לוח משרות דרושים Data Analyst

We are looking for a Salesforce Business Analyst to join the CRM (Salesforce) team, which is responsible for supporting global users and is in charge of global business processes.

The Salesforce Business Analyst will support global stakeholders and users and create project plans, track progress and create training materials.

You should apply if you are a team player who can drive complex projects to completion - we offer a great working environment in a successful company and development opportunities going forward.

The Salesforce Business Analyst will report to CRM Manager.

Your key responsibilities will include:

Establish working processes to ensure timely and high-quality delivery.
Design and implement solutions on the Salesforce platform.
Manage and lead projects in Salesforce ecosystem.
Design and implement new business requirements to improve business processes

Were looking for an Analytics Engineer to join our team and play a key role in shaping how data drives our product and business decisions.
This role is perfect for someone who enjoys working at the intersection of data, product, and strategy. While Product Analysts focus on turning data into insights, youll focus on building the strong data foundations that make those insights possible. You wont just run queries; you will design the data architecture and own the "source of truth" tables that power our strategic decision-making.
Youll work closely with our Growth and Solutions teams, helping them move faster and smarter by making sure the data behind Generative AI, Data-as-a-Service (DaaS), and advanced product models is clear, reliable, and easy to use. Your work will have a direct impact on how we build, scale, and innovate our products.
What Youll Do:
Define the Source of Truth: Take raw, complex data and transform it into clean, well-structured tables that Product Analysts and Business Leads can use for high-stakes decision-making.
Translate Strategy into Logic: Work with Product, Growth, and Solutions leads to turn abstract concepts (like "Activation," "Retention," or "Feature Adoption") into precise SQL definitions and automated datasets.
Enable High-Tech Initiatives: Partner with our AI and DaaS specialists to ensure they have the structured data foundations they need to build models and external data products.
Optimize for Usability: Ensure our data is not just "there," but easy to use. You will design the data logic that powers our most important product dashboards and growth funnels.
Maintain Data Integrity: Act as the guardian of our metrics. You will ensure that the numbers used across our product and business reports are consistent, reliable, and logical.

Were looking for a Senior Data Product Manager to drive the strategy, architecture, and execution of the data products that power . This role is at the core of our data innovation engine, serving multiple business units and platform products across the company. You will lead cross-functional efforts to define, experiment, deliver, and scale data assets that are foundational to the products and its market differentiation.
This role offers a unique opportunity to lead high-scale, high-impact data products by collaborating with various R&D data teams, product, and business stakeholders to architect modular, trusted, large scale and intelligent data systems.
We're looking for a true data enthusiast: someone passionate about translating business needs into data solutions, experimenting with data, building strong relationships, shaping methodologies and processes for various data sets, and owning complex data initiatives from end to end.
This role will report to the Director of Product Management, Core CI.

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

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.

About Us: We are a pioneering fintech part of robust business foundation, dedicated to building the next generation of solutions and shaping the future of digital transactions. We are on the lookout for a dynamic and talented Data Analyst who will turn complex payment data into actionable insights, drive product innovation, develop advanced fraud prevention strategies and enhance the customer experience. Your work will empower analytics, support advanced initiatives, and enable innovative, data-driven decisions that fuel growth and transformation
Role Overview In this role, you will analyze, interpret, model and visualize data to support data-driven decision-making across the organization. You will be responsible for transforming raw data into meaningful insights, developing predictive models, reports and dashboards, and ensuring the accuracy and reliability of analytical outputs. We are looking for someone who is passionate about data, understands payment ecosystems, and thrives in a fast-paced, tech-driven and competitive environment.

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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.

Responsibilities
Payment Performance Optimization: Analyze payment processor performance to drive smart routing decisions, reduce costs, and improve approval rates.
Fraud Detection & Risk Analysis: Identify fraudulent trends, develop risk indicators, and support initiatives to reduce chargebacks and fraud rates.
Market Expansion & Payment Innovation: Research emerging payment trends and user behaviors to identify and support the integration of innovative payment methods tailored to regional needs.
User Experience Analysis: Analyze data and feedback to identify opportunities to streamline and enhance the payment funnel, ensuring a seamless and efficient checkout experience.
Reporting & Insights: Create dynamic, Payments-specific dashboards and operational reports to monitor payment KPIs and performance trends.

Responsibilities:
Monitor paying & payout activities and user behavior to identify and prevent fraud.
Conduct thorough investigations of suspected fraudulent activities.
Prepare reports on fraud trends, mitigation efforts, and success metrics.
Analyze, review, and assess the effectiveness of existing fraud prevention measures, and recommend improvements as needed.
Handle escalations and act as a focal point for fraud-related issues.
Collaborate with diverse teams, provide feedback and guidance for relevant stakeholders, and improve practices.
Create and maintain monitoring capabilities and practices to detect suspicious activities.
Generate and utilize data-driven insights to enhance decision-making processes and improve the effectiveness of fraud prevention efforts.
Stay up to date with industry trends and emerging fraud risks to proactively adapt and improve fraud prevention strategies.

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.

We are seeking for an individual with the skills and motivation to become a data analyst in a global leading company.
You will get the opportunity to work with talented data analysts worldwide, in a variety of topics using different BI tools in an advanced environment.
Key Responsibilities
You will learn the business needs of the various departments in the organization.
Build analytic reports to provide business insights.
Responsible for the ongoing development of the companies reporting catalog.
Initiate advanced analytics projects.

We are looking for an experienced Cloud Data Presales professional who helps customers understand the possibilities of big data, analytics, AI, and ML across EMEA. As a Data Presales, you will be the first point of contact for the customer regarding data, and you will be responsible for defining the right data strategy for them. As a Data Presales, you will work closely with Data Architects, Engineers, and Project Managers. Perform feasibility analyses, present data use cases, simplify and hold presentations in front of IT and non-IT people, and position the topic of data and AI with customers.

Responsibilities:
Support the Sales team by explaining opportunities in Big Data, Analytics, AI, and ML.
Guide clients to understand data: opportunities, threats, and action plans.
Conduct interviews, brainstorming sessions, and workshops with client teams and executives on data-related topics and projects.
Develop strategic and action plans.
Collaborate with external vendors and partner technologies.
Comprehensive project and team management of Data Scientists, Engineers, and other stakeholders.
Be an online and offline ambassador for the data practice.

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.

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.