דרושים » מערכות מידע » salesforce system Analyst

We are looking for a highly analytical, deeply technical, and proactive Senior Salesforce and Business Applications Analyst to join our team. In this role, you will champion an AI-first approach, leveraging AI across every aspect of your work to optimize efficiency and drive innovation.
You will bridge the gap between business needs and technical execution, taking full ownership of complex systems and driving end-to-end processes. Your focus will be on supporting, enhancing, and automating our operations across various Gett business domains, including Sales, Service, and Marketing.
This hands-on role encompasses managing daily system maintenance, configuring systems, integrating AI-driven workflows, and overseeing projects from inception to completion.
Key Responsibilities:
End-to-End Project Management: Manage complex, cross-functional projects from initial ideation, through requirements gathering, to successful deployment and optimization.
Drive Innovation & Initiative: Act as a proactive change-agent. Identify business gaps, propose innovative solutions, and passionately push new initiatives forward to improve efficiency and performance.
System Ownership: Take full accountability and end-to-end ownership of the systems health, functionality, and alignment with business goals.
Mentorship & Leadership: Guide, mentor, and upskill junior team members, fostering a culture of continuous learning and professional excellence within the team.

About Mindspace Founded in 2014, Mindspace is a leading flexible workspace provider with an expanding footprint in Europe, Israel and the US. Our design-led office spaces and on-demand offerings such as meeting rooms, event spaces and daily offices provide the ideal solution for enterprise companies, startups, small businesses and entrepreneurs adapting to today’s fast-evolving hybrid work environment. Mindspace is considered a lifestyle brand that has been bringing hospitality into the world of work, always putting service and experience first. A profitable operator, Mindspace has over 15.000 members in more than 40 prime locations spread across cities such as San Francisco, New York, Miami, London, Berlin, Frankfurt, Amsterdam, Tel Aviv, Warsaw, Bucharest, and more. Why you’ll love working at Mindspace? Mindspace is a place where employees can thrive and further develop their skill set in an inspiring and nurturing environment: great vibe, employee wellbeing, diverse community, boutique design. You’ll work with some of the best people in the industry, who love what they do. You’ll be part of a global company with deep respect and understanding for the local culture of each of its markets. Our growth is intrinsically connected to that of our employees, and as a Mindspace employee, you’ll be presented with long term career opportunities, globally. Who is the ideal Mindspacer? You’re a team player. You take pride in what you do and have a mindset of “I’m all in” when you do it. You know when to take action and how to take the areas of your responsibility to the next level - excellence is the name of the game. You know how to ‘read the room’ and understand the professional environment you’re in. About the position We’re looking for an exceptional professional who connects data, Salesforce, and AI technologies - and drives real transformation across the organization. This role is designed for someone who doesn’t wait for instructions, but instead identifies problems, dives deep, and builds solutions from scratch. What you’ll do:
* Lead business process transformation using data and AI
* Work hands-on with Salesforce (Sales Cloud) to improve sales, marketing, and operational workflows
* Design and implement smart solutions - automations, predictive models, and AI-driven recommendations
* Build and optimize automations using Salesforce Flows and validation rules
* Analyze business processes and proactively suggest improvements
* Connect multiple data sources and systems through integrations and APIs
* Ensure data quality, reliability, and consistency across platforms
* Identify bottlenecks and business challenges, and own solutions end-to-end
* Collaborate closely with Sales, Marketing, Product, and Operations teams
* Support user adoption and guide teams in leveraging systems effectively
* Continuously explore and implement new AI tools and Salesforce capabilities

As our Salesforce & GenAI Builder you will be responsible for designing, developing, and implementing solutions on the Salesforce platform and other business application platforms, as well as architecting and deploying GenAI-powered solutions that improve and transform business processes. You will serve as a technical expert, ensuring scalability, reliability, and performance of our business application environment
Are you a highly skilled individual with a passion for Generative AI and a deep, hands-on understanding of Salesforce? Are you ready to take the next step in a dynamic career at the intersection of CRM implementation, development and cutting-edge technology?
our companys Information Systems department is expanding, and we have a unique opportunity for you to join our team as a Tech Specialist focused on Salesforce implementation and Generative AI innovation. We are seeking a skilled, passionate individual who possesses a strong technical background, deep Salesforce expertise, and hands-on knowledge of GenAI tools and architectures.

