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For Companies At a Glance
- Tasks: Analyse and manage data to support business needs and ensure accuracy.
- Company: Join a forward-thinking company focused on data-driven solutions.
- Benefits: Attractive salary, flexible working options, and opportunities for growth.
- Why this job: Be at the forefront of data management and make a real difference.
- Qualifications: Experience in data analysis, SQL, and Python is essential.
- Other info: Collaborative environment with a focus on innovation and problem-solving.
The predicted salary is between 36000 - 60000 £ per year.
Perform data analysis to support business and operational requirements. Manage end-to-end data processing, including data extraction, transformation, validation, and reconciliation. Conduct data quality checks, identify discrepancies, and perform root-cause analysis and troubleshooting. Gather business and technical requirements and support implementation activities. Execute and support User Acceptance Testing (UAT) and production validation. Manage Service Level Agreements (SLA) and respond to data-related queries from end users in a timely manner. Monitor data pipelines and operational processes to ensure data accuracy and reliability. Prepare and maintain technical and functional documentation, including specifications and process guides. Collaborate with internal stakeholders to ensure smooth data operations and issue resolution.
Requirements
- Minimum 2 years of experience in data analysis or data operations support; candidates with 4–8 years of experience are preferred.
- Strong proficiency in SQL and Python for data querying, analysis, and automation.
- Hands-on experience with enterprise databases such as MS SQL, Snowflake, Redshift, and PostgreSQL.
- Experience with data integration tools, e.g. Informatica or equivalent ETL platforms.
- Proven experience in data reconciliation, data quality checks, and end-to-end data processing.
- Experience in performing and supporting UAT activities.
- Familiarity with finance domain data and financial reporting processes is an advantage.
- Strong problem-solving skills with logical and analytical thinking.
- Good communication skills and ability to manage user queries and operational support requests.
Data Management Analyst/Engineer in Penarth employer: ELLIOTT MOSS CONSULTING PTE. LTD.
Contact Detail:
ELLIOTT MOSS CONSULTING PTE. LTD. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Management Analyst/Engineer in Penarth
✨Tip Number 1
Network like a pro! Reach out to your connections in the data field, attend meetups, and join online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving SQL and Python. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data-related questions and scenarios. Practice explaining your past experiences with data quality checks and UAT activities, as these are key areas for the role.
✨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 take that extra step to connect with us directly.
We think you need these skills to ace Data Management Analyst/Engineer in Penarth
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Management Analyst/Engineer role. Highlight your experience with SQL, Python, and any relevant data integration tools. We want to see how your skills match what we're looking for!
Showcase Your Experience: When writing your application, don’t just list your previous jobs. Instead, showcase specific projects or tasks where you performed data analysis, managed data processing, or conducted UAT. This helps us see your hands-on experience in action.
Be Clear and Concise: Keep your application clear and to the point. Use bullet points for easy reading and make sure to address all the key requirements mentioned in the job description. We appreciate straightforward communication!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at ELLIOTT MOSS CONSULTING PTE. LTD.
✨Know Your Data Tools
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used these tools in past projects, especially for data extraction and analysis. Having specific examples will show that you can hit the ground running.
✨Understand the Business Context
Familiarise yourself with the finance domain and any relevant reporting processes. This knowledge will help you connect your technical skills to the business needs during the interview, demonstrating that you understand how data impacts decision-making.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities. Think of scenarios where you've identified discrepancies or performed root-cause analysis. Be ready to walk through your thought process and the steps you took to resolve issues.
✨Show Your Collaborative Spirit
Collaboration is key in this role, so be prepared to discuss how you've worked with internal stakeholders in the past. Highlight any experiences where you managed user queries or supported UAT activities, showcasing your communication skills and teamwork.
