לוח משרות דרושים Senior Product Analyst, לחיפוש זה נמצאו 6 משרות !

Required Senior Product Analyst
Tel Aviv
As a Senior Product Analyst, you will:
Influence change by presenting product and customer data-driven insights to product management and senior leadership; confidently present the outcome of your analysis and make recommendations to executives and team leaders.
Be the right hand of product and business leaders in building business cases for new product functionality, and tracking the effectiveness of the functionality over time; monitor key metrics, identify business trends and generate forecasts.
Lead deep-dive analysis that will frame product strategy and product roadmap decisions.
Foster our data-centric, continuous learning culture with your passion for telling stories with data; grow our best practices around reporting quality, data hygiene, and data governance.
Own the design, development, and maintenance of ongoing dashboards and their underlying data sets.
Work collaboratively with product managers and engineers to ensure the right data is generated and collected.

Were searching for a Senior Product Analyst to join our elite team and take our data game to the next level. In the past year alone, weve conducted over 200 A/B tests, and were just getting started. If youre a data wizard who thrives on uncovering insights and driving product strategy, this is the role for you.
Responsibilities:
Own the end-to-end analytics process, from data collection to insight generation.
Identify trends, opportunities, and actionable insights to fuel our explosive product growth.
Create stunning data visualizations and reports that inspire cross-functional teams to make data-informed decisions.
Lead high-impact testing initiatives to validate hypotheses and shape product development.
Manage and optimize our robust data pipeline to ensure scalability as we continue to skyrocket.

Prisma Photonics is a rapidly growing startup company, developing the next-generation smart-infrastructure solutions based on novel fiber-sensing technology. The company offers an award-winning disruptive solution: a “sensor free” approach to smart infrastructure. The company is VC backed and in the revenues stage. Combining pioneering technology in optical fiber sensing with state-of-the-art AI, we help protect human lives and keep critical energy. We're seeking a Senior Data Analyst to take a key role in unlocking the value of our vast datasets collected over years and across a diverse client base. In this role you’ll dive deep into data related to power line capacity, macro-scale and micro-scale weather, grid resilience, conductors and more. Your work will directly influence how we optimize grid performance and respond to the challenges of today’s energy landscape. This role requires a combination of technical skills, analytical thinking, and business acumen. The ideal candidate is highly skilled in data analysis techniques and tools and has a strong ability to translate data insights into actionable recommendations. You’ll thrive here if you enjoy blending technical expertise, critical thinking, and business understanding to drive smarter, data-informed decisions.

What You’ll Do:

* Collect and integrate data from various sources, including fiber-based data, weather stations, line sensors, and SCADA systems.
* Be a part of the product management team - explore customer needs, define data products and processes, and align outputs of the data science team with the company roadmap.
* Ensure data quality and consistency for accurate analysis and reporting.
* Conduct statistical analysis and use data visualization tools to present findings.
* Monitor and evaluate the performance of Dynamic Line Rating (DLR) systems and grid resilience detectors and identify opportunities for improvement.
* Provide data-driven insights and recommendations to support decision-making processes.
* Interpret and communicate results to customers and management in a clear and concise manner.
* Present key findings of your analysis to customers around the globe.

What You Bring:

* B.Sc. degree in a related field. (M.Sc./Ph.D. is an advantage)
* Experience with AI-native development environments and automation with coding agents.
* At least 5 years of experience in data analysis, business intelligence, or a related field.
* Proficiency in data analysis tools such as SQL, Python (Pandas, Jupyter, Plotly).
* Experience with product management skills, driving data science and data engineering teams, experience with open ended data tasks and explorations.
* Knowledge of statistical analysis techniques and methodologies.
* Familiarity with database management systems and data warehousing.
* Strong data visualization and presentation skills in English (foreign customers).
* Experience with data visualization tools like Tableau, Power BI, Grafana, Python Plotly or similar.
* Excellent communication and teamwork skills.
* A curious mindset and a passion for solving complex problems.

