דרושים » תוכנה » Digital Systems Analyst (ניתוח מערכות דיגיטלי)

We are seeking a highly experienced Senior SAP OTC Analyst to take ownership of our global OTC processes, partner closely with business and operational leaders, and help prepare the foundation for our future SAP S/4HANA transformation.
This role is critical for supporting our global commercial operations, ensuring seamless order flows, and delivering best-in-class system solutions.
You will be responsible for the design, architecture, configuration, and support of SAP Order-to-Cash applications across multiple regions. You will collaborate with business teams, GPOs, solution architects, and cross-functional IT teams to deliver robust, scalable solutions aligned with global business needs.
You will support our current SAP ECC landscape while actively preparing our OTC processes for our future S/4HANA migration.
Key Responsibilities
Lead functional solution design for OTC processes in alignment with global business requirements.
Conduct requirement-gathering sessions with Business, Operations, and GPO stakeholders.
Evaluate solution alternatives and select the preferred architecture for complex OTC scenarios.
Configure SAP ECC for OTC end-to-end processes: Order Management, Pricing, Delivery, Billing, Credit Management, Revenue Recognition, and Integrations.
Ensure cross-module alignment with SD, MM, FI/CO, Logistics, BRIM, and external systems
Drive configuration, testing, documentation, and deployment for all OTC-related projects.
Prepare high-quality functional specifications for RICEFW objects, integrations, and enhancements.
Support global template harmonization and process standardization
Provide expert-level support for complex OTC issues across regions.
Partner with the production support manager to analyze recurring issues and implement preventive solutions.
Monitor system performance and reliability, ensuring smooth operational flows
Work closely with commercial, customer service, finance, logistics, and IT architecture teams.
Act as the liaison between business stakeholders and technical development teams.
Ensure seamless integration with CRM (e.g., Salesforce / SFDC) and other global platforms.
Mentor junior analysts and team members, promoting functional excellence and best practices.
Support training, documentation, and knowledge transfer activities.
Contribute to future SAP S/4HANA readiness and migration planning.

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.

Required Salesforce Analyst
Position Overview:
Be a part of the Global Business Applications group, leading our Post-sale and service organization from an information system perspective using the latest technology of salesforce, Gainsight, Five9, and other related tools including managing integrations between the different information systems, where youll play a key role in shaping our information systems. Leverage cutting-edge Salesforce technologies and related tools to drive business impact, while managing integrations across multiple platforms to ensure seamless data flow and operational efficiency.
Working with latest technology of Salesforce such as Experience cloud (Customer community including e-Commerce, internal community), Digital engagement, Einstein Prediction as well as Learning management system (Appinium), Five9 call center, CMS. Responsible for integrations and creating processes cross-systems.
Using the tools like Agentforce and SF flows you will build customer journeys to support both our employee and the end users. You will be working together with the business in building processes and solutions that simplify both for the customer and the employee.
Key Responsibilities:
Own and manage end-to-end projects and items, from initial scoping and stakeholder alignment through execution, testing, deployment, and post-launch support.
Lead and deliver end-to-end Salesforce Customer Experience solutions, driving initiatives such as Customer Success, Customer Support, Training, Services and more.
Work closely with business stakeholders and technical teams to design and execute complex projects using both out of box features.
Design and analyze various business processes and related data from the requirements gathering to implementation and roll out.
Responsible for evaluating and recommending a configuration that maximizes software capabilities.
Maintenance including problem (ticket) resolution within SLA and highest quality.
Evaluate new tools to be implemented with integration to Salesforce to drive solutions to business process issues and maintain data integrity.
Participate in Agile ceremonies and work within Scrum sprint cycles to prioritize, plan, and deliver Salesforce-related tasks and enhancements.

