דרושים » דאטה » data ANALYST

We are part of Personalization organization, a high-performing group that leverages expertise in machine learning, big data, distributed systems, and user experience design to deliver the most personalized shopping experiences for our customers.

About the team
Our vision is to deliver a personalized search and conversational shopping experiences for customers. We recognize that each customer is different, and strive to save customers valuable time by tailoring their search journey to their individual needs, interests, and preferences. Our goal involves identifying personalization opportunities to develop and optimize customer experiences, thereby improving the overall search and discovery process across.

In this leadership role, you will proactively seek to understand our business objectives and identify ways to use data to help our teams make informed business decisions. You will work closely with stakeholders from across the company to understand their business questions, translate those questions into requirements, and then build data-driven solutions to empower new understanding. You will collaborate cross-functionally with product, data engineering, software engineering and applied-science teams to answer key business questions. You will be an expert in how and why stakeholders use the data produced by our team. You will dive deep into existing and new data sources, creating unique and actionable insights that improve our understanding and trends, while also identifying new opportunities to improve how our customers interact with our CXs.

You will be hands-on in data analysis and and an expert in A/B testing, using your insights to inform decisions and provide high quality communication to senior leadership.

Key job responsibilities
* Work with our internal and external partners translating business questions into an analytical framework that can be answered with existing data using BI tools and producing the required data if it is not immediately available.
Demonstrating curiosity about business questions and an ability to reason with data, leveraging your knowledge of the wider product and business landscape to explain trends in data and the relationships between different data elements, and to suggest, prioritize, and explore paths for further analysis.
Build efficient, scalable data solutions (ETLs, queries, reports, dashboards and analyses) that accurately address the business questions at hand.
Produce meaningful, timely, and actionable deep dives to inform Personalization business decisions.
Ensuring data and code quality through all stages of data acquisition, processing, and delivery.
Collaborate effectively with colleagues who are experts in a range of disciplines, including business, science, and engineering.
Lead projects or components from start to finish including project management, data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations.

youre into online shopping (who isnt these days?), chances are youve crossed paths. Were all about eCommerce retentionhelping brands of every size turn one-time shoppers into lifelong customers.
Think loyalty programs, SMS and email marketing, subscriptions, and reviewsits what we do best. Plus, weve got more tricks up our sleeve.
With teams spread across the globefrom the US and Canada to the UK, Israel, Bulgaria, and Australiawere growing fast. Our main mission? Delivering cutting-edge technology that sets new standards in the industry.
Sounds exciting? Then read on, because were looking for curious professional talents to be a part of building the future of the e-commerce industry.

Were looking for a Business Analyst Team Lead (hands-on) to join our BI Finance Team and take ownership of BI initiatives within the finance domain. In this role, you will strategically design and implement advanced financial data models, oversee key data projects, and mentor analysts to drive in-depth analysis, improve financial operations, and generate actionable insights.
This is a senior role that requires a blend of strategic thinking, hands-on analysis, and cross-functional collaboration with business stakeholders.
You will work closely with finance leaders, product & GTM stakeholders, and executive management to define and execute the analytics strategy that supports key business goals.

How youll make an impact:
Leading the data team of the Finance group. Mentor and guide analysts, ensuring best practices are followed across the BI Finance team.
Define, measure, and continuously refine key performance indicators (KPIs) to align with business objectives.
Lead end-to-end financial data projects, including scoping, planning, and execution, ensuring delivery of high-impact results.
Detect and deliver key insights across products and business units to support data-driven decision-making at all levels of the organization.
Oversee the development of reports, dashboards, and metrics, ensuring data integrity, accuracy, and scalability.
Act as a trusted advisor to finance and cross-functional teams, bridging the gap between data capabilities and business needs.
Collaborate with senior management, strategy & finance teams, product managers, and R&D to build a robust analytics infrastructure and foster a data-driven culture.

