analyst look like:
Apply your expertise in quantitative analysis and data mining to turn data into insights.
Conduct research and develop tools that will ensure the quality of data and algorithms.
Utilize your deep understanding of data in order to evaluate and improve novel algorithms produced by the data scientists in your team.
Partner with Big Data Engineers to establish an infrastructure to scale solutions.
Requirements:
At least 2 years of work experience in a Tech Company - Must
At least 2 years experience in Python scripting - Must
Experience with SQL for data analysis -Must
Knowledge and understanding of the statistical principles, concepts, methods, and standards- Must
Hadoop/Spark/AWS Infrastructure experience - Big Advantage
Ability to visualize data and experience with a visualization tool and modules (mlplot, matplolib, sns)- Big Advantage
Excellent verbal and communication skills (in English) - Must
Team player, autodidact, fast learner with excellent analytical, research and business skills.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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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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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
we are inventing a new way of managing IT end-to-end for IT professionals and IT teams around the world.
By creating an AI-powered IT platform, our company's all-in-one Remote Monitoring and Management (RMM) Helpdesk, Ticketing, and Reporting solution helps more than 23,000 IT pros achieve 10X operational efficiency, cut down time-to-resolution, and deliver better outcomes faster. Located in the heart of Tel-Aviv, our team of passionate, like-minded individuals is driven by a shared mission to unleash everyone's potential and constantly innovate. We create an open, transparent, and supportive environment that gives our teams the autonomy, resources, and freedom to thrive.
we are seeking a strategic and data-driven Business Data Analyst to join our team!
we are seeking a strategic and data-driven Business Data Analyst to join our team.
In this role, you will take a meaningful part in analyzing business performance, customer acquisition, and go-to-market strategies. You will work with multiple data sources, refine and develop key performance metrics, and surface opportunities to optimize our market penetration and customer engagement efforts. Your analytical insights will directly support strategic decision-making and drive growth across our marketing functions. You will leverage strong analytical expertise to deliver clear, actionable insights that shape our business strategies and overall performance.
Responsibilities:
Develop a deep and holistic understanding of data models related to customer acquisition, marketing funnel, new product launches, revenue, and broader business performance.
Design and implement scalable data models, KPIs, and predictive analytics to support go-to-market and broader strategic initiatives.
Build, maintain, and monitor reports, dashboards, and performance metrics to track business health and progress toward growth targets.
Analyze large and complex datasets to identify trends, opportunities, and potential risks across customer segments and market channels.
Communicate insights, findings, and strategic recommendations to executive leadership and cross-functional partners.
Collaborate closely with stakeholders to align data initiatives with business objectives and serve as a trusted analytics partner.
Requirements:
5+ years of experience as a Business Analyst, Data Analyst, Marketing Analyst, or a similar analytical role in a tech, SaaS, or digital environment.
Demonstrated ability to work with complex, multi-source data sets (including CRM systems, marketing platforms, and web analytics) and translate them into meaningful insights.
Strong understanding of data pipelines, data modeling, and data governance, with experience turning raw data into clear, actionable recommendations.
Hands-on proficiency with leading data visualization tools (e.g., Tableau, Power BI, Looker, QlikView).
Excellent SQL skills, including querying large datasets and optimizing performance.
Advanced analytical and problem-solving skills with exceptional attention to detail and data accuracy.
Bachelors degree in a quantitative field (e.g., Business, Economics, Data Science, Analytics).
Experience working with go-to-market, sales, or customer acquisition data is an advantage.
Previous experience in a B2B SaaS or digital/tech environment is a strong plus.
This position is open to all candidates.
 
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4 ימים
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
AS a Senior Data Analyst to join our R&D team, you will be responsible for- shaping how we understand data, drive insights, and influence strategic decisions across the company. Youll work closely with teams across Blockaid to uncover trends, identify opportunities, and help guide the direction of our business.



