דרושים » תוכנה » Data Analyst

We are looking for a Data Analyst who will be part of our Growth team and have a significant ability to impact our business.
Whats the job?
Develop predictive models and perform advanced data analysis to generate key insights and actionable recommendations for high-level management.
Conduct deep analytical investigations, including hypothesis-driven analysis, data exploration, and anomaly detection, to uncover trends, root causes, and business opportunities.
Work closely with Customer Success, Product, and Business teams to analyze partner performance, identify optimization opportunities, and translate data insights into scalable operational improvements.
Build and maintain machine learning pipelines, data analytics automation tools, and scalable processes to improve company revenue, partner performance, and Customer Success operations.
Collaborate with the team to design experiments (A/B testing) and continuously improve the analytical and reporting processes through streamlined and scalable approaches.
Contribute to the development and maintenance of advanced data dashboards, reports, and visualizations that track business performance, model performance, and overall data health, and ensure robust data quality and tracking mechanisms.

Were looking for a Data Analyst to join the Data for AI team. This is a hands-on, customer-facing role focused on working with leading AI companies to turn real-world data into inputs that support model development and evaluation.
Youll collaborate closely with external AI teams and internal engineering and product partners to deliver data-driven solutions for specific AI use cases. The work is fast-paced, technical, and often open-ended, requiring comfort with large datasets, ambiguous requirements, and end-to-end ownership.
What does the day-to-day looks like:
Own end-to-end delivery of data solutions for AI use cases, from understanding model and product requirements to analysis, implementation, quality, and automation
Work hands-on with large, raw datasets to create high-quality data inputs that support model training, evaluation, and iteration
Apply strong quantitative analysis and data exploration skills to assess coverage, quality, and behavior of data used in AI systems
Build scripts, analyses, and reusable components in Python and SQL to support scalable and repeatable workflows
Collaborate closely with Engineering to ensure solutions are reliable, scalable, and production-ready
Partner directly with external AI teams and internal stakeholders to translate open-ended questions into concrete data outputs

Were looking for a Data Analyst to join the Data for AI team. This is a hands-on, customer-facing role focused on working with leading AI companies to turn real-world data into inputs that support model development and evaluation.
Youll collaborate closely with external AI teams and internal engineering and product partners to deliver data-driven solutions for specific AI use cases. The work is fast-paced, technical, and often open-ended, requiring comfort with large datasets, ambiguous requirements, and end-to-end ownership.
What does the day-to-day looks like:
Own end-to-end delivery of data solutions for AI use cases, from understanding model and product requirements to analysis, implementation, quality, and automation
Work hands-on with large, raw datasets to create high-quality data inputs that support model training, evaluation, and iteration
Apply strong quantitative analysis and data exploration skills to assess coverage, quality, and behavior of data used in AI systems
Build scripts, analyses, and reusable components in Python and SQL to support scalable and repeatable workflows
Collaborate closely with Engineering to ensure solutions are reliable, scalable, and production-ready
Partner directly with external AI teams and internal stakeholders to translate open-ended questions into concrete data outputs

We are seeking a highly motivated and experienced Senior Product Analyst to join our team. This position is part of our Voice Group, reporting to the Data Team Lead. You'll be the analytical backbone of the team, working side-by-side with PMs and engineers to find what's working, what can be improved, and what to build next.

We are looking for someone with a relentless curiosity for both user behavior and AI/ML mechanics; someone who understands how models function and possesses a natural drive to dig into data anomalies until they make sense. Your work will directly shape how our voice agents perform, from surfacing patterns in conversation data to providing the inputs that improve our models.

Responsibilities
Analyze conversational data at scale to uncover opportunities for improving resolution rates, success rates, conversation depth, and growth.
Partner closely with Voice PMs to translate data findings into product priorities and roadmap inputs.
Provide the analytical insights and requirements that drive model improvements while collaborating with ML and engineering teams to define and own end-to-end success metrics.
Build and maintain dashboards and metrics that give the Voice group a shared, reliable view of performance.
Design and analyze experiments and A/B tests to validate hypotheses about agent behavior, conversation flows, and user outcomes.
Develop a deep understanding of our conversational data, taking full ownership of the analytical infrastructure to ensure the highest standards of data integrity and becoming the primary storyteller for your domain.
Proactively investigate data anomalies or gaps to identify root causes and propose solutions without waiting for external direction.

As a Data Analyst, you will be part of the maritime intelligence R&D research team, driving technological excellence in our mission of safeguarding the naval domain and securing global trade with AI technology.

You will immerse yourself in the fascinating maritime world and complex multi-modal datasets, conducting research and analysis using Python. Your insights will drive strategic decisions and shape the future of our products.

What will you do?

