דרושים » תוכנה » Senior Business Data Analyst

Fiverr is 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. We’re 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

Equal opportunities:
At Fiverr, 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.

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.

We are looking for an experienced Senior Data Analyst to help us shape strategy and processes by bringing data-driven recommendations.

In this role, you will collaborate cross-functionally with product, engineering, and growth teams to identify key metrics that impact our strategy and performance.
We reward talent. Our employees support each other in advancing individually and as a team. Most of all, we exceed our clients expectations while still having fun.

Responsibilities:

Strategic Thinking: Identify and tackle complex challenges, and develop strategic solutions contributing to our long-term goals.
End-to-End Project Management: Independently manage projects from concept to completion. Ensure timely delivery of high-quality results, taking full ownership of challenging efforts.
Track and Report Product KPIs: Collaborate with product teams to define, monitor, and report on KPIs for roadmap features, ensuring alignment with business goals like user engagement, retention, and revenue growth.
Data-Driven Product Insights: Analyze product performance and provide actionable insights to guide feature iterations and prioritize future roadmap decisions based on metrics such as LTV, ROAS, and customer satisfaction.
Advanced Analytics: Lead the development and application of advanced analytical techniques to validate hypotheses and optimize business performance
Leadership & Collaboration: Guide, and mentor analysts in advanced methodologies, best practices, and data storytelling, collaborating cross-functionally with management, product, engineering, and marketing to drive data-informed decisions.
Continuous Improvement: Stay current with industry trends, tools, and best practices. Proactively suggest improvements to our data processes and systems.

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 our 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 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.

we are looking for a Product Data Analyst.
As a Product Data Analyst, you will play a pivotal role in driving data-based decision-making and shaping product direction across the organization. You will oversee complex analytical initiatives, guide the development of KPIs and performance frameworks, and partner with product, engineering, and business leaders to influence strategic priorities.
Responsibilities:
You will lead and conduct end-to-end analytical workflows, from requirement definition, data collection, and preprocessing to insights generation and executive-level presentations. You will also spearhead the development of scalable tools, processes, and methodologies that enhance model performance and data accuracy across the company. By uncovering actionable insights and identifying opportunities for optimization, you will directly influence business growth and help scale the organizations most impactful initiatives.
This role is ideal for someone who thrives in a fast-paced environment, enjoys taking ownership of high-impact initiatives, and is ready to manage projects independently while effectively collaborating with internal stakeholders to ensure delivery of the intended outcomes.

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.

Required Data/Product Analyst
Were looking for driven and talented people like you to join our team and our mission to change the future of cloud security. Ready to dive in and swim with our pod?
Highlights
High-growth: Over the past six years, weve consistently achieved milestones that take other companies a decade or more. During this time, weve significantly grown our employee base, expanded our customer reach, and rapidly advanced our product capabilities.
Disruptive innovation: Our founders saw that traditional security didnt work for the cloud, so they set out to carve a new path. Were relentless pioneers who invented agentless technology and continue to be the most comprehensive and innovative cloud security company.
Well-capitalized: With a valuation of $1.8 billion, we are a cybersecurity unicorn dominating the cloud security space. Were backed by an impressive team of investors such as Capital G, ICONIQ, GGV, and SVCI, a syndicate of CISOs who invest their own money after conducting their due diligence.
Respectful and transparent culture: Our executives pride themselves on being accessible to everyone and believe in sharing knowledge with the employees. Each employee has a place in shaping the future of our industry.
About the role
As a Product & Data Analyst, you will take ownership of product analytics, along with responsibility over our BI infrastructure. You will help product teams make smarter decisions by uncovering customer insights, while also ensuring the data pipelines and models that power those insights are robust and scalable.
In this role, you will work directly with Product Managers to analyze customer behavior, evaluate new features, and measure product impact. Youll also take responsibility for the underlying data stack-writing SQL, modeling in DBT, and maintaining clean, efficient ETLs. Beyond supporting day-to-day product questions, you will build dashboards and reporting tools that give teams across the company access to reliable, self-serve insights.
Collaboration will be key: youll partner with Data Engineering and BI teams to improve data quality and modeling, while also helping Product and Engineering teams run experiments, validate hypotheses, and measure outcomes. Success in this role means product decisions are guided by clear, accurate insights and that the data foundations behind them are built to last.

we are looking for a Data Analyst to join our team.
The Data Analyst must have the ability to strategize, analyze and interpret business data to identify key insights and provide recommendations.
The successful candidate should have a proven track record of success in the field of business analytics
Responsibilities:
You will work with various internal & external datasets to extract insights and deliver actionable recommendations.
You will use your set of analytical skills, data mining techniques and statistical tools to identify trends, opportunities and threats that will support our growth.
You will communicate your findings to management and work closely with business leaders.
You will Design, execute and monitor ETL flows via SQL (dbt is our data tool).
You will Visualize data with dashboards to address key questions for the companys in-house teams like Sales, Marketing, CSM, Growth, and more.

We are seeking a highly skilled and detail-oriented Data Analyst/BI Developer to join our Trading BI Analyst team.

In this role, you will play a key part in shaping the analytical foundation that supports our trading operations.

What will you be doing?

Collaborate closely with trading stakeholders, data engineers, and fellow analysts to build, enhance, and maintain business-critical dashboards and reporting pipelines.
Maintain and troubleshoot existing reports and dashboards (e.g., Tableau, Power BI, Looker, or internal tools)
Optimize SQL queries, backend data transformations, and overall system performance to ensure scalability and efficiency.
Collaborate with trading and product teams to gather evolving business needs and translate them into accurate and actionable reporting logic.
Identify and proactively resolve data anomalies and quality issues
Transform complex data into meaningful insights that drive strategic decisions across the organization