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

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 an experienced Analytics Engineer to join our Clinical Value team and develop the data foundations, infrastructure, and analytical tools that enable our work.
This hybrid role combines Analytics Engineering with hands-on data analysis. You will translate complex analytical and clinical needs into scalable, reliable, and reusable data solutions.
You will design data models, pipelines, analytical layers, and tools that enable complex Clinical Value studies across products and customers, while remaining hands-on with selected analytical projects.
You are expected to be independent, proactive, and impact-oriented, taking end-to-end ownership of technical challenges and opportunities for improvement.
evaluation.
Responsibilities:
Design, build, and maintain the data infrastructure supporting Clinical Value analyses, including reusable data models, pipelines, analytical layers, and tools.
Own the technical and analytical implementation of complex Clinical Value applications, adapting established methodologies to different products, customers, and real-world data environments.
Develop complex analytical solutions into reusable and scalable frameworks, enabling broader and more efficient execution across the team.
Identify data-quality issues, technical bottlenecks, and repetitive processes, and develop solutions and automation to improve reliability and efficiency.
Work closely with analysts, Data Engineering, and other technical teams to translate analytical needs into effective, maintainable data solutions and establish best practices.
Lead selected hands-on data-analysis projects, analyzing complex clinical and operational datasets to generate credible, actionable conclusions.
Collaborate with Go-to-Market teams, including Customer Success, to understand customer needs and support impactful customer-facing value demonstrations.

we are looking for a Data Analyst.
As a Data Analyst, you'll play a key role in shaping product strategy and business decisions by turning complex data into actionable insights. You'll partner with Product, Engineering, and customer-facing teams to build scalable analytics solutions, define success metrics, and uncover opportunities that drive impact across our platform
What youll do:
Own the product analytics domain for key Autofleet products and strategic initiatives, with a focus on user behavior and product engagement.
Design, build, and own our product analytics infrastructure (event tracking, taxonomy, instrumentation) from the ground up, primarily using Mixpanel.
Define and maintain a clean, scalable event-tracking taxonomy in partnership with Engineering and Product.
Analyze large-scale product and behavioral datasets to identify trends, opportunities, and business insights.
Design, build, and maintain dashboards and reporting solutions using Mixpanel and other modern BI tools.
Develop automated data pipelines and analytical workflows using Python and Airflow.
Partner closely with Product Managers to define KPIs and metrics (activation, retention, funnels, engagement), measure success, and support product decision-making.
Work with customer-facing teams to provide insights and occasionally participate in customer discussions and presentations.
Build internal tools and processes that improve data accessibility and operational efficiency.
Translate complex data findings into clear recommendations for both technical and non-technical stakeholders.

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.

About the Role
In partnership with our company, join a leading financial organization and take a key role in analyzing and shaping complex processes and systems within the Capital Markets domain. As a System Analyst, you'll work closely with business stakeholders, technology teams, and external partners to understand, challenge, and translate business requirements into effective processes and system solutions. We're looking for an experienced System Analyst with a strong background in Capital Markets, Trading, Investments, or Financial Systems - someone who combines business understanding with a systems-oriented perspective.
What You'll Do
Analyze, challenge, and translate business requirements into detailed processes and system specifications.
Define business processes, information systems, and interfaces supporting Capital Markets activities.
Design and optimize B2C, B2B, and self-service processes across digital channels.
Analyze processes supporting bankers, branch systems, and trading platforms.
Work closely with stakeholders across business and technology units, as well as external partners.
Lead cross-functional discussions and coordinate multiple stakeholders throughout the product lifecycle.
Identify business and system requirements and support their implementation across relevant systems.
Take an active role in addressing challenges and driving solutions throughout the lifecycle of products and initiatives.

We are seeking an experienced sharp and dynamic analytical mind to join our Product Analytics team as a Strategic product analyst. This position is ideally suited for those who are naturally passionate about learning, gaining knowledge, and analyzing anything they do and see with experience in utilizing data to make a significant impact.
The role requires a combination of analytical, technical, problem-solving, communication, and project management skills, and it involves working closely with various stakeholders and customers - including Product Managers, Customer Success Managers, Operations teams, Data Engineers, UI/UX Designers, SW developers, and AI experts at all levels.
Responsibilities:
As a Strategic product analyst at Aidocs Analytics group, you will play a critical role in expanding our data-driven vision and building analytics capabilities that create value for both our customers and internal teams. Your work will include:
Building scalable customer-facing analytics and data-sharing products, transforming complex data and customer needs into reliable, intuitive, and standardized solutions.
Partnering with Customer Success and Product teams to understand how customers use our products, identify opportunities to improve adoption and demonstrate value, and translate site needs into scalable analytical solutions.
Leading strategic analyses across products, workflows, and clinical domains, connecting data from multiple parts of Aidocs ecosystem to uncover insights and support business and product decisions.
Designing product KPIs and measurement frameworks, monitoring trends, and working with key stakeholders to translate findings into actionable insights.
Conducting decision-support analyses for Product, Customer Success, development, and operational initiatives.
Designing and improving scalable data models and analytics infrastructure that support customer-facing products, internal analytics, and repeatable analytical capabilities.
Continuously expanding our analytics knowledge base, improving data quality and reliability, and documenting learnings to strengthen the teams collective expertise.

