At a Glance
- Tasks: Analyse data and collaborate with teams to deliver impactful data-driven solutions.
- Company: Join a forward-thinking company focused on data engagement and innovation.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Work in an agile setting with excellent career advancement potential.
- Why this job: Make a difference by transforming data into actionable insights in a dynamic environment.
- Qualifications: Experience in data analysis, mapping, and strong SQL skills required.
The predicted salary is between 50000 - 65000 £ per year.
We are looking for a Senior Associate – Business Analyst with strong experience in data engagement programmes. The role focuses on data analysis, data migration, and data mapping activities, working closely with business and technical teams to deliver data-driven solutions.
Key Responsibilities
- Understand and translate business requirements into data mapping specifications and functional designs
- Perform data analysis to identify data quality issues, gaps, and transformation needs
- Support data migration initiatives, including data profiling, cleansing, validation, and reconciliation
- Develop and maintain data mapping documents across source and target systems
- Collaborate with stakeholders to ensure alignment between business requirements and data solutions
- Support validation of migrated data
- Work closely with data engineers, architects, and SMEs on data pipelines and transformation logic
- Ensure proper documentation of data flows, processes, and business rules
Required Skills & Experience
- Strong experience as a Business Analyst in data-focused programmes
- Hands-on experience in data analysis, data mapping and transformation exercises
- Strong SQL skills for querying and validating data
- Good understanding of ETL/data processing concepts
- Ability to interpret business needs and translate into technical/data requirements
- Experience working in agile or hybrid delivery models
Senior Associate – Business Analyst (Data Engagement) in London employer: Cognizant
Cognizant is an excellent employer, offering a dynamic work culture that fosters innovation and collaboration within the UK Public Sector. Employees benefit from comprehensive growth opportunities, including training in cutting-edge AI technologies, while contributing to meaningful projects that impact government services. With a commitment to quality and excellence, Cognizant provides a supportive environment where your contributions are valued and recognised.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Associate – Business Analyst (Data Engagement) in London
✨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 Cognizant.
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We think you need these skills to ace Senior Associate – Business Analyst (Data Engagement) in London
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 Cognizant, 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 Cognizant. 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 Cognizant
✨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 Cognizant!
✨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.
