דרושים » תוכנה » Researcher Data Analyst

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.

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.

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.

We are looking for a highly analytical and detail-oriented Data Analyst to help us extract meaningful insights, refine our models, and improve customer experiences through data-driven decision-making.
Our Analytical Models team, part of the Product department, is at the core of our innovation. We design, refine, and enhance the analytical models that drive the intelligence behind our products. We work closely with product managers, data scientists and R&D teams to ensure our models are accurate, scalable, and aligned with business objectives.
Responsibilities
Analyze large-scale financial datasets to uncover trends, insights, and opportunities for model optimization.
Work closely with product managers and R&D to enhance the structure and logic of analytical models.
Monitor model quality by tracking accuracy, coverage, and overall performance, implementing improvements as needed.
Build dashboards and reports to visualize insights and present findings to both technical and non-technical stakeholders.
Collaborate in a dynamic, fast-paced environment, contributing innovative ideas to improve data-driven personalization.

We are seeking a highly analytical and detail-oriented Data Analyst Marketing (Online & Offline) to join our team. In this role, you will analyze marketing campaigns, digital events, and offline activations to provide insights that drive performance improvements. Your expertise in data interpretation will help refine marketing strategies, optimize spend, and enhance customer acquisition and retention.

Responsibilities:

Analyze marketing campaign performance across multiple channels, including email, social media, paid advertising, webinars, and events.
Develop and maintain dashboards and reports to track key performance indicators (KPIs) related to marketing campaigns and events.
Use statistical models and data visualization techniques to identify trends, patterns, and opportunities for optimization.
Collaborate with marketing teams to define campaign objectives, target audiences, and success metrics.
Conduct A/B testing and attribution analysis to evaluate campaign effectiveness and ROI.
Provide insights into customer behavior, segmentation, and engagement to enhance marketing strategies.
Work closely with the Data Engineering team on data acquisition and enrichment for our data warehouse.
Assist in forecasting and budgeting by providing data-driven recommendations.
Ensure data accuracy and integrity by managing data sources, cleansing datasets, and automating data processes.

Analyze and interpret marketing data, including customer behavior, campaign performance, and market trends, to identify insights and opportunities for business growth
Leverage multiple complex big data sets to identify patterns, trends, opportunities, and threats to our marketing operations
Monitor and report on key performance indicators (KPIs) to track the effectiveness of marketing campaigns and initiatives
Develop and maintain dashboards and reports to communicate insights and recommendations to senior leadership
Use advanced analytics, data mining, business intelligence, and statistical tools, combined with a strategic and industry point of view, to drive marketing growth
Continuously identify and implement improvements to marketing processes and systems to increase efficiency and effectiveness
Be a leader in the marketing analysis field in the company

As a Customer Success Business Analyst, you will serve as a bridge between business stakeholders and technology teams, helping to translate business needs into technical solutions and play a key role in helping leadership to make data-driven decisions. You will analyze processes, deep dive into our entire customer success domain (Upsells, Downsells, Uplift, Downlift and Churn), gather requirements, and contribute to the development of strategies and solutions that improve operational efficiency and drive business growth.
What will you do?
Collaborate with business stakeholders to understand their objectives and requirements.
Develop and maintain dashboards to monitor CS KPIs and performance (individual/department level).
Prepare executive summaries and presentations to communicate findings and recommendations to CS management
Assist in analyzing productivity, looking at measures like attainment, NDR, GDR, renewal rate and many more to help our CS team reach their goals
Analyze data to identify trends, patterns, and insights that can inform decision-making.
Create detailed documentation of business requirements, processes, and workflows.
Communicate insights effectively to stakeholders using data visualization tools.
Provide regular updates on project status and issue resolution.
Maintain effective communication with business stakeholders and project teams.
Collaborate with cross-functional teams to identify and implement process improvements.

We are looking for a Senior Data Analyst who will join our R&D team.
As a Data Analyst, you will have a significant opportunity for impact, driving the company to new heights. You will influence decision making processes throughout the user journey, be a partner to different teams, and drive strategic business decisions that shape the direction of the company.

What you will do:
Identify, analyze, and interpret trends or patterns in complex data sets to drive actionable insights.
Understanding business operations requirements and creating useful and planned solutions to address data needs.
Analyze large datasets and provide useful actionable recommendations to support the business operations goals.
Develop data processes and build data infrastructure for the relevant stakeholders.
Build and maintain reports, dashboards, and KPIs to monitor performance.
Translate business requirements to analytical logics, and create a clear visualization which "tells the story".

We are on a mission to find and resolve every legal violation, and We are looking for a Data Analyst to join our fast-growing team; to help us promote our data-for-justice revolution. We developed a platform that uses AI and Machine Learning to discover harmful legal violations, securing compensation for millions of victims.
If you are an highly motivated, organized, and process-oriented person, ready to put your skills to work. You are a team player, open-minded, and collaborative. You have an entrepreneurial spirit and can make things happen in a fast-paced startup environment.
Responsibilities
Identify, collect, and analyze data from diverse public and private sources.
Collaborate directly with our legal Intelligence team to understand their needs and provide data-driven insights.
Ensuring data accuracy and integrity.
Translate complex data into understandable, relevant insights for lawyers and other stakeholders.
Create and present clear, visually compelling reports to share findings with the team.
Stay updated with the latest legal tech and data analysis trends, ensuring our company remains at the cutting edge.

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.