We are looking for a passionate and experienced team lead to join our Product data Analysts team.
We are seeking a dynamic and skilled team lead for our Product data Analysts team. This individual will play a crucial role in driving the team's success in designing feature KPIs, developing measurement strategies, analyzing data, and providing actionable insights. The ideal candidate will have a strong background in data preparation and analysis, a passion for mentoring, and the ability to collaborate effectively with cross-functional teams.
Key Responsibilities:
Leadership and Mentorship:
Mentor and develop the Product data Analysts team, fostering a culture of continuous improvement and professional growth
Provide guidance and support to team members, helping them achieve their individual and team goals

Strategy and Infrastructure Management:
Oversee the infrastructure of data, ensuring that data collection, Storage, and analysis processes are efficient and scalable
Implement work frames for planning analytical projects and the data preparation process from raw data to gold tables

data Analysis:
Design and implement feature KPIs and measurement strategies in collaboration with Product Managers
Lead the development and execution of A/B testing strategies and infrastructure
Analyze data to draw meaningful insights and impact decision-making on feature priorities and benefits

Collaboration and Communication:
Engage with parallel data teams and partners to ensure alignment and collaboration on data initiatives
Prepare monthly reports and lead insights meetings to communicate findings and recommendations to stakeholders

Were looking for a sharp Product Data Analyst whos infinitely curious when it comes to leveraging data to solve product and business problems.
Youll be a part of the Analytics team and will spend your day-to-day tackling analytical questions and monitoring metrics. In order to succeed, youll need to demonstrate strong capabilities at modeling complex data, uncovering patterns, and delivering data-driven insights.
In this role youll:
Collaborate with members of the Analytics, Product, and Data teams to improve business decisions using data
Conduct A/B testing on our flow and processes in order to build state-of-the-art products
Initiate analyses and generate reports to assist with feature tracking, experiments, and product/platform health monitoring
Extract and analyze data using different data platforms (Snowflake, Python, etc.)
Present key findings to stakeholders across the company in order to drive business and product decisions
Explore new and unmapped data domains that can push our product forward.

DealHub offers a cutting-edge quote-to-revenue solution designed to streamline sales processes, accelerate deal cycles, and deliver predictable revenue for mid-market and enterprise businesses. Our intelligent platform empowers organizations to connect their teams, simplify workflows, and close deals with efficiency and precision.
We are looking for a dynamic and results-driven Business Analyst with proven expertise in analyzing and optimizing business processes, systems, and operations to deliver impactful, data-driven solutions. Key Responsibilities
* Collaborate with business stakeholders to identify business needs, gather requirements, and define project objectives.
* Create reports and dashboards to track KPIs and business metrics
* Conduct data analysis to derive insights, track performance, and support decision-making.
* Analyze and document current business processes, workflows, and systems to identify opportunities for improvement.
* Provide recommendations for process improvements, cost optimization, and risk mitigation.
* Facilitate presentations to communicate findings and progress with stakeholders at all levels.
* Stay up-to-date with industry trends and best practices to continually improve business analysis methodologies.

If youre into online shopping (who isnt these days?), chances are youve crossed paths. Were all about eCommerce retentionhelping brands of every size turn one-time shoppers into lifelong customers.
Think loyalty programs, SMS and email marketing, subscriptions, and reviewsits what we do best. Plus, weve got more tricks up our sleeve.
With teams spread across the globefrom the US and Canada to the UK, Israel, Bulgaria, and Australiawere growing fast. Our main mission? Delivering cutting-edge technology that sets new standards in the industry.

Sounds exciting? Then read on, because were looking for curious professional talents to be a part of building the future of the e-commerce industry.

Now, lets talk about you. Are you a talented and experienced Data Engineer? If so, we want you to be part of our dynamic Data Engineering Team, a part of the R&D, contributing to our vision and making a difference in the eCommerce landscape. Join us on this journey as we seek the best and brightest minds to drive our mission forward.

