לוח משרות דרושים Data Analyst

We are seeking a highly motivated and analytically driven Junior Product Data Analyst to join our amazing, growing team. This is an exceptional entry-level opportunity for a recent graduate eager to apply their strong analytical capabilities in a challenging and high-impact environment. Youll play a crucial role in understanding user behavior, optimizing product performance, and contributing to data-driven decision-making that directly shapes the future of our globally-used applications.
What Youll Do:
Support Product Insights: Collecting, processing, and analyzing product performance data, user feedback, and market trends to generate actionable insights.
Data-Driven Optimization: Contribute to analyzing the success of new features post-release, monitoring usage patterns, and supporting tests to optimize performance and business results.
Problem Identification: Help identify opportunities for key initiatives to enhance the customer experience through rigorous data examination.
Cross-Functional Collaboration: Work closely with our R&D and Graphics teams, contributing to detailed specifications and understanding the product lifecycle from a data perspective.
Market Understanding: Support research into market dynamics, competitive landscapes, and user needs to inform product strategies.

Were looking for an experienced Salesforce Business Analyst with strong technical expertise to join our team. As a Salesforce subject matter expert, youll be responsible for delivering scalable, high-quality Salesforce solutions, optimizing workflows, and enabling business teams through reliable system execution.
Working closely with Product Managers, business stakeholders, and other technology teams, youll focus on translating business requirements into robust Salesforce implementations and own E2E solution delivery.
If you thrive in a fast-paced environment and enjoy solving business challenges through technology, this role is for you.
Job responsibilities
Design and build scalable Salesforce solutions in collaboration with Product Managers, Business Operations, and global stakeholders.
Own end-to-end functional delivery, including technical solution design, configuration, implementation, testing, training, and ongoing optimization.
Provide global application support for business stakeholders and end users, ensuring stability, usability, and timely issue resolution.
Identify and implement system enhancements based on defined business needs and Salesforce technical capabilities.
Lead the delivery and maintenance of integrations between Salesforce and third-party tools, working with external vendors to ensure reliable and scalable functionality.

we are seeking a Customer Success Data Analyst - a data-driven professional who combines advanced analytical and SQL skills with strong customer-facing abilities.
This role is primarily focused on data analysis, validation, and integration, helping customers achieve success through deep understanding of their data and business logic.
You will act as the analytical backbone of the Welcome Team, ensuring smooth onboarding, accurate data integration, and meaningful insights that drive adoption and value.
This is not a traditional Customer Success role - its a technical, data-focused position requiring hands-on SQL work, data modelling, and business logic exploration, combined with the communication and collaboration skills to work directly with customers.
Key Responsibilities:
Act as the primary data expert for customer onboarding, ensuring accurate data understanding and integration.
Partner with customers to understand their business logic and translate it into actionable data mappings within the platform.
Perform deep SQL analysis on raw datasets to validate structures, uncover issues, and ensure data integrity.
Identify gaps, inconsistencies, and edge cases, and proactively propose corrective actions.
Analyse customer usage data to identify trends, adoption challenges, and opportunities for improvement.
Create data-driven reports and visualizations that communicate findings clearly to both technical and business audiences.
Work cross-functionally with R&D, Product, and QA to ensure smooth data onboarding and accurate system behaviours.
Manage multiple onboarding and data-integration projects simultaneously, maintaining clear timelines and communication.

We need a Data Analyst to help us analyze the millions of data points generated daily. Your insights will drive smarter decisions, optimize product performance, and enhance device identification.
This isn't just another data job-it's your opportunity to innovate, collaborate, and make a significant impact in seamless networking.
What Youll Be Doing:
Analyze large, complex data sets of millions of connected devices to address data plan needs for growth, user behaviors, and business questions.
Produce customer reports on product performance, trends, and new features added.
Engage with different teams within the organization, work in collaborative teamwork, and contribute to innovative ideation.
Increase device identification coverage by using automation techniques and out-of-the-box thinking.

