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For Companies At a Glance
- Tasks: Design and maintain data models for digital media and marketing analytics.
- Company: Join Infosys, a global leader in digital services and consulting.
- Benefits: Enjoy competitive compensation, bonuses, and opportunities for continuous learning.
- Why this job: Be part of a dynamic team driving digital transformation and marketing effectiveness.
- Qualifications: 7+ years in data modelling with expertise in media buying platforms and SQL.
- Other info: Work in London with a diverse and inclusive company culture.
The predicted salary is between 43200 - 72000 £ per year.
Job Description
Role – Senior Consultant – Data Modeller
Technology – Data Modeller
Location – London
Business Unit – Data & Analytics
Compensation – Competitive (including bonus)
Job Description
We are seeking a highly skilled and experiencedData Modeller/architectwith deep expertise in thedigital media ecosystem, especially acrossmedia buying, activation, and campaign performance analytics. This role will be pivotal in designing scalable, reusable, and business-aligned data models that support marketing effectiveness, media spend optimization, and cross-channel activation insights.
Your role
This role is pivotal in designing and maintaining robust data models that support content analytics, audience insights, advertising performance, and digital transformation initiatives. You will collaborate with data engineers, analysts, and business stakeholders to translate complex business requirements into scalable, efficient, and high-performing data structures.
Responsibilities
Data Modelling & Architecture
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- Design conceptual, logical, and physical data models for digital media and marketing domains.
- Translate media buying and activation workflows into structured data assets.
- Collaborate with data engineers to implement models in cloud platforms (e.g., Azure, Databricks).
Domain Expertise
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- Understand and model data from platforms such as DV360, Meta, Amazon DSP, TikTok, IAS, Innovid, and others.
- Integrate campaign metadata, audience segments, impressions, clicks, conversions, and spend data.
- Align models with taxonomy standards and media KPIs.
Stakeholder Collaboration
-
- Work closely with head of architecture, Media teams, Activation teams and analytics leads to capture requirements.
- Support data governance, cataloguing, and lifecycle management initiatives.
Optimization & Reusability
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- Ensure models support modularity, composability, and reusability across campaigns and markets.
- Enable downstream Media use cases such as MMM, MTA, and real-time performance dashboards.
Required
- 7+ years of experience inData Modeller
- Broader understanding of a CPG or Consumer healthcare industry and functional understanding of data from one or more business functions.
- Functional familiarity with one or more key master domains such as product, customer, vendor, finance, people, location; and challenges typically involved in managing an enterprise view of the domain.
- Functional familiarity with one or more key transactional data domains such as sales, consumption, or other transactional data for a business function and the challenges typically involved in managing an enterprise view of the domain.
- Demonstrable experience in creating and managing an enterprise data architecture over a data platform architecture; and detailing out data flows between systems in the context of the data architecture
- Strong demonstrable experience in data design and modelling from conceptual, logical to physical data models and proficiency is using one or more modelling tools
- Strong understanding of media buying platforms, ad servers, and campaign activation tools.
- Proficiency in SQL, data warehousing concepts, and cloud data platforms.
- Experience with data governance, metadata management, and data quality frameworks.
About Us
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.
Infosys is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, spouse of protected veteran, or disability.
Country
United Kingdom
State / Region / Province
London
Work Location
London
Interest Group
Infosys Limited
Company
ITL UK
Role Designation
2015ASRCON Senior Consultant
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Senior Consultant-Data Modeller-UK employer: Infosys
Contact Detail:
Infosys Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Consultant-Data Modeller-UK
✨Tip Number 1
Familiarise yourself with the specific data modelling tools and platforms mentioned in the job description, such as Azure and Databricks. Having hands-on experience or relevant projects to discuss can really set you apart during interviews.
✨Tip Number 2
Make sure to brush up on your knowledge of media buying platforms like DV360 and Meta. Understanding how these platforms operate will help you demonstrate your domain expertise and show that you can effectively translate business requirements into data models.
✨Tip Number 3
Network with professionals in the data modelling and analytics field, especially those who have experience in the digital media ecosystem. Engaging with industry peers can provide valuable insights and potentially lead to referrals.
✨Tip Number 4
Prepare to discuss your previous experiences in stakeholder collaboration. Be ready to share examples of how you've worked with cross-functional teams to capture requirements and implement data governance initiatives, as this is a key aspect of the role.
We think you need these skills to ace Senior Consultant-Data Modeller-UK
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly understand the responsibilities and requirements of the Senior Consultant - Data Modeller position. Tailor your application to highlight your relevant experience in data modelling, especially within the digital media ecosystem.
Highlight Relevant Experience: In your CV and cover letter, emphasise your 7+ years of experience in data modelling and architecture. Include specific examples of how you've designed data models for media buying and campaign performance analytics, as well as your familiarity with platforms like DV360 and Meta.
Showcase Technical Skills: Make sure to detail your proficiency in SQL, cloud data platforms, and data warehousing concepts. Mention any modelling tools you are experienced with, as this is crucial for the role.
Craft a Compelling Cover Letter: Use your cover letter to explain why you're passionate about the role and how your skills align with the company's goals. Discuss your approach to stakeholder collaboration and how you can contribute to data governance and lifecycle management initiatives.
How to prepare for a job interview at Infosys
✨Showcase Your Data Modelling Expertise
Be prepared to discuss your experience in designing conceptual, logical, and physical data models. Highlight specific projects where you translated complex business requirements into effective data structures, especially in the digital media ecosystem.
✨Demonstrate Domain Knowledge
Familiarise yourself with key platforms mentioned in the job description, such as DV360, Meta, and Amazon DSP. Be ready to explain how you've integrated campaign metadata and audience segments in past roles.
✨Emphasise Collaboration Skills
This role requires working closely with various teams. Prepare examples of how you've successfully collaborated with stakeholders, such as data engineers and analytics leads, to capture requirements and support data governance initiatives.
✨Highlight Technical Proficiency
Make sure to discuss your proficiency in SQL and cloud data platforms. Be ready to explain your experience with data warehousing concepts and how you've implemented data quality frameworks in previous positions.
