AgileGrid Solutions
Lead Data Analyst

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About The Company
Women in Data® is a renowned organization dedicated to empowering women in the data industry and fostering diversity and inclusion within the tech and analytics sectors. With a strong commitment to professional development, community building, and advocacy, Women in Data® provides a platform for women to connect, learn, and thrive in data-related careers. The organization collaborates with leading companies and industry experts to promote best practices, support career progression, and drive innovation in data science, analytics, and technology fields. As a proud supporter of initiatives like Women in Data, the organization aims to create an equitable environment where talent, regardless of gender or background, can excel and contribute meaningfully to the digital economy.
About The Role
As a Lead Data Analyst at Women in Data®, you will be instrumental in transforming how data is leveraged to enhance customer experiences across the UK Customer segment. This role involves spearheading the development and governance of customer data models within Adobe Experience Platform, ensuring that data schemas, datasets, and audience definitions are structured, reusable, and aligned with business objectives. You will collaborate with cross-functional teams including Digital, Marketing, Data Privacy, and Digital Analytics to translate strategic goals into precise data and audience designs. Your expertise will help establish a robust data foundation that supports advanced analytics, personalized customer journeys, and responsible data use. The position offers a unique opportunity to influence data strategy, foster data governance best practices, and enable scalable, trusted data capabilities across the organization.
Qualifications
- Proven experience designing and governing audiences within Adobe Experience Platform, Real-Time CDP, or similar environments.
- Strong understanding of XDM concepts, including event vs profile modeling and schema-driven design principles.
- Hands-on experience working with Customer Journey Analytics (CJA) or comparable journey analytics tools.
- Knowledge of how audiences are utilized by Adobe Journey Optimizer, Adobe Target, and other activation platforms.
- Experience incorporating privacy, consent, and data restrictions into audience and schema design.
- Excellent analytical, problem-solving, and communication skills to translate business requirements into technical solutions.
- Ability to work collaboratively across teams, including Data Privacy, Martech, Digital, and Marketing.
- Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field; advanced certifications are a plus.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Responsibilities
- Define, develop, and govern XDM schema and dataset standards to ensure consistency and clarity across the Adobe Experience Platform.
- Translate complex business requirements into logical audience definitions, validating behavior, scale, and eligibility criteria.
- Collaborate closely with Digital Analytics and Marketing teams to advise on audience activation, measurement, and optimization strategies.
- Own the creation and management of audiences exported to third-party tools for marketing and media activation purposes.
- Establish shared analytical taxonomies and attributes used across customer journeys, reporting, and experimentation efforts.
- Work with Data Privacy and Martech teams to ensure data labels and schemas comply with privacy regulations and data restrictions.
- Design and oversee governance frameworks for customer data models, ensuring they are scalable, explainable, and trustworthy.
- Maintain expertise in XDM concepts, schema design, and journey analytics tools to continuously improve data practices.
- Support responsible data use by integrating privacy and consent considerations into all data and audience strategies.


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Benefits
Women in Data® offers a comprehensive benefits package aimed at promoting work-life balance, professional growth, and overall well-being. Employees enjoy 33 days of holiday (including bank holidays), which increases with tenure up to 38 days. Additionally, staff have the option to buy or sell up to five days of annual leave to tailor their time off to personal needs. The organization provides competitive share schemes, with eligible employees receiving up to £3,600 in free shares annually after one year of service, fostering a sense of ownership and shared success. The company is committed to creating an inclusive, supportive environment, recognized as a Great Place to Work for Women, Wellbeing, and overall organizational culture. Other benefits include flexible working arrangements, professional development opportunities, and health and wellness programs designed to support a healthy work-life balance.
Equal Opportunity
Women in Data® is an equal opportunity employer committed to creating an inclusive environment for all employees. We celebrate diversity and are dedicated to ensuring that our hiring, promotion, and employment practices are free from discrimination based on race, gender, age, sexuality, disability, or any other protected characteristic. We believe that a diverse workforce fosters innovation, creativity, and a richer organizational culture. Our organization actively promotes accessibility and encourages applications from candidates of all backgrounds, ensuring everyone has an equal chance to contribute and succeed within our community.
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