We are looking for a hands-on expert who combines strong technical depth, ownership mindset, and the ability to lead delivery with trust and accountability.
This is a temporary role for Maternity leave replacement
Key Responsibilities
Own end-to-end delivery of Salesforce Service Cloud solutions, from requirements through design, implementation, and deployment
Act as a technical owner, ensuring high-quality, scalable, and maintainable solutions aligned with best practices
Lead and manage project execution, including planning, prioritization, stakeholder alignment, and on-time delivery
Design and implement Service Cloud capabilities (Case Management, Omni-Channel, Knowledge, automation) with strong attention to performance and usability
Build trusted partnerships with business stakeholders by providing transparency, clear communication, and reliable execution
Promote innovation and AI-driven enhancements, identifying opportunities to leverage Salesforce AI (Einstein/Copilot) to improve support processes.

We are looking for a mid-level Salesforce Developer to join the Business Automation team. The role focuses on building scalable solutions, supporting cross-functional initiatives, and enhancing Salesforce capabilities across Sales, Operations, and Support.

Responsibilities:
Design, develop, and implement Salesforce solutions using Apex, Lightning Components (LWC/Aura), and Flow.
Customize Salesforce objects, fields, validation rules, and automation logic
Build and maintain integrations between Salesforce and external systems (APIs, middleware, Power Platform, etc.).
Translate business requirements into technical solutions in collaboration with stakeholders (Sales Ops, Finance, Support, etc.).
Optimize system performance, handle technical debt, and improve existing automations.
Troubleshoot and resolve production issues and bugs.
Ensure compliance with security, data governance, and best practices.

abra professional services is seeking a Data Analytics Architect / Principal Data Engineer We are looking for a skilled Data Analytics Architect / Principal Data Engineer to lead the organization’s analytics data domain, design large-scale data architecture, build advanced analytical models, define organizational data modeling standards, and implement innovative AI and LLM-based technologies. This role requires deep expertise in data engineering, analytics, BI, SQL, PostgreSQL, data modeling, performance optimization, data governance, and the integration of AI tools into data engineering processes. A full-time hybrid position based in Central Israel. The first 4–6 months will be based in Tel Aviv, followed by a transition to the Lod area. The position includes 1 day a week remote. Key Responsibilities:
* Design and develop data architecture that supports large-scale analytics and business intelligence.
* Lead the design and implementation of complex data models and enterprise data modeling solutions.
* Define organizational standards, methodologies, and best practices in the data domain.
* Optimize database performance, analytical queries, and reporting processes.
* Lead LLM-based development and implement AI tools within data engineering processes.
* Mentor data engineers, conduct code reviews and architecture reviews.
* Collaborate with management and business stakeholders to build a technological roadmap.
* Establish frameworks for data quality and data governance.
* Lead initiatives to improve the reliability and stability of BI and analytics systems.
* Evaluate new technologies and lead the adoption of innovative solutions across the organization.
* Lead the design and implementation of end-to-end analytics platforms.

we are looking for a Data Analyst (Maternity leave).
As part of data team, you will be the gateway of data from multiple sources and of multiple partners. The data team is a part of research & data science department, and its mission is to integrate, align, analyze, and extract data to serve decision making processes across.
Responsibilities:
Define and implement data policies, logics, and structures that will best serve the companys capability to improve its modeling, business understanding, and strategic decision making.
Own and create end to end data products, from raw data to monitoring and analysis tools.
Write and execute complex SQL queries for data retrieval and alignment.
Prepare on demand data analysis and reports for various stakeholders including management using Python/SQL/other data analysis instruments, processing large and complex data sets.
Full responsibility for new partners' data integration process, including business requirements definition, data processing and verification.
Explore new data sources and communicate insights to partners, internal stakeholders, and management.
Work closely with cross-functional teams, such as research, engineering, product, and finance, to define business needs and design data models to serve them.
Gain a wide knowledge of operational, business, and technological activities in order to add value and support achieving goals.
Assist to create structured data processes that will enable the companys scalable growth.

