לוח משרות דרושים Data Analyst, לחיפוש זה נמצאו 106 משרות

We are looking for a Salesforce Business Analyst to join our growing Information Systems team to help develop and maintain our Salesforce application.
The ideal candidate will be as passionate about business processes as they are about building them. As a Business Analyst, you will interface with businesses to ensure timely and effective delivery of Salesforce solutions for the business requirements.
This is a temporary role for at least 6 months (maternity leave replacement) and entails collaboration with executive leaders to identify, define, and implement changes and enhancements to meet business requirements in a dynamic, high-growth environment.
If you're keen on improving the lives of your co-workers, constantly learning new processes and building tools for them - this is the job for you!
What will you actually be doing?
Lead projects end-to-end: full definition and design, development, training & communicating to stakeholders.
Document, design and test system implementations and launch support of solutions using Salesforce best practices.
Provide tactical support for any issues and bugs that are reported on the Salesforce platform.
Build systems, integrate third-party tools, migrate data, train employees, and provide ongoing support to our internal Sales, Marketing and Services organization users.
Manage change communication and coordinate end-user training for system implementations.
Build and deliver solutions using point and click, code, 3rd party tools and APIs.
Create clear, concise and complete functional specifications & think through problems to make actionable recommendations.

We are looking for a Compliance Analyst to join the CISO team. Reporting to the GRC Team Leader, you will fulfill an essential role, joining the team in accomplishing important Compliance projects, ensuring that all our systems and products are safe and meet the required standard.
What will you actually be doing?
Track enterprise compliance across multiple security frameworks including security, privacy and AI frameworks (ISO, SOC, etc) and maintain up-to-date records of requirements and corresponding mitigating controls.
Continuous monitoring of internal security processes to ensure compliance, and liaise with IT and business stakeholders to confirm current security arrangements and maintain systems security process.
Assist with the education and awareness programs to promote security and privacy in the company.
Creatively overcome obstacles so that the Compliance Controls will continuously operate alongside the business activities.
Review proposed changes on an ongoing basis to determine the impact on security and privacy.

As our company continues to scale, were looking for a Product Data Analyst to join our Product team. In this role, youll blend strong analytical skills with operational execution to help our product and go-to-market teams make data-informed decisions. About 70% of your time will be spent analyzing product and customer data, building dashboards, and delivering insights that will shape the future of our product. The remaining 30% will focus on supporting our data operations - ensuring our data processes, tools, and reporting cadences run efficiently, implementing best practices.

Youll sit directly within the Product organization, collaborating closely with Product Managers, Designers, and Engineers to improve how we use data across a growing suite of B2B SaaS products and within our organization.

Responsibilities
Analytics
Analyze product usage and customer behavior across multiple SaaS products to uncover insights that guide roadmap priorities and growth opportunities.
Build and maintain dashboards and reports in Snowflake, Redash, Metabase, and Mixpanel using SQL to support Product, GTM, and leadership teams.
Define and track key metrics such as activation, retention, adoption, ARR growth, and engagement.
Run ad-hoc analyses to answer business questions and support experiments or feature evaluations.

Data Operations
Collaborate with Engineering and Data teams to enhance analytics setup and data workflows.
Partner with Engineering teams to ensure clean data instrumentation, event tracking, best practices for data, and measurement implementation across product features.
Maintain and improve data quality processes, pipeline documentation, and operational standards to support reliable decision-making.

Required Cyber Data Analyst
Description
We are redefining trust in blockchain through advanced, integrated security. Our on-chain security platform is trusted by leading Web3 companies-including Coinbase, MetaMask, Uniswap, Backpack, Stellar, and others-to detect, understand, and automatically prevent or minimize the impact of fraud, scams, hacks, and financial threats.
We are backed by top-tier global investors including Sequoia Capital, Ribbit Capital, and Cyberstarts-firms known for supporting the most innovative and influential companies in technology and cybersecurity.
As a Senior Data Analyst within our R&D team, you will shape how we understand data, uncover trends, and drive strategic decisions across. Working closely with cross-functional teams, you will turn complex datasets into actionable insights that directly influence our business growth and product direction.
Your Chain of Impact:
Identify, analyze, and interpret trends or patterns in complex datasets to uncover actionable insights.
Analyze large datasets to provide clear, impactful recommendations that support operational and strategic goals.
Develop scalable data processes and infrastructure to support internal stakeholders.
Build and maintain dashboards, reports, and KPIs to monitor and improve company performance.
Translate business questions into analytical models and craft compelling data visualizations that tell the story.
Partner with cross-functional teams to understand business needs and design data-driven solutions.

