At a Glance
- Tasks: Analyse financial data and create insightful reports to support business decisions.
- Company: Dynamic e-commerce company based in Chertsey, Surrey.
- Benefits: Competitive day rate, flexible working, and opportunities for professional growth.
- Other info: Collaborative team culture with a focus on innovation and efficiency.
- Why this job: Join a fast-paced environment and make an impact with your analytical skills.
- Qualifications: Experience in finance, advanced Excel skills, and a passion for data analysis.
Finance Data Analyst - Day Rate Contract Inside IR35, 3 days per week in the office, Chertsey Surrey.
Key Skills:
- Advanced Excel - Pivot Tables, Vlookups, Formula etc.
- Profit and Loss
- Customer segmentation Analysis
Responsibilities:
- Understand the brief, report framework and metrics.
- Update the report, gather insights and issue within the agreed SLA’s.
- Support Innovation Business Cases.
- Production of Level Up Deep Dive Analysis: Understand the brief and reporting framework. Run the analysis and gather insights for Channel PIC’s in line with agreed SLA’s.
- Always on Proposition: Understand brief and proposed report framework, deliver and maintain report in line with current business requirements and ensure delivery in line with SLA Delivery and Service Proposition.
- Working with PIC, understand brief, identify data, agreed metrics, KPI’s and frequency and report framework. Ensure delivery in line with agreed SLA’s.
- SKU Rationalisation and Range Management. Ensure the delivery of the reports in line with the agreed SLA.
- Monitor/review report framework and data to ensure fit for purpose.
- Gather insight for weekly/monthly reporting.
- Support multiple channels: D2C, EPP, SMB, Shop APP and ePromoter with reporting requirements.
- Recommend ways to optimise report production to speed up production and efficiency.
- Provide training and guidance to help team engage with reports effectively.
What we need for this role:
- Experience within e-commerce.
- Accounting based financial modelling/scenario modelling (must have).
- Accountant/analytics/numbers background.
- Experience in working with digital data such as traffic, conversion, bounce rates etc.
- Evidence of using digital tools to analyse data.
- Passion for metrics, strong analytical skills and the ability to get into the details, whilst also seeing and understanding the big picture.
- Technical Skills with analytical tools: SQL, Looker, Advanced Excel (Power Pivot, formulae and Pivot Tables), QLIK or similar tool, ability to create new reports within the tool, PowerPoint.
- Able to prioritise deliverables and partners.
- Ability to problem solve and take ownership of a project.
- Good presentation skills and both verbal/written communication.
- High attention to detail.
- Able to work with accuracy in a fast-paced and dynamic environment.
Finance Data Analyst - Contract in Chertsey employer: Bodhi
Bodhi is an exceptional employer that fosters a vibrant and creative work culture in the heart of Central London, where employees are encouraged to innovate and grow. With a focus on luxury interiors, the company offers competitive salaries, comprehensive benefits, and ample opportunities for professional development, making it an ideal place for those looking to make a meaningful impact in the marketing field.
StudySmarter Expert Advice🤫
We think this is how you could land Finance Data Analyst - Contract in Chertsey
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We think you need these skills to ace Finance Data Analyst - Contract in Chertsey
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!
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Craft a Tailored Cover Letter:For a full-time role at Bodhi, 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 Bodhi. 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 Bodhi
✨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!
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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 Bodhi!
✨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.