Were looking for a Senior Product Analyst who works at the intersection of product, data, and user experience, and acts as a true partner to Product teams. This role goes beyond reporting - its about understanding why users behave the way they do, shaping product decisions, and turning insights into action.
Youll be deeply embedded in how our product evolves, from defining success metrics and running experiments to influencing the roadmap with clear, data-driven recommendations.
Hands-on experience using GenAI to accelerate product analysis, experimentation design, insight generation, and decision-making processes is a must for this role.
This role is based in Tel Aviv. We work in a hybrid model, with 3 days a week in the office.
This might be for you if:
You enjoy working closely with Product Managers, Designers, and Engineers
You like answering complex questions about user behavior and product performance
Youre comfortable owning analyses end to end - from framing the problem to impact
You thrive in fast-moving, iterative environments
You actively leverage AI tools to improve analytical speed, experimentation quality, and insight depth
You care about outcomes, not just dashboards

our company, is the pioneer of Clickless Discovery. We empower the worlds most iconic brands to look beyond traditional analytics and understand the dark consumer journey - the critical path a user takes before they ever click. By leveraging massive behavioral datasets and sophisticated AI-driven agents, we provide actionable insights that help brands win at the earliest stages of consumer intent. As part of the Partnerize family - the global leader in partnership automation - our Tel Aviv team operates with the high-velocity, high-ownership mindset of a startup, backed by the stability and reach of a global enterprise. We are building the future of marketing intelligence, and we are doing it at a massive scale.

Role Mission
As our Senior Product Analyst, you will play a key role in translating complex behavioral, marketing, and platform data into clear business insights that drive product strategy, customer value, and commercial decision-making. This is not a passive reporting role. We are looking for someone proactive, curious, and business-oriented - someone who can identify the right questions, investigate complex datasets, uncover meaningful patterns, and turn findings into actionable recommendations for Product, R&D, Customer Success, Sales, and leadership teams. Konnectos platform processes large-scale consumer journey data to help global brands and publishers understand influence, attribution, and performance in a clickless discovery environment. As our products become more sophisticated, we need a strong analytical partner who can connect data, product logic, customer needs, and business context into one clear story. You will help define what success looks like, measure product performance, validate new capabilities, support strategic customer and partner initiatives, and ensure our teams make decisions based on strong data foundations.

What You Will Do
Translate complex data queries into clear business insights, recommendations, and
product decisions.
Analyze large-scale behavioral, marketing, attribution, and product datasets to
identify trends, risks, opportunities, and anomalies.
Partner with Product, R&D, CS, Sales, and leadership to frame business questions and
define the right analytical approach.
Define KPIs, success metrics, dashboards, and analytical frameworks for new and
existing products.
Support product strategy by measuring adoption, feature performance, customer impact,
and revenue opportunities.
Analyze clickless discovery, publisher influence, advertiser performance, share of
voice, and conversion behavior.

Were seeking a Senior Data Analyst to take a key role in unlocking the value of our vast datasets collected over years and across a diverse client base. In this role youll dive deep into data related to power line capacity, macro-scale and micro-scale weather, grid resilience, conductors and more. Your work will directly influence how we optimize grid performance and respond to the challenges of todays energy landscape.
This role requires a combination of technical skills, analytical thinking, and business acumen. The ideal candidate is highly skilled in data analysis techniques and tools and has a strong ability to translate data insights into actionable recommendations. Youll thrive here if you enjoy blending technical expertise, critical thinking, and business understanding to drive smarter, data-informed decisions.
What Youll Do:
Collect and integrate data from various sources, including fiber-based data, weather stations, line sensors, and SCADA systems.
Be a part of the product management team - explore customer needs, define data products and processes, and align outputs of the data science team with the company roadmap.
Ensure data quality and consistency for accurate analysis and reporting.
Conduct statistical analysis and use data visualization tools to present findings.
Monitor and evaluate the performance of Dynamic Line Rating (DLR) systems and grid resilience detectors and identify opportunities for improvement.
Provide data-driven insights and recommendations to support decision-making processes.
Interpret and communicate results to customers and management in a clear and concise manner.
Present key findings of your analysis to customers around the globe.