At a Glance
- Tasks: Lead data management activities and solve complex data queries for client migrations.
- Company: Join Target Group, a leader in transforming customer experiences through innovative technology.
- Benefits: Enjoy 30 days holiday, private medical insurance, and ongoing career development.
- Other info: Embrace a dynamic work culture that values individuality and offers excellent growth opportunities.
- Why this job: Make a real impact while collaborating with a supportive and inclusive team.
- Qualifications: Strong SQL and Python skills, with experience in data analysis and cloud platforms.
The predicted salary is between 40500 - 49500 £ per year.
- Description
- Senior Data Analyst
Location
Remote or Hybrid (Cardiff)
Salary
| Contract
Permanent
Join Target Group as a Senior Data Analyst and play a central role in protecting data quality across day-to-day services and client migrations.
You will connect business and technical teams, turning complex data issues into clear, practical solutions and helping stakeholders make informed decisions throughout the migration lifecycle.
This is an opportunity to combine hands-on analysis with visible leadership, advising colleagues and clients from early requirements through dress rehearsals and go-live activity.
You are likely to enjoy the role if you are naturally inquisitive, comfortable exploring detail and confident explaining technical findings in plain English.
You will join an experienced, supportive Data team where collaboration, continuous improvement and professional growth are valued.
How you will contribute
- Lead the day-to-day delivery of Data Management activities, maintaining data and system integrity while managing risks and issues effectively.
- Analyse and resolve complex data queries across existing portfolios and new client migrations, communicating findings clearly to business and technical audiences.
- Guide projects through the migration lifecycle, from refining requirements and implementation planning to dress rehearsals and go-live activity.
- Reconcile, profile and validate data during onboarding, ensuring stakeholders understand findings that could affect migration or ongoing servicing.
- Collaborate with clients, project managers and internal teams as the servicing data expert, contributing to workshops, meetings and bid responses.
- Improve data-quality tools, reporting and controls to identify issues and strengthen processes.
- Develop reliable automated solutions that reduce manual effort, processing time, errors and operational risk.
Requirements
What we're looking for
- Strong practical SQL experience analysing, profiling, reconciling and validating complex data from multiple sources.
- Experience using Python to analyse data, automate repeatable processes and create reusable data-quality and reconciliation controls.
- Experience with Microsoft Fabric or an equivalent cloud data platform, including data pipelines, analytical datasets, notebooks and reporting solutions.
- Power BI experience, including Power Query, data modelling, KPI development and DAX.
- Proven analytical and problem-solving ability, including trend, variance, anomaly and root-cause analysis.
- Ability to translate business requirements into scalable analytical solutions and explain complex issues to technical, business and senior stakeholders.
- Knowledge and experience with Centrac is desirable
Benefits
At Target Group, we transform customer experiences through innovative technology, trusted expertise and exceptional service.
Together, we help financial services organisations deliver better outcomes for their customers and communities.
Why join us?
- Meaningful work with opportunities to make a real impact for our clients and customers
- A supportive and inclusive culture where individuality is valued
- Ongoing learning, development and career progression opportunities
- Regular feedback, recognition and support to help you succeed
We are passionate about our colleagues and offer industry leading benefits....
- 30 days holiday entitlement plus bank holidays (From Day 1)
- Defined Pension Contribution Scheme (Employer matched up to 6%). Plus, option to contribute via Salary Exchange (alternatively known as Salary Sacrifice)
- Employee Discount Scheme, access to discounts and offers across 100s of leading retailers. Plus, cashback on purchases
- Company Paid Private Medical Insurance (benefit in kind)
- Group Life Assurance
- Group Income Protection
- Discretionary Annual Pay Review
- Discretionary Annual Bonus Scheme
- Loyal Service Scheme - rewarding your commitment with financial recognition, additional holidays, and matched pension contributions of up to 10% at key service milestones.
- Free Flu Vaccinations, Eye Tests and employer contribution towards glasses
- Recognition Scheme
- Free Mortgage Advice and Support
- Wisdom Wellbeing, your go to for wellbeing resources and solutions to include an Employee Assistance Program
- Everest Funeral Concierge
- Free Bereavement and Probate Advice and Support
- Access to a GP 24 hours a day, 7 days a week, 365 days a year through GP24
- Paid eye tests and employer contribution towards spectacles specifically for VDU use.
- Enhanced parental leave
You can also select other benefits, we cover the upfront cost and make monthly deductions from your pay, interest free!
- Technology Buying Scheme
- Discounted Gym Memberships
- Taste Card / Coffee Club Membership
- Charitable Payroll Giving
- Cycle to work Scheme (Salary Sacrifice)
Target Group warmly welcomes applications from people of all backgrounds, experiences and perspectives.
We’re committed to creating a Diverse & Inclusive culture through the execution of our D&I strategy, community relationships, our people & leaders.
Senior Data Analyst employer: Target
At Target Group, we pride ourselves on fostering a dynamic and inclusive work culture that prioritises innovation and employee growth. As a remote Analyst/Programmer, you'll enjoy the flexibility of working from home while having the opportunity to collaborate with talented professionals in our Cardiff or Newport offices when needed. We offer competitive salaries, generous holiday allowances, and a commitment to your professional development, making us an excellent employer for those looking to make a meaningful impact in the Financial Services and Technology sectors.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst
✨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 Target!
✨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 at Target.
✨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 Target.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Analyst at Target, 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
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 Target, 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 Target. 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 Target
✨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 Target!
✨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.
