דרושים » תוכנה » Medical Data Analyst, Solutions

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.

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? 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. 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 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.
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.

Bottom line? If you wanna take part in transforming how people and businesses share their stories globally, your place. The work is challenging, the culture is fast-paced, and the people are exceptionally brilliant. And if thats not enough, we guarantee that your ideas will genuinely make an impact.

We are looking for an experienced and insightful Senior Product Analyst with a specific focus on Platform Analytics to join our Product Analytics team. In this role, you will play a key part in shaping the user experience of our platform by analyzing and interpreting usage data, monitoring feature adoption, and supporting new feature launches with data-driven insights. This is an ideal position for someone with a passion for understanding user behavior and platform dynamics, alongside experience in tracking and optimizing key metrics that influence platform success and user satisfaction.
The Platform Analytics role requires a blend of analytical, technical, and collaborative skills, working alongside a cross-functional team of Product Managers, Customer Success Managers, Operations teams, Data Engineers, SW Developers, UI/UX Designers, and AI experts. Your insights will directly influence feature development and enhance the platform's usability, performance, and scalability.
Responsibilities
As a Senior Product Analyst specializing in Platform Analytics, you will be instrumental in advancing our platform's data-driven approach by focusing on:
Analyzing platform usage patterns and deriving actionable insights to optimize user engagement and satisfaction
Supporting the development of new features by monitoring early adoption, user interactions, and performance
Partnering with Product Managers to establish and track key feature KPIs, assessing impact, and recommending enhancements
Developing dashboards and reports that provide visibility into platform health, user behavior, and key usage trends for stakeholders
Collaborating with Customer Success and Product teams to understand and address user pain points, drive improvements and reduce churn
Continuously enhancing our analytics processes and data platforms to support agile and accurate insights for platform optimization

We are seeking an experienced sharp and dynamic analytical mind to join our Product Analytics team as a Strategic product analyst. This position is ideally suited for those who are naturally passionate about learning, gaining knowledge, and analyzing anything they do and see with experience in utilizing data to make a significant impact.
The role requires a combination of analytical, technical, problem-solving, communication, and project management skills, and it involves working closely with various stakeholders and customers - including Product Managers, Customer Success Managers, Operations teams, Data Engineers, UI/UX Designers, SW developers, and AI experts at all levels.
Responsibilities:
As a Strategic product analyst at Analytics group, you will play a critical role in expanding our data-driven vision by leading the analytical aspects of various products and services, focusing on:
Designing and reflecting products KPIs and performing trend analysis with key stakeholders
Conducting decision-support analysis for development and operations
Building customer-facing and value demonstration analytics products
Constantly improving our Analytics knowledge base and data platforms
The role is all about collaborating with stakeholders to craft their questions into tangible metrics and captivating visuals, empowering them to uncover insights and make informed decisions through the power of data. Plus, you get to dive deep into learning opportunities and document your discoveries, enriching our collective intelligence and fueling continuous improvement.

We are seeking a highly skilled and motivated Data Engineer & Analyst to join our dynamic team.
The ideal candidate will be a great team player that can lead and also be responsible for designing, developing, and maintaining robust data pipelines and analytical solutions to support our business objectives. This role requires a blend of engineering and analytical skills to ensure data integrity, optimize data workflows, and provide actionable insights. This role requires a deep understanding of financial data, system integration, and analytics to support strategic decision-making and regulatory compliance.
Your Day-to-Day
Design, develop, and maintain scalable data pipelines and ETL processes.
Collaborate with product, analysts, and other stakeholders to understand data
requirements and translate business needs into technical requirements.
Ensure data quality and integrity across various data sources.
Develop, maintain and own data models, schemas, and documentation.
Perform data analysis to identify trends, patterns, and insights.
Create and maintain dashboards and reports to support business decision-making.
Optimize database performance and troubleshoot issues.
Stay updated with the latest industry trends and best practices in data engineering and analytics.

We are looking for a Risk Analyst to help us build, design, and manage risk analytics & reporting for our existing portfolio of merchants across all operating countries. Youll be responsible for developing, publishing, and fine-tuning the analytics and reporting requirements for our Global business for the Risk team.
The role requires strong Data Analytics, Business Intelligence, and Visualization skills and the ability to explain complex situations and concepts through data-driven storytelling.
This role also has scope for building risk models for our existing portfolio of merchants to mitigate the existing financial risk. Modelers will be taking the responsibility of defining the problem statement, building the solution, and offering an optimal strategic approach to implement the solution within the existing ecosystem and showcase value addition.
The role will require coordination with teams within Risk and across and managing senior stakeholders within the Risk function. You will need to work with Risk team members to understand their analytics and reporting requirements and build the same. You will be a key member of the team working in a fast-paced environment on impactful assignments with the exposure to work directly with senior management across the company.
Key Responsibilities:
Own (Build and maintain) the Risk reporting area for the Global Risk team and publish reports aligning with the requirement timeline
Perform analysis throughout the entire customer lifecycle, including acquisition, portfolio management, and collections providing actionable MI on all aspects of portfolio performance
Provide support to the business by addressing inquiries and offering ad hoc insights into portfolio and strategies.
Develop and maintain the Risk models used to manage customer credit and fraud risk including exposure and default methodologies and associated behavioral measures.
Design, Development, and maintenance of analytical solutions related to risk.
Providing the business and other stakeholders with advice and support on model use, model impact, and model implementation
Supporting external engagement and internal governance in relation to risk models and model frameworks
Requirements
Were looking for someone with moderate experience (Minimum 2-3 years) of working in a financial services / bank or fintech company with exposure to solving risk-related problems equipped with analytical and relevant skill sets.

