At a Glance
- Tasks: Analyse data, deliver reports, and develop data-driven solutions with cross-functional teams.
- Company: Join Cognizant’s Intelligent Process Automation practice in a dynamic London office.
- Benefits: Competitive salary, professional development, and a chance to work with cutting-edge technologies.
- Other info: Great opportunity for career growth in a collaborative environment.
- Why this job: Make an impact by driving process improvements and enhancing data quality.
- Qualifications: Experience in data analysis, SQL, and strong problem-solving skills required.
The predicted salary is between 40000 - 50000 £ per year.
Excellent opportunity for Data Analysts to be part of Cognizant’s Intelligent Process Automation practice. It combines advisory services with deep vendor partnerships and integrated solutions to create and execute strategic roadmaps. Role requires 5 days working from office (client site in London).
Job responsibilities
- Partner with cross-functional teams to gather requirements, analyze data, deliver accurate reports and develop data-driven solutions that meet those needs.
- Apply domain modelling techniques to design and develop top-tier business products using industry best practices to ensure high data quality and minimize redundancy.
- Maintain data accuracy, integrity, and consistency across all data layers.
- Drive process improvements and automation initiatives to boost reporting efficiency and data quality.
- Work with internal teams to resolve data issues and discrepancies in reporting.
- Communicate findings and insights to stakeholders using clear and effective visualizations and summaries.
- Assist product teams in extracting and analyzing data for functional testing and data investigations.
- Contribute to data governance and compliance efforts to ensure adherence to standards and regulations.
- Deliver end-to-end reporting solutions on cloud infrastructure leveraging the latest technologies and the best industry practices.
Required qualifications, capabilities & skills
- Formal training or certification on data engineering concepts and applied experience.
- Recent hands-on professional experience in a reporting, data analysis or business intelligence role.
- Experience in database querying techniques and SQL.
- Understanding of how to manage and optimize queries for large volumes of data within different kinds of data stores (including relational data stores).
- Experience in designing and implementing effective tests (unit, component, integration, end-to-end, performance, etc.).
- Experience in working with technical data formats (JSON / Avro / Parquet).
- Strong analytical and problem-solving skills.
- Experience in explaining and converting complex concepts into digestible information to be consumed by both technical and business stakeholders.
- Attention to detail and commitment to maintaining data quality.
- Excellent written and verbal communication skills in English.
Preferred qualifications, capabilities & skills
- Experience in working in a highly regulated environment / industry.
- Understanding of data warehousing concepts and ETL processes.
- Understanding of event-based architecture, data streaming and messaging frameworks.
- Experience in data analysis using Python programming language.
- Understanding of data governance frameworks.
- Understanding of AWS cloud technologies.
Data Analyst/Engineers in London employer: Cognizant
Cognizant is an exceptional employer that fosters a collaborative and innovative work culture, particularly for Data Analysts in our London office. We offer comprehensive training and development opportunities, ensuring that our employees grow alongside the latest industry advancements while working on impactful projects that drive efficiency and data quality. With a commitment to diversity and inclusion, as well as a focus on employee well-being, Cognizant provides a supportive environment where your contributions are valued and recognised.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst/Engineers in London
✨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 Cognizant!
✨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 Data Analyst/Engineers at Cognizant.
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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.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst/Engineers at Cognizant, 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 Data Analyst/Engineers 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.
