דרושים » פרסום שיווק ויחסי ציבור » Senior GTM Business Analyst

This role owns the analytics backbone of Marketing and enables SDRs with accurate routing, attribution, dashboards, performance analysis, and automation - turning data into predictable pipeline impact.
Responsibilities:
Own the end-to-end marketing analytics stack, with Snowflake as the source of truth, including multi-touch attribution, funnel and cohort analysis across the full lifecycle (Lead → Revenue).
Ensure data consistency across Snowflake, Salesforce, Marketo, and BI tools in partnership with RevOps, IS, and Finance.
Design and maintain executive dashboards (Tableau / PowerBI) covering pipeline health, velocity, campaign ROI, CAC, SDR performance, and response SLAs.
Own and optimize the lead lifecycle in Salesforce and Marketo, including scoring models, routing logic, territory rules, lifecycle stages, automation, and speed-to-lead improvements.
Partner with SDR leadership to identify bottlenecks, improve conversion rates, and drive productivity through data-driven insights.
Serve as the Marketo system owner, ensuring campaign execution, QA, data hygiene, governance, and seamless integrations across the GTM tech stack.
Act as a cross-functional bridge between Marketing, Sales, RevOps, BI, and IS, translating business needs into.

were looking for a Marketing & Growth Data Analyst to help shape how we grow . In this role, youll work closely with Marketing leaders and senior management to measure performance, run meaningful analyses, and influence decisions that drive efficient customer acquisition and revenue growth. The role focuses on performance measurement, advanced analytics, and statistical modeling to inform strategy, budget allocation, and optimization decisions. This is a hands-on role in a fast-moving startup environment, with real ownership, high impact, and strong exposure to leadership.
Responsibilities:
Partner closely with Marketing leadership and top management on high-impact growth decisions.
Define, track, and evolve core Marketing & Growth metrics (CAC, LTV, ROAS, payback, etc.).
Build dashboards and recurring insights using Tableau, backed by Snowflake and dbt.
Analyze performance across multi-channel marketing efforts (paid, organic, lifecycle, partnerships).
Design, run, and analyze A/B tests and experiments, from metric definition to insights.
Own and improve tracking and attribution frameworks to ensure reliable measurement.
Build and apply statistical and econometric models (e.g., MMM, regression, incrementality) using Python or R.
Support forecasting, planning, and budget allocation with data-driven insights.
Communicate findings clearly and confidently to non-technical stakeholders.

We are on the search for a Marketing Data Analyst who will join our Data team in Tel Aviv. As a Marketing Data Analyst in a Data-Driven company, you will have a significant opportunity for impact and drive the company to new heights. You will influence decision-making processes throughout marketing budget decisions, new user journeys, be a partner to cross-functional teams within data, marketing & Top of Funnel, and drive strategic business decisions that shape the direction of the company.
Here are a few of the things you will do:
Own end-to-end analytics for marketing and product growth initiatives, directly supporting business strategy and growth, including and not limited to acquisition, lifecycle, and user onboarding.
Act as the primary data owner for the planning, monitoring, and measuring a variety of marketing initiatives, ensuring accuracy, consistency, and trust in decision-making across stakeholders, enabling your stakeholders to learn from data and iterate with confidence.
Translate complex datasets from multiple sources into clear, actionable insights with measurable business impact.
Proactively initiate and perform ad hoc research and deep-dive analyses to surface unknown business opportunities to inform strategic and operational decisions.
Partner with marketing, product, finance and company leadership to drive cross-functional, data-driven outcomes.
Design, improve, and scale analytics infrastructure, data pipelines, and workflows to suit your analytics needs; work hands-on using tools such as SQL, DBT, Looker, and partner closely with Data Engineering and Data Science teams.
Design, execute, and evaluate A/B tests using rigorous statistical methods and well-defined KPIs, including ownership of appropriate KPI selection.
Present insights and recommendations to senior stakeholders with clarity and influence, through written communication, presentations, and via dashboards.
Contribute expertise to shared analytics standards, best practices, and knowledge forums (e.g., Data Guild).

we are looking for a brilliant Marketing Data Analyst to join our Data department. As part of this position, you will be working alongside various marketing teams that are responsible for acquisition of new users.
You'll use your analytical, technical and business expertise to track and measure marketing efforts, uncover trends, spot opportunities, and support key decision-making processes. You will be required to answer complex questions defined by executive management and various business units, develop insightful recommendations and initiate deep-dive analyses.
Were looking for someone with a passion for numbers and marketing domain, a proactive mindset who brings creative ideas to solve tough challenges and spot new opportunities.You will leverage AI tools, automation, and advanced analytics to streamline workflows, uncover insights, and support data-driven marketing decisions.
What am I going to do?
Conduct deep-dive analysis to answer complex business questions and deliver comprehensive recommendations.
Build and maintain the teams reporting set and dashboards.
Develop marketing measurement methodologies and data science models.
Provide ROI-based recommendations to optimize marketing spend across channels.
Identify opportunities for automation and smarter ways of working through data and AI tools.
Manage multiple tasks in a fast-paced working environment.
Collaborate closely with stakeholders across the marketing department.