We are looking for a hands-on, strategic Business Application Manager with a proactive, ownership-driven mindset. Someone who takes initiative, thinks beyond the immediate task, and translates data into real business impact. This role requires a unique mix of systems expertise, project management, and analytical skills. Youll not only implement and optimize our platforms but also analyze ROI, create data-driven case studies, and help leadership make informed decisions.

Reporting to the VP of Customer Success, youll work cross-functionally with Sales, Marketing, Finance, Procurement, and Operations to ensure the company has the right tools, workflows, and insights to scale effectively.

This is part project manager, part systems owner, and part business analyst. Youll lead end-to-end implementations, integrate platforms like Salesforce, Intercom, Quicksight, create dashboards and reports, and drive process optimization across the business.


Key Responsibilities

Platform Ownership & Integration

Implement, configure, and maintain core business platforms: CRM (Salesforce), CS tools (Intercom/Zendesk), BI (Quicksight/Tableau), and others.

Serve as system administrator: manage configuration, user roles, workflows, and integrations.

Ensure data integrity and consistency across all systems; reduce silos and duplication.

Evaluate, procure, and integrate new tools as the company scales.


Data Analytics

Build and maintain dashboards and recurring reports for leadership and GTM teams.

Track and analyze key metrics: pipeline, revenue, churn/retention, customer health, support SLAs, and financial KPIs.

Define and maintain KPIs as a single source of truth; ensure alignment across teams.

Analyze ROI and build case studies to demonstrate impact and inform decision-making.

Leverage AI and automation to accelerate insights and improve reporting.


Process Optimization & Project Management

Lead end-to-end business application projects: from scoping and requirements gathering to implementation, testing, and adoption.

Map, analyze, and optimize cross-functional business processes (Customer Success, Sales, Operations).

Drive change management: document workflows, train teams, and promote adoption.

Manage project timelines, dependencies, and risks; deliver high-quality solutions on schedule.


Cross-Functional Enablement

Partner closely with GTM leaders to streamline forecasting, reporting, and operational cadences.

Support forecasting and planning processes, ensuring clean and accurate data.

Act as a trusted advisor to leadership on systems, processes, and data-driven decision-making.

Provide ad-hoc analysis and insights to inform strategy.

Are you passionate about turning data into real-world impact? At Sensi, were looking for a sharp, data-driven thinker and doer to join our product team. As our Product & BI Analyst, you wont just crunch numbers-youll unlock insights that shape how we build, deliver, and scale products that make a difference in peoples lives. Youll be at the intersection of product, operations, and strategy-empowering teams across the company to make smarter, faster, and more impactful decisions.
Key responsibilities:
Own the BI domain: Lead company-wide analytics, define processes, and champion a data-driven culture.
Enable data-driven teams: Partner with Product, Operations, Customer Success, Marketing, and Sales to track KPIs, analyze performance, and uncover improvement opportunities.
Turn data into impact: Identify trends, anomalies, and opportunities that shape product and business decisions.
Define KPIs and data needs: Collaborate with Product and R&D to define success metrics, guide event implementation, and ensure relevant data sources and flows are in place.
Design accessible reporting interfaces: Build intuitive dashboards and reports that provide easy access to key metrics and clearly surface insights for each stakeholder.
Recommend the right tools: Evaluate and guide the selection of data tools that support evolving business needs.

we are looking for a Clinical Data Labeling.
The Clinical Data Labeler contributes significantly to the training of our AI models, which aim to enhance the quality of life for senior citizens. This position involves meticulously tagging and classifying textual data based on clinical and technical criteria to ensure high-quality AI training datasets.
Key Responsibilities:
Review and analyze textual data, including speech and other relevant sounds.
Accurately tag and classify textual data using clinical and technical criteria.
Collaborate with the AI team to refine and improve labeling guidelines.
Communicate regularly with the team to report challenges, suggest improvements, and ensure consistent data labeling.
Maintain a high level of attention to detail to ensure quality and accuracy in data labeling.

