דרושים » תוכנה » Data Analyst

A global sports technology hub that offers multiple solutions to dozens of millions of users worldwide. The company provides real-time results, updated stats, original content, aggregated information, customized news feeds, and more.
Our products are based on cutting-edge technologies that enable live updates and on-demand content libraries of the highest quality and scale.

seeking a Senior Data Analyst position to join the BI Team, with a passion for technology, to solve unique problems within our measurements. Our team solves many challenges in turning raw data into accurate signals and extracting insights to improve the products. Appropriate candidates have an understanding of multiple components across the big data stack: large-scale data analysis, data quality, statistics, and visualization. If you are the kind of researcher who's focused on results and a quick learner, this role is for you. This position is located in our Tel Aviv office.
Responsibilities
Function as the data authority in the Monetization domain - performing ad-hoc research and analysis on the company's rich data to support unique and strategic business questions.
Define, analyze, and monitor KPIs and OKR metrics to continually improve company products.
Analyze large, complex data sets to address strategic and operational business questions.
Build dashboards and visualizations to answer key questions for the company's in-house various teams, specifically for the Monetization Team.
Perform qualitative, quantitative, and statistical analysis.
True passion for understanding data and finding Insights.
Provide actionable recommendations and conclusions from data to shape features and future product road maps.

We are looking for an experienced and highly skilled Senior Data Analyst to join our team . The ideal candidate will have a strong analytical mindset, extensive experience in data analysis, and the ability to translate complex data into actionable insights. This role involves working closely with cross-functional teams to support strategic decision-making, improve business processes, and drive growth, with a focus on enhancing developer productivity and engineering metrics.

Join our team and make an impact through data-driven insights and take our reporting and research projects to the next level, creating new value
What You'll Do

Analyze large, complex datasets to identify trends, patterns, and opportunities.
Conduct in-depth research on industry trends and best practices to inform data strategies.
Develop, maintain, and deliver comprehensive reports to internal stakeholders and customers using data analysis and a variety of tools, including dashboards and visualizations, tailored to engineering performance metrics.
Generate actionable insights and identify opportunities for value creation across departments.
Offer data-driven recommendations to enhance engineering efficiency and improve team outcomes.
Act as a liaison between technical teams and business units to communicate findings effectively.
Stay updated on industry trends, tools, and technologies.

We are seeking a highly analytical and detail-oriented Data Analyst to join our data team. In this role, you will serve as a critical link between the Data team and the Finance department, as well as other key stakeholders. You will be focusing on financial data analysis, key company SAAS metrics, insight generation, and reporting in order to support key business decisions. The ideal candidate will possess strong financial acumen, data analysis skills, and the ability to work collaboratively across teams to ensure alignment on reporting, metrics, and financial strategy.
Key Responsibilities:
Conduct data analysis, identifying trends, and opportunities for improvement.
Collaborate closely with the BI development team to enhance and optimize data reporting tools, dashboards, and SaaS metrics.
Develop and maintain financial models to support budget forecasts, financial planning, and performance evaluations.
Support quarter-end and year-end closing processes by providing analytical insights and reporting on financial performance.
Assist in the preparation of reports and presentations that cover the companys main financial and SAAS metrics for leadership and key stakeholders.
Ensure data integrity and accuracy across all financial reports and dashboards.
Communicate complex data insights in a clear, actionable manner to non-technical finance and business teams.

Required Business/Data Analyst - Marketing
Job Description
Own the design of data models that transform raw data into actionable insights, and define their strategic use to inform decisions that fuel growth and optimize marketing strategies
Leverage technical skills to work with vast amounts of data, establish measurement frameworks, and analyze results to align activities with north star objectives and identify areas for growth
Conduct funnel and behavioral analyses, research key metrics, and extract actionable insights to enhance user journeys and uncover new opportunities
Collaborate with teams across Marketing to understand business needs, translate them into data solutions, and align efforts with strategic goals
Create and execute A/B tests, evaluate results with statistical rigor, and provide deeper insights from detailed analysis to inform ongoing optimization
Build automated tools, design dashboards, and empower stakeholders to track and understand key metrics, making data both accessible and actionable for strategic decision-making.

