We are looking for an experienced BI Data Engineer to develop systems that make Bigabids vast amount of data more accessible and efficient throughout the organization. This is a perfect opportunity if youre passionate about data and have strong analytical and technical skills.

You will be developing innovative and creative ways to deliver data and information in this fast-growing, exciting industry while working closely with our data analysts, product managers, software engineering teams, and management.
we are a fantastic place to work. We reward talent. Our employees support each other to advance individually and as a team. Most of all, we exceed our clients expectations while still having fun.
Responsibilities:
Design, manage, and maintain analytics products and BI solutions for internal and external customers
Develop ETL processes using different tools (Airflow, Python)
Design and develop data visualization (Tableau)
Work with a variety of relational and non-relational databases (Trino, Presto, Firebolt, RDBMS and others)
Find technological solutions for high-scale analytics
Own knowledge of all data in the company

We are looking for a Product Data Analyst who can see beyond the numbers, leveraging data to inform, influence, support, and execute strategic product decisions. You will play a crucial role in guiding the direction of our products, ensuring that data-driven insights are at the forefront of our decision-making process. Your ability to translate complex data into actionable recommendations will be key in shaping our product strategies and driving business growth.



You will collaborate with an Agile-Scrum cross-functional team consisting of talented individuals from multiple disciplines, including Product, Backend, Mobile, Web, Quality Engineering, Design, and more. Together, you will work on delivering the company roadmap, initiatives, and projects, all aimed at creating great products that drive value for our traders.



As a Product Data Analyst, you will:

Play a crucial role in product decisions by identifying areas for improvement and recommending growth opportunities.
Be the domain expert and the analytical focal point.
Build and maintain reports, dashboards, and metrics to monitor performance.
Analyse business performance and decisions, identify patterns and trends, and define and develop KPIs and other measurement tools.
Establish strong communication channels and build excellent working relationships with diverse stakeholders like Product, Marketing, Data, and R&D teams.
Provide stakeholders with actionable recommendations, insights, and conclusions.
Collaborate closely with stakeholders to create and enhance personalized user journeys, improve user segmentation, and boost conversion rates.
Dig into users' flows to understand their behavior and journey, and find places we can improve the flow for better conversion.
Design and execute A/B experiments and KPIs, gaining a deep understanding of your domain through both quantitative and qualitative analyses.

We are seeking a passionate and hands-on BI\Data Engineering Manager to join our Data Department.
The BI\ Data Engineering Manager will be responsible for leading a team of BI developers\Data Engineers to deliver high-quality BI solutions that drive business insights and support strategic decision-making.
The ideal candidate will possess strong leadership skills, technical expertise in BI tools and technologies, and a proven track record of successfully managing BI projects.
Responsibilities - What youll be doing?
Lead and mentor a team of data engineers, fostering a collaborative and innovative environment.
Architect, own, and manage our data warehouse, ensuring data quality, integrity, and efficiency.
Develop and initiate advanced ETL process and data models and maintain existing ones
Collaborate with stakeholders across departments to gather requirements, define data strategies, and deliver clear timelines.
Implement best practices for data integration, transformation, modeling and storage.

Our company is a global advertising technology company delivering solutions to the biggest brands and publishers around the globe across search, social media and display, video and CTV.
Home to an award-winning technology solution with our unique data-driven AI/ML based technologies, we deliver and optimize hundreds of terabytes of data and billions of events per day.
Were working with dozens of sources to provide a superior experience across screens and platforms, including mobile, video, social and native.
Our FP&A team is growing, and we are looking for a Business Analyst to join us!
You will play a pivotal role in transforming raw business data into actionable insights.
Working closely with FP&A and data professionals, this role ensures stakeholders have continuous access to reliable data, empowering informed decision-making across the organization.
What will you do?
- Lead the testing and validation of the company data warehouse to ensure accuracy and reliability.
- Develop and maintain reports, dashboards, KPIs, and other analytical tools to provide stakeholders with actionable insights.
- Collaborate with cross-functional teams to identify opportunities for leveraging data to drive business insights and decision-making.
- Analyze complex data sets to derive meaningful insights and identify opportunities for improvement and optimization, using strong analytical and problem-solving skills.
- Orchestrate and lead the companys presentations used by senior leadership and the Board of Directors.
- See beyond numbers and take part in informing, influencing, supporting, and executing companys business decisions.
- Stay updated on industry trends and best practices in business intelligence and analytics.
- Utilize advanced SQL skills to extract, manipulate, and analyze data from various sources.
- Develop and maintain Tableau dashboards to visualize key metrics and insights.

We are looking for a Strategic Data Analyst.
The Data Analyst position:
Analyze BIG data and turns it into information that can offer ways to improve a business product, thus affecting company decisions.
Gather information from various sources and interpret patterns and trends.
Evaluate the strategic path of new data projects, and work with the technical and business management in analyzing new initiatives to support the company's growth.
Answer business questions by mapping, tracing, analyzing, and visualizing data.
Support business/product users by identifying and mapping complex and new data sources.
Identify any data quality issues in data acquisition.
Coordinate the gathering of new data points or create new frameworks for analysis with data engineers and BI developers.

