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For Companies At a Glance
- Tasks: Support data operations, improve processes, and ensure data quality in a fast-paced environment.
- Company: Join a dynamic team focused on data excellence and operational efficiency.
- Benefits: Competitive pay, hybrid work model, and opportunities for professional growth.
- Other info: Exciting role with potential for career advancement in data analytics.
- Why this job: Make a real impact by enhancing data processes and driving efficiency.
- Qualifications: Strong SQL skills, experience with reporting tools, and attention to detail.
The predicted salary is between 130000 - 130000 £ per year.
We are seeking an experienced Data Analytics & Operations Specialist to support a fast-paced data operations environment. This role combines hands-on operational support with process documentation and improvement, helping ensure smooth daily performance while identifying opportunities to enhance efficiency, quality, and risk management.
Key Responsibilities
- Operational Support
- Support product onboarding, client setup, and program changes across test and production environments
- Maintain and update static data for customer and program configurations
- Support reporting processes, including data feeds and delivery schedules
- Perform data quality checks and ensure accuracy across systems
- Investigate and resolve data-related issues with internal teams and stakeholders
- Manage incidents and change requests using tools such as Jira or similar
- Monitor ETL processes to ensure timely and accurate data processing
- Support production changes, including data fixes and issue resolution
- Document end-to-end processes and workflows
- Identify risks, control gaps, and inefficiencies
- Recommend practical improvements, including automation and standardisation
- Help improve scalability, quality, and operational resilience
Deliverables
- Clear documentation of data operations processes
- Identification of automation opportunities
- Risk and control documentation with defined ownership
- A prioritised list of improvement recommendations
Skills & Experience
- Strong experience with SQL, databases, and ETL processes
- Experience with reporting tools such as Power BI, Databricks, OBIEE, or similar
- Background in data validation, quality control, and data cleansing
- Ability to work in a fast-paced environment with high attention to detail
- Strong communication and stakeholder management skills
Circa £500 per day outside IR35
Hybrid - Cambridgeshire
Senior Data Analyst in Southampton employer: iDPP
Contact Detail:
iDPP Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst in Southampton
✨Tip Number 1
Network like a pro! Reach out to your connections in the data analytics field and let them know you're on the hunt for a Senior Data Analyst role. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Get your hands dirty with practical projects. Whether it's through personal projects or contributing to open-source, showcasing your SQL skills and experience with reporting tools can really set you apart. Plus, it gives you something tangible to discuss in interviews!
✨Tip Number 3
Prepare for those interviews by brushing up on common data-related scenarios. Think about how you've handled data quality checks or resolved issues in the past. We want to hear your stories that highlight your problem-solving skills and attention to detail!
✨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 and engaged with our platform.
We think you need these skills to ace Senior Data Analyst in Southampton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Analyst role. Highlight your experience with SQL, ETL processes, and any reporting tools you've used. We want to see how your skills match what we're looking for!
Showcase Your Achievements: Don’t just list your responsibilities; showcase your achievements! Use specific examples of how you’ve improved processes or resolved data-related issues in previous roles. This helps us see the impact you can bring to our team.
Be Clear and Concise: When writing your application, be clear and concise. We appreciate straightforward communication, so avoid jargon and keep your sentences to the point. This will help us understand your qualifications quickly!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at iDPP
✨Know Your SQL Inside Out
As a Senior Data Analyst, you'll need to showcase your SQL skills. Brush up on complex queries, joins, and data manipulation techniques. Be ready to discuss how you've used SQL in past projects to solve real-world problems.
✨Demonstrate Your Problem-Solving Skills
Prepare examples of how you've tackled data-related issues in previous roles. Think about specific incidents where you identified inefficiencies or quality control gaps and how you resolved them. This will show your analytical mindset and operational support capabilities.
✨Familiarise Yourself with Reporting Tools
Since the role involves tools like Power BI and Databricks, make sure you can talk confidently about your experience with these platforms. If possible, bring along examples of reports or dashboards you've created to illustrate your expertise.
✨Highlight Your Process Improvement Experience
Be prepared to discuss how you've documented processes and identified opportunities for automation or standardisation. Share specific recommendations you've made in the past that led to improved efficiency or risk management, as this aligns perfectly with the job's focus.