XM Cyber is a global leader in hybrid cloud security. XM Cyber brings a new approach that uses the attacker’s perspective to find and remediate critical attack paths across on-premises and multi-cloud networks. The XM Cyber platform enables companies to rapidly prioritize and respond to cyber risks affecting their business-sensitive systems. We are seeking a talented and motivated Senior BI Analyst to build our Tableau environment from the ground up. The ideal candidate will have strong analytical skills, a deep understanding of data visualization principles, and the expertise to transform data into actionable insights. You will play a single and critical role in designing, developing, and implementing Tableau dashboards and reports that facilitate data-driven decision-making within our organization. Responsibilities:
* Environment Setup: Establish and configure the Tableau environment, including server setup, user access, and security protocols.
* Data Integration: Collaborate with data engineering and IT teams to gather, clean, and integrate data from multiple sources (Salesforce, MongoDB, APIs) into Tableau.
* Dashboard Development: Design, create, and maintain interactive and user-friendly
* Tableau dashboards and reports that meet the needs of various stakeholders across the organization.
* Data Modeling: Develop and document data models and schemas to ensure efficient data retrieval and analysis.
* Business Requirements Gathering: Work closely with business users to understand their reporting needs and translate them into technical specifications.
* Performance Optimization: Monitor and optimize the performance of Tableau reports and dashboards, ensuring they meet performance standards and are scalable.
* Training and Support: Provide training and support to end-users, guiding them on how to utilize Tableau for self-service analytics.
* Documentation: Maintain comprehensive documentation of the Tableau environment, data sources, dashboards, and user training materials.
* Continuous Improvement: Stay updated on the latest Tableau features and best practices, and continuously seek opportunities to enhance and optimize the reporting capabilities.

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 an ever-evolving company, driven by our passion for video.
Weve grown from a small start-up to a thriving business,
and have been a part of the biggest global ad agency for ten years.
Our main priority is maintaining our fun and determined environment
and keeping our employees engaged in their work.
We need people that are as passionate about video and the ad tech industry.
If you are ambitious, hardworking, and motivated, we want to get to know you
We are looking for a detail-oriented and proactive Data Analyst who is passionate about transforming data into actionable insights. This role involves working closely with cross-functional teams to support data-driven decision-making in a fast-paced environment. Youll play a key role in shaping data strategy and delivering insights that impact global business decisions.
Key Responsibilities:
Collect, process, and analyze data from various sources to drive business performance.
Design and build interactive Power BI dashboards and reports.
Collaborate with business stakeholders to understand data needs and translate them into analytical solutions.
Identify trends, correlations, and insights to inform strategic decisions.
Maintained and optimized data models, reporting pipelines, and documentation.

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.

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.

We are an ever-evolving company, driven by our passion for video.
Weve grown from a small start-up to a thriving business,
and have been a part of the biggest global ad agency for ten years.
Our main priority is maintaining our fun and determined environment
and keeping our employees engaged in their work.
We need people that are as passionate about video and the ad tech industry
If you are ambitious, hardworking, and motivated, we want to get to know you
About the Position
We are looking for a detail-oriented and proactive Data Analyst who is passionate about transforming data into actionable insights.
This role involves working closely with cross-functional teams to support data-driven decision-making in a fast-paced environment.
Youll play a key role in shaping data strategy and delivering insights that impact global business decisions.
Key Responsibilities:
Collect, process, and analyze data from various sources to drive business performance.
Design and build interactive Power BI dashboards and reports.
Collaborate with business stakeholders to understand data needs and translate them into analytical solutions.
Identify trends, correlations, and insights to inform strategic decisions.
Maintained and optimized data models, reporting pipelines, and documentation.