At a Glance
- Tasks: Own key financial metrics and ensure seamless data flow for impactful reporting.
- Company: Join Wise, a revolutionary team transforming the way money moves globally.
- Benefits: Generous stock options, flexible working, and a clear path for career growth.
- Other info: Enjoy a hybrid work model and a paid sabbatical after four years.
- Why this job: Make a real difference in finance reporting while mastering cutting-edge tools.
- Qualifications: Strong SQL skills and a solid understanding of financial concepts required.
The predicted salary is between 50000 - 65000 £ per year.
Responsibilities
- Metric Ownership & Data Logic: Define and own the logic for key performance metrics, ensuring clear attribution for every line item in financial statements. Manage orchestration and validation of end-to-end data pipelines.
- System & Ledger Integration: Ensure seamless data flow between internal data lakes and reporting tools such as Anaplan and Planful, mapping data from internal systems to the General Ledger.
- Audit Data Architecture: Serve as the primary bridge for auditors by structuring complex data extracts and building the source-of-truth queries that demonstrate financial integrity.
- Stakeholder Partnership: Work closely with Finance leadership to provide structured reporting that maintains consistency across Wise’s financial disclosures.
Qualifications
- Data Mastery: Strong quantitative foundation and ability to navigate massive, complex datasets; proficient in writing optimized SQL queries. Exposure to Dbt, Python, Airflow, or BI tools is a plus.
- Foundational Finance Literacy: Comfortable with basic financial concepts, understanding the 'why' behind a Balance Sheet and P&L, and how transactions affect the ledger.
- Technical Agility: Quick learner of tools, adept at mastering internal platforms and systems such as Anaplan or Planful to improve data quality.
- The 'Find a Way' Mindset: Proactive individual who identifies gaps in reporting efficiency and builds solutions without waiting for tickets.
Benefits
- A seat at the revolution: Part of a team changing how the world moves money.
- Ownership: Freedom to choose tools and processes that best solve problems.
- Growth: Clear Analytics Career Map, progression path, and budget for self‑development.
- Wiser Benefits: Generous stock options (RSUs) in a growing public company.
- Flexible working model (Office/Home hybrid).
- Paid 6‑week sabbatical after 4 years of service.
- Annual development budget and 'Me-days.'
Visa & Working Eligibility
Please note that Wise does not provide visa sponsorship for this role. Applicants must have the right to work in the UK.
Senior Data Analyst - Finance Reporting in London employer: Dangote Industries Limited
Wise is an exceptional employer that empowers its employees to take ownership of their work while being part of a transformative team in the finance sector. With a strong focus on professional growth, employees benefit from a clear career progression path, generous stock options, and a flexible working model that promotes work-life balance. The collaborative culture fosters innovation and encourages proactive problem-solving, making it an ideal environment for those looking to make a meaningful impact.
Contact Details:
Dangote Industries Limited Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst - Finance Reporting in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Dangote Industries Limited!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Analyst - Finance Reporting at Dangote Industries Limited.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Dangote Industries Limited.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Analyst - Finance Reporting at Dangote Industries Limited, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Analyst - Finance Reporting in London
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 Dangote Industries Limited, 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 Dangote Industries Limited. 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 Dangote Industries Limited
✨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 Dangote Industries Limited!
✨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.
