At a Glance
- Tasks: Validate and reconcile migrated data to ensure accuracy and completeness across systems.
- Company: This role is for a Data Quality Reconciliation Analyst within a project requiring SC clearance.
- Benefits: The position offers a competitive rate of £500 per day, inside IR35.
- Other info: The contract duration is 6 months, fully remote.
- Why this job: Join a remote team focused on achieving 99.9% accuracy in data reconciliation.
- Qualifications: Experience with SQL, data analysis, and data migration validation is essential.
The predicted salary is between 50000 - 50000 £ per year.
The Data Quality Reconciliation Analyst will be responsible for validating and reconciling migrated and integrated data to ensure completeness, consistency, and accuracy across systems.
Key Responsibilities
- Design and execute data validation and reconciliation checks
- Produce reconciliation reporting aligned to 99.9% accuracy targets
- Verify completeness, consistency, and accuracy post-migration
- Analyse reconciliation discrepancies and support issue resolution
- Validate source-to-target data mappings and transformations
- Create audit evidence and reconciliation documentation
- Support migration testing and post-migration assurance activities
Core Skills Experience
- Data reconciliation and validation
- SQL and data analysis
- Data quality assessment and reporting
- Data migration validation
- JSON/XML/CSV data validation
- Testing and defect validation
SC Cleared Data & Reconciliation Analyst employer: TXP Technology x People
This role is part of a critical project requiring SC clearance, ensuring data integrity post-migration. The team focuses on high accuracy targets, providing a dynamic work environment. Enjoy the flexibility of working remotely while contributing to vital data quality initiatives.
StudySmarter Expert Advice🤫
We think this is how you could land SC Cleared Data & Reconciliation 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 TXP Technology x People!
✨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 SC Cleared Data & Reconciliation Analyst at TXP Technology x People.
✨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 TXP Technology x People.
✨Apply Directly through Our Website
When you find a suitable opening like SC Cleared Data & Reconciliation Analyst at TXP Technology x People, 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 SC Cleared Data & Reconciliation 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 TXP Technology x People, 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 TXP Technology x People. 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 TXP Technology x People
✨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 TXP Technology x People!
✨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.
