דרושים » תוכנה » Product data Analyst

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.

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.

Were looking for a talented individual with a pioneering spirit to join the Core Product Analysts Team.
This team plays a central role in shaping the direction of most essential product offerings, by providing deep analytical insights and supporting data-informed decision-making across the companys core solutions.

The ideal candidate is highly technical, data-driven, and experienced in working with large-scale data platforms. As part of this team, you will be responsible for analyzing product usage and performance, identifying opportunities for innovation and optimization, and ensuring the accuracy and reliability of data across our core products. You will work closely with product managers, engineers, and cross-functional business stakeholders to deliver actionable insights and drive continuous product improvement.

What youll do

Analyze large-scale datasets to identify trends, inefficiencies, and opportunities across core products.
Develop and execute ongoing analyses to generate insights that support product strategy, design, and development decisions.
Create and maintain dashboards, monitoring tools, and ETL processes to enhance visibility into product performance and user behavior.
Propose, lead, and implement data-driven initiatives that improve product functionality, user experience, and overall business impact.

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

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.

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 are looking for a Senior Data Analyst to join our data team and serve as a key analytical partner to the business.
In this role, you will turn large-scale cloud usage data into insights that influence product decisions, customer value, and company growth.
This role goes beyond technical analysis. It requires strong business understanding and the ability to connect data to real-world outcomes.
As an independent function working closely with development teams, your insights will directly impact research quality, prioritization, and decision-making across the company.
Your Ownership Will Include:
Analyze data from cloud service providers and additional internal and external sources, with a clear focus on business and product impact.
Structure, clean, and organize unstructured and semi-structured data.
Investigate anomalous activity and assess product, customer, and business risks.
Translate complex analyses into clear, actionable insights for decision-makers.
Create concise reports that highlight trends, risks, and opportunities.
Define, track, and refine core product and business metrics.
Contribute to dashboards that support data-driven decisions across the organization.
Work closely with Product and Engineering teams as an independent analytical partner.
Operate autonomously with strong ownership, accountability, and attention to detail.