Required BI & Product Analyst
Position Overview
Are you passionate about turning data into real-world impact? Were looking for a sharp, data-driven thinker and doer to join our product team. As our Product & BI Analyst, you wont just crunch numbers-youll unlock insights that shape how we build, deliver, and scale products that make a difference in peoples lives. Youll be at the intersection of product, operations, and strategy-empowering teams across the company to make smarter, faster, and more impactful decisions.
Key responsibilities:
Own the BI domain: Lead company-wide analytics, define processes, and champion a data-driven culture.
Enable data-driven teams: Partner with Product, Operations, Customer Success, Marketing, and Sales to track KPIs, analyze performance, and uncover improvement opportunities.
Turn data into impact: Identify trends, anomalies, and opportunities that shape product and business decisions.
Define KPIs and data needs: Collaborate with Product and R&D to define success metrics, guide event implementation, and ensure relevant data sources and flows are in place.
Design accessible reporting interfaces: Build intuitive dashboards and reports that provide easy access to key metrics and clearly surface insights for each stakeholder.
Recommend the right tools: Evaluate and guide the selection of data tools that support evolving business needs.

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications. Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.
In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.
You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.
Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.
Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.
Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Data Engineer, Product Analytics Responsibilities
Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve
Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
Define and manage Service Level Agreements for all data sets in allocated areas of ownership
Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership
Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts.

We are seeking a highly motivated and analytically driven Junior Product Data Analyst to join our amazing, growing team. This is an exceptional entry-level opportunity for a recent graduate eager to apply their strong analytical capabilities in a challenging and high-impact environment. Youll play a crucial role in understanding user behavior, optimizing product performance, and contributing to data-driven decision-making that directly shapes the future of our globally-used applications.
What Youll Do:
Support Product Insights: Collecting, processing, and analyzing product performance data, user feedback, and market trends to generate actionable insights.
Data-Driven Optimization: Contribute to analyzing the success of new features post-release, monitoring usage patterns, and supporting tests to optimize performance and business results.
Problem Identification: Help identify opportunities for key initiatives to enhance the customer experience through rigorous data examination.
Cross-Functional Collaboration: Work closely with our R&D and Graphics teams, contributing to detailed specifications and understanding the product lifecycle from a data perspective.
Market Understanding: Support research into market dynamics, competitive landscapes, and user needs to inform product strategies.

A leading Israeli company specializing in SaaS-based software solutions for managing organizations Human Resources, is looking for a Systems Analyst to define and specify web and mobile systems, from planning to production.
Key Responsibilities:
Define web and mobile systems, create Detailed Design documents.
Understand business and technical requirements, coordinate with development and production teams.
Conduct testing, optimize web systems, and provide maintenance and support.

We are a development team (R&D) building a client-server system on Microsoft Azure, operating over an advanced cloud-based data infrastructure. We are currently transitioning from a legacy SQL Server and Analysis Services stack to modern platforms including Snowflake and Azure Data Explorer (ADX).
As part of this transformation, were looking for a sharp and driven Data Analyst to help us extract insights, shape our data for Machine Learning and AI, and directly influence business decisions.
What will you do?
Analyze complex datasets from diverse sources (Snowflake, ADX, logs, APIs, etc.).
Identify actionable insights and communicate findings clearly to business and product stakeholders.
Build dashboards and monitoring tools using Power BI / Tableau / Looker (or similar).
Collaborate with development, product, and data engineering teams.
Prepare and process data for ML/AI purposes (feature engineering, labeling, etc.).
Lead ad-hoc analyses and data-driven PoCs to support decision-making.

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 looking for a brilliant Data Analyst to join our fast-growing company and Data department.
As part of this role, you will join the Performance Analytics team, which takes a central and holistic position in the company. You will be in charge of defining and monitoring high-level company KPIs that are reported to executives and suggesting proactive actions that create meaningful business impact. You will work both independently and collaboratively on some of the most interesting and innovative analyses in the online industry.
Were looking for someone who is AI-native, tech-savvy, and curious by nature - a self-learner who takes ownership, explores automation and AI tools to enhance analytical workflows, and proactively turns data into action.
This position is temporary, a replacement for maternity leave.
What am I going to do?
Serve as the data analyst focal point for all business & engineering-related teams
Define new business KPIs, unit objectives, and create supportive infrastructure for measuring them
Track and analyze business performance wisely, alerting and investigating abnormal trends
Provide actionable recommendations and conclusions based on in-depth analysis to various stakeholders
Leverage AI-driven tools and automations to streamline analysis, detect insights faster, and optimize data operations
Manage multiple tasks at a time in a fast-paced environment.