Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyse data to improve customer and loan processes in a fast-paced environment.
- Company: Dynamic financial services provider focused on data-driven operations.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Why this job: Make a real impact by optimising operations and enhancing customer experiences.
- Qualifications: Experience in data analytics, SQL, and Python or R required.
- Other info: Join a collaborative team that values transparency and continuous improvement.
The predicted salary is between 36000 - 60000 £ per year.
This is an opportunity to join a fast-paced organisation where data drives every operational decision. You will play a key role in improving processes across the customer and loan lifecycle, helping shape how a growing financial services business delivers efficient, customer-centric operations.
The Company
They are a data-led financial services provider focused on delivering a smooth and responsible customer experience. Their Operations function is evolving rapidly, and they are investing heavily in analytics, tooling, and smarter decision-making. You will join a collaborative team that values transparency, continuous improvement, and practical insight. This is an environment where your analytical work directly influences performance and customer outcomes.
The Role
- Analyse large datasets to uncover trends, inefficiencies, and opportunities across operational workflows.
- Develop dashboards and reports to track key performance metrics such as processing times, service levels, staffing efficiency, and customer experience.
- Conduct root cause analysis and present clear, actionable recommendations to non-technical stakeholders.
- Build predictive models for forecasting volumes, capacity planning, and workforce optimisation.
- Partner with Data Engineering to ensure data accessibility, quality, and availability.
- Monitor compliance and flag operational risks based on emerging patterns and anomalies.
- Support the development and maintenance of analytical tools using SQL, Python, and BI platforms.
Your Skills and Experience
- Strong commercial experience in data analytics within an operational or financial services setting.
- Proficiency in SQL and either Python or R, along with experience using data visualisation tools such as Power BI, Tableau, or similar.
- Demonstrated experience improving processes, forecasting performance, or optimising operational workflows.
- Ability to translate complex data into simple insights for senior stakeholders.
- Comfortable working in a fast-paced environment with multiple priorities.
HOW TO APPLY: Apply by sending your CV to Joe by the link below.
Operations Strategy Analyst in Southampton employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Operations Strategy Analyst in Southampton
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to data analytics and operations. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 3
Showcase your skills! Create a portfolio of your analytical projects, dashboards, or reports. This will give potential employers a tangible sense of what you can bring to the table.
✨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 Operations Strategy Analyst in Southampton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Operations Strategy Analyst role. Highlight your experience with data analytics, SQL, and any relevant tools like Power BI or Tableau. We want to see how your skills align with what we're looking for!
Showcase Your Achievements: Don’t just list your responsibilities; show us what you’ve achieved! Use numbers and examples to demonstrate how you've improved processes or optimised workflows in previous roles. This will help us see the impact you can make at StudySmarter.
Keep It Clear and Concise: We love a well-structured application! Keep your language clear and to the point. Avoid jargon unless it’s relevant to the role. Remember, we’re looking for insights that are easy to digest, just like you would present to non-technical stakeholders.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Harnham
✨Know Your Data
Make sure you brush up on your data analytics skills, especially in SQL and Python. Be ready to discuss how you've used these tools in past roles to improve processes or uncover insights. Having specific examples will show that you can hit the ground running.
✨Understand the Business
Familiarise yourself with the financial services industry and the company's operations. Research their approach to customer experience and operational efficiency. This knowledge will help you tailor your answers and demonstrate your genuine interest in the role.
✨Prepare for Scenario Questions
Expect questions that ask you to analyse a dataset or solve a problem on the spot. Practise explaining your thought process clearly and concisely. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.
✨Showcase Your Communication Skills
Since you'll be presenting insights to non-technical stakeholders, it's crucial to demonstrate your ability to simplify complex data. Prepare examples of how you've successfully communicated findings in the past, highlighting your ability to make data accessible and actionable.
