At a Glance
- Tasks: Analyse and redesign data processes for migration to scalable products.
- Company: Global recruitment specialist with a focus on innovative data solutions.
- Benefits: Competitive pay rate, flexible onsite work, and opportunities for professional growth.
- Other info: Fast-paced environment with potential for career advancement.
- Why this job: Join a dynamic team and shape the future of data analytics in a global context.
- Qualifications: Experience in data engineering, AWS, and business analysis required.
The predicted salary is between 63000 - 77000 £ per year.
We are a Global Recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you.
- Role Title: Technical Business Analyst
- Pay Rate: £375 per day all inc. (PAYE through Umbrella)
Role Description
- The primary objective of the Programme is to establish a clear path for migrating Fraud Analytics and Strategy capabilities from Teradata by defining, redesigning, and delivering scalable data products.
The expected scope includes
- Analyse existing business-owned Teradata databases and SAS-based processes to understand current usage patterns and dependencies.
- Assess existing data assets and identify equivalent or alternative capabilities within the Enterprise Data Platform (EDP).
- Work with business, architecture, and data teams to map current-state capabilities to future-state data products.
- Define business requirements, use cases, and dependency mappings required for platform migration.
- Redesign existing output tables, processes, and data flows into Business Data Products (BDPs) and Foundational Data Products (FDPs).
- Develop and implement new enterprise and business data products to support migration from legacy platforms.
- Design and build scalable AWS-based data pipelines and data products.
- Ensure alignment with enterprise architecture, security, governance, lineage, and data management standards.
- Support downstream consumers, including Fraud Analytics teams, during migration and adoption.
Expected capabilities may include
- Data product design and delivery
- AWS data engineering (Glue, DBT, Databricks, etc.)
- Data pipeline design, build, and testing
- Teradata and Hadoop migration expertise
- Data modelling and business data product design
- Data governance, lineage, and metadata management
- Enterprise architecture and security alignment
- End-to-end delivery from design through production deployment
If you are interested in this position and would like to learn more, please send through your CV and we will get in touch with you as soon as possible.
Please note, candidates are often Shortlisted within 48 hours.
Technical Business Analyst in Kettering employer: eTeam
As a Global Recruitment specialist, we pride ourselves on fostering a collaborative and innovative work culture in Manchester, where our Service Designers can thrive. With a focus on employee growth, we offer opportunities for professional development and the chance to work on impactful projects across diverse regions. Our commitment to work-life balance, with a flexible onsite schedule, ensures that our team members can excel both personally and professionally.
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We think this is how you could land Technical Business Analyst in Kettering
✨Get Involved in Data Science Meetups
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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 eTeam.
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We think you need these skills to ace Technical Business Analyst in Kettering
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 eTeam, 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 eTeam. 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 eTeam
✨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 eTeam!
✨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.
