דרושים » מערכות מידע » Senior BI Developer

We are seeking a talented BI Developer to join our team. The ideal candidate will have a strong background in business intelligence, data analysis, and database management, with a passion for gaming. The BI Developer will play a key role in designing, developing, and maintaining our data infrastructure, as well as providing insights and analytics to support data-driven decision-making across the organization.
Responsibilities
Design, develop, and maintain data pipelines and ETL processes to extract, transform, and load data from various sources into our data warehouse.
Work closely with cross-functional teams to understand business requirements and translate them into technical solutions.
Develop and maintain dashboards, reports, and visualizations to provide insights into key business metrics and performance indicators.
Perform data analysis to identify trends, patterns, and opportunities for optimization and improvement.
Optimize and tune SQL queries and database performance to ensure efficient and reliable access to data.
Collaborate with data engineers and other stakeholders to continuously improve data quality, accuracy, and reliability.
Stay up-to-date with industry trends and best practices in business intelligence, data analytics, and gaming technology.

We are 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 365Scores 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.

Were looking for a Data Engineer to join our data warehouse team and play a pivotal role in driving data solutions that empower data science, GTM, finance, analytics and R&D teams.

If youre passionate about exploring and exposing product and business data to stakeholders across and beyond, wed love to hear from you.



What youll do:

Lead the design and development of scalable and efficient data warehouse and BI solutions that align with organizational goals and requirements.
Utilize advanced data modeling techniques to create robust data structures supporting reporting and analytics needs.
Implement ETL/ELT processes to assist in the extraction, transformation, and loading of data from various sources into a shared data warehouse.
Identify and address performance bottlenecks within our data warehouse, optimize queries and processes, and enhance data retrieval efficiency.
Collaborate with cross-functional teams (product, finance, analytics, and R&D) to deliver actionable data solutions tailored to their needs.

We are looking for a seasoned BI Team Lead to oversee the development and scaling of our Business Intelligence function, with a strong emphasis on data warehouse architecture, modeling, and administration, alongside broader data engineering responsibilities. This role is perfect for someone who thrives in complex data environments and wants to shape the foundation for data-driven decision-making across the organization.

Responsibilities:

Lead and Scale the BI Team: Build, manage, and mentor a high-performing BI and Data Engineering team. Oversee hiring, onboarding, and career growth of team members.
Own the BI & Data Warehouse Strategy: Define and execute the BI and DWH architecture roadmap, aligned with business and technical needs.
Data Modeling & Governance: Design and implement scalable, high-performance data models and ensure data governance and best practices across the warehouse.
Manage Data Warehouse Infrastructure: Oversee the administration of modern DWH platforms (e.g., ClickHouse, Trino, Druid), optimizing for scalability, performance, and cost-efficiency.
Deliver Robust Data Pipelines: Design and maintain reliable ETL/ELT pipelines using Airflow, Python, JavaScript, Jenkins, and Upsolver to ingest and transform raw data into analytical-ready structures.
Build BI Products: Drive the development of dashboards, reports, and self-service analytics using Tableau, Imply, or equivalent visualization tools.
Collaborate Across Teams: Act as a strategic partner to Data Engineering, Product, and Business teams to gather requirements, prioritize efforts, and deliver BI solutions that drive value.

We are located in the heart of Tel Aviv, just a short walk from the Hashalom train station. Our open-space offices can accommodate our 100+ employees and when we are not hard at work, you can find us relaxing with a cup of coffee on the balcony or surfing the TLV beaches. Workiz understands that you have a life outside of the office, so we have a flexible work week that allows you to work 3 days from the office and two days from home, but you won't want to miss happy hour!

So, what will you be doing all day?
Lead end-to-end BI initiatives from architecture and modeling to implementation and optimization.
Own and manage our ETL pipelines using Airflow and Python to load data into our data warehouse.
Apply transformation logic with dbt to structure and align data with business and compliance requirements.
Collaborate with cross-functional teams to define data requirements and build scalable business data models that support both internal operations and customer-facing use cases.
Develop dashboards, reports, and alerting mechanisms using tools like Looker and Tableau to support data-driven decisions.
Ensure data quality and accuracy through rigorous testing, monitoring, and governance frameworks.
Work closely with stakeholders in a fast-growing environment to prioritize and deliver impactful insights.

Required Senior Data Analyst
We are all about impact - How often do you get the chance to affect the life of others, across the globe?
Our vision is to let everyone enjoy financial freedom, regardless of their banking status, credit score, or other obsolete metrics.
As a global fintech specializing in secure, real-time cross-border payments we simplify international transactions for businesses by providing a seamless and efficient payment experience. Our platform leverages advanced API solutions to enable real-time currency rates, introduce new payment methods, and deliver a local-like payment experience for cross-border transactions.
Our focus on innovation enables us to deliver true financial inclusion for both individuals and businesses around the globe.
What Youll Do:
As a Data Analyst, you will play a pivotal role in shaping Sales strategy, Growth effectiveness, and operational decisions by transforming data into insights and actions.
Core Responsibilities
Define, track, and analyze KPIs and OKRs to improve product performance and user experience.
Conduct deep-dive analyses to inform strategic initiatives and solve complex business problems.
Designed and built interactive dashboards, reports, and visualizations for diverse teams using Tableau.
Collaborate with Product, Growth, Marketing, Finance, and Engineering teams to drive business outcomes.
Lead end-to-end analytical initiatives: from data collection and modeling to insight delivery and follow-through.
Conduct user funnel analysis, monetization deep-dives, cohort tracking, and retention modeling.
Run and evaluate A/B tests to support data-driven product and marketing decisions.
Define event tracking plans for user interactions (Mixpanel).
Partner with Data Engineers to ensure scalable and clean data models in Snowflake or similar DWHs.
Uphold data integrity through validation, anomaly detection, and quality control measures.

