At a Glance
- Tasks: Analyse marketplace dynamics and provide actionable insights to drive financial performance.
- Company: Join a dynamic finance team within a leading marketplace operations company.
- Benefits: Enjoy medical benefits, wellness programs, and a matching 401k.
- Other info: Opportunity for career growth and exposure across various business functions.
- Why this job: Make a real impact by connecting data with operational decisions in a fast-paced environment.
- Qualifications: 2+ years in data analytics, strong SQL skills, and proficiency in Excel required.
The predicted salary is between 33075 - 40425 £ per year.
We have an exciting opportunity for a Data Analyst to join our Finance team, dedicated to marketplace operations. The right person is passionate about connecting the dots between financial performance, day-to-day operational execution, and the underlying supply/demand dynamics that drive our marketplace.
You’ll sit inside Finance but work hands-on with Operations (Demand Ops, Supply Ops, Campaign Management) and Pricing & Yield, turning disparate operational and financial data into clear, actionable recommendations. This role gives you a dedicated seat inside marketplace operations while reporting through Finance — visibility across the business that few analyst roles offer.
Responsibilities include:
- Serve as the dedicated data analyst embedded in marketplace operations, working day‑to‑day with Demand Ops, Supply Ops, and Campaign Management while reporting through FP&A.
- Analyse marketplace dynamics — supply/demand balance, pricing trends, yield, and competitive positioning — to surface insights that inform operational and revenue decisions.
- Identify operational inefficiencies and build reporting that improves day‑to‑day decision‑making across the teams you support.
- Build and maintain models and dashboards that unify financial and operational data, reducing manual reporting effort over time.
- Translate complex, cross‑functional analysis into clear recommendations for senior leadership, including financial impact, tradeoffs, and risk.
- Support scenario planning and variance analysis tying operational drivers to financial outcomes.
- Identify emerging trends across the marketplace and proactively flag risks or opportunities before they materially affect performance.
- Establish and document best practices for analytical rigor and reporting consistency between Finance and Operations.
Benefits include:
- Medical/Dental/Vision/FSA
- Wellness Programs & Social Events
- Life/Disability Insurance
- Matching 401k
- Employee Referral Bonus Program
- Discounted Gym Membership
- Tax-Free Commuter Benefits
Qualifications:
- Proven ability to organize and analyze large datasets, identify trends, and translate complex analyses into clear business recommendations.
- 2+ years of relevant experience in business intelligence, data analytics, or a related analytical role.
- Strong analytical thinking, business judgment, and problem‑solving skills.
- Experience developing forecasting or analytical models and evaluating their performance over time.
- Advanced proficiency in Microsoft Excel (pivot tables, advanced formulas, lookups, etc.).
- Demonstrated experience independently owning analytical projects and translating findings into measurable business outcomes.
- Experience with Python or other scripting languages is a plus.
- BA/BS degree or equivalent in Statistics, Mathematics, Finance, Economics, BI, CS, Engineering, or a related field; advanced degree is a plus.
- Demonstrated ownership, curiosity, and a continuous improvement mindset.
- Strong SQL skills and experience working with relational databases.
- Experience building dashboards using Tableau, Sigma, Power BI, or similar BI platforms.
- Ability to manage multiple priorities in a fast‑paced, cross‑functional environment while maintaining a high level of attention to detail.
- Experience in digital advertising, marketplace businesses, e-commerce, fintech, or related industries is preferred.
- Excellent written and verbal communication skills, with the ability to present technical concepts to both technical and non-technical audiences.
Data Analyst (Finance) employer: adMarketPlace
Join our dynamic Finance team as a Data Analyst, where you'll play a pivotal role in connecting financial performance with marketplace operations. We offer a collaborative work culture that fosters employee growth through hands-on experience and visibility across various business functions. With comprehensive benefits including wellness programs, a matching 401k, and opportunities for professional development, this position not only promises meaningful work but also a supportive environment to thrive in.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst (Finance)
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We think you need these skills to ace Data Analyst (Finance)
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at adMarketPlace, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at adMarketPlace. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at adMarketPlace
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at adMarketPlace!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