were looking for an ambitious, analytical, and resourceful Business Operations Associate to join our Biz Ops team. This role is perfect for someone looking to gain hands-on experience in optimizing business processes, driving efficiency, and supporting strategic initiatives in a high-growth environment.
This role is all about driving results by making operations smoother and smarter, working across teams to identify gaps, improve execution, and turn strategy into clear, scalable processes that support success.
Responsibilities:
Own hands-on operational execution, including recurring tasks that keep the business running smoothly, with strong attention to detail and follow-through.
Maintain, improve and create new workflows, SOPs, documentation, and internal tools to drive efficiency and consistency while allowing for flexibility.
Identify operational gaps, design scalable solutions, and lead implementation from problem definition through execution.
Define, track, and analyze key metrics to measure impact and continuously optimize processes.
Own licensing and compliance projects, a core responsibility in a highly regulated operating environment.
Lead & support strategic projects, including cross-functional collaboration to ensure alignment, clear communication, and smooth execution of company-wide initiatives.

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.

Were looking for a Data Analyst whos passionate about turning data into actionable insights. You will support the analytical backbone of the Duty Drawback program, helping optimize one of our companys most impactful operational processes.
Responsibilities:
Analyze operational data to support drawback claim generation and compliance.
Build and maintain dashboards and KPIs for program visibility.
Support merchant eligibility and participation analysis to uncover new revenue opportunities.
Collaborate with Developers, Product and BI to ensure data accuracy, availability and integrity.
Prepare data extracts for audits and compliance checks.
Support improvements in data workflows, automation, and reporting.

We are looking for an OCC Monitoring Specialist to join our fast-growing OCC Monitoring team.
Reporting to our OCC Monitoring Team Leader, you will be responsible for monitoring the infrastructure, applications, and business aspects of the company. We provide the opportunity to become acquainted with the inner workings of the exciting world of Fintech and online payments. Many of our OCC Monitoring Specialists have been promoted internally and integrated into development, DevOps, and product teams.
This position doesn't include a hybrid mode; it only involves working from the office.
We work in 24/7 shifts: 08:00 to 17:00, 17:00 to 00:00, 00:00 to 08:00, including weekends and holidays.
Responsibilities:
Responding to events and various technical problems in real-time
Monitoring and liaising activities of the production environment, maintaining the company's monitoring systems, network, business transactions reports, and data analysis regularly
Tracking the events until problems are resolved, contacting the relevant parties in the organisation as needed
Data analysis and fault investigations.

Our Privacy team is growing, and we are looking for a Legal Intelligence Analyst to join the team.
Responsibilities:
Play a key role in our Analysis core team - combining technology research, intelligence gathering, data analysis, and legal research capabilities.
Translate the companys needs into actionable data collection plans.
Locate new data sources, using advanced analytical tools.
Help establish automatic methods in collaboration with our Product and R&D team.

We're looking for a Product Data Analyst with fraud expertise to serve as fraud gatekeeper, helping us stay one step ahead of fraudulent claims.
You'll partner closely with our Analytics and other Data Teams, Special Investigation Unit, and Underwriting teams to flag and prevent potential risks that could impact our business. This role is about shaping fraud detection strategies by leveraging data to solve complex product and business problems - tackling analytical questions, monitoring key metrics, modeling intricate datasets, and delivering actionable insights that directly influence our strategy.
In this role youll:
Shape fraud detection strategies by analyzing claim patterns, testing new prevention methods, and building data-driven recommendations that protect the business
Partner closely with cross-functional teams including Special Investigation Unit, Underwriting, Analytics, Product, and Data teams to flag risks and improve decision-making
Design and execute A/B tests on key flows and processes to strengthen fraud defenses and optimize detection capabilities
Monitor and analyze key metrics through fraud trend detection, feature tracking, experiments, and platform health monitoring to stay ahead of emerging threats
Model complex datasets using Snowflake, Python, and other tools to uncover hidden fraud patterns and business risks
Deliver actionable insights by presenting findings and recommendations to stakeholders across the company to drive product and business decisions
Explore new data opportunities by leveraging internal and external data sources to improve fraud mitigation and push product strategy forward