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- Tasks: Design and develop data engineering applications in a dynamic Snowflake environment.
- Company: Join FreeWheel, a global leader in ad technology, part of Comcast.
- Benefits: Enjoy flexible work options, competitive pay, and comprehensive benefits tailored to your needs.
- Why this job: Be part of a cutting-edge team transforming data workflows in the advertising industry.
- Qualifications: Bachelor's degree and 4 years of experience in Data Analysis and Engineering required.
- Other info: 12-month contract with potential for permanent position; fluency in French is a plus.
The predicted salary is between 48000 - 84000 £ per year.
FreeWheel, a Comcast company, provides comprehensive ad platforms for publishers, advertisers, and media buyers. Powered by premium video content, robust data, and advanced technology, we’re making it easier for buyers and sellers to transact across all screens, data types, and sales channels.
As a Global Business Intelligence Data Engineer 3 on Freewheel’s System Administration and Automation Team, you will leverage a dynamic skill set as you help us create and implement standards and best practices in our rapidly growing Snowflake Environment. You will be an excellent communicator who is comfortable providing expert consultation on our tool sets both remotely and in person to all levels of the organization. You will have a passion for Data technologies and will code, test, and debug new and existing applications using SQL and other Data Engineering and BI Tools. You will be driven to learn about Freewheel’s Ad-Tech driven products (MRM, Beeswax, Strata, and others) and how their processes are implemented in Snowflake and other Tools such as Looker. You will be a subject matter expert that understands how data flows across our platforms and assist in creating cleaner and streamlined data workflows throughout the FreeWheel Enterprise.
In this role, you will:
- Design new software and Data Engineering applications in the Snowflake Environment
- Display in-depth knowledge of engineering methodologies, concepts, skills and their application in Snowflake and related technologies.
- Develop advanced Snowflake SQL and ETL code for support of FreeWheel’s BI Systems
- Utilize Snowflake standards and best practices
- Work closely with internal stakeholders and business partners to understand their needs and transform them into functioning solutions
- Employ platform best practices to deliver world-class solutions.
- Conduct regular presentations both in person and remotely to all levels of the FreeWheel organization on Snowflake best practices
- Display in-depth knowledge of and ability to apply, process design and redesign skills.
- Display knowledge of and ability to apply, project management skills.
- Display consistent exercise of independent judgment and discretion in matters of significance.
Our tech stack:
- Bachelor's degree or equivalent in quantitative or similar field required.
- 4 years of experience in Data Analysis and Data Pipeline Engineering
- Knowledge of Snowflake Architecture, Best Practices, and Implementation required
- Strong knowledge of Snowflake SQL Development is required
- Experience with Visualization BI tools (Looker is required. Tableau and/or Power BI is a plus).
- Knowledge of Microsoft Fabric and Microsoft SQL Server is a plus
- Experience with a scripting language (Python or R).
- Experience with Fivetran or other ETL Tools is a plus
- Experience in Advertising Technology is a major plus.
- Experience with FreeWheel Data and Products (MRM, Beeswax, Strata) is a plus
- Experience with Atlan or other Data Tools is a plus
- Fluency in French is a major plus
To be successful you will need to:
- Ability to drive software development activities to meet project schedules and timelines
- Ability to ensure code quality is high with supporting unit tests
- Must have the ability to scope the technical portion of a project, estimate effort, and develop/architect individual solutions
- Must have strong verbal and written communication skills and the ability to work effectively with both technical and non-technical groups in both French and English
- Must be team player who possesses the ability to work with cross-functional and geographically diverse teams
- Experience with agile development methodologies is preferred
Contact Detail:
Comcast Corporation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analyst, Data Analytics
✨Tip Number 1
Familiarise yourself with Snowflake's architecture and best practices. Since this role heavily involves working within the Snowflake environment, understanding its functionalities and how to optimise them will give you a significant edge during interviews.
✨Tip Number 2
Brush up on your SQL skills, particularly in Snowflake SQL development. Being able to demonstrate your coding abilities and problem-solving skills with real-world examples can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the advertising technology space, especially those familiar with FreeWheel's products like MRM, Beeswax, and Strata. Engaging with industry experts can provide insights and potentially lead to referrals.
✨Tip Number 4
Prepare to discuss your experience with BI tools, particularly Looker. Be ready to explain how you've used these tools to create data visualisations and support decision-making processes in previous roles.
We think you need these skills to ace Senior Analyst, Data Analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in Data Analysis and Data Pipeline Engineering. Emphasise your knowledge of Snowflake Architecture and SQL Development, as these are crucial for the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data technologies and your understanding of FreeWheel's ad-tech products. Mention specific projects or experiences that demonstrate your ability to design and implement solutions in a Snowflake environment.
Showcase Communication Skills: Since the role requires excellent communication skills, provide examples in your application of how you've effectively communicated complex technical concepts to both technical and non-technical audiences.
Highlight Team Collaboration: Discuss your experience working with cross-functional teams. Provide examples of how you have collaborated with stakeholders to understand their needs and deliver effective data solutions.
How to prepare for a job interview at Comcast Corporation
✨Showcase Your Technical Skills
Make sure to highlight your experience with Snowflake SQL and any relevant BI tools like Looker. Be prepared to discuss specific projects where you've successfully implemented data solutions, as this will demonstrate your technical expertise.
✨Understand the Company’s Products
Familiarise yourself with FreeWheel's ad-tech products such as MRM, Beeswax, and Strata. Showing that you have a grasp of how these products work and their integration with data workflows will impress your interviewers.
✨Prepare for Communication Scenarios
Since the role requires strong communication skills, practice explaining complex technical concepts in simple terms. You might be asked to present your ideas or solutions, so being clear and concise is key.
✨Demonstrate Team Collaboration
Be ready to discuss your experience working in cross-functional teams. Highlight examples where you collaborated with both technical and non-technical stakeholders to deliver successful projects, as teamwork is crucial in this role.
