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- Tasks: Standardise and automate analytical processes while delivering media quality analysis and campaign reporting.
- Company: Join a remote-friendly company with a vibrant culture and flexible work options.
- Benefits: Enjoy competitive salary, paid time off, and an education budget for professional growth.
- Why this job: Make an impact in digital media analytics and collaborate with industry leaders.
- Qualifications: 2+ years in programmatic advertising or relevant analytical experience; SQL and Excel skills required.
- Other info: Dynamic environment with mentorship opportunities and a commitment to diversity and inclusion.
The predicted salary is between 36000 - 60000 £ per year.
This position reports to the Senior Director of Analytics & Technical Account Management; it works to standardize and automate analytical processes. In this role, you will join a team of Data Analysts who support our clients by delivering media quality analysis, campaign reporting, and optimization opportunities to advertisers, agencies, and publishers alike. You’ll be responsible for developing and automating reporting workflows and insights tools for both internal and external use. Day-to-day activities will include SQL querying, Excel modeling, client reporting and insight delivery.
We’re seeking a candidate with 2+ years of experience in programmatic advertising and digital media analytics, but all analytical experience will be considered. We have a NYC office and a London WeWork, but operate as a remote-friendly company with flexible work options.
What you'll learn
An important part of our culture is continuous learning and the open sharing of ideas. We offer:
- Access to a broad network of investors and advisors who can help you and your team succeed
- Mentorship from executives with decades of experience in adtech and media
- Regular internal knowledge-sharing sessions
- An education budget to support ongoing professional growth and development
In this role you'll learn:
- Gain a deep understanding of attention metrics and media quality measurement
- Work alongside Senior Analysts and Data Scientists to build scalable solutions for our business
- Learn how business units collaborate by working within a transparent, cross-functional environment
- Network with industry leaders to drive adoption
Core responsibilities
- Use SQL and Excel to explore, clean, and filter data in preparation for analysis
- Collaborate with other teams to ensure data quality, accuracy, and consistency
- Aid in the automation of analytics processes using Python and Excel modeling
- Create reports and dashboards that communicate key findings and trends to clients
- Provide client support by answering questions, resolving issues, and providing guidance on how to use our platform and metric
- Stay updated on the latest developments and best practices in the digital media industry
What you'll bring
- Client Engagement & Insight Delivery – Experience communicating directly with clients to present findings, answer questions, and translate analytical results into actionable recommendations; able to build trust, tailor insights to different audiences, and support strategic decision-making through data
- SQL Proficiency – ability to write, optimize, and debug SQL queries; solid understanding of data modeling concepts and warehouse best practices a plus
- Excel Expertise – command of Excel, including pivot tables, lookup functions, and formula-based analysis to support data exploration and reporting tasks; working knowledge of Macros a plus
- BI & Visualization Tools – Hands‑on experience with BI/dashboarding platforms (e.g. Looker, Tableau); familiarity with semantic modeling layers a plus (e.g. LookML, dbt) a plus
- Programming Skills – familiarity with Python for data transformation, scripting, and automation; experience with associated libraries (e.g. pandas, openpyxl) a plus
- Data Quality & Testing – Strong attention to detail in building data validation, profiling routines, and root cause analysis workflows
- Communication & Collaboration – Excellent interpersonal skills with experience working cross‑functionally; ability to translate technical concepts for non‑technical audiences and deliver training/support
- Educational Background & Experience – Bachelor’s degree in a quantitative, technical, or analytical field (e.g. Computer Science, Math, Physics, Engineering) or a rigorous coding bootcamp with a portfolio demonstrating the above skills
Additional information
This position will be employed through Rippling’s local Employer of Record (EOR) entity which will act as the legal employer.
Benefits
- Health & Wellness
- Paid time off
- Parental leave
- Employee Development & Wellness Stipend
- Festive break
- Volunteer time off
Financial & Compensation
- Competitive salary
- Performance-based quarterly bonus
- Stock options
- Group pension plan
Workplace & Equipment
- Remote‑first environment
- London office
- Access to available WeWork spaces
Equal Employment Opportunity (EEO) Statement
Adelaide is proud to be an Equal Opportunity Employer, committed to fostering a diverse, equitable, and inclusive workplace where all employees can thrive. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other legally protected status. Our commitment to equal opportunity employment extends beyond basic compliance to encompass the active cultivation of a workplace that values different perspectives, backgrounds, and experiences.
Data Analyst employer: Dataanalystjobs
Contact Detail:
Dataanalystjobs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL queries, Excel models, and any dashboards you've built. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis scenarios. Be ready to discuss how you've tackled challenges in past roles, especially in programmatic advertising and digital media analytics. Practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Analyst role. Highlight your SQL proficiency, Excel expertise, and any relevant experience in programmatic advertising or digital media analytics.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data analysis and how your background aligns with our mission. Share specific examples of how you've used data to drive insights and support decision-making.
Showcase Your Technical Skills: Don’t forget to mention your programming skills, especially if you have experience with Python or BI tools like Tableau. We love seeing candidates who can automate processes and create insightful dashboards!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at Dataanalystjobs
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss how you've used SQL in past projects, and maybe even practice writing some queries. This will show that you're not just familiar with SQL, but that you can actually apply it effectively.
✨Excel Like a Pro
Since Excel is a key part of this role, ensure you're comfortable with advanced functions like pivot tables and lookups. You might be asked to solve a problem using Excel during the interview, so practice some common tasks beforehand to demonstrate your expertise.
✨Showcase Your Client Engagement Skills
Prepare examples of how you've communicated insights to clients in the past. Think about how you tailored your findings to different audiences and how you built trust. This will highlight your ability to translate complex data into actionable recommendations.
✨Stay Updated on Industry Trends
Familiarise yourself with the latest developments in digital media analytics and programmatic advertising. Being able to discuss current trends or recent changes in the industry will show your passion and commitment to continuous learning, which aligns perfectly with the company culture.
