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- Tasks: Lead data operations, ensuring quality control and process improvements.
- Company: Join a dynamic team at a leading advertising agency focused on data-driven solutions.
- Benefits: Enjoy flexible working options, professional development opportunities, and a vibrant workplace culture.
- Why this job: Be part of a fast-paced environment where your ideas can drive real change and impact.
- Qualifications: Experience in advertising, data governance, and strong analytical skills are essential.
- Other info: Familiarity with tools like Excel, Tableau, and various marketing platforms is a plus.
The predicted salary is between 36000 - 60000 £ per year.
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About the Role: The Manager, Data Operations will oversee the development and ongoing operation of one of our largest brands. This role requires a strong familiarity with analytics and technology tools, both syndicated and proprietary. The ideal candidate must be able to proactively communicate ideas and opportunities, build strong relationships with internal teams and external client stakeholders, and contribute to the growth and development of the data operation practice.
Key Responsibilities:
- Data Operations: Actively engage in the development, implementation and maintenance of a comprehensive data management and integrity programme. This will include establishing data collection, transformation and distribution processes, quality control and troubleshooting, and the delivery of reporting applications.
- Process Governance: Work with onshore and offshore teams to set tasks, allocate resources, and review progress. Facilitate communication and progression of tasks through regular status meetings and working sessions. Ensure consistent and comprehensive documentation of data-related projects and processes.
- Data Quality Control: Act as the subject matter expert for issues relating to data quality and compliance with business logic. Maintain systems for data cleansing, QA, and error correction. Ensure errors and omissions are corrected quickly, and that non-compliance is escalated appropriately.
- Process Improvement: Implement process improvements to enhance operational efficiency. Provide guidance to the wider Data Operations team and proactively engage Data Operations leadership to identify innovative solutions that drive business outcomes.
Systems & Tools:
- Business Applications: Microsoft Office Suite, Project, Visio, Excel power user, Smartsheets
- Data applications and languages: Datorama, Amazon S3, Redshift, MS SQL Server, Alteryx, Tableau, R, Python
- Marketing and media platforms: Prisma, MediaOcean, Doubleclick, Google Analytics, Adobe Analytics (Omniture), DV360, Google Ads, IAS, TradeDesk
Experience & Skills Needed:
- Experience in an advertising agency; Ad Operations, Analytics, or Digital Investment is preferred.
- Experience in data governance and data quality processes in a Data Warehousing, ETL, and Business Intelligence environment.
- Knowledge and experience across multiple media channels (digital, search, social, offline, etc.).
- Strong attention to detail and excellent verbal and written skills.
- Exceptional organisational skills, multi-tasking capabilities, and detail-oriented.
- Comfortable working with budgets, numbers, and scoping exercises.
- Strong Excel skills required.
Contact Detail:
ENGINEERINGUK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Manager, Data Operations
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as Datorama, Amazon S3, and Tableau. Having hands-on experience or even completing relevant online courses can give you a significant edge during discussions.
✨Tip Number 2
Network with professionals in the data operations field, especially those who have experience in advertising agencies. Attend industry events or join online forums to connect with potential colleagues and learn more about the role.
✨Tip Number 3
Prepare to discuss your previous experiences with data governance and quality control processes. Be ready to share specific examples of how you've improved operational efficiency in past roles, as this will demonstrate your capability to contribute to our data operation practice.
✨Tip Number 4
Showcase your communication skills by preparing thoughtful questions about the team dynamics and project management processes at StudySmarter. This not only highlights your interest in the role but also your proactive approach to collaboration.
We think you need these skills to ace Manager, Data Operations
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data operations, analytics, and technology tools. Use keywords from the job description to demonstrate your fit for the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your understanding of data management and your ability to improve processes. Mention specific examples of how you've successfully managed data quality and compliance in previous roles.
Showcase Technical Skills: In your application, emphasise your proficiency with the required tools and languages such as Excel, SQL, and data visualisation software. Provide examples of projects where you utilised these skills effectively.
Highlight Communication Abilities: Since the role involves building relationships with internal teams and external stakeholders, include examples of how you've successfully communicated complex ideas and facilitated collaboration in past positions.
How to prepare for a job interview at ENGINEERINGUK
✨Showcase Your Technical Skills
Make sure to highlight your familiarity with the specific tools mentioned in the job description, such as Excel, SQL, and data applications like Datorama and Tableau. Be prepared to discuss how you've used these tools in past roles to manage data operations effectively.
✨Demonstrate Your Communication Skills
Since the role requires proactive communication with internal teams and external stakeholders, practice articulating your ideas clearly. Prepare examples of how you've successfully communicated complex data insights to non-technical audiences in previous positions.
✨Prepare for Process Improvement Discussions
Think about instances where you've implemented process improvements in your previous roles. Be ready to discuss specific challenges you faced, the solutions you proposed, and the outcomes of those changes, as this will demonstrate your ability to enhance operational efficiency.
✨Emphasise Your Attention to Detail
Given the importance of data quality control in this role, prepare to provide examples that showcase your attention to detail. Discuss how you've ensured data integrity in past projects and how you handle errors or compliance issues when they arise.
