At a Glance
- Tasks: Transform and migrate client data using SQL, MySQL, and Python for seamless data conversions.
- Company: Join Reapit, a leading tech provider for estate agencies with over 25 years of experience.
- Benefits: Enjoy flexible working, competitive salary, 20 days leave plus your birthday off, and great training opportunities.
- Other info: Be part of a collaborative team focused on innovation and continuous improvement.
- Why this job: Make a real impact by delivering accurate data migrations and enhancing customer experiences.
- Qualifications: Strong SQL skills, experience with data migration, and proficiency in Python required.
The predicted salary is between 35000 - 45000 £ per year.
Could you be our next Data Conversion Analyst?
Reapit is the original, end-to-end business technology provider for estate agencies of all sizes.
We’ve been helping sales and lettings agents to build relationships and grow their businesses for more than 25 years.
Our technology connects property professionals in Europe, the Middle East, Australia, and New Zealand with buyers, sellers, tenants and landlords to power the relationships that change lives.
In the United Kingdom and Ireland, Reapit’s market‑leading technology product suite provides estate and lettings agents with powerful tools covering sales, lettings, property management, block management, client accounts and analytics, underpinned by a robust, security infrastructure.
What you’ll be doing
As a Data Conversion Analyst, you will be at the heart of one of Reapit’s greatest strengths: delivering seamless, accurate, and efficient data migrations.
We are passionate about helping customers get the best possible start on the Reapit platform, combining cutting‑edge tools, technical excellence and a customer‑first approach.
You'll work across a diverse portfolio of projects, collaborating with colleagues and clients to ensure every migration is delivered to the highest standard.
- Analyse, transform and migrate client data from multiple third‑party CRM and property software platforms into Reapit.
- Design, develop and maintain data conversion and migration processes using SQL, My SQL, Python.
- Build and optimise ETL/ELT workflows to support efficient, repeatable, scalable data migrations.
- Validate, cleanse, reconcile and enrich data to ensure accuracy and consistency throughout the migration lifecycle.
- Investigate and resolve data quality issues and migration challenges.
- Optimise database queries and scripts, demonstrating a strong understanding of query efficiency and performance tuning.
- Work directly with project managers and clients to understand migration requirements and timelines. Ensure delivery to scope, whilst identifying risk of scope creep.
- Manage large and complex datasets for enterprise customers while maintaining high levels of accuracy and attention to detail.
- Produce migration documentation, data mapping specifications and validation reports.
- Support continuous improvement initiatives by identifying opportunities to enhance migration tooling, automation and processes.
- Who we’re looking for
- Technical Skills
- Strong SQL skills, including complex joins, aggregations, stored procedures and query optimisation.
- Experience with My SQL and relational database design principles.
- Proficiency in Python for data manipulation, transformation, validation and automation.
- Strong understanding of ETL/ELT methodologies and data integration best practices.
- Experience working with large datasets and data migration projects.
- Ability to analyse source system structures and map data effectively into target systems.
- Knowledge of data quality, data governance and validation techniques.
- Understanding of indexing, execution plans and database performance tuning.
- Experience with dbt (Data Build Tool).
- Familiarity with cloud data platforms and modern data warehousing concepts.
- Experience working within Saa S environments.
- Exposure to property technology, CRM systems, or real estate software platforms.
- Exposure to fintech or accounting platforms.
- Harnessing AI in practice for Data Migration.
Experience & Qualifications
- Proven experience in a Data Conversion Analyst, Data Migration Analyst, Data Engineer, or similar role.
- Demonstrable experience delivering end‑to‑end data migration projects.
- Experience working with enterprise‑scale clients and complex business requirements.
- Personal Attributes
- Strong analytical and problem‑solving skills.
- Excellent stakeholder management and communication abilities.
- Ability to work independently and manage multiple migration projects simultaneously.
- Meticulous attention to detail and commitment to data accuracy.
- Comfortable working in a fast‑paced, customer‑focused environment.
- Collaborative mindset with a focus on delivering successful client outcomes.
- What your impact and success looks like
- Accurate and timely delivery of customer data migrations into Reapit.
- High levels of client satisfaction throughout the conversion process.
- Well‑documented, scalable and efficient migration processes.
- Continuous improvements in automation, data quality and migration performance.
- Successful management of complex enterprise customer migrations with minimal disruption to business operations.
- Key contributor to further advancing technology use within the team.
What’s in it for you?
We operate a Flexible Working Policy and we would like for you to work from one of our office locations, 1‑2 days a week.
We’re offering the chance to really make a difference here at Reapit and the opportunity for personal growth is very real.
You’ll feel part of a special team.
- You can expect a highly competitive salary and some great benefits, including:
- 5.5% employer pension contribution
- 20 days annual leave (plus a day for your birthday)
- Business permitting, we’re closed over Christmas, to give you time back to your friends and family
- Formal and in‑house training for your L&D plus access to Go1 – the world’s largest online learning library
- Regular local and company‑wide social events including Tucker Thursday – mouth‑watering cuisine delivered straight to the office doors once a month!
- Opportunity to participate in retail benefits and savings via our Benefits partner, Zest!
- Don't tick all the boxes? Neither do we
We care about our industry and want it to become a more inclusive and diverse place to work.
So, we’re driven by hiring not only by experience and relevance for the role but by sharing our values and the right attitudes and behaviours for success.
We are committed to Equal Employment Opportunity through attracting and retaining a complementary team of employees and building an inclusive environment for all.
We feel we have an empowering environment where everyone is supported and respected, and we want you to feel this too.
We welcome new ideas, thinking and approaches, whilst listening to all our employees.
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Data Conversion Analyst employer: Reapit
Reapit is an exceptional employer that fosters a dynamic and collaborative work culture in the heart of London. With a strong emphasis on employee growth, we offer formal training opportunities and a flexible working policy, ensuring a healthy work-life balance. Our commitment to employee well-being is reflected in our generous benefits package, including 22 days of annual leave plus your birthday off, alongside engaging social events that make for a rewarding workplace experience.
StudySmarter Expert Advice🤫
We think this is how you could land Data Conversion Analyst
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We think you need these skills to ace Data Conversion 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!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Reapit. 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 Reapit
✨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!
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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 Reapit!
✨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.