Realize your potential by joining the leading performance-driven advertising company!
We are looking for a Senior Data Analyst to join our companys Professional Services group. As a data-driven organization, we strive for absolute transparency around our deliverables, empowering relevant teams to make informed decisions and become more productive and efficient.
How youll make an impact:
Analyze, discover, monitor and provide insights on major revenue impact issues to ensure our company Network performance and high quality.
Create, support and maintain development tools aiming to monitor and investigate our company performance, as well as find creative solutions for a variety of challenges, while facing our growing data requirements
Own and manage multiple data initiatives and projects both on an on-going and an ad-hoc basis, while using new approaches of data analytics
Analyze business data, discover root causes for data anomalies and generate actionable recommendations
Closely work with multi-disciplinary teams and stakeholders to provide insights and answer business questions.

Required Senior Fraud Data Analyst
Description
Come [legally] hack with us the data on the largest exchange thats running our world. Not NASDAQ; the one with way more events - the Global Ads Exchanges, where millions of ads are born and clicked every second. Step behind the curtain of algorithms and competitors that move $1T of annual budgets. Plunge into a world of ISP-volumes of traffic, sub-second predictions, and TBs of live, real-world data. Use cutting-edge analysis, ML, engineering, or just plain hacker-like thinking to out-perform the market.
A Data-Science startup, leveraging data analysis, ML, engineering, and multi-disciplinary thinking to gain a market edge and exploit hidden opportunities in real-time advertising. Processing over 1,000,000 requests per second and serving over 20B sub-second predictions daily, we build and operate Machine Learning algorithms running on the worlds largest Real-time-bidding (RTB) Ad-Exchanges.
Join the Data Battle Against Ad Fraud
Dive into the fast-paced, high-stakes world of real-time advertising, where fraudsters are constantly inventing new ways to game the systemand were here to stop them. This isnt about catching yesterdays fraud. Its about building systems that predict, detect, and outsmart malicious behavior as it happens, across billions of data points and signals.
At our company, fraud isnt just a problemits a puzzle. Were looking for a sharp, curious, and experienced Senior Fraud Data Analyst to take a leading role in uncovering abuse, analyzing behavioral anomalies, and developing data-driven strategies to stay one step ahead. If you love connecting the dots in messy data, challenging assumptions, and working with others to build smarter defensesthis role is for you.
What Youll Do
Analyze & Interpret Data: Use SQL and Python to query large datasets, detect anomalies, conduct root cause analysis, and uncover fraud patterns while also providing prescriptive insights to optimize business performance.
Drive Business Insights: Identify trends in ad performance, diagnose inefficiencies, and provide data-driven recommendations that impact KPIs and company strategy.
Combat Fraud in Real Time: Identify fraudulent trends, investigate suspicious traffic patterns, and take action to mitigate risk.
Develop & Improve Detection Models: Work with data engineers and data scientists to refine fraud detection and optimize real-time prevention strategies.
Collaborate Across Teams: Partner with business stakeholders to strengthen fraud defenses across our platforms.
Stay Ahead of Fraudsters: Keep up with evolving fraud tactics and propose proactive solutions to prevent emerging threats.

We are on the search for a Senior Marketing Data Analyst who will join our Data team in Tel Aviv. As a Senior Marketing Data Analyst in a Data-Driven company, you will have a significant opportunity for impact and drive the company to new heights. You will influence decision making processes throughout the user journey, be a partner to different teams within the marketing & Top of funnel landscape, and drive strategic business decisions that shape the direction of the company.

Here are a few of the things you will do:

Create and improve new and existing business processes, data pipelines, and workflows
Analyze, process and present different parts of the customer journey flows
Master of our data infrastructure, serving as the primary troubleshooter for data queries from critical business partners.
Perform ad hoc analysis with precision, delivering results that drive strategic decisions.
Brainstorm and execute AB testing ideas, furthering our understanding of user behaviors and market trends.
Utilize advanced statistical methodologies to conduct in-depth analyses and tests.
Play a pivotal role in the Data Guild, contributing your unique insights and expertise.
Engage with various stakeholders, fostering a productive environment of data-driven decisions.
Be a key collaborator with diverse marketing teams, including Paid Marketing, Social Media, Content, Lifecycle, Partnerships and more.
Transmute raw data into actionable insights that fuel decision-making processes.
Deliver persuasive presentations to stakeholders, translating data-driven suggestions into reality.
Act as the primary data authority for each initiative you engage in, ensuring data accuracy and relevancy.
Drive cross-functional initiatives, uniting data and business objectives to promote organizational success.

We are in search of a detail-oriented and analytical Senior Business Analyst to join our growth team. The successful candidate will have a minimum of 5 years of dedicated experience in data analysis, a self-learner with a strong drive to excel, and a proven track record of turning data into actionable insights.
What You'll Do:
Work closely with the various teams to provide insights and analytics to support business decision making
Design, build and monitor funnels and AB tests at scale to optimize performance
Analyze data to identify trends/insights that may influence the product decisions
Support and advise the business with ad-hoc analytics, as well as apply statistical techniques to create insights and discover new business opportunities
Enable and support the business regarding the development and use of data analysis and reporting by building reporting-grade data sources in our BI environment and translating those data sources into meaningful dashboards and reports for easy business use
Provide business expertise and guidance (consultative partnership) on how to apply leverage data analytics and reporting within the organizations
Conduct research on the data to address some of the business questions
Create and deliver documentation and training on reporting and BI tools for business users to enable self-service on company data.