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Required Senior Business Application Analyst
If youre into online shopping (who isnt these days?), chances are youve crossed paths with us. Were all about eCommerce retentionhelping brands of every size turn one-time shoppers into lifelong customers.
Think loyalty programs, SMS and email marketing, and reviewsits what we do best. Plus, weve got more tricks up our sleeve.
With teams spread across the globefrom the US and Canada to the UK, Israel, Bulgaria, and Australiawere growing fast. Our main mission? Delivering cutting-edge technology that sets new standards in the industry.
Sounds exciting? Then read on, because were looking for curious professional talents to be a part of building the future of the e-commerce industry.
About the Role:
As a Sr. Business Applications Analyst, you will be critical in driving process improvements, developments and optimization of our Salesforce platform and other business applications. This hybrid position combines proven technical development understanding with business process analysis, allowing you to bridge the gap between business needs and technology solutions. Your primary focus will be on enhancing our systems to support business objectives, streamline processes, and improve operational efficiency.
You will work closely with cross-functional teams to understand our current Salesforce setup, identify areas for improvement, and implement scalable solutions that align with industry best practices and business goals.
Key Responsibilities:
Salesforce Development: Design, develop, and maintain Salesforce-based solutions, including custom applications, automation, and integrations with third-party tools.
Ensure best practices in Salesforce development, adhering to security, scalability, and maintainability standards.
Business Process Analysis: Collaborate with business stakeholders to evaluate and improve existing processes, identifying inefficiencies and proposing Salesforce-based solutions to ensure best practices in development, adhering to security, scalability, and maintainability standards.
Solution Design and Implementation: Develop technical specifications and implement thoughtful, high-quality solutions that meet business requirements, ensuring alignment with best practices.
Cross-Platform Solutions: Act as the technical point of contact for designing and implementing complex, cross-platform solutions, supporting all Information Systems (IS) initiatives.
Agile Development: Work in an Agile environment, contributing to user stories, continuous integration, and test-driven development to deliver high-impact solutions.
Documentation and Collaboration: Maintain clear and thorough documentation for all technical designs, processes, and solutions. Foster strong collaboration between technical teams and business users to ensure successful project outcomes.

Required Data Strategy Manager
Tel Aviv District, Israel
As our Data Strategy Manager, youre not just crunching numbers, youre crafting the bridge between what data can do and our business needs. Think of it as using BI/Analytics to crack the code on complex puzzles and clocking the wins in real, measurable ways.
You'll take charge of steering projects, tracking their progress, and quantifying their success, all while pushing the envelope on what data can achieve. Ready to blend your technical background with a keen business sense to drive excellence?
Join us on this journey to elevate our game through strategic data innovation.
In this role, you will be responsible for:
Leverage your extensive data domain expertise to generate strategic insights, and play a crucial role in developing and managing the semantic layer, ensuring data integrity, accessibility for analytics, and BI and company alignment around metrics.
Develop metrics and frameworks to assess the impact of data-driven initiatives on business performance, aligning with key goals.
Engage with stakeholders to collect requirements, map the company data sources, and deliver insights that inform strategic decisions and optimize data organization processes.
Champion the adoption of data-driven decision-making throughout the company, fostering innovation and continuous improvement.

We're looking for a Senior Backend Engineer to join the Acquisition team, as part of the Data Group.
In this role, youll play a key part in designing, developing, and maintaining our data gateway, integrating new data sources into our system, and tackling challenges related to scale, efficiency, and cost-effectiveness. Youll also help research and define solutions to complex technical problems as we continues to innovate in the SaaS security space.
Tech stack: AWS, Kubernetes, Python, Postgres, Redis, Rabbit, Kafka, Date-Lake.

Are you passionate about harnessing cutting-edge data science techniques to protect the world from cyber threats? Do you thrive in the dynamic world of cybersecurity? If so, we invite you to join our innovative and forward-thinking team at our company, where you'll have the opportunity to shape the future of cybersecurity and impact millions of customers.
As a Principal Data Scientist, you will apply your expertise in data analysis, machine learning, and cybersecurity to build new defense techniques against cyber-villains. You will be a driving force in designing and developing groundbreaking, ML-based security solutions that block attacks even before they begin.
Your Impact
Contribute to a diverse and highly skilled research group that pioneers state-of-the-art technologies to protect our customers
Utilize analytical rigor, statistical methods, programming, and data modeling to analyze vast amounts of data, applying your cybersecurity knowledge to guide our focus and approach
Decompose complex problems scientifically and provide actionable insights and recommendations to both technical and non-technical stakeholders
Lead and collaborate on end-to-end projects within the team and across engineering and product teams, from initial ideation to final deployment.

In your role as a Data Engineer, you'll be actively engaged in the most fascinating and demanding projects for our clients. Handling high-scale operations, heavy traffic, stringent SLAs, and massive data volumes is just the starting point. Our leadership in the realms of Big Data, Streaming Data, and Complex Event Processing (CEP) stems from our adept use of cutting-edge, optimal technologies.
Responsibilities:
Apply software-engineering methods and best practices (Medallion Architecture) in Data Lake management, using tools like DBT.
Develop Data pipelines to ingest and transform data.
Manage and enhance orchestrated pipelines across company
Data Modeling: Developing data models to ensure efficient storage, retrieval, and processing of data, often involving schema design for NoSQL databases, data lakes, and data warehouses. This will also include catalogs of data.
Scalability: Ensuring that the big data architecture can scale horizontally to handle large volumes of data and high traffic loads.
Data Security: Implementing security measures to protect sensitive data, including encryption, access controls, and data masking.
Data Governance: Establishing data governance policies to ensure data quality, compliance with regulations, and data lineage.

