דרושים » פרסום שיווק ויחסי ציבור » Marketing Data Analyst

As a Business Analyst in our company Marketing, youll be a strategic partner, transforming data into impactful decisions that drive our North Star goal. In your day-to-day, you will:
Drive decision-making by defining initiatives, measuring impact, and providing proactive recommendations from deep-dive analyses
Research, define, and rigorously analyze key metrics, understanding root causes and ensuring valid, actionable measurement using statistical methods
Leverage Generative AI and Large Language Models to enhance data exploration, automate analysis, and accelerate insight generation
Lead the design, execution, and interpretation of A/B tests and experiments, guiding product and marketing strategy
Analyze complex user funnels and journeys to identify friction points and optimize paths for engagement and conversion
Pioneer automated tools and build advanced dashboards to empower stakeholders with actionable insights and foster a data-fluent culture
At our company, we believe our best work happens together. Our work model is fully in person, with 5 days a week from our office. Flexibility remains a core value at our company and special requests are handled thoughtfully at the team level.

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.

Our growing Data department is looking for a CRM and Retention Data Analyst.
We are looking for a highly motivated individual who is sharp, autodidactic, and collaborative.
You will deep dive into data, analyze patterns, identify trends, define, and develop KPIs and other measurement tools. Provide insights into the performance of our retention team.
Responsibilities:
Support of ongoing analytical needs of the CRM and Retention team
Analyze effectiveness and performance across multiple channels (Emails, SMS, Push, etc), providing actionable insight for data-led optimization
Translate business questions into data analyses and clear insights
Identify trends, opportunities, and areas for improvement, and provide data-driven recommendations
Design, analyze, and evaluate tests and experiments
Work with large and complex datasets to support strategic and operational decisions
Combine data from multiple sources to create a complete view of user behavior
Build and maintain reporting and dashboards using SQL and BI tools
Partner with cross-functional teams to ensure data is used effectively in decision-making
The position is in Ramat HaHayal, Tel Aviv.

we are looking for an experienced Data Analyst to work with us to drive insights and create stronger visibility in the organization. You will join an innovative, high-performance team and work with cutting-edge technologies in a dynamic environment.
Key Responsibilities:
The role is focused on the marketing domain, working closely with growth, performance marketing, and user acquisition teams.
You will analyze marketing funnels, campaign performance, and attribution models to optimize ROI and drive scalable growth.
This position requires a strong understanding of marketing metrics (CAC, LTV, conversion rates) and the ability to translate data into actionable marketing insights.
Build Specialization-specific operational dashboards.
Develop an analytics framework in collaboration with business process improvement and operations management.
Quarterly planning and roadmapping in collaboration with operations management and product team.
Write monthly Specialization-specific performance reports; written reports should show methodology with detailed statistical analysis, a summary of key findings, and recommendations.
Incubate, operationalize, and streamline Product launches; including Friction Optimization to improve user experience.

We are looking for a sharp Marketing Analyst to join our Marketing Analytics team and help drive data-driven growth. In this role, you will combine marketing and business expertise with scalable analytical solutions and innovative measurement methodologies. You will collaborate with internal teams and external partners to enhance measurement capabilities, uncover growth opportunities, and support optimized investment decisions. This role is essential to scaling our marketing efforts through deep insights and strategic analysis. If you have previous experience in Paid Search and Affiliate marketing and are passionate about data-driven growth, this might be a good fit for you.

Roles and Responsibilities:
Analyze and measure marketing performance across Paid Search, Affiliate, and additional marketing channels.
Evaluate marketing investment efficiency and identify new optimization opportunities.
Build analytical frameworks and scalable data solutions for the Growth team.
Collaborate with affiliate partners and third-party vendors to evaluate performance, attribution, and partnership effectiveness.
Develop AI-driven analytical solutions and measurement capabilities.

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.

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.

The Strategy & Business Analytics team is seeking a highly analytical, business-driven Business Analyst to play a key role in driving the companys growth and profitability. This role is central to analyzing, owning, and optimizing end-to-end business processes that directly impact the companys economic performance and P&L.
The Business Analyst will lead strategic and tactical initiatives across the organization, translating complex data into actionable insights and measurable business outcomes. This role requires strong ownership, independent execution, and close collaboration with cross-functional stakeholders.
Key Responsibilities:
Own and lead end-to-end analytical projects tied to core business processes, with direct impact on revenue growth, cost efficiency, and profitability.
Analyze business performance across products, channels, and customer segments, and translate insights into clear recommendations for strategic and tactical decision-making.
Build, maintain, and continuously improve reports, dashboards, and KPIs to support business monitoring and executive decision-making.
Partner with stakeholders across Strategy, Marketing, Product, Operations, and Finance to drive execution and ensure alignment with business objectives.
Conduct deep customer analysis, including segmentation, lifetime value, profitability, behavioral trends, and cohort analysis.
Work with large, complex datasets and develop scalable analytical tools to streamline processes and improve operational efficiency.
Deliver ad-hoc analyses under tight timelines to support fast-paced business decisions.
Ideal Candidate Profile:
A proactive, hands-on business analyst who takes full ownership of initiatives from problem definition through execution and measurable impact.
Strong commercial mindset with the ability to connect data insights to P&L drivers, growth levers, and profitability optimization.
Comfortable operating independently in a fast-growing, dynamic environment, while influencing stakeholders without formal authority.
Highly analytical, detail-oriented, and driven by turning data into clear actions and results.

You will be part of a research team, creating and improving our core-data algorithms. This Data Analyst role balances strategic, end-to-end data research with high-velocity, ad-hoc analysis to support crucial engineering and product decisions. You will immerse yourself in the fascinating world of maritime data, using Python, SQL, LLM frameworks, and occasionally Java to conduct analysis and ensure your insights drive strategic product development.



What will you do?

Conduct end-to-end analysis & research to create and improve our core-data algorithms.
Turn signals into actionable insights by analyzing GEOINT, SIGINT, and ADINT, and fusing them with maritime data.
Write Python code to extract and analyze data from various sources (including Postgres, MongoDB, SingleStore, and S3).
Leverage Generative AI tools for deep research, data analysis, and coding to accelerate insights.
Analyze large datasets to uncover trends, patterns, and anomalies, applying domain knowledge to interpret data and provide valuable insights for the maritime industry.
Maintain and ensure data quality and integrity, conducting thorough checks to monitor, identify, and resolve inconsistencies, and taking accountability for critical data and infrastructure.
Visualize findings, use data storytelling, and document research in technical papers and logs to understand and communicate actionable insights effectively to stakeholders.
Collaborate effectively with cross-functional teams (including domain and technical experts) to address research challenges and optimize data processes.
Join the Data Analysts technical guild to help grow data analysts professional community.