Analyze diverse datasets to uncover actionable trends, patterns, and anomalies that drive our intelligence capabilities
Utilize GenAI models for advanced data analysis and as productivity tools
Ensure the quality and integrity of core intelligence data
Write Python code to query diverse sources (Postgres, Mongo, S3), conduct deep analysis, and build heuristic models and detection algorithms
Become a domain expert to interpret data accurately in naval and maritime contexts
Design clear visualizations to communicate insights to a diverse audience
Work with a team of domain and technical experts to solve complex challenges
Join the Data Analysts technical guild to help grow data community

we are looking for a Business Data Analyst.
Responsibilities:
Plan, organize, facilitate, and lead reviews of business requirements with users and developers to ensure accuracy, completeness, and mutual understanding.
Collaborate with vendors to design, develop, and implement Automation solutions using RPA tools such as Automation Anywhere, SQLs, Python and VBA.
Utilize expertise in programming languages such as SQL and Python to perform data analysis and recommend various solutions to improve data accuracy, timeliness, and completeness.
Create data visualizations utilizing tools such as Tableau\Power BI to present and recommend alternative solutions as well as drive data-driven decision-making.
Conduct feasibility studies to determine the technical and economic feasibility of the proposed solution.
Understand and document well-organized, detailed, and concise business requirements by converting the results of data from interviews and conducting own analysis.
Identify opportunities in current processes, conduct GAP analysis to quantify issues, and recommend alternative solutions that will optimize process and/or improve the completeness, timeliness, and quality of the data set.
Coordinate and collaborate effectively with the project team, including but not limited to end-users, product management, evaluations, index, portfolio analytics, quality assurance, project management, and development teams to mitigate and assess project risks, eliminate ambiguities, and meet project deadlines.
Examine current business functions and system capabilities. Identify trends and causations of inaccurate and/or incomplete data sets by conducting in-depth root cause analysis.
Determine efficiencies, accuracy, timeliness, completeness gained from recommended solutions.
Monitor project progress by tracking activity, resolving problems, and publishing progress reports. Prepare production release notes and organize review sessions with RDO and DSG groups to ensure a full understanding of release scope.
Apply problem-solving skills to create innovative workflow resulting in increased productivity.
Write complete and concise test scripts for user acceptance testing. Plan, coordinate, and execute created test cases.
Identify any potential data gaps resulting from the creation of new fields and/or rules. Work with related groups to confirm completion of data backfills required after a production release.
Coordinate closely with the RDO training team to ensure all training documentation is adjusted, and all training sessions are completed before the release rollout.
Mentor junior team members on Automation tools and best practices.
Create working relationships with Data Vendors to understand content and escalate issues.

Join our company's growing Travel Product Strategy & Analysis team as an Analytics engineer focused on driving strategic product decisions through data-driven insights. You'll be at the center of product investment strategy, working directly with Product Managers, Engineering, Design, Leadership and Data Teams to harness data insights and empower teams to optimize our marketplace and user journey on our company Travel.
As a key member of our small, high-impact team, you'll own business understanding for our travel platforms and serve as the analytical backbone. You will focus on execution by delivering insights, building dashboards, track metrics, develop models and analyze results. This role combines deep data fundamentals and thorough analytical rigor with strategic product thinking to influence investment decisions.
What Youll Do:
Work cross-functionally with Product, Engineering, Leadership and Design teams to deeply understand business needs and translate them into data requirements, well-defined metrics, and analytical tools to enable KPI tracking
Design, build, and maintain scalable, reliable data models and infrastructure to support analytics, operations, and product use cases
Champion data quality, documentation, and execution to ensure observability and trust across the organization
Own all data aspects of the flights team line of business
Spearhead AB testing development and implementation to increase deployment trust.
Support ongoing and adhoc analyses to ensure business goals are met and to uncover areas of opportunity.

Were looking for a strong Legal Intelligence Analyst to help scale our Consumer Protection team.
The role focuses on researching legal violations and building data-driven ways to identify them at scale. Youll work on turning legal theories into structured data workflows, using large datasets, APIs, data analysis, vibe coding and automation to uncover patterns and surface litigation opportunities
Were looking for someone with a solid understanding of law who is comfortable working with data and AI tools and thinking analytically about legal phenomenons. Someone who enjoys digging into legal questions and theories, and building scalable data solutions. We also value someone who enjoys working in a team and collaborating closely with different teams across countries.
Responsibilities:
Research and analyze potential legal violations in the consumer protection space
Turn legal theories into structured, scalable data workflows
Work with large datasets, APIs, vibe coding and internal tools to identify patterns and surface litigation opportunities
Build and improve automated processes for detecting violations at scale
Collaborate with Product, R&D, Sales, and Legal teams to develop and refine intelligence tools
Support case development by generating insights, summaries, and data-driven evidence
Monitor new trends, regulations, and enforcement activity to identify new opportunities
Continuously improve how we collect, structure, and analyze data across cases

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 first Senior Data Product Manager to join our Retail Intelligence team, reporting to the head of product.
Why is this role so important?
We're looking for a Senior Data Product Manager to drive the strategy, architecture, and execution of the data that power the Retail Intelligence products suite, eCommerce analytics product.
This role sits at the intersection of data infrastructure and customer value - you'll own the datasets, pipelines, and methodologies that help leading brands and retailers make confident decisions about their commerce assets.
What youll experience on this team?
Work with top talent across data, engineering and product teams.
Ship AI-powered capabilities iteratively, improving with every release.
Work with latest technology in an ever-evolving work environment
Operate with a startup mindset: move fast, think big, and build long-term value for customers.
Have direct impact on how customers make business decisions
What youll do as a Senior Data Product Manager?
Own the vision, roadmap, and delivery of the datasets that underpin Retail Intelligence, from eCommerce traffic and conversion data to product-level insights and category benchmarks.
Lead AI integration into internal processes and core features that speed customer decisions.
Define and track data quality metrics (completeness, coverage, freshness, accuracy) and establish validation, logging, and governance frameworks.
Lead modularization of data structures to enable scalability, and continuous improvement.
Stay close to customers and the market through ongoing research and interviews.
Partner with engineering, data science, design, sales, and marketing to deliver and drive adoption.