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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.
Manager, Data Operations employer: ENGINEERINGUK
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. Engaging with them on platforms like LinkedIn can provide insights into the role and may even lead to referrals.
✨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 organisational skills by preparing a structured approach to how you would manage tasks and resources in a team setting. This could involve creating a mock project plan or outlining how you would facilitate communication among teams.
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: In your cover letter, emphasise your familiarity with data management processes and your ability to communicate effectively with both internal teams and external stakeholders. Share specific examples of how you've contributed to process improvements in previous roles.
Showcase Technical Skills: Clearly outline your proficiency with the required tools and applications mentioned in the job description, such as Microsoft Office Suite, SQL, and data visualisation tools like Tableau. Provide examples of how you've used these skills in past projects.
Highlight Team Collaboration: Discuss your experience working with onshore and offshore teams, focusing on how you facilitated communication and task progression. Mention any specific projects where you successfully collaborated to achieve common goals.
How to prepare for a job interview at ENGINEERINGUK
✨Showcase Your Analytical Skills
As a Manager in Data Operations, you'll need to demonstrate your familiarity with analytics tools. Be prepared to discuss specific projects where you've used data analysis to drive decisions or improve processes.
✨Communicate Proactively
This role requires strong communication skills. Practice articulating your ideas clearly and concisely, and be ready to provide examples of how you've successfully communicated with both internal teams and external stakeholders.
✨Highlight Your Process Improvement Experience
Be ready to discuss any past experiences where you've implemented process improvements. Share specific examples that illustrate your ability to enhance operational efficiency and drive business outcomes.
✨Demonstrate Your Technical Proficiency
Familiarity with various data applications and languages is crucial. Brush up on your knowledge of tools like SQL, Tableau, and Python, and be prepared to discuss how you've used them in previous roles.
