Data Strategy & Analytics Manager

Title: Data Strategy & Analytics Manager Location: London

About Kepler

Kepler executes engineered marketing, where every message and ad delivered helps create a more personalised and productive relationship between brands and their consumers. We do this by acting as clients’ agency of record, as their in-house team, or some hybrid of the two – and by harnessing data and technology across all paid digital media and data-driven CRM channels.

• We're transparent with our employees. You'll hear updates on company financials, how we're performing against bonus goals, and how we're responding to challenges we face. 
• We're growing. For you, that means unparalleled growth opportunities and a role in shaping the direction of the company. 
• We're fun. You'll work with and learn from the smartest people in the industry and have a blast doing it. 

Overview

You’ll be joining the Data Strategy & Analytics team. The team combines deep analytics expertise with strong marketing savvy to deliver insights and recommendations to both internal stakeholders and external global clients. We’re a team that is highly integrated with our clients, and have end to end responsibility of marketing analytics & technologies, from the maintenance of the data infrastructure, to building measurement frameworks, to insights generation, to marketing technology implementation and strategic marketing recommendations. 

Role Overview

The Data Strategy & Analytics Manager plays a key role within the team. Reporting into the Senior Manager or Associate Director, the Manager owns all client analytics work from advanced analytics studies and data storytelling to measurement frameworks and testing roadmaps. You will work closely with the Strategy & Activation team to ensure projects are aligned with client priorities and delivered in concord with campaign execution. You will also work closely with analysts to ensure data queries and performance insights are accurate and in line with campaign goals.

About the Role

Here’s what we’d like you to do:

• Lead day-to-day contact with clients and internal teams (calls and/or face-to-face) to facilitate business and marketing goals, leveraging data, analytics and technology to advance these goals
• Build strong client relationships, anticipating needs that support their primary focus areas
• Implement robust measurement and experimentation frameworks to ensure clients are on the cutting edge of marketing measurement
• Lead data storytelling efforts, interpreting marketing performance data and crafting a holistic and succinct cross-channel performance story with actionable insights across the various digital channels and devices (Display, Video, Social, Search, Audio, OOH etc)
• Support the adoption of clients marketing technologies, including data clean rooms, tag management platforms, customer data platforms and MMM, ensuring the effective and best-in-class use of each
• Collaborate with external media and measurement agencies to ensure cohesive approach to data, analytics and technology
• Build relationships with key media partners and technology vendors (e.g. Google, Meta, Amazon) to deliver best in class service and opportunities for our clients
• Train and coach Analysts to develop and grow within the team, supporting them across areas including dashboard development, audience creation and insight generation
• Work with the other (Senior) Managers to brainstorm and implement wider company and client focused initiatives

Desired Experience and Skills

• 3+ years of experience working in analytics in a marketing agency/in-house marketing team, ideally across a minimum of 2 of the following digital channels: programmatic display, video, paid search and/or paid social.
• A technical/analytical mind-set with strong quantitative skills, and comfort with MS Excel, SQL, data analysis and digital marketing technologies
• Understanding of econometrics and how this supports marketing and effectiveness
• A proven passion for digital media/advertising & technology
• Strong people & communication skills, experience in creating and presenting data-driven storytelling insights to external stakeholders
• Excellent client service approach and ability to multitask with great attention to detail
• Enjoyment when working as part of a team
• Coaching or line management experience
• Some knowledge of programming languages to aid in analysis and automation (e.g. SQL, Python, R) is helpful, but not required

Salary & Benefits

Our compensation strategy is designed to attract, reward, and retain the talented employees that drive Kepler’s growth and success. We aim to offer competitive direct compensation that demonstrates the value we place on our employees and their well-being. Our salary banding for this role starts at £41,800 per annum.

Our employee benefits are structured around core benefits, learning & development, work/life balance, wellbeing, hybrid working and extra perks:

• 25 days annual leave, increasing to 28 days after 3 years. Option to buy additional annual leave allowance up to 30 per year
• Healthcare cash plan
• Monthly Wellness Allowance 
• Ride to work cycle scheme
• Season ticket loan scheme
• ‘Work from Anywhere’ (WFA) for up to 4 weeks per year
• Hybrid working 3 days onsite and 2 days remote per week
• Flexible working with start and finish times between 8am - 10am and 4.30pm - 6.30pm
• Company pension contributions
• Enhanced parental leave policies
• Annual tuition budgets for out of work study
• Mobile phone, home broadband reimbursements
• Working from home equipment budget
• Weekly free breakfast, fruit and drinks
• Regular paid socials, and social budgets

The increasing adoption of AI is reshaping our industry. As part of your application, please include a brief disclosure of which AI tools (if any) you have used to assist with your preparation. Our interview process includes a discussion surrounding your experience experimenting with these tools and how to leverage them effectively within a professional setting. Please be aware that in line with GDPR, we do not allow use of AI for recording/transcripts during interviews without all attendees consent.