our company, the leading global financial news & data platform, is looking for a User Acquisition Analyst to drive measurement, insights, and optimization for our paid acquisition efforts across channels, with a clear focus on growing our subscription product.
What we are looking for: someone who understands paid marketing deeply (search, social, display, affiliates, etc.), can navigate the realities of attribution and tracking, and can translate multi-channel performance into decisions that improve CAC, ROAS, LTV, and payback. You should also be highly fluent with AI-driven analysis, confident inside each platforms native analytics, and able to use visualizations + AI to communicate insights and support data-driven decision making.
What youll be doing
Own analytics for paid user acquisition across channels (paid search, paid social, display/programmatic, affiliates, partnerships, etc.) and across platforms (web, iOS, Android)
Build and maintain end-to-end performance visibility: click -> landing -> activation -> paywall -> purchase -> renewal/retention
Develop and refine measurement approaches including:
attribution models (last-click, first-click, data-driven where available)
cross-channel cannibalization detection and analysis
incrementality and lift thinking (geo tests/holdouts/controlled experiments where possible)
Use AI tools to accelerate analysis, explore hypotheses, detect patterns/anomalies, and generate high-quality insights
Leverage each platforms native analytics tools (Google Ads, Meta, TikTok, DSPs, affiliate platforms, etc.) to understand what drives performance and to diagnose what is actually changing inside campaigns (creative, audiences, bidding, placements, pacing, attribution)
Monitor and optimize core performance KPIs tied to subscriptions: CAC, ROAS, CVR, LTV, payback period, churn/retention cohorts
Own ongoing monitoring to proactively detect drops, tracking glitches, attribution breaks, spend/performance anomalies, and funnel issues, and drive resolution with relevant stakeholders
Partner with UA managers and channel owners to identify opportunities, size impact, and prioritize actions (creative, targeting, bidding, landing pages, offers, paywall flows)
Deep dive into funnel drop-offs and cohort behavior by channel/campaign/audience/geo/device to explain whats driving performance
Design and analyze A/B tests (creative tests, landing tests, offer/trial mechanics), ensuring clean measurement and clear conclusions
Create recurring reporting and executive-ready narratives using strong visualizations: what changed, why it changed, and what we should do next
Improve data quality and tracking: event definitions, UTM governance, campaign naming, source-of-truth reconciliation across platforms.

Responsibilities:
Analyze and interpret marketing data, including customer behavior, campaign performance, and market trends, to identify insights and opportunities for business growth.
Leverage multiple complex big data sets to identify patterns, trends, opportunities, and threats to our marketing operations.
Monitor and report on key performance indicators (KPIs) to track the effectiveness of marketing campaigns and initiatives.
Develop and maintain dashboards and reports to communicate insights and recommendations to senior leadership.
Use advanced analytics, data mining, business intelligence, and statistical tools, combined with a strategic and industry point of view, to drive marketing growth.
Continuously identify and implement improvements to marketing processes and systems to increase efficiency and effectiveness.
Be a leader in the marketing analysis field in the company.

What we are looking for: someone who understands paid marketing deeply (search, social, display, affiliates, etc.), can navigate the realities of attribution and tracking, and can translate multi-channel performance into decisions that improve CAC, ROAS, LTV, and payback. You should also be highly fluent with AI-driven analysis, confident inside each platforms native analytics, and able to use visualizations + AI to communicate insights and support data-driven decision making.

What youll be doing

Own analytics for paid user acquisition across channels (paid search, paid social, display/programmatic, affiliates, partnerships, etc.) and across platforms (web, iOS, Android)
Build and maintain end-to-end performance visibility: click -> landing -> activation -> paywall -> purchase -> renewal/retention
Develop and refine measurement approaches including:
attribution models (last-click, first-click, data-driven where available)
cross-channel cannibalization detection and analysis
incrementality and lift thinking (geo tests/holdouts/controlled experiments where possible)
Use AI tools to accelerate analysis, explore hypotheses, detect patterns/anomalies, and generate high-quality insights
Leverage each platforms native analytics tools (Google Ads, Meta, TikTok, DSPs, affiliate platforms, etc.) to understand what drives performance and to diagnose what is actually changing inside campaigns (creative, audiences, bidding, placements, pacing, attribution)
Monitor and optimize core performance KPIs tied to subscriptions: CAC, ROAS, CVR, LTV, payback period, churn/retention cohorts
Own ongoing monitoring to proactively detect drops, tracking glitches, attribution breaks, spend/performance anomalies, and funnel issues, and drive resolution with relevant stakeholders
Partner with UA managers and channel owners to identify opportunities, size impact, and prioritize actions (creative, targeting, bidding, landing pages, offers, paywall flows)
Deep dive into funnel drop-offs and cohort behavior by channel/campaign/audience/geo/device to explain whats driving performance
Design and analyze A/B tests (creative tests, landing tests, offer/trial mechanics), ensuring clean measurement and clear conclusions
Create recurring reporting and executive-ready narratives using strong visualizations: what changed, why it changed, and what we should do next
Improve data quality and tracking: event definitions, UTM governance, campaign naming, source-of-truth reconciliation across platforms

