דרושים » תוכנה » Business Operations Manager

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 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.

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.

Were looking for an Operational Analyst to join our dynamic team and play a key role in supporting our product and services delivery.
In this role, you will collaborate closely with multiple stakeholders - including Product Managers, Customer Support, the Data Group, and more - to ensure smooth operations, data accuracy, and an exceptional experience for our customers.
Our mission is to empower security teams to safeguard their SaaS-Identity risk landscape. we discover and classifies risk across SaaS and web applications, uncovering risk-prone identities and accounts to close security gaps, prioritize access controls, and achieve continuous SaaS and identity compliance.
Key Responsibilities:
Leverage SQL and analytical tools to extract, analyze, and interpret data from live, complex databases to support customer success initiatives and resolve data-related issues.
Partner with the Annotator Team and Data Group to improve data collection and enrichment processes, including hands-on annotation and quality assurance for ongoing projects.
Serve as the technical point of contact between Field Engineers and the Delivery teams (Product and R&D), ensuring smooth and accurate communication of product functionality and data insights.
Conduct in-depth investigations to facilitate issue resolution, bridging gaps between field and development, and ensuring timely closure of open issues.
Define, optimize, and implement data processing and operational workflows.
Contribute to a culture of collaboration, learning, and continuous improvement across teams.

We are seeking a Lead Salesforce Engineer and Business Analyst to join our marketing team.
This is a high-impact role for a seasoned professional who can bridge the gap between complex business needs and advanced technical solutions, with a strong focus on designing, developing, and implementing Salesforce solutions.
What Youll Do:
Translate complex business requirements into technical specifications and scalable Salesforce solutions.
Design, code, test, and deploy custom Salesforce functionality, including Apex classes, triggers, flows, and formulas.
Customize Salesforce applications through custom objects, fields, workflows, validation rules, and automation.
Collaborate with cross-functional teams to implement and integrate Salesforce applications with other systems via APIs and integration tools.
Leverage AI agents and advanced automation to optimize business processes and enhance system capabilities.
Build and maintain data tables leveraging advanced SQL and integration tools to ensure data accuracy and operational efficiency.
Create and maintain detailed documentation for both business processes and technical solutions to support knowledge sharing and governance.

We are now seeking a Product Analytics Team Leader to manage and grow a team of four exceptional product analysts. In this role, you will be responsible for scaling analytics capabilities, driving high-impact insights that inform product strategy, and guiding experimentation efforts across the organization. Youll serve as a strategic thought partner to senior product and business leaders, ensuring the effective use of analytics tools and methodologies. This position requires a strong understanding of product development, a deep analytical mindset, and excellent leadership skills.



Responsibilities

We are looking for a hands-on, experienced analytics leader who will:

Lead, mentor, and develop a team of 4 product analysts, fostering a culture of curiosity, critical thinking, and continuous learning.
Define and evolve At-Bays product analytics strategy, including KPI frameworks, event tracking standards, and experimentation processes.
Partner closely with product managers, engineers, designers, and senior stakeholders to identify key business questions, translate them into analytical projects, and deliver insights that shape product roadmaps and strategic decisions.
Promote analytics excellence by driving best practices in data instrumentation, experimentation design, statistical analysis, and business storytelling.
Lead the development and maintenance of dashboards and A/B testing frameworks to evaluate user behavior, feature performance, and product-market fit.
Conduct and oversee in-depth analysis of product usage, customer journeys, and market trends to uncover opportunities and solve critical product challenges.
Translate complex data findings into clear, actionable recommendations, effectively communicating insights to technical and non-technical audiences.
Stay current with trends in product analytics, data tooling, and emerging technologies to continuously raise the bar for the team and the broader product organization.
Champion data-driven decision-making throughout the product lifecycle-from ideation and development to launch, iteration, and sunset.

Were looking for a Data Product Manager to lead key data products and help drive core infrastructure initiatives. This role blends product thinking, technical depth, and cross-team collaboration perfect for someone who enjoys solving complex problems and working closely with engineering, BI, and architecture teams. This is a new role, so youll have plenty of room to shape how it works and make it your own.

If you're passionate about solving real-world challenges at scale, enjoy building products in highly technical domains, and want to lead cross-functional teams in a fast-paced environment, this is your chance to make a real impact.

Responsibilities

Lead data-heavy products end-to-end from ideation and feasibility through execution, rollout, and ongoing support, individually or with other PMs.
Set the strategic direction for data as a product, defining how data is structured, governed, and delivered to maximize business impact. Ensure clarity, usability, and adoption through strong data quality practices and business-aligned standards.
Drive core data infrastructure initiatives by representing product and business needs, ensuring clear value, and partnering with architects and engineering leadership on key platform improvements.

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 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.

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.