We are looking for a Data analyst with a background in finance, for a temporary role in dynamic organization.
The Data analyst will be responsible for aggregating data into meaningful management reporting and analyses to support decision-making and drive performance improvement. This analyst will be also responsible for oversight and governance of databases and reporting environments associated with BI environment.
6 month temp replacment
Essential Duties and Responsibilities include the following:
Responsible for working with key business leaders and other stakeholders to understand their data analytics needs and translating them into the Business Intelligence solutions
Define new business KPIs, units objectives and create supportive infrastructure for measuring them
Gain knowledge and understanding of the business to track wisely business performance and provide better analytics solutions.
Provide actionable recommendations and conclusion out from in-depth analysis
Explores the data and identify uncovered patterns, meaningful relationships, anomalies, and trends
Oversight and governance of databases and reporting environments associated with BI environment
Build and maintain reporting dashboards
Improve efficiency of existing work processes and deliverables within the Finance organization
Position assumes attention to the details and responsibility for data quality.

Required AI Business Analyst, GTM
Description
Welcome to where innovation meets expertise. We're not just another startup; we're a dynamic and rapidly expanding company driven by seasoned leaders in the world of fintech and eCommerce. Our passionate team is on a mission to tackle one of the most pressing issues plaguing online businesses today: chargeback fraud. This insidious menace all too often results in substantial losses, both in revenue and profits. Join us on our journey as we revolutionize the fight against chargeback fraud.
Weʼre building the worldʼs most advanced solution for First-Party Fraud. Weʼre a fast-growing startup tackling complex problems in the payments and fraud prevention space. We serve tens of thousands of businesses, and supporting them while staying lean means AI isn't optional; Here, itʼs foundational.
Who We're Looking For - The Dream Maker:
This Israel-based analyst position will primarily provide insights to our Go-To-Market GTM) teams, contributing to our growth and churn reduction. You'll be one of two analysts building an AI-scale analytical engine that turns data into insights & actionable decisions - using AI not as a shortcut, but as a force multiplier.
Your Arena - Know your impact
GTM Intelligence: Design, build, and maintain the analytical layer that powers our GTM teams - through ad hoc & recurring analyses as well as dashboards. You'll automate what's automatable, using code and AI to turn recurring work into self-running workflows. For example, helping Customer Experience understand and battle churn drivers, expansion signals, and revenue performance- acting on them before and after problems surface. Similarly, help Sales close deals by turning data into a narrative, into ammunition they can walk into a meeting with.
Master the payments domain: Learn card scheme (e.g. Visa) rules & PSP (e.g. PayPal) workflows. Then apply this understanding and knowledge into your analyses as well as AI context & instructions.

our company helps game developers monetize their titles with ad placements that complement the gameplay. By monetizing the entire game session, developers benefit from consistent and reliable revenue streams. Supporting all major and custom-built game engines and a full-stack ad monetization solution that provides complete control over ad placements makes the preferred in-game ad monetization partner for developers worldwide.

Backed by Sony Innovation Fund, NBCUniversal, Samsung Next, Bandai Namco Entertainment 021 Fund, WPP, PayPal Ventures, and many other prominent investors, our company is on a mission to make advertising in games better. Better for brands, better for game developers, and better for gamers. Learn more.

WHAT WILL YOU DO?
Manage and monitor programmatic performance regularly, striving to consistently refine tactics and produce exceptional results for our customers
Provide regular reports (weekly, monthly, and quarterly) for the internal and external teams with goals, performance, and insights
Conduct weekly calls and QBRs while maintaining close relationships with our partners
Work closely and collaborate with the product, data, and finance teams on feature requests, product enhancements, and data analytics reports
Onboard new supply partners utilizing Prebid and oRTB protocols

We are looking for an experienced data Engineering team leader In this role, you will lead and strengthen our data Team, drive innovation, and ensure the robustness of our data and analytics platforms.
A day in the life and how youll make an impact:
* Drive the technical strategy and roadmap for the data engineering function, ensuring alignment with overall business objectives.
* Own the design, development, and evolution of scalable, high-performance data pipelines to enable diverse and growing business needs.
* Establish and enforce a strong data governance framework, including comprehensive data quality standards, monitoring, and security protocols, taking full accountability for data integrity and reliability.
* Lead the continuous enhancement and optimization of the data analytics platform and infrastructure, focusing on performance, scalability, and cost efficiency.
* Champion the complete data lifecycle, from robust infrastructure and data ingestion to detailed analysis and automated reporting, to maximize the strategic value of data and drive business growth.

we are looking for a Analytics Engineer.
This role combines hands-on ownership of data pipelines and data transformations with the ability to effectively interface with customer-facing teams (Customer Success, and Delivery) when needed-helping ensure that data outputs are accurate, clear, and aligned with real-world use cases.
Responsibilities:
Build and maintain data models, pipelines, and ETL processes to support analytics, reporting, and machine learning.
Own data quality and validation, including monitoring, auditing datasets, and identifying anomalies.
Support customer-facing teams by providing reliable data, clarifying definitions, and investigating data issues.
Collaborate cross-functionally and work with existing codebases to debug, improve, and maintain data workflows.
Ensure high-quality data across the lifecycle to support reliable ML pipelines.