MA?LYS is one of the fastest-growing global D2C startups with a self-built e-commerce platform that allows us to leverage data and optimize marketing funnels to bring clinically tested body care products to women worldwide. With years of rapid growth and millions of customers worldwide, MA?LYS is on track to become one of the biggest body care brands in the world. We are a team of people who want to make lasting, impactful changes, live (and love) to see results, innovate with passion, and love a good sense of humor. As our Senior Marketing Analyst , you will play a pivotal role in enhancing our digital marketing performance and overall business growth. You’ll work in a data-driven environment focusing on continuous improvement and optimization.
Your life at MA?LYS will look like...

* Monitor and analyze marketing data to identify trends and translate them into clear, actionable recommendations that drive performance optimization.
* Dive into data from multiple angles to uncover growth opportunities and understand how creatives impact overall activity and results.
* Build and maintain dashboards and visualizations that make performance insights accessible and intuitive for end users.
* Evaluate and compare different attribution methods to better understand channel impact and improve decision-making.
* Plan, execute, and analyze experiments (A/B tests, lift tests, etc.), assess their statistical significance, and extract meaningful action items to continuously improve performance.
You will thrive in this role if you have…

* 4-5 years of experience as a Data Analyst in a data-driven business.
* BSc/BA in Mathematics, Statistics, Computer Science, Economics, or a related field.
* High proficiency in SQL - a must.
* Experience with data visualization tools (e.g., Looker, Tableau, Power BI, etc.).
* Experience working with online marketing data and a solid understanding of key metrics (ROAS, CAC, CTR, etc.).
* Thorough understanding of attribution and marketing measurement.
* Hands-on experience with A/B tests and/or lift tests and their underlying statistical methodologies - an advantage.
* Familiarity with online marketing platforms (Facebook, Google, Snapchat, etc.) – an advantage.
* Experience with R and/or Python – an advantage.
* Experience in retail and e-commerce or adtech – an advantage.

The Salesforce Marketing Cloud / Marketing Services business analyst reviews and evaluates business systems, processes, and requirements to design, implement, and enhance marketing automation systems that meet overall client business objectives.
The business analyst is responsible for leading workshops, overseeing configuration of the system, and managing relationships with customers and internal stakeholders. He/she can lead a workstream for large projects and guide the work of the supporting team.
The BA should act as a strategic advisor to help clients get the most value out of their marketing automation system and their consulting engagement.
Responsibilities:
Engage with clients to assess their current sales and marketing landscape and processes and distill business requirements/user stories.
Lead onsite client workshops to share marketing automation framework, best practices, and case studies.
Work with clients to shape marketing automation strategy and define and scope projects to address specific needs.
Guide marketing automation administration, configuration, migration, campaign execution, and testing activities.
Manage agile business executives and work with them to successfully complete the program.
Mentors other consultants and business analysts throughout the project.
Supports the project manager in identifying and mitigating risk and resolving issues.
Keep up-to-date on latest industry trends and research to share with clients and to continually optimize their marketing automation strategy.

We are looking for a bright, resourceful, and enthusiastic Bachelors degree graduate to join our Customer Success team as a b Performance Analyst. This position is especially suitable for graduates in Communications, Business Management, Economics, Marketing, or similar fields. This is an amazing opportunity to dive deep into the world of AI, online marketing, PPC, creative analysis, and reporting. This position requires a creative and outside-of-the-box mindset, with the ability to watch creatives and understand the thought and strategy behind them, in order to translate them into value.

Key Responsibilities:
Ownership of all creative and analysis-related projects, including: Creative mapping, integration QA, reporting & analysis, and client presentations.
Existing client adjustments based on additional requests (internal and external) for more client value.
Feature standardization and taxonomy for all current and future clients.
Studying new clients and meeting them for introductory sessions to understand their needs.
Collect and analyze data from marketing campaigns to measure their effectiveness and provide actionable insights for future strategies.
Additional ad-hoc assignments related to features, client requests, additional CSM projects, and technical projects.