דרושים » תוכנה » Product Analyst

we are looking for an experienced BI Developer with strong analytical and engineering capabilities and a business-oriented mindset to join our team. We seek a candidate who can independently lead end-to-end data processes, understand business challenges, and deliver actionable insights that align with organizational goals. As a key member of our team, youll need the ability to partner with cross-functional teams, communicate effectively with both technical and non-technical stakeholders, and think strategically to address evolving business needs.We are searching for a curious and initiative-taking individual who can delve deep into business problems, perform in-depth analyses on datasets containing millions of records per day, and extract impactful insights to support data-driven decisions. This is a unique opportunity for someone with 4+ years of BI development and analytical experience to play an essential role in scaling operations within a rapidly growing, dynamic environment.
If youre passionate about turning data into actionable strategies and thrive on solving complex business problems, Aura is the place for you to grow and make a difference.
What you'll be doing:
Analyze complex datasets and extract meaningful insights. Identify trends, patterns, and correlations within the data to inform strategic decision-making.
Design, manage and maintain analytics products and BI solutions for the entire group.
Create clear and visually compelling reports and dashboards to present analytical findings to key stakeholders. Collaborate with cross-functional teams to develop customized reporting solutions that address specific business needs.
Work closely with multiple teams (R&D, Product, Monetization and more) to understand business objectives and provide analytical support for strategic initiatives. Translate business requirements into actionable analytical tasks and deliverables. Proactively identify opportunities for process improvement and optimization based on data-driven insights.

We are looking for a Product & BI 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 numbersyoull 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 strategyempowering 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 seek a Director of Data to join us and lead our data group.
As our Director of Data, you will be a key member of our R&D leadership team. You will be responsible for developing and executing a data strategy that aligns with our business goals, overseeing data management, analytics, and validation, and ensuring data integrity at every stage of product development and production.
A day in the life and how youll make an impact:
Define and execute a strategic data roadmap aligned with business objectives, fostering a data-driven culture and leading a high-performing team of data engineers, scientists, and analysts.
Establish robust data validation frameworks, ensuring product integrity and accuracy through all stages, from data acquisition to end-user delivery.
Build and optimize scalable data infrastructure and pipelines to support our data needs and ensure data security, compliance, and accessibility.
Collaborate with product and engineering teams to create and launch data-driven products, ensuring they are built on reliable data and designed to meet customer needs.
Guide the team in generating actionable insights to drive business decisions and product innovation in areas such as personalization, marketing, and customer success.
Implement data governance policies and maintain compliance with industry regulations and best practices.

We are Tailor Brands . We built a platform that builds businesses. From launching and managing to growing a business, Tailor Brands is the all-in-one solution that empowers any business owner. Our platform services over 40 million small businesses Our “Guidance Engine” assesses each new business introduced to our platform and devises a tailored plan that allows you to manage all your business needs from a single dashboard Through our business-building platform, we’re turning the process of starting, managing, and growing a business into a better experience and simplifying the business journey. At Tailor Brands, we believe in more than just handing you another tool; we are dedicated to teaching you the art of building a business
?We’re Looking for a Product Analyst – Join Our Data Driven Journey! As a data-driven organization, insights from our Data Team are essential to shape our strategy and improve the experiences of our customers. We’re looking for a highly motivated data analyst to join our team and work in a dynamic Big Data environment You are detail-oriented, analytical, and passionate about understanding user behavior. In this role, you’ll turn data into actionable insights, influence product decisions, and help drive the success of our platform.
Key Responsibilities Analyze user behavior: Monitor and evaluate website activity patterns and user flows to enhance usability and customer experience. AB Testing: Conduct in-depth analysis of AB tests to provide stakeholders with actionable, data-driven recommendations for product and user value enhancements. Metric Monitoring & Insights: Track product performance metrics, identify trends, and raise alerts on significant changes. Perform periodic and ad-hoc analyses to recommend impactful solutions. Visualization & Reporting: Create and maintain dashboards, reports, and daily summaries that present key SaaS metrics and actionable insights. Collaborate Cross-Functionally: Work closely with teams across Product, Marketing, Customer Success, Finance, and Management to support data-driven decision-making.

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 Product Analyst thats proactive, curious, entrepreneurial, and has a strong opinion. The product Growth Analyst role is embedded within product teams and drives impact end-to-end through the product development life cycle.
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 work closely with Product teams and your responsibilities will include:
Analyze user behavior and product usage to identify customers needs to inform product development and strategy.
Collaborate with the Product team, to define KPIs and measure the impact of product development on performance.
Measure features adoption and retention and identifies opportunities for growth..
Design, execute, and analyze A/B tests to measure the impact of product 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 product optimization.

