At a Glance
- Tasks: Drive data-driven decisions and optimise operations in FinCrime teams.
- Company: Join a mission-driven company focused on Money Without Borders.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic role with excellent career advancement potential.
- Why this job: Make a real impact by transforming data insights into actionable change.
- Qualifications: Experience in data analysis and strong collaboration skills required.
The predicted salary is between 60000 - 80000 £ per year.
We’re looking for a Lead Data Analyst who is passionate about our mission of Money Without Borders to partner with our operational teams to help drive data-driven decisions that would support our fast-growing product through scaling and optimising the team. As a Lead Data Analyst, you'll be driving our analytics efforts in our operations teams, who do everything from supporting our customers when they need help, to screening for criminal activity, to verifying customer identities at scale. Most importantly, you’ll collaborate closely with your operational leads, product managers, designers and engineers to bring your insights into real change for our customers and help drive our mission!
Here’s how you’ll be contributing:
- Analytical Capacity Planning and Forecasting. Focus on building and refining analytical models for strategic capacity planning. Take ownership of forecasting efforts to align with business growth and operational demands.
- Data Pipeline Ownership. Take ownership of data pipelines to maintain and improve data flow, ensuring reliability and accuracy.
- Predictive Modeling and Cause and Effect Analysis. Develop and implement robust models to predict outcomes and perform cause and effect analysis to identify key drivers, optimise processes, and enhance decision-making and strategic planning.
- Strategic Support and Analysis. Provide critical insights to assess the operational health of FinCrime function, conduct in-depth cost analysis, and offer detailed analysis of operational metrics (including quality) to understand impacts on customer experiences.
- Performance Tracking and Initiative Optimisation. Monitor and track the performance of key strategic initiatives, capitalising on optimisation opportunities to enhance operational outcomes.
- KPI Implementation and Target Setting. Lead the development and implementation of the operations KPI tree and the target-setting framework, integrating these within reporting pipelines and strategic operations.
- Stakeholder Collaboration and Process Standardisation. Collaborate closely with various stakeholders to standardise processes across forecasting, scheduling, and real-time operations, promoting continuous improvement and strategic alignment.
Lead Data Analyst - FinCrime Operations in City of Westminster employer: jobr.pro
As a Lead Data Analyst at our company, you will thrive in a dynamic and innovative environment that champions data-driven decision-making to support our mission of Money Without Borders. We offer a collaborative work culture where your insights directly influence operational strategies, alongside ample opportunities for professional growth and development. Located in a vibrant area, our workplace fosters creativity and teamwork, making it an excellent choice for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Analyst - FinCrime Operations in City of Westminster
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We think you need these skills to ace Lead Data Analyst - FinCrime Operations in City of Westminster
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 jobr.pro, 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 jobr.pro. 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 jobr.pro
✨Brush Up on Your Statistics
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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
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✨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.
