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For Companies At a Glance
- Tasks: Design, build, and maintain data assets to measure marketing effectiveness.
- Company: Join KatKin, a disruptor in the pet food industry focused on growth and innovation.
- Benefits: Enjoy competitive salary, health insurance, 33 days holiday, and a flexible work-from-home policy.
- Why this job: Be part of a close-knit team using cutting-edge technology to drive customer growth.
- Qualifications: 3+ years in omnichannel Attribution and marketing effectiveness; SQL and dbt experience required.
- Other info: Work in a cat-friendly office with a supportive culture and personal development budget.
The predicted salary is between 36000 - 60000 £ per year.
KatKin’s Opportunity
What we do at KatKin
Why You’ll Love Working With Us
The Role
As an Analytics Engineer, you will be central in designing, building and maintaining data assets to measure marketing effectiveness with our Growth teams. We want this person to own our Attribution, CAC and LTV models to support, drive and optimise our customer growth initiatives.
We seek enthusiastic and versatile builders who embody our brand principles and inclusive culture as we scale Katkin.
We have a modern cloud-based analytics stack consisting of Fivetran, Google BigQuery, dbt Cloud, Hex and Looker. Looking ahead we are exploring the opportunity to bring in a reverse ETL tool to increase the level of integration and personalisation we can deliver to the business.
If working in a tight-knit team with the latest technologies for a disruptor sounds attractive, then read on and apply.
Key ownership areas
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Partnering with the Growth team to own and drive the measurement and continual analysis of marketing effectiveness across all channels, offers and campaigns. This role will provide strategic and technical end-to-end support to drive and optimise customer growth initiatives.
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The maintenance and development of existing Attribution, CPA, CAC and LTV models held in dbt.
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The technical roadmap for enhancing and improving our marketing effectiveness through new developments and tooling.
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Shared ownership of our dbt project, deployment optimisations, testing frameworks and modelling architecture.
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Shared ownership of our data pipelines and debugging responsibilities.
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Shared ownership of our LookML development and deployment strategy.
Who we are looking for:
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You have at least 3 years of experience working with omnichannel Attribution, CPA, CAC and LTV practices.
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You have at least 3 years of experience optimising the marketing effectiveness of growth offers and campaigns for a marketing or growth team.
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Relatable experience at direct-to-consumer subscription or digital-first businesses where you have optimised marketing investment across brand, customer and performance channels.
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You have at least 4 years of experience designing and building data assets with SQL and dbt.
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A clear and effective communicator to both technical and non-technical audiences.
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An agile thinking, problem solver, who thrives when working collaboratively within a team.
Nice to haves
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You have experience building and working on Marketing Mix Models (MMM).
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You are proficient in at least one programming language (Python, R, etc).
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You are proficient with Git for version control and CI/CD practices.
What We Offer
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Career-Defining Opportunity: Play a pivotal role in scaling our brand quickly.
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Competitive Package:
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Competitive salary
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AXA Health Insurance, including optical and dental coverage
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Annual personal development budget
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Company-contributed pension
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Culture and Perks:
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A small, close-knit team with no egos
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33 days of holiday each year (inclusive of bank holidays) plus your birthday off
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4-week Work From Anywhere (WFA) policy
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12-week maternity/paternity leave policy
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Up to 2 days WFH (Work From Home) every week
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Discount on KatKin fresh meals
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Cat (and dog) friendly office
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To Apply
Click below
#J-18808-Ljbffr
Analytics Engineer employer: Katkin
Contact Detail:
Katkin Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer
✨Tip Number 1
Familiarize yourself with the specific tools mentioned in the job description, like Fivetran, Google BigQuery, dbt Cloud, Hex, and Looker. Having hands-on experience or projects showcasing your skills with these technologies will make you stand out.
✨Tip Number 2
Highlight your experience with omnichannel Attribution, CPA, CAC, and LTV practices. Be ready to discuss specific examples of how you've optimized marketing effectiveness in previous roles, especially in direct-to-consumer or digital-first businesses.
✨Tip Number 3
Showcase your problem-solving skills and ability to work collaboratively. Prepare to share instances where you've successfully collaborated with growth teams or other departments to drive customer growth initiatives.
✨Tip Number 4
If you have experience with Marketing Mix Models (MMM) or programming languages like Python or R, make sure to mention this. These additional skills can give you an edge over other candidates.
We think you need these skills to ace Analytics Engineer
Some tips for your application 🫡
Understand the Role: Make sure you fully understand the responsibilities and requirements of the Analytics Engineer position at KatKin. Familiarize yourself with key terms like Attribution, CAC, and LTV, as well as the tools mentioned in the job description.
Tailor Your CV: Customize your CV to highlight your experience with omnichannel Attribution, CPA, CAC, and LTV practices. Emphasize your work with SQL and dbt, and any relevant projects that showcase your ability to optimize marketing effectiveness.
Craft a Compelling Cover Letter: Write a cover letter that reflects your enthusiasm for the role and the company culture at KatKin. Discuss how your skills align with their needs and mention specific experiences that demonstrate your problem-solving abilities and collaborative spirit.
Showcase Your Technical Skills: If you have experience with programming languages like Python or R, or tools like Git, make sure to include this in your application. Highlight any relevant projects or achievements that demonstrate your technical expertise and ability to work with data assets.
How to prepare for a job interview at Katkin
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL and dbt in detail. Highlight specific projects where you've designed and built data assets, and be ready to explain the impact of your work on marketing effectiveness.
✨Understand Marketing Metrics
Familiarize yourself with key metrics like Attribution, CAC, and LTV. Be ready to discuss how you've used these metrics in previous roles to optimize marketing campaigns and drive customer growth.
✨Communicate Clearly
As a clear communicator, practice explaining complex technical concepts in simple terms. This will help you connect with both technical and non-technical team members during the interview.
✨Demonstrate Team Collaboration
Prepare examples of how you've worked collaboratively within a team. Emphasize your agile thinking and problem-solving skills, showcasing how you contribute to a positive team dynamic.
