לוח משרות דרושים אנליסט שיווקי - Marketing Analyst

We are looking for a Market Researcher (Maternity Leave Replacement) to join our Data Department.
In this role, you will be responsible for leading and delivering a wide range of consumer and business research initiatives, including quantitative surveys and qualitative in-depth interviews. You will work closely with stakeholders across the organization to uncover actionable insights that support data-driven decision-making.
We are looking for someone with a strong mixed-methods background and the ability to integrate diverse sources of insights into clear business recommendations. You are passionate about understanding customer behavior and connecting research findings with data to generate meaningful business impact.
You are results-oriented, able to ask - and answer - meaningful and impactful business questions, a self-starter, and have demonstrated success in leveraging analytics to drive high-quality research outcomes.
This role requires the ability to work both independently and collaboratively within the broader Data Department.
Prior experience with Qualtrics is considered a strong advantage
This is a temporary maternity leave cover position. Future opportunities may be considered, depending on business needs.
What am I going to do?
Leading end-to-end research projects, including building a research plan, designing research tools, data collection and analysis.
Designing and executing quantitative surveys using a range of social sciences methods.
Conducting statistical analysis of surveys through the lens of business impact and growth.
Designing and executing qualitative research - customer in-depth interviews.
Communicating results to key stakeholders and distilling actionable recommendations to support decision making.
Collaborate closely with team members from the market research and data teams.
Working with internal partners (including product, marketing, business and data teams) to identify and prioritize knowledge gaps in our understanding, and act as an internal consultant on research results implementation.

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).

Were looking for a data-driven SEM specialist with strong analytical skills and hands-on experience to lead and optimize our activities across multiple channels and markets.
The role includes managing Search campaigns, analyzing performance data, and handling large-scale budgets in competitive environments. We're seeking a strategic thinker and proactive leader, someone who drives innovation, takes ownership of high-impact projects, and constantly looks for smarter, more effective ways to grow performance.
Responsibilities:
Plan, manage, and scale global PPC campaigns on Google Ads and Bing Ads, overseeing large budgets in competitive markets.
Monitor performance against business goals, report results, and continuously test new strategies, creatives, and growth solutions.
Track and analyze KPIs to generate actionable insights and optimize campaigns to improve performance and ROI.
Use strong analytical and business judgment to identify gaps, opportunities, and solve business problems.
Leverage BI tools to analyze business flows and collaborate closely with cross-functional teams.
Drive innovation through new ideas, opportunity discovery, and auditing business practices.

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 Senior GTM Business Analyst to join our fast-growing Business Analytics team, partnering closely with GTM leadership, RevOps, Customer Success, Channel, Marketing (ToFu), Finance, and Data/BI teams to scale and elevate our go-to-market analytics capabilities.
This role requires deep analytical expertise, strong business acumen, and the ability to influence senior stakeholders. You will take ownership of strategic GTM analytics initiatives, define measurement frameworks, and drive data-informed decision-making across multiple revenue-generating functions.
You will serve as a key thought partner to GTM leadership, shaping how performance is measured, interpreted, and optimized.
Responsibilities:
GTM Analytics & Performance Insights
Own and evolve performance measurement frameworks across Customer Success, Channel Sales, Solutions Engineering, and Top-of-Funnel Marketing.
Track and interpret key SaaS KPIs, including ARR movements, churn, retention (GRR/NRR), expansion, pipeline creation, and funnel conversion metrics.
Design and maintain scalable reporting models that provide executive-level visibility into GTM performance.
Translate complex data into structured insights and strategic recommendations for senior leadership.
Proactively identify growth opportunities, operational inefficiencies, and risk areas across the GTM engine.
Data & Analytics Operations
Use SQL and Snowflake to efficiently extract, structure, and analyze GTM data.
Design high-impact, end-to-end Tableau dashboards (preferred), from data modeling to visualization and distribution.
Partner with Data Engineering and BI to shape data models, improve pipeline reliability, and elevate data governance standards.
Drive automation and AI-enabled analytical solutions to improve insight velocity and self-service capabilities.
Cross-Functional Collaboration
Act as a senior analytics partner to GTM executives and department heads.
Mentor and collaborate with other analysts to ensure consistent definitions, reporting standards, and analytical rigor.
Lead executive presentations and deliver insights in high-visibility forums.
Continuously improve GTM measurement methodologies and analytical maturity across the organization.

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

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 looking for a highly motivated and experienced Marketing Analyst Position to join our company for the next phase of our fast-moving story.

Responsibilities:

Design and monitor ongoing marketing data to drive key business decisions.

Analyze large and complex data sets to discover product insights and help translate them into actionable recommendations.

Translate business questions and requirements to structured analysis.

See beyond numbers and help influence and support our business decisions.

Locate gaps and opportunities in campaigns performance and budget management.

This role requires an exceptional communicator with strong business acumen, deep analytical capabilities, and proven experience leading high-performing analytics teams in a complex data environment.
Responsibilities:
Lead analytics-driven growth initiatives focused on customer acquisition, expansion, and monetization.
Partner closely with the CRO, Sales leadership, and Customer Success Managers to identify growth levers, support customers analytics requests, and optimize revenue and Conversion rates performance.
Manage and develop a high-performing analytics team, setting clear expectations for analytical rigor, problem definition, and insight storytelling
Coach and mentor analysts with a strong focus on business impact and customer-facing insight delivery
Act as a customer-facing analytics leader, participating in QBRs, executive reviews, and strategic customer conversations
Own the customer and sales data domain, including metric definitions, data consistency, and integrity
Proactively identify, troubleshoot, and resolve data quality and data reliability issues in partnership with BI, R&D, and Product
Work closely with Product and R&D teams to influence roadmap decisions through data and customer insights
Define KPIs, dashboards, and measurement frameworks that align analytics output with business outcomes
Independently initiate and lead cross-functional analytics projects from concept through delivery and impact measurement
Support pre-sales processes with analytics, including customer insights, benchmarking, ROI and value modeling, and data-backed sales narratives.
Support post-sales processes with analytics, including customer monitoring, proposition suggestion and optimization analysis.

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.

Were looking for a Revenue Data Analyst who combines strong business skills with a strategic mindset and curiosity for how data drives revenue and growth in social mobile apps. Youll partner closely with sales, marketing, and operations teams to turn data into clear sales and marketing insights and measurable business impact.
If youre passionate about uncovering insights, leveraging data and AI for smarter, faster results, and driving decisions at scale; wed love to hear from you!
Responsiilities:
Identify opportunities for improvement through data analysis aligned with company strategy and revenue KPIs.
Partner cross-functionally to translate data findings into actionable business and marketing decisions.
Design, run, and analyse A/B tests to evaluate sales strategies and revenue monetization.
Build, automate, and maintain dashboards and reports to track sales insights, business behaviour, and key trends.
Communicate findings clearly to stakeholders, influencing both tactical and strategic decisions.
Leverage AI and automation tools to accelerate analytical workflows and uncover deeper insights.
Support client QBR, Businesss events, sales speeches with actionable data, insights learnings, answering business challenges, supporting our storytelling or selling speech.