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We are looking for a professional and enthusiastic BI Developer to join our team! The BI Developer will be responsible for defining and building our data pipelines and analytics infrastructure. You will work closely with product managers, R&D engineers, and business stakeholders to support new initiatives and proactively improve our data solutions. You will help create and manage data processes for actionable insights and operational needs.

If you are passionate about data modeling and data processing, with excellent visualization and analytical skills, this job is for you.

Key Responsibilities
As a BI Developer, you will be responsible for:

Design, build, and maintain end-to-end easy-to-use data solutions. This includes orchestration, data modeling, dashboards, monitoring, alerting, experimentation models, etc.
Collaborate effectively with cross-department stakeholders to capture analytical requirements
Analyze complex datasets, and provide useful actionable recommendations

solutions to the global gaming industry. To put it simply - we make Mobile and Facebook games that are fun to play, fun to make, and we're growing like crazy! SciPlay's reach is made possible by the expertise of our rock star teams and game makers. Want to be part of a fast-paced company that lands in the Top 1% of Social Casino games? See more details below!

Position Summary

We're looking for a BI Developer to join our global team and work on our massive data processing pipeline and help us deliver insights.
If you have a passion for data, you embrace an agile, success-driven culture, are an excellent communicator, we would love to talk soon.

Responsibilities

Pull data from various data sources and integrate into the ETL process
Optimize workloads to reduce cost and improve performance
Develop monitoring over BI infrastructure
Translate business requirements to technical specifications
Work closely with Product analysts, Marketing, Data Scientists and Finance to deliver insights
Design and own our DWH
Work with a variety of databases (Redshift, Snowflake, Databricks, MySQL)
Monitor the integrity and validity of the data
Design and develop data visualizations (Tableau)
Maintain our Platforms (Snowflake, Tableau etc.)

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 and Wix 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

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.

In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.

You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.

Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.

Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.

Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Data Engineer, Product Analytics Responsibilities
Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
Define and manage Service Level Agreements for all data sets in allocated areas of ownership
Solve challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
Improve logging
Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
Influence product and cross-functional teams to identify data opportunities to drive impact

SciPlay, is a global leader focused in providing an ever-expanding portfolio of robust iGaming and Social Casino solutions to the global gaming industry. To put it simply - we make Mobile and Facebook games that are fun to play, fun to make, and we're growing like crazy! SciPlay's reach is made possible by the expertise of our rock star teams and game makers. Want to be part of a fast-paced company that lands in the Top 1% of Social Casino games? See more details below!

Position Summary

Key Responsibilities:

Leverage multiple massive and complex data sets to identify patterns, trends, opportunities and threats to the product.

Use advanced analytics, data mining, BI and statistical tools, along with critical and strategic thinking to execute top-notch analyses to drive the product growth.

Translate AB Tests, business and strategic questions into structured analysis method and accordingly plan and execute the most suitable approach, technique, solution and lead to actionable recommendations that will optimize the game performance.

Consistently monitor the product KPIs to ensure its health and drive the product focus.

Work closely with the Product, Monetization and Economy departments and deliver valuable analytics outputs to support decision making.

Plan, develop and maintain reports for different needs and departments, including senior management.

Own and lead multiple projects simultaneously in a dynamic and results-oriented environment.

Why Join Us?
We are looking for a BI Expert to join our Data Engineering team.

Who has a passion for Data Engineering, who has a desire to solve complex technological challenges with a proactive approach to a constant improvement

We use an interesting and mixed technology stack: Snowflake, AWS Cloud Technologies- (e.g. S3 Airflow), Power BI

In this position you will use your expertise in development large-scale data driven systems focusing on data analysis, development, and performance improvement.

Key Responsibilities
Work closely with business stakeholders to understand their data needs and provide solutions.
Gather data from various sources, including databases, APIs, and external data providers.
Design and implementing Extract, Transform, Load (ETL) processes to integrate data from multiple sources into a centralized data warehouse.
Create and maintain efficient database schemas and structures to store business data.
Develop data models to represent business processes and support decision-making.
Implement policies and procedures to ensure data is managed securely and complies with relevant regulations.
Improve the performance of data queries to ensure efficient data retrieval, manage & monitor to resolve performance issues.
Stay up-to-date with the latest data technologies and tools to continuously improve data infrastructure.
Identify opportunities to streamline data processes and enhance efficiency.

Do you want to use data to help drive the direction of products that impact the lives of over 1 billion people every day? If yes, we want to talk to you. We're looking for a leader in our Data Engineering team to work closely with Product Managers, Data Scientists and Software Engineers to support product launches and roadmaps by building the data architecture that informs and drives insight. In this role, you'll see a direct link between your work, company growth, and user satisfaction. You'll work with some of the brightest minds in the industry, work with one of the richest data sets in the world, use cutting edge technology, and see your efforts affect products and people on a regular basis. The perfect candidate will have demonstrated experience in data infrastructure and data architecture skills, a proven track record of leading and scaling BI teams, demonstrated experience in operational skills to drive efficiency and speed, project management leadership, and a comprehensive vision for how data can proactively improve companies.
Data Engineering Manager, Analytics Responsibilities
Proactively drive the vision for BI and Data Warehousing across a product vertical, and define and execute on a plan to achieve that vision.
Define the processes needed to achieve operational efficency in all areas, including project management and system reliability.
Build a high-quality BI and Data Warehousing team and design the team to scale.
Build cross-functional relationships with Data Scientists, Product Managers and Software Engineers to understand data needs and deliver on those needs.
Manage data warehouse plans across a product vertical.
Drive the design, building, and launching of new data models and data pipelines in production.
Drive data quality across the product vertical and related business areas.
Manage the delivery of high impact dashboards and data visualizations.
Define and manage SLAs for all data sets and processes running in production.