Required Data Analyst - Base44
Tel Aviv
Job Description
As a Data Analyst, you'll play a key role in shaping and driving data-driven decisions for Base44. This high-impact, fast-paced role is focused on building a new product category, requiring a proactive problem-solver who thrives in a dynamic environment. In your day-to-day, you will:
Analyze large datasets to inform, influence, and support Base44 business decisions
Lead data and analytics initiatives, collaborating with teams across the company
Build and maintain reports, dashboards, and metrics while ensuring data accuracy and integrity
Create tools to streamline data processes and improve efficiency
Plan, execute, and analyze A/B tests to optimize features and implement new ones
Perform detailed customer analyses, including churn, behavior, segmentation, trends, and customer value.

A Product Analyst plays a key role in leveraging data to drive product decisions and improvements. By analyzing product performance, user behavior, and key metrics, they provide actionable insights to product teams and stakeholders. The Product Analyst collaborates with various teams to optimize features, set KPIs, and ensure the product is aligned with business goals through data-driven decision-making.

What You Will Do:
Provide Data-Driven Insights: Support product teams and stakeholders with actionable insights to drive product decisions.
Develop Reports & Dashboards: Build and maintain reports, dashboards, and alerts using BI tools.
Analyze User & Product Data: Analyze user behavior, product performance, and usage data to track product health and optimize features.
A/B Testing & KPI Monitoring: Own KPIs and A/B testing, monitor results, and drive product improvements.
Optimize Funnels & Activities: Continuously analyze and optimize user funnels and product activities.
Collaborate Cross-Functionally: Work with product managers, engineers, and other teams to inform product priorities with data.
Data Automation: Automate data integrity and validation processes to ensure consistent and accurate reporting.

We are looking for an ambitious Production Analyst, who wants to make a strong impact by implementing detailed investment policy configurations (Python) and performing comprehensive quality checks, ensuring that the policy delivers the required portfolio KPIs.The Analysts conduct various analyses projects, highly influencing the business aspects of the company. You should be comfortable working quickly and handling a busy workload, demonstrate meticulous attention to detail and critical thinking while collaborating effectively with both highly technical teams and executive stakeholders.
This individual will join the Portfolio Management & Research department, and will be part of a team that has both data scientists and data analysts, focusing on the company's main credit products and working closely with the production environment.
Responsibilities:
Managing and implementing (Python) underwriting policies in the production environment.
Perform quality analytics checks to ensure the policy logic meets the defined requirements (Portfolio KPIs) and works correctly in all scenarios, with a direct impact on the overall performance and outcomes of the portfolio.
Conducting tests to evaluate each component of the policy configuration to validate the results.
Monitoring of the policy behavior in production and analyze if the actual results meet the expectations.
Demonstrate the ability to present and provide meaningful business insights from data.
Perform ad-hoc analysis to support business decisions.
Create innovative & interactive dashboards, scorecards, and weekly/monthly reports on the status of key business measurements tailored to all audiences (from executive management to business line employees) using BI tools, Python and SQL queries.

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.

Data/Business Analyst - Marketing
Job Description
As a Business Analyst, 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 .

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.

We are looking for a hands on, proactive, and impact driven Senior Business Analyst to join our data team. In this role, youll shape how the company measures success and help embed a strong data driven culture across every domain, from business operations to product, finance, and beyond.

This is an opportunity for someone who thrives in dynamic, fast changing environments, loves building from scratch, and is just as comfortable running deep analyses and leading cross functional measurement discussions as they are partnering with data engineering to design scalable data models that empower the entire organization.

In this role you will
Collaborate with cross functional teams to understand business objectives and develop data driven solutions
Lead measurement and metric discussions with diverse stakeholders, translating needs into clear, consistent, and actionable definitions
Conduct deep dive analyses to uncover insights and deliver impactful recommendations
Partner with data engineering to design scalable data models and improve data accessibility
Build clear, intuitive dashboards and reports to track performance and enable self serve analytics
Proactively monitor business metrics and provide timely insights to optimize operations and identify opportunities
Promote a data driven culture by empowering teams to use data confidently in decision making
Mentor teammates and contribute to the growth and maturity of the data function

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

AS a Senior Data Analyst to join our R&D team, you will be responsible for- shaping how we understand data, drive insights, and influence strategic decisions across the company. Youll work closely with teams across Blockaid to uncover trends, identify opportunities, and help guide the direction of our business.



Your Chain of Impact:



Identify, analyze, and interpret trends or patterns in complex datasets to uncover actionable insights.
Partner with cross-functional teams to understand business needs and design data-driven solutions.
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.

We're seeking a talented Data Analyst to join our Data Analysts team.

This role combines technical expertise with analytical thinking to ensure our data classification systems deliver accurate, reliable results for our customers. We use a combination of ML abilities, including NER and LLMs, along with great engineering and analytics to deliver findings on millions of files and tables a day.

Responsibilities:
Design and implement classification to expand coverage of sensitive data types, owning the end-to-end process from research and analysis through production deployment.
Design, build, and maintain data pipelines and dashboards to track product performance, business metrics and deliver actionable insights to stakeholders at all levels.
Build automated workflows to evaluate and benchmark model performance, monitor data quality, and generate comparative analysis reports.
Work from within the R&D Data team, take part in the discussions revolving around our AI research objectives, priorities and solutions.