We are seeking a Senior BI Engineer to serve as the primary interface and strategic analytics partner between Data Engineering / DWH teams, management, and business leaders. In this strategic role, you will work closely with leadership and business partners to translate business objectives into actionable data solutions, establish analytics standards and best practices, and lead experimentation across core business processes. You will also plan, prioritize, and manage analytics initiatives and roadmaps, ensuring the timely delivery of insights and solutions that drive informed decision-making across Marketing, Sales, Finance, Support, and Customer Success.

Key Responsibilities

Serve as the primary interface and analytics partner between Data Engineering / DWH teams and business stakeholders
Translate business needs into analytics requirements, specifications, roadmaps, and prioritized backlogs
Collaborate with Data Engineers on DWH requirements, data models, and pipelines
Plan, coordinate, and track analytics initiatives and projects to ensure timely delivery and alignment with business objectives
Support stakeholders in understanding, interpreting, and using ingested and production data
Define and own analytics standards, metrics, and best practices across the company
Design, execute, and analyze experiments to optimize core business processes
Define dashboard requirements and deliver impactful dashboards and insights
Work with Systems, Product, and R&D teams to map data sources, address data gaps, and improve data quality

We're looking for an experienced Data Analyst to join our growing Data team and help shape one of the core functions at our company.
This isn't a traditional BI or Product Analytics role. You'll work across engineering, data science, product, research, and customer-facing teams to understand complex data from enterprise environments, transform it into a consistent data model, and generate insights that directly power our product and customer experience.
You'll wear multiple hats-from researching new data sources and designing scalable data models to supporting customer onboarding, surfacing meaningful insights, and helping define how our data platform evolves as the company grows. This also means getting hands-on in the codebase: you'll regularly modify logic in production system components, not just analyze data from the outside.
If you're someone who enjoys turning messy data into clear decisions, thrives in ambiguous environments, and wants to build the foundations of a data function from the ground up, we'd love to meet you.
What You'll Do
Research and evaluate new customer data sources, APIs, and integrations, understanding what data is available, how reliable it is, and how it can create value.
Analyze large, complex datasets to identify patterns, anomalies, and actionable insights that improve our product and customer outcomes.
Design and evolve our company's data models, creating a unified language across data coming from multiple integrations and systems.
Partner closely with Engineering and Data Science teams to define schemas, data structures, and scalable modeling approaches.
Build and modify logic in system components as part of regular delivery, not just spec it for someone else to build.
Support customer onboarding by validating incoming data, identifying issues, and ensuring customers receive meaningful insights from day one.
Deliver customer-facing analyses, reports, and recommendations while working against real customer deadlines.
Help define the foundations of our company's data function by evaluating tools, methodologies, and best practices that will scale with the company.
Work closely with Product to ensure product decisions are informed by data and grounded in real customer behavior.
Collaborate on AI-powered capabilities by helping define the data, signals, and requirements that enable intelligent product features and autonomous workflows.

We are looking for a sharp and driven Data Solutions Analyst to join a newly formed team and help build the analytical foundations behind some of our strategic growth initiatives from the ground up. This is a unique opportunity to influence how new businesses operate and scale across Amazon, D2C, Paid Media, and emerging growth channels. You will have ownership over both the measurement frameworks and the solutions that drive business growth.

Working at the intersection of Data, Marketing, Product, and Business, you will identify opportunities, define success metrics, uncover insights, and build the solutions needed to turn those insights into action. This role combines analytical ownership with hands-on solution development, leveraging data, automation, AI, and modern tooling to solve business challenges end-to-end. Success in this role is measured not only by the quality of your analysis, but by your ability to translate business challenges into scalable solutions that drive measurable impact.

Roles and Responsibilities:
Build analytical infrastructure, measurement frameworks, and decision-support capabilities from the ground up for new and rapidly growing business units.
Evaluate performance across Amazon, D2C, Paid Search, Paid Social, and emerging channels, identifying growth opportunities, business risks, and areas for optimization.
Translate business challenges into scalable solutions by combining AI powered automation, agents, workflows, and building tools that drive business impact.
Design, build, and maintain dashboards, monitoring systems, analytical products, and self-service tools that enable teams to make faster and better decisions.
Own the Semantic Layer: Maintain and scale our unified BigQuery Semantic Layer, ensuring a single source of truth for business and analytics metrics.
Partner closely with Marketing, Product, and Business stakeholders to understand business needs and drive end to end solutions from idea to implementation.