דרושים » תוכנה » Senior Data Analyst

We are in search of a detail-oriented and analytical Business Analyst to join our growth team.
The successful candidate will have a minimum of 5 years of dedicated experience in data analysis, a self-learner with a strong drive to excel, and a proven track record of turning data into actionable insights.
What Youll Do:
Data Analysis and Interpretation:
Conduct comprehensive data analysis using analytics tools (Amplitude, ThoughtSpot) to identify trends, patterns, and insights.
Translate complex data sets into actionable recommendations for product improvements and strategic initiatives.
Performance Metrics and Reporting:
Develop and maintain key performance indicators (KPIs) for product performance.
Create and present regular reports and dashboards to stakeholders, providing clear and concise summaries of findings.
Data-driven Decision Making:
Collaborate with cross-functional teams to integrate data-driven decision-making into product roadmap .
Support A/B testing and other data-driven experiments to improve marketing outcomes.
Collaboration and Communication:
Work closely with product managers and other team members to understand business goals and data needs.
Communicate complex data insights in a clear and understandable manner to non-technical stakeholders.
Data Integrity and Quality:
Ensure the accuracy and reliability of data by implementing best practices for data collection, processing, and storage.
Identify and resolve data quality issues.
Reporting and Infrastructure:
Build and maintain reports, ThoughtSpot dashboards, and KPIs to monitor performance.
Develop data processes and build data infrastructure for relevant stakeholders.
Build and enhance multiple fact, dim and marts in DBT environment to be used utilized by advanced analytics tools.

We're looking for a hands-on Senior BI Analyst to drive the full business intelligence stack- from data ingestion and modeling to dashboarding and stakeholder insights. If youve led BI projects end-to-end, enjoy building scalable systems, and want to have a strategic impact, this role is for you.

This is not your typical analyst role- were looking for someone who can independently set up and scale our BI foundations while partnering closely with business, product, and engineering teams.
Youll be a one-person BI powerhouse.
About the role:
Lead the design and execution of cross-company BI initiative from concept to implementation.
Partner with GTM, product, and operations teams to define KPIs, track performance, and uncover growth opportunities.
Implement and scale BI platforms (e.g., Power BI, Tableau) and define best practices for dashboards and reporting.
Own the full data flow: from source systems to dashboards - helping ensure data quality, consistency, and accessibility.
Write optimized SQL for complex analyses, recurring reports, and data validations.
Build and maintain clean, scalable data pipelines and models in collaboration with data engineering.

We are on the search for a Senior Marketing Data Analyst who will join our Data team in Tel Aviv. As a Senior 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 the user journey, be a partner to different teams within the marketing & Top of funnel landscape, and drive strategic business decisions that shape the direction of the company.
Here are a few of the things you will do:
Create and improve new and existing business processes, data pipelines, and workflows
Analyze, process and present different parts of the customer journey flows
Master of our data infrastructure, serving as the primary troubleshooter for data queries from critical business partners.
Perform ad hoc analysis with precision, delivering results that drive strategic decisions.
Brainstorm and execute AB testing ideas, furthering our understanding of user behaviors and market trends.
Utilize advanced statistical methodologies to conduct in-depth analyses and tests.
Play a pivotal role in the Data Guild, contributing your unique insights and expertise.
Engage with various stakeholders, fostering a productive environment of data-driven decisions.
Be a key collaborator with diverse marketing teams, including Paid Marketing, Social Media, Content, Lifecycle, Partnerships and more.
Transmute raw data into actionable insights that fuel decision-making processes.
Deliver persuasive presentations to stakeholders, translating data-driven suggestions into reality.
Act as the primary data authority for each initiative you engage in, ensuring data accuracy and relevancy.
Drive cross-functional initiatives, uniting data and business objectives to promote organizational success.

For many of us theres that one podcast we never miss, and video content is part of our daily routine, whether its professional or personal. But how many of us truly understand the effort that goes on behind the scenes? Here at our company, we know it well. Thats exactly why we built an AI-powered platform that helps content creators, podcasters, marketeers, and more at major brands like Netflix, Disney, Google, and Microsoft to create high-quality content with ease.
our companys technology streamlines the entire content creation process, turning ideas into professional-grade content with the highest production standards, without requiring expensive equipment or external services. The secret? AI-driven tools that replace traditional production roles like editing, directing, and design, automating the entire process at the click of a button.
About the Data Team
our companys Data & Analytics team believes theres a better way to make data useful than just creating endless dashboards. We focus on in-depth analysis and building scalable, trustworthy data solutions that help every team make faster, smarter decisions. From analytics and business intelligence to data pipelines and predictive models, we turn raw information into real impact. If youre passionate about finding radical new ways to leverage data, youll fit right in.
On your day to day
Were looking for a Data Analyst thats proactive, curious, entrepreneurial, and has a strong opinion. You will use your analytical skills and business understanding to shed light on undiscovered issues and opportunities that can literally change the trajectory of our company.
What you will be doing
You will have the chance to work with multiple teams (Marketing, Product, Sales, etc.) doing the following:
Analyze customer and user behavior and inform the teams in order to influence strategy and trajectory.
Collaborate with the team, define KPIs and measure the impact of their teams on our company performance.
Design, execute, and analyze A/B tests to measure the impact of changes and refine strategies.
Ensure data integrity and accuracy, consistently validating and updating datasets while contributing to the improvement of our data infrastructure.
Play a key role in understanding our users and their needs.
Lead the development of innovative data products.
Stay updated on industry trends and best practices in data analysis and user journey optimization.