Your Chain of Impact:



Identify, analyze, and interpret trends or patterns in complex datasets to uncover actionable insights.
Partner with cross-functional teams to understand business needs and design data-driven solutions.
Analyze large datasets to provide clear, impactful recommendations that support operational and strategic goals.
Develop scalable data processes and infrastructure to support internal stakeholders.
Build and maintain dashboards, reports, and KPIs to monitor and improve company performance.
Translate business questions into analytical models and craft compelling data visualizations that tell the story.
Requirements:
5+ years of experience as a Data Analyst, ideally within a cybersecurity company.
Advanced SQL skills, with experience writing complex queries.
Proficiency in Python - must-have.
Experience with data visualization tools (e.g., Tableau, Power BI, Looker) - a strong plus.
Strong cybersecurity or forensic research skills - required.
Ability to understand complex concepts and clearly communicate them to non-technical stakeholders.
Excellent analytical thinking, attention to detail, and problem-solving skills.
Collaborative mindset and strong interpersonal skills - able to work independently and as part of a team in a fast-paced, high-intensity environment
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking a highly skilled Product Analyst to strengthen our core product analytics capabilities while also supporting rapid innovation in the B2B space. This role sits at the intersection of foundational analytics and forward-looking product discovery. You will help level up data-driven decision-making across the product organization by establishing clear, unified metrics for product success, while also partnering with a dedicated innovation squad to validate new product ideas through fast experimentation and proof-of-concepts.

This is a high-impact role for an impact-driven analyst who wants to own product decision-making end-to-end.


What Youll Do

Core Product Analytics & Adoption Insights (Primary Focus)

Act as the analytical owner of our product ecosystem, connecting the dots across teams, challenging assumptions, and calling out when data shows we are heading in the wrong direction.
Analyze and monitor holistic product health across Minute Medias product ecosystem, including adoption, engagement, retention, and usage funnels.
Develop and maintain comprehensive dashboards in BI tools such as Looker, providing product leadership with a clear, consolidated view of performance against strategic goals.
Partner closely with Product Managers to define success metrics for new features and initiatives, ensuring every launch has clear, measurable objectives.
Conduct deep-dive analysis to understand user behavior, identify usage patterns, and segment users or partners by engagement, product mix, or lifecycle stage.
Diagnose performance issues or opportunities, translating data into actionable insights and clear recommendations for product strategy and prioritization.
Innovation & Experimentation Support (Secondary Focus)

Serve as the dedicated analytics partner for a cross-functional innovation squad focused on developing and testing net-new products.
Define measurement frameworks and success metrics for experiments, pilots, and proof-of-concepts, ensuring fast learning cycles.
Analyze A/B tests and experimental results, delivering clear guidance on whether to iterate, pivot, or scale new ideas.
Collaborate with engineers and product teams to define event tracking specifications for experimental features and new products.
Provide rapid, good enough insights in a fast-paced environment, translating ambiguous questions into practical data points that keep momentum high.
Strategic Collaboration & Communication

Work cross-functionally with Product, Engineering, BI, Design, and commercial teams to align analytics with business and product goals.
Present insights and recommendations clearly and persuasively to non-technical stakeholders, influencing roadmap decisions and investment priorities.
Contribute an analytical perspective to product strategy discussions, helping teams understand not just what is happening, but why.
Requirements:
3-4 years of experience in product analytics, data analysis, or a similar role, preferably in B2B or SaaS environments.
Strong proficiency in SQL, with experience querying large datasets (e.g., Google BigQuery, AWS Athena, or similar).
Hands-on experience with BI and data visualization tools such as Looker, with a focus on building clear, decision-oriented dashboards.
Deep understanding of core product metrics, including adoption, engagement, retention, funnels, and feature usage analysis.
Strong analytical and critical thinking skills, with the ability to turn vague questions into structured analyses and clear conclusions.
Experience supporting A/B testing, experimentation frameworks, or rapid test-and-learn product development cycles.
Excellent communication skills, both written and verbal, with experience presenting insights to non-technical audiences.
Comfortable working in ambiguous, evolving environments and balancing long-term frameworks with short-term execution.
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 Business Analyst to join Orca AIs Customer Success team, working closely with the Data team to bridge insights and action. This is a cross-functional role that blends analytical depth with commercial and operational impact - helping us turn data into meaningful insights for customers and internal teams.