We are looking for an Analysis Team Leader in the AI and Data Department.
As the Analysis Team Leader, you will be responsible for leading a team of data analysts, ensuring that their work provides actionable insights that drive strategic decision-making across the organization. Your role will involve overseeing the analysis of large datasets, developing data-driven strategies, and ensuring that the insights generated by your team are aligned with the company’s business objectives. You will collaborate closely with cross-functional teams, including data scientists, data engineers, product managers, R&D teams, and business leaders, to ensure that analytical insights are effectively integrated into product development, operations, and strategic initiatives. ? Lead, mentor, and develop a team of data analysts, providing technical, methodological, and business guidance, training, and support to ensure high-quality output and professional growth. ? Oversee the team’s workflow, ensuring that analytical projects are delivered on time, within scope, and aligned with business objectives. ? Lead the maintenance of structured and standardized work methodologies in the field of data analytics, ensuring consistency and enhancing data-driven business decision-making. ? Oversee the analysis of complex datasets to extract actionable insights that drive business growth. ? Initiate, develop and implement data-driven strategies that support product development, customer service enhancement, operational efficiency, and customer retention. ? Work closely with business leaders, product managers, and other stakeholders to understand their analytical needs and ensure that insights are aligned with business goals. ? Translate complex analytical findings into clear, actionable recommendations that can be easily understood and implemented by non-technical stakeholders. ? Collaborate with cross-functional teams to integrate data insights into business processes, product development, and strategic decision-making.

העסקה ישירה על ידי הלקוח- עובד/ת חברה מהיום הראשון משרה היברידית We’re looking for a full-time Senior Business Analyst to join our Data team . As a senior business analyst you will have the ability to look at the company's data from a bird's eye point of view, and at the same time get your hands dirty with data and drill down analysis. Your main responsibility will be to provide meaningful insights on the on-going performance of the company's KPIs and play a significant role in making a data-driven impact on the company's success in reaching its business targets Owning the business performance analysis and data visibility of all the metrics and KPIs, such as retention, conversion, MRR, etc. Developing and implementing a repeatable process for monitoring and reporting our business performance across all activities. Synthesizing business performance trends and proactively Identifying opportunities for performance improvement. Working closely with the management team and stakeholders to collect feedback and define requirements on a continuous basis

We are looking for a Product-Oriented Data Analyst to join our team and lead data-driven decisions for our B2C products.
we are a real estate platform revolutionizing the way people buy and rent new homes, by empowering them with knowledge. As a leading marketplace and a valuable tool for agents, we provides useful information, using big data algorithms and artificial intelligence. Founded in Tel Aviv/
facilitates the purchase of real estate with greater transparency.
The Data team builds and maintains databases, data flow, and dashboards that empower our unique data platform, and it allows us to continuously enhance our product offering.
As a Data Analyst on the team, you'll use analytical skills and sound judgment to expand our knowledge of every user in the system; use team resources to plan, execute, and measure different initiatives to improve our business outcomes; and develop subject matter expertise needed to become a thought leader within the company regarding knowledge domains under your responsibility.
On a given day you will:
Dig into users' flows to understand their behavior and journey, and find places we can improve the flow for better conversion;
Collaborate with R&D, Product, Marketing, and Customer Success team leaders to profile their data needs, create relevant reporting flows, identify improvement opportunities, support execution - and lead the retrospective data analysis;
Formulate a data-driven hypothesis, query multiple datasets to test it, and develop a spec doc for solving complex, unstructured data or product questions;
Initiate and participate in A/B test analysis to improve the Product flows.
Create and maintain dashboards to track key metrics and product performance.

We are looking for a sharp and passionate Data Analyst to join our top-notch data analytics team.
In your role youll be responsible for developing, publishing, and fine-tuning the analytics and reporting requirements for the Global Risk team.
This role also has scope for developing risk models for our existing portfolio of merchants to mitigate the existing financial risk.
Youll 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
Analyze customer lifecycle stages including acquisition, portfolio management, and collections, providing actionable insights on portfolio performance
Develop and maintain the risk models used to manage customer credit and fraud risk , including exposure and default methodologies, and associated behavioral measures
Create Looker dashboards and reports to visualize key metrics, trends, and performance indicators
Advise business and stakeholders on model usage, impact, and implementation
Support business operations by resolving inquiries and providing ad-hoc insights into portfolio strategies
Design, development, and maintenance of analytical solutions related to our risk

We are seeking a highly skilled and experienced Data/ML Team Leader to lead our data science and machine learning team. In this role, you will drive the development of advanced data models, machine learning algorithms, and AI solutions that support our business objectives. You will be responsible for mentoring a team of data scientists, machine learning engineers, and data analysts, guiding them through the entire lifecycle of data-driven projects, from data collection and preprocessing to model deployment and optimization.

If you share our love of sports and tech, you've got the passion and will to better the sports-tech and data industries - join the team!

Responsibilities:

Team Leadership: Lead and mentor a team of data scientists, ML engineers, and data analysts, fostering a culture of collaboration, innovation, and continuous improvement.
Project Management: Oversee the planning, execution, and delivery of data science and machine learning projects, ensuring alignment with business goals and timelines.
Model Development: Guide the team in developing, testing, and deploying predictive models, machine learning algorithms, and AI solutions.
Data Strategy: Collaborate with stakeholders to define data strategies, identify opportunities for leveraging data to drive business solutions, and ensure the quality and availability of data for analysis.
Technical Expertise: Stay up-to-date with the latest advancements in data science, machine learning, and AI, and apply this knowledge to enhance the teams technical capabilities.
Cross-functional Collaboration: Work closely with other departments, including Engineering, Product, and Marketing, to ensure the integration of ML models into business processes and products.
Performance Monitoring: Establish key performance indicators (KPIs) for model accuracy, efficiency, and scalability, and implement strategies for continuous improvement.
Resource Management: Manage team resources, including tools, software, and data infrastructure, to optimize productivity and performance.
Reporting: Provide regular updates to senior management on the status of projects, team performance, and insights derived from data analysis.