We are seeking a Senior Data Analyst to join our team and take a leading role in shaping the future of our data science. We need your CTO-grade capabilities to incubate and launch the data product offering, creating value to our customers via reports and recommendations. This role is ideal for someone who thrives in a fast-paced, hands-on environment, enjoys working across disciplines, and wants to see their work go from concept to impact in the real world.

Today, this is a high-impact individual contributor role. However, it is intentionally structured to evolve into a leadership position. As our product, customer base, and data expand, youll be instrumental in building and leading a dedicated data science team, with full ownership of methodologies, tools, and people.

The Data Science Team Leader at Product will report to the VP Product.

Requirements:
Understand the physics underlying each product feature, devise the method by which the feature operates, and work with R&D to build, improve and deploy it.
Create our Data Product offering build a set of reports and recommendations to customers, exposing the value of the underlying technology.
Analyze customer data and field deployments to identify edge cases, improve models, and drive continuous product improvement. Bridge the gaps ad-hoc to bring immediate customer value, using AI and data analytics skills, as well as collaborating with R&D, Product, and AI teams.
Implement algorithmic solutions to solve urgent issues, with a clear path toward production deployment.
Once the business need arises and team expansion begins, take an active role in hiring, mentoring, and leading a team of data scientists and analysts.

We are looking for a highly motivated and talented Senior Business Analyst to join our Revenue Analytics team and contribute to our Go-To-Market organization's strategic decision-making process.
As a Senior Business Analyst, you will work closely with members of the Go-To-Market organization to drive impact, value, and insights using data and play a key role in our growth.
What does a Senior Business Analyst mean?
Collaborate closely with members of the Go-To-Market organization to leverage data for strategic decision-making.
Design and build dashboards to monitor business KPIs, ensuring data hygiene and integrity.
Develop models, targets, and tracking reports to measure the effectiveness of our Go-To-Market efforts.
Identify new growth opportunities and foster a data-driven culture within the Go-To-Market organization.
Communicate your findings and recommendations to stakeholders in a clear and compelling manner.
Collaborate with data engineers to integrate new data sources, enhancing our systems.

We are looking for an experienced Senior Data Analyst to join the Financial Planning & Analysis department as a foundational member of our in-house Data Analytics team. This critical role will specifically partner with our Revenue team, working with them to track and analyze the drivers of our variable profitability, ranging across: customer behavior trends, pricing strategy, product profitability, and more. To succeed in this role, you should be very comfortable coding in Big Query, visualizing with PowerBI, and most unique to this data analyst position enjoy applying these skills to finance-specific analyses.

What youll do: 
Lead end-to-end development of new BI solutions to enhance the Revenue teams reporting and analytical capabilities (e.g., writing complex, efficient Big Query SQL queries that feed Power BI dashboards).
Partner with business stakeholders to understand and address their reporting and analytical needs.
Help define and design new key metrics and segmentations to improve how we track the business.
Work closely with the Data department to identify and support implementation of data-related improvements across the organization.

Location: Tel Aviv, Israel
Hybrid
Full-time

At our company, fraud isnt just a problemits a puzzle. Were looking for a sharp, curious, and experienced Senior Fraud Data Analyst to take a leading role in uncovering abuse, analyzing behavioral anomalies, and developing data-driven strategies to stay one step ahead. If you love connecting the dots in messy data, challenging assumptions, and working with others to build smarter defensesthis role is for you.
What Youll Do:
Analyze & Interpret Data: Use SQL and Python to query large datasets, detect anomalies, conduct root cause analysis, and uncover fraud patterns while also providing prescriptive insights to optimize business performance.
Drive Business Insights: Identify trends in ad performance, diagnose inefficiencies, and provide data-driven recommendations that impact KPIs and company strategy.
Combat Fraud in Real Time: Identify fraudulent trends, investigate suspicious traffic patterns, and take action to mitigate risk.
Develop & Improve Detection Models: Work with data engineers and data scientists to refine fraud detection and optimize real-time prevention strategies.
Collaborate Across Teams: Partner with business stakeholders to strengthen fraud defenses across our platforms.
Stay Ahead of Fraudsters: Keep up with evolving fraud tactics and propose proactive solutions to prevent emerging threats.

We're looking for a Senior Product Analyst to join our growing team as a hands-on IC who drives high-impact insights across multiple domains . You'll independently tackle unique analytical challenges while collaborating across product, engineering, and business teams, building data infrastructure for both human and AI agent analyses. You'll be required to leverage AI tools to amplify your analytical impact and pioneer how our organization integrates data and AI for growth.

What you'll do

Cross-domain impact - Analyze product performance and user behavior across multiple teams to drive business growth and user experience improvements
Problem solving - Tackle unique analytical challenges that don't exist elsewhere in the industry
AI-enhanced infrastructure - Build analytical and semantic layers that support both human analysts and AI agents for scalable insights generation
Strategic storytelling - Create analyses & dashboards, present actionable recommendations to stakeholders through clear data narratives
Agile execution - Prioritize and manage multiple high-impact projects while collaborating with product managers and cross-functional teams
Proactive impact - Drive initiatives and identify opportunities within assigned domains

As a Data Analyst at our company you will be working with colleagues from various disciplines, such as - Product, Engineering, Marketing, Sales, Customer Success, Risk, Data Scientists within the team and other Data Analysts - on their KPIs, the way they observe information and the hardest questions each team is facing in order to drive insights and keep our company a data driven company. You will play a key role in the ability of each team at our company to keep scaling!
How your day is going to look, what you will be doing?
- Helping each team to take decisions based on data by:
Identify, analyze, and interpret trends or patterns in complex data sets to drive actionable insights
Define and implement KPIs across different teams
Accompany product features from tech design to feature performance
Translate product/business requirements to analytical logics, and create a very clear visualization which "tells the story" using a BI tool or other platform.