Youll drive how we analyze, interpret, and communicate data - ensuring clients see the value in every metric and the CS team operates on clean, reliable, and actionable insights. Youll also occasionally present findings directly to clients, support business reviews, and partner with Customer Success Managers in demonstrating the strategic value of our insights and analytics.

Key Responsibilities:

Customer-Facing Analytics & Reporting
Develop and deliver data-driven analyses for QBRs, ABRs, and ongoing performance reviews.
Build and maintain monthly client facing reports, uncovering operational trends and actionable insights.
Conduct ad-hoc investigations into performance anomalies, KPIs, or client-specific questions.
Partner with Customer Success Managers to frame insights in a way that drives impact and engagement.
Data Strategy & Visualization
Shape the data storytelling framework we use with customers - defining what we show, how we show it, and why.
Work with Product and Data teams to identify new analytical opportunities from our data points and product telemetry.
Design and evolve dashboards, visualizations, and templates that scale across accounts and regions.
Data Integrity & Governance
Own data accuracy for CS-facing analytics: ensure data pipelines, reports, and KPIs are clean, consistent, and aligned with internal definitions.
Partner with the Data team to implement validation, QA, and documentation processes that keep client-facing reports trustworthy.
Contribute to standardizing KPIs, metrics definitions, and data structures across CS and Product.
Cross-Functional Enablement
Act as the analytical bridge between Customer Success, Data, and Product.
Support strategic account planning with data-based insights and recommendations.
Build scalable processes and templates for analysis and reporting across the customer lifecycle.
Requirements:
What Youll Bring:
3-5 years of experience in Business Analytics or Data Analysis, ideally in a B2B SaaS or tech environment.
Strong proficiency with SQL, Excel/Sheets, and at least one BI platform (e.g. Tableau, Looker, Power BI).
Solid understanding of data modeling, KPI frameworks, and business performance metrics.
Experience creating and communicating analytical insights to non-technical stakeholders.
A proactive, structured mindset - youre equally comfortable investigating data as you are shaping the narrative around it.
Excellent communication and presentation skills, with the ability to simplify complex data into clear, visual insights.
This position is open to all candidates.
 
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21/01/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
About the position
Join our company's growing Travel Product Strategy & Analysis team as an Analytics engineer focused on driving strategic product decisions through data-driven insights. You'll be at the center of product investment strategy, working directly with Product Managers, Engineering, Design, Leadership and Data Teams to harness data insights and empower teams to optimize our marketplace and user journey on our company Travel.
As a key member of our small, high-impact team, you'll own business understanding for our travel platforms and serve as the analytical backbone. You will focus on execution by delivering insights, building dashboards, track metrics, develop models and analyze results. This role combines deep data fundamentals and thorough analytical rigor with strategic product thinking to influence investment decisions.
What Youll Do:
Work cross-functionally with Product, Engineering, Leadership and Design teams to deeply understand business needs and translate them into data requirements, well-defined metrics, and analytical tools to enable KPI tracking
Design, build, and maintain scalable, reliable data models and infrastructure to support analytics, operations, and product use cases
Champion data quality, documentation, and execution to ensure observability and trust across the organization
Own all data aspects of the flights team line of business
Spearhead AB testing development and implementation to increase deployment trust.
Support ongoing and adhoc analyses to ensure business goals are met and to uncover areas of opportunity.
Requirements:
+6 years in analytics engineering, data engineering, or data analytics, preferably in travel or consumer tech companies
Technical orientation and proven hands on experience
Highly proficient in SQL and data modeling for complex analysis across large datasets
Experience synthesizing complex data into actionable insights by utilizing a full modern data stack (dbt, Snowflake preferred) and data visualization platforms (Thoughspot preferred)
Ability to balance multiple priorities in a fast-paced, high-growth environment, while working cross-functionally with Product, Finance, Engineering, and GTM teams
Experience working with data modeling tools such as dbt
Demonstrated success translating complex business requirements into scalable data solutions
Knowledge in SaaS terminology and KPIs.
Strong background in data warehousing concepts, dimensional modeling, and analytics methodologies.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8511529
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