In this role, you can expect
Lead and oversee a team of Data Engineers to deliver high-quality data solutions
Mentor team members, fostering skill development and professional growth
Developing, implementing and supporting robust, scalable solutions to improve business analysis capabilities
Managing data pipelines from multiple sources, including designing, implementing, and maintaining
Translating business priorities into data models by working with business analysts and product analysts
Collaborate across the business with various stakeholders, such as data developers, systems analysts, data scientists and software engineers
Owning the entire data development process, including business knowledge, methodology, quality assurance, and maintenance

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.

We are seeking a Data Analyst with 3-5 years of experience to join our Marketing team and play a key role in leveraging data to drive business decisions. The ideal candidate is passionate about working in a dynamic startup environment, skilled at analyzing complex datasets, and eager to deliver actionable insights that impact our growth.
A financial planning and analysis platform that automates financial reporting and planning while enabling finance teams to continue using Excel's familiar spreadsheets and financial models.
What You'll Do
Design, build, and maintain the Marketing data warehouse to ensure scalable and efficient storage of business-critical data.
Design, implement, and optimize ETL processes to extract, transform, and load data from various sources into data warehouses or reporting systems.
Analyze large datasets to uncover trends, insights, and actionable recommendations to support business objectives.
Develop and maintain dashboards, reports, and visualizations to provide stakeholders with real-time data access.
Partner with the Marketing team to understand their needs and deliver data solutions tailored to their goals.
Assist in defining and tracking KPIs.
Maintain and enhance the integrity, accuracy, and quality of data.
Identify gaps in data collection and implement strategies to improve data quality and availability.
Use statistical techniques and machine learning models to forecast trends, measure campaign performance, and support strategic planning.
Conduct A/B tests and other experiments to evaluate potential improvements.
Translate analysis into clear, actionable insights to improve product performance, optimize marketing campaigns, and drive customer success initiatives.

Were looking for a sharp Senior Product Data Analyst whos infinitely curious when it comes to leveraging data to solve product and business problems.
Youll be a part of the Analytics team and will spend your day-to-day tackling analytical questions and monitoring metrics. In order to succeed, youll need to demonstrate strong capabilities at modeling complex data, uncovering patterns, and delivering data-driven insights.
In this role youll:
Collaborate with members of the Analytics, Product, and Data teams to improve business decisions using data
Conduct A/B testing on our flow and processes in order to build state-of-the-art products
Initiate analyses and generate reports to assist with feature tracking, experiments, and product/platform health monitoring
Extract and analyze data using different data platforms (Snowflake, Python, etc.)
Present key findings to stakeholders across the company in order to drive business and product decisions
Explore new and unmapped data domains that can push our product forward.

If youre into online shopping (who isnt these days?), chances are youve crossed paths. Were all about eCommerce retentionhelping brands of every size turn one-time shoppers into lifelong customers.
Think loyalty programs, SMS and email marketing, subscriptions, and reviewsits what we do best. Plus, weve got more tricks up our sleeve.
With teams spread across the globefrom the US and Canada to the UK, Israel, Bulgaria, and Australiawere growing fast. Our main mission? Delivering cutting-edge technology that sets new standards in the industry.

Sounds exciting? Then read on, because were looking for curious professional talents to be a part of building the future of the e-commerce industry.

Now, lets talk about you. Are you a talented and experienced Data Engineer Team Lead? If so, we want you to be part of our dynamic Business Intelligence Team, a part of the R&D, contributing to our vision and making a difference in the eCommerce landscape. Join us on this journey as we seek the best and brightest minds to drive our mission forward.

In this role, you can expect
Lead and oversee a team of Data Engineers to deliver high-quality data solutions
Mentor team members, fostering skill development and professional growth
Developing, implementing and supporting robust, scalable solutions to improve business analysis capabilities
Managing data pipelines from multiple sources, including designing, implementing, and maintaining
Translating business priorities into data models by working with business analysts and product analysts
Collaborate across the business with various stakeholders, such as data developers, systems analysts, data scientists and software engineers
Owning the entire data development process, including business knowledge, methodology, quality assurance, and maintenance