We are looking for a talented and experienced BI Engineer to join our dynamic team. As a BI Engineer, you will take a major part in defining and building the core business models, playing a key role in transforming raw data into valuable insights, and enabling informed business decisions.
WHY YOU SHOULD JOIN OUR TEAM:
Our team's mission is to be the source of actionable strategic intelligence for us. The team partners with business leaders and users to add value through data, make data-informed decisions, discover insights, and share knowledge. Our company and product are focused on serving you. Being on the data team means you get early access to cutting-edge technology & are a north star for the data teams.
Responsibilities:
Data Modeling:
Develop and maintain scalable and efficient data models using dbt (data build tool) and other ETL tools.
Design and implement logical and physical data models that align with business requirements and industry best practices.
SQL Expertise:
Write and optimize complex SQL queries to extract, transform, and load (ETL) data.
To support business objectives, perform data analysis to identify trends, patterns, and anomalies.
dbt and Snowflake Implementation:
Utilize dbt to build, test, and deploy data transformations in a version-controlled environment.
Work extensively with Snowflake, leveraging its features for efficient data storage, processing, and querying.
Data Governance:
Establish and enforce data governance policies, ensuring data accuracy, consistency, and security.
Document data models, transformations, and processes for knowledge sharing and team collaboration.
Collaboration:
Work closely with business stakeholders to understand their data needs and provide actionable insights.
Collaborate with data engineers, analysts, and other team members to ensure seamless integration of data solutions.

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; we’re 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 bi-developer 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:
Responsibilities ? Gather requirements, design, develop, test, implement, and support robust and scalable end-to-end BI solutions to improve business analysis capabilities. ? Translate business needs into data models by collaborating with analysts, developers, and stakeholders across the company. ? Create meaningful data visualizations to better communicate data insights to the business teams. ? Identify areas for improvement and make recommendations for new opportunities. ? Support and train end-users to maximize the BI solution's effectiveness. ? Monitoring of product metrics to alert about changes, conduct ad-hoc/periodic analytics and present your results. ? Work closely with the Finance department: COO, FP&A, VP Finance.

Were now looking for an Analytics hawk to soar with our team!

Our massively popular gaming app is enjoyed by millions of people from around the world who experience the fun of playing live with friends and connecting with new ones!

If youre an eagle-eyed, sharp, intelligent, data-driven analyst, with a love for stats and numbers, wed love to talk!

The role will involve answering challenging inquiries for the company's diverse teams (Product, Marketing, etc.) and making sense of data! An essential part of the role requires being consistently curious by data, trying to understand it best and aiding in data-driven solutions across the company.

RESPONSIBILITIES
Managing master data, including creation, updates, and deletion
Analyzing large and at times complex data sets of user engagement and ultimately come up with decisive data-driven understanding that can aid in executing business decisions
Provide clear recommendations through analytic conclusions that ultimately affect game features, monetization decisions, game economy, etc.
Build and maintain reports, dashboards and metrics to monitor product performance
Helping develop reports and analysis
Plan and analyze effective A/B tests in order to improve business KPIs
Develop a deep understanding of company products to meet the company's current and future goals

Supersonic is seeking an experienced, data -driven and highly motivated BI Developer to join our data team. A strong candidate is an independent, analytically minded individual with strong data modeling and data engineering skills. Come and help us turn billions of daily events into critical information, business insights and graphical dashboards that will help to make impact decisions on our business
What You'll Be Doing
Design, manage and maintain analytics products and BI solutions for the entire group
Work with a variety of relational and non-relational databases (Redshift, MySQL and others)
Develop ETL processes using different tools (Airflow, and others)
Design and develop data visualization (Tableau, redash and others)
Monitor the integrity and validity of the data reported

We're looking for a talented and motivated BI analyst to join our team. In this role, you'll collaborate closely with our Analytics team to establish a comprehensive end-to-end reporting data framework. The position is Temporary for a period of 6-9 months.
What Youll Do :
Design, Develop, and Monitor: Assisting developing our analytical data layer, employing hands-on expertise in creating and managing Data Warehouse (DWH) tables.
Scalability and Reusability: Collaborate with analysts to identify opportunities for enhancing the scalability and reusability of our data structure.
Data Quality and Reliability: Proactively explore methods to improve data quality and reliability within our systems.
Dashboard Development and Monitoring: Explore ways to develop and monitor dashboards, ensuring they provide valuable insights and align with organizational goals.

We are seeking a Sr. Data Engineer - Analytics.
We develop a platform that collects data from dozens of sources and uses AI and data science to extract insights for making fast and optimal business decisions.
We have assembled an excellent team of leading data engineers, software developers, designers, product managers, and data scientists working towards this goal.
Our recently refurbished offices are in Tel-Aviv and we employ a hybrid work from home model.
On a typical day, you will:
Use Python and SQL to develop, scale, and optimize advanced data pipelines.
Merge multiple data sources into a clean, unified, and integrated single source of truth.
Ensure data integrity, freshness, and best practices in our growing data lake.
Manage and optimize data infrastructure, ensuring high performance, security, and reliability.
Collaborate with stakeholders across the company and support business insight requests.

Were looking for an experienced BI Developer to join our Data team.
WHAT YOULL DO

Develop and maintain BI assets - dashboards, datasets, catalogs, and self-service solutions
Support and develop BI solutions end-to-end - from gathering business needs and developing data models to launching dashboards
Tableau develop dashboards based on best practices and support users across the company (Analysts/Tableau developers)
Support ad-hoc needs/requests of internal stakeholders
Collaborate with various departments - Product, Finance, Revenue, and Marketing

We are looking for a Customer Facing Data Scientist (LLM).
As a Customer Facing Data Scientist you will be at the core of our most important effort: how do we solve our customers LLM evaluation pains at scale.
You will work with some of the worlds best AI groups and with our top notch product data science team.
You will play a critical role in ensuring that our customers effectively use LLM Evaluation for testing and monitoring and have full ownership for identifying the best path of implementing the solution into our users LLM pipelines.
Thus helping them to prevent hallucinations, create automatic evaluation flows, and enable continuous performance tracking and improvement. Being customer facing means that you will be working with our customers to understand their needs, help them customize the solution and investigate issues.
This role requires expertise in data science and proficiency in Python. Communicating with customers means that you will need to present your ideas concisely, know how to find a way to work around customers/prospects objections and develop relationships.
The ideal candidate holds a relevant degree and possesses hands-on experience managing LLM solutions in an operational production environment along with a passion to make our customers successful.
Well be going through a lot together, so we want your character and mindset to be a good fit for a fast-moving startup.

We are the biggest up and coming social gaming start-up and we're looking for a talented Senior BI Developer to join us.
Responsibilities:
* Design, Develop and Operate the data pipelines required for optimal ETL, from a wide variety of data sources.
* Work closely with R&D and Marketing teams on the design and implementation of data solutions.
* Provide data solutions for the business analysts.
* Build our data warehouse.
 
Advantages:
* B.A./B.Sc. in industrial/information systems engineering, Computer Science, or equivalent - Advantage.
* Gaming Experience - Advantage.
* Love of Poker - Big Advantage.
* Understanding of distributed data processing architecture and tools such as Kafka and Spark.
* Experience in building and maintaining data warehouse modelling.
* Experience with Docker and Kubernetes.
* Experience with GCP services.