We're looking for an experienced, results-driven Sales Team Lead to lead our growing sales team.

In this role, you'll be responsible for managing and developing a team of Account Executives while driving sales performance, improving sales processes, and building scalable strategies for continued growth.

You'll play a key role in shaping our go-to-market approach, working across inbound and outbound channels, and ensuring the team consistently delivers outstanding customer experiences and exceeds revenue goals.

What youll do:

Lead, coach, mentor, and develop a team of Sales Representatives and Account Executives.
Manage the team's performance through KPIs, forecasting, pipeline reviews, and regular 1:1 meetings.
Own the entire sales process, ensuring consistent execution from lead qualification to closed-won deals.
Develop and implement sales strategies for SMB, Mid-Market, and Enterprise customers.
Drive both inbound and outbound sales activities to maximize revenue growth.
Analyze sales performance and identify opportunities for continuous improvement.
Work closely with Marketing to optimize lead generation and conversion.
Collaborate with Customer Success and Product teams to improve customer experience and sales effectiveness.
Recruit, onboard, and train new sales team members.
Maintain accurate forecasting and CRM hygiene across the team.
Stay up to date on market trends, customer needs, and competitor activity.

we are seeking a Senior Data Analyst position to join the BI Team, with a passion for technology, to solve unique problems within our measurements. Our team solves many challenges in turning raw data into accurate signals and extracting insights to improve the 365Scores products. Appropriate candidates have an understanding of multiple components across the big data stack: large-scale data analysis, data quality, statistics, and visualization. If you are the kind of researcher who's focused on results and a quick learner, this role is for you. This position is located in our Tel Aviv office.

Responsibilities
Function as the data authority in the Monetization domain - performing ad-hoc research and analysis on the company's rich data to support unique and strategic business questions.
Define, analyze, and monitor KPIs and OKR metrics to continually improve company products.
Analyze large, complex data sets to address strategic and operational business questions.
Actively take part in building and maintaining our AI Driven-BI Agentic Architecture.
Build dashboards and visualizations to answer key questions for the company's in-house various teams, specifically for the Monetization Team.
Perform qualitative, quantitative, and statistical analysis.
True passion for understanding data and finding Insights.
Provide actionable recommendations and conclusions from data to shape features and future product road maps.

As Head of Analytics, youll lead the analytics team and strengthen how data is used to support decision-making across the company. Reporting to the VP of Data & Analytics, youll translate the broader data strategy into clear priorities, high-quality analytical delivery, and measurable business impact.

Youll manage and develop teams of analysts and BI, partner closely with senior stakeholders across Product, Sales, Marketing, Finance, Customer Success, and Operations, and ensure that the company has trusted metrics, actionable insights, and scalable analytical capabilities.

This is a strategic and hands-on leadership role. Youll be expected to set direction, create structure, raise analytical standards, and remain closely involved in the companys most important business questions.

Youre welcome to work in our offices in Tel Aviv, Israel

Your responsibilities will include:

Team leadership and development. Lead, mentor, and develop the analytics team. Set clear expectations, establish ownership, support professional growth, and create a high-performance culture focused on business impact, analytical quality, and accountability.
Analytics strategy execution. Partner with the VP of Data & Analytics to shape the analytics strategy and own its execution, prioritization, and delivery. Translate company goals into a clear analytics roadmap and ensure resources are focused on the highest-impact business needs.
Business partnership. Act as a trusted analytical partner to senior leaders across Product, Sales, Marketing, Finance, Customer Success, and Operations. Understand their objectives, challenge assumptions, and help turn strategic questions into measurable decisions and actions.
Decision support and advanced analysis. Lead high-impact analyses across customer behavior, product performance, revenue, retention, pipeline, operational efficiency, and business growth. Ensure findings are translated into clear recommendations rather than presented as data alone.
Metrics and analytical governance. Establish and maintain consistent KPI definitions, business logic, and analytical standards. Ensure stakeholders use trusted and aligned metrics across dashboards, reports, forecasts, and business reviews.
Dashboard and reporting oversight. Guide the design, implementation, and improvement of executive and operational dashboards. Ensure reporting is relevant, reliable, easy to use, and aligned with business priorities.
Self-service analytics. Enable business teams to access and use data independently while maintaining appropriate governance, security, quality, and consistency. Identify where self-service creates value and where centralized analytical support is required.
AI-driven analytics. Help define and implement AI-assisted analytics capabilities that reduce manual reporting, accelerate insight generation, support natural-language access to data, and proactively surface risks or anomalies. Establish clear quality and validation standards for AI-generated outputs.
Cross-functional data collaboration. Work closely with Data Engineering, Data Architecture, and other technical teams to ensure that analytical datasets, semantic models, and data pipelines support current and future business requirements.
Operating model and prioritization. Build scalable processes for intake, prioritization, delivery, documentation, and stakeholder communication. Balance urgent business requests with strategic initiatives and long-term capability development.