Join our Partners Data Team as a Senior Data Engineer and take on the challenge of designing, implementing, and maintaining critical data pipelines. You'll play a key role in ensuring data integrity and accessibility, enabling our teams to drive strategy and optimize partner experiences.
In your day-to-day, you will:
Design and implement data pipelines, ensuring the seamless flow of information into our data warehouse.
Develop scalable solutions to address data gaps and process design needs.
Monitor data pipeline performance, troubleshoot issues, and guarantee data infrastructure availability.
Collaborate with analysts and product managers to align data models with business priorities.
Engage with a diverse group of stakeholders, including data engineers, analysts, and data scientists, to support data-driven decision-making.

Were looking for a highly skilled Senior Database Engineer to join our DBA team. In this role, youll design and optimize Wixs large-scale database infrastructure while ensuring high availability, scalability, and performance. In your day-to-day, you will:
Design and optimize Wixs large-scale database infrastructure to meet high availability and performance standads .
Identify cost-effective areas for improvement in current databases .
Collaborate with developers and software architects to model, create, and maintain robust data structures and the Wix data layer .
Lead and execute technical database-related POCs and benchmarks .
Conduct regular audits of database design to ensure quality and compliance with service level agreements (SLAs) .
Quickly identify and resolve critical production issues and provide on-call support as needed.

We are looking for a Marketing Analytics team leader to join our team of marketing analysts. The ideal candidate will have a strong background in marketing analysis, combined with leadership experience.
What am I going to do?:
* Lead, manage, and develop a team of marketing analysts
* Oversee data collection, analysis, and reporting to support marketing strategies
* Collaborate with cross-functional teams
* Define KPIs and optimize marketing campaigns
* Drive insights and recommendations to enhance marketing performance
Equal opportunities:
At our company, we prioritize diversity. We celebrate difference and embed it into every aspect of our workplace and product, as well as our community. Fiverr is proud and committed to providing equal opportunity employment to all individuals regardless of race, color, religion, sex, sexual orientation, citizenship, national origin, disability, Veteran status, or any other characteristic protected by law. In addition, Fiverr will provide accommodation to individuals with disabilities or a special need.

As a Data Analyst you will be working with colleagues from various disciplines, such as - Product, Engineering, Marketing, Sales, Customer Success, Risk, Data Scientists within the team and other Data Analysts - on their KPIs, the way they observe information and the hardest questions each team is facing in order to drive insights and keep us a data driven company. You will play a key role in the ability of each team at Melio to keep scaling!

As a Data Engineer Tech Lead, you will play a central role in shaping our data strategy and guiding the team in building and optimizing analytics data pipelines that power business decisions across the organization. Beyond driving complex data initiatives, youll be a hands-on mentor and technical advisor, supporting other data engineers, fostering a culture of collaboration, and ensuring the teams overall growth and success.

Were seeking a highly motivated Director of Analytics with a strong business orientation and deep analytics expertise to elevate our data-driven culture. Youll lead a growing group of analysts, partner with cross-functional teams, and build innovative solutions that power product-led growth strategy and customer experience.
What will you be responsible for?
Lead, mentor, and develop a group of talented analystsensuring professional growth, quality deliverables, and a culture of curiosity.
Define and execute analytics strategies to support PLG motions, drive product adoption, customer retention, and overall business performance.
Champion the integration of AI-powered analytics tools, transforming how we generate insights and scale impact across teams.
Collaborate with Product, Growth, Marketing, and Customer Success to uncover data-driven opportunities and influence key decisions.
Partner with Data Engineering to ensure reliable, scalable infrastructure and tooling for advanced reporting and analytics.
Conduct deep product analyticsanalyzing user journeys, growth funnels, and cohort behavior to drive actionable insights.
Design, implement, and evaluate experiments (A/B tests) to optimize onboarding, activation, monetization, and retention.

We are looking for a Data Backend Engineer.
What will you be responsible for?
Design and build distributed data systems that are the backbone of our product innovation.
Architect and implement high-throughput data pipelines capable of handling billions of records with speed and reliability.
Develop custom algorithms for deduplication, data merging, and real-time data updates.
Optimize storage, indexing, and retrieval strategies to manage massive datasets efficiently.
Solve deep engineering challenges in distributed computing environments like Spark, EMR, and Databricks.
Build fault-tolerant, highly available data infrastructure with integrated monitoring and observability.
Partner closely with ML engineers, backend developers, and product managers to turn business needs into scalable, production-grade features.

Were looking for a Data Engineer to design and implement high-scale, data-intensive platforms, research and develop algorithmic solutions, and collaborate on key company initiatives. You will play a critical role within core data teams, which are responsible for managing and optimizing fundamental data assets.
What will you be responsible for?
Solve Complex Business Problems with Scalable Data Solutions
Develop and implement robust, high-scale data pipelines to power core assets.
Leverage cutting-edge technologies to tackle complex data challenges and enhance business operations.
Collaborate with Business Stakeholders to Drive Impact
Work closely with Product, Data Science, and Analytics teams to define priorities and develop solutions that directly enhance core products and user experience.
Build and Maintain a Scalable Data Infrastructure
Design and implement scalable, high-performance data infrastructure to support machine learning, analytics, and real-time data processing.
Continuously monitor and optimize data pipelines to ensure reliability, accuracy, and efficiency.