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 Need You! As a data-driven company, the insights of the Data Team are our eyes and ears. That’s why we’re looking for you, a highly motivated data analyst who’s excited about working in a Big Data environment. You’re intelligent and resourceful, and you pay strong attention to detail. While you’re here, you will:
Key Responsibilities
* Analyze business activity trends and flows daily to improve and optimize business KPIs.
* Lead end to end data project, design and implement new data models for additional kpi’s
* Develop and maintain financial models to support budget planning, forecasts and performance evaluations
* Develop and manage machine learning models to improve the accuracy of predictive analytics.
* Bring insights and provide recommendations to all departments: Product, Marketing, Customer Success, Finance, and Management.
* Developing reports, dashboards, KPIs, and SAAS metrics.
* Work closely with stakeholders, such as the CEO, FPNA, VP of finance, etc.

This is a unique opportunity to join an exciting early-stage startup experiencing hypergrowth in a white-hot segment of the cybersecurity space.
a fast-growing cybersecurity startup and the creator of the first comprehensive software supply chain security solution. As software supply chain attacks rise sharply, platform delivers complete visibility, security, and integrity across all stages of the software development lifecycle (SDLC), helping companies protect against high-profile threats.

Founded in 2019, backed by YL Ventures and Insight Partners and has received significant industry recognition, including Cyber Defense Magazine's Top Infosec Innovator (2023) and multiple other awards in recent years.

As a Data Engineer , you will play a pivotal role in shaping our evolving data culture. You will be responsible for collecting, organizing, and analyzing data to provide valuable insights that drive informed decision-making across the organization. This is a "one man show" position, meaning you will work independently to manage all aspects of data engineering, from data collection to analysis. This is an opportunity to join a dynamic team and contribute to the development of data-driven solutions that drive business growth and innovation. If you are passionate about data and thrive in a collaborative environment, we encourage you to apply.

Responsibilities
Collect and gather data from various sources, both internal and external.
Organize and clean datasets to ensure accuracy and reliability.
Utilize appropriate tools and software to analyze and visualize data effectively.
Collaborate with cross-functional teams to identify data needs and requirements.
Develop and implement data collection strategies to support business objectives.
Interpret data and provide insights to inform decision-making processes.
Create reports and presentations to communicate findings and recommendations.
Assist in the development of data-driven solutions to address business challenges.
Stay updated on industry trends and best practices in data analysis.

A SaaS B2B solution that tackles one of the biggest challenges in financial departments: the overflowing amount of data that, up until now, was managed by tons of Excel sheets. We take this scattered and unstructured data and consolidate it into a single source of truth enabling finance professionals to follow it, manage it, and create the ever-needed order within the realm of finances.
If you are excited about improving the way people work with technology and innovation? If so, you've found the perfect opportunity!

seeking an experienced senior product manager that will take a pivotal role in our collaboration, data visualization, and analytics initiatives. We're searching for someone with approximately 5 years of experience in driving impactful solutions that cater to the unique needs of finance teams in small and medium-sized businesses.

If you are passionate about solving customers problems and excel at collaborating closely with talented teams to deliver meaningful solutions, then this role is the perfect fit for you! Join us in transforming how finance teams work and helping businesses thrive.

What You'll Do
Own features and product development through a full life cycle (e.g., ideation, design, implementation, launch).
Engage with customers and our customer success teams to identify and prioritize our customers' problems and needs, gather feedback to iterate on existing products, and identify opportunities to drive solutions that best solve these problems while advancing our business goals.
Dive into data and conduct market research to identify trends and understand the competitive landscape to inform product development decisions.
Collaborate with cross-functional teams, including engineering, design, marketing, and sales, to drive successful product development and launches.
Create and maintain a comprehensive product roadmap, ensuring alignment with business stakeholders.
Create and maintain product documentation, including user guides and training materials.

CRM is an end-to-end business management platform tailored for business-specific needs.
makes it easy for the entire business to work together, from marketing to sales to customer service.

was built from the ground up by developers who knew in 2011 that there had to be a better way to improve customer relations and decided to develop software for every need to keep customers delighted.

We are going global after conquering the local market with more than 2,000 satisfied Israeli customers from various industries.

Are you up for the challenges?
We are seeking a Senior Business Data Analyst to join our team. You will analyze complex data sets to uncover business trends, insights, and opportunities that drive strategic decisions. A deep understanding of business drivers and the ability to maximize profitability while meeting KPIs is essential. You will work closely with cross-functional teams to deliver actionable insights that optimize performance.

As a Business Data Analyst in you will
Analyze large data sets from multiple business domains (sales, marketing, finance, customer service, etc.) to derive actionable insights.
Develop and implement reporting systems and dashboards to monitor business performance and KPIs.
Provide strategic recommendations based on data analysis to improve business outcomes.
Collaborate with business stakeholders, including senior leadership, to understand business needs and translate them into data-driven solutions.
Lead data-driven projects, ensuring data integrity and alignment with business goals.
Utilize advanced analytical techniques, including statistical analysis, forecasting, and predictive modeling.
Mentor junior analysts and assist in their professional development.
Continuously improve data analysis processes and tools for better efficiency and accuracy.