We are a top player in its game and is heading for an exciting year. In this role, you will take an integral part in the creation of a new and innovative SaaS product.
If you are a talented data analyst that is passionate about elevating trust and customer protection and looking for your next challenge we want you to join our team!
What You'll Do:
Learn, maintain and improve our fraud detection process
Be an escalation point for investigations of customers and suggest optimization activities to improve their performance
Identify, analyze and visualize data trends and translate them into actionable business insights
Manage fraud cases while acting as the main point of contact with stakeholders across the company
Develop and automate reports, dashboards, notebooks and pipelines to provide insights at scale, solving for analytical needs
Work closely with Product and Analytic teams to support decision making as part of new features rollout

We are looking for an experienced and talented Head of Data to join our leadership team in Israel. This is a strategic senior role, reporting directly to the local CEO, with full ownership of the Data pillar. Youll lead a multidisciplinary team of Analysts, Data Engineers, and Data Scientists, managing high-impact, cross-functional projects that support key business goals.
Beyond team leadership, you'll shape how data is used across the organization from building the right infrastructure and tools to unlocking insights that drive decisions. Working closely with senior stakeholders, youll turn complex business needs into practical data solutions, influence product direction, and stay hands-on with real technical challenges. Youll work directly with cutting-edge technologies like BigQuery, Python, machine learning (ML), web scraping, and large language models (LLMs) to drive innovation and enable data-driven decision-making across the company. This is a rare opportunity to combine strategic impact with daily technical depth in a dynamic, fast-moving environment.
Key Responsibilities:
Lead and manage the Data pillar in Israel, including a multidisciplinary team of Analysts, Data Engineers, and Data Scientists.
Be hands-on in solving complex data challenges and contributing directly to core data initiatives.
Oversee end-to-end delivery of cross-organizational data projects.
Collaborate closely with various departments including Marketing, Finance, Sales, and senior management.
Partner with global data teams across the organization.
Own the local data infrastructure, data quality, and analytical and operational processes.
Champion a data-driven mindset and foster collaboration around data.

We are looking for a Senior Marketing Analyst.
Responsibilities:
Insight Generation: Analyze and interpret complex marketing data (customer behavior, campaign results, market trends) to identify key insights and opportunities for optimization.
Data Exploration: Leverage large and diverse datasets to uncover patterns, trends, and potential growth drivers across all marketing channels and initiatives.
Performance Optimization: Monitor key performance indicators (KPIs) to evaluate campaign effectiveness, identify areas for improvement, and drive continuous optimization of user acquisition and engagement efforts.
Reporting & Dashboards: Design, develop, and maintain intuitive dashboards and recurring reports that effectively communicate key findings and recommendations to stakeholders and leadership.
Cross-Functional Collaboration: Partner closely with marketing managers, product teams, analysts, and data engineers to provide analytical support for strategic decision-making and business planning.
Advanced Analytics: Apply advanced analytical and statistical techniques (e.g., regression analysis, cohort analysis) to identify growth opportunities and improve marketing ROI.
Process Improvement: Proactively identify opportunities to optimize marketing analytics processes, automate reporting, and enhance data accuracy.

As a Data Engineer, you will collaborate with various stakeholders to design, develop, and maintain data analytics solutions that enable informed business decisions. You will use the latest tools and technologies to ensure the data is accurate, timely, and actionable
How is your day going to look, what will you be doing?
Develop data solutions in collaboration with data analysts, data scientists, product engineers, and product managers
Design and develop the infrastructure for ingesting and processing data in the analytics data warehouse
Design data analytics modeling solutions focused on business decision-making
Write robust ETL processes, handling a variety of structured and unstructured data sources
Ensure data quality, consistency, and governance across the analytics layer.

As a Data Engineer Tech Lead, you will play a central role in shaping our data strategy and guiding the team in building and optimizing analytics data pipelines that power business decisions across the organization. Beyond driving complex data initiatives, youll be a hands-on mentor and technical advisor, supporting other data engineers, fostering a culture of collaboration, and ensuring the teams overall growth and success.
Key Responsibilities:
Lead and mentor a team of data engineers, providing technical guidance, support, and regular feedback to enable their growth.
Architect, design, and evolve robust, scalable data pipelines and ETL/ELT processes for diverse structured and unstructured data sources.
Serve as a technical advisor for data best practices across the organization, collaborating with data analysts, data scientists, engineers, and product managers.
Define and evolve analytics-focused data models that empower business stakeholders with timely and reliable data.
Drive initiatives to improve data quality, governance, and observability across the analytics stack.
Act as a bridge between technical and non-technical stakeholders, helping translate business needs into actionable data solutions.
Champion engineering excellence, including code reviews, documentation, and knowledge-sharing.
What your day might look like:
Leading the most complicated data projects our company has to offer Hands on
Supporting other engineers by reviewing code, troubleshooting architecture, and encouraging best practices.
Leading the technical direction of new pipelines or data modeling initiatives.
Meeting with product managers and analysts to align on priorities and define the right data solutions.
Guiding your team through design discussions, trade-offs, and implementation decisions.
Helping the team deliver with high reliability, scalability, and speed.
Driving initiatives that improve the maintainability, observability, and impact of the data platform.