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For Companies At a Glance
- Tasks: Join our team to gather requirements, analyse data, and design innovative BI solutions.
- Company: Cognizant, a leader in Intelligent Process Automation with a collaborative culture.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Exciting career development opportunities and a chance to work with cutting-edge technologies.
- Why this job: Make an impact by transforming data into actionable insights in a dynamic environment.
- Qualifications: Experience in data engineering, SQL, Python, and strong communication skills required.
The predicted salary is between 50000 - 65000 £ per year.
Excellent opportunity for Data Engineers 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.
Key Responsibilities
- Gather business requirements, perform detailed analysis, and produce associated functional specifications across multiple functions.
- Architect, design, cost and plan solutions that will support delivery teams as those solutions are implemented into live services.
- Writing SQL or Python/R scripts to analyse data.
- Develop Subject Matter Expertise on the key data elements.
- Responsible for liaising between business users and technologists to exchange information in a concise, logical and understandable way in co-ordination with the Technology team.
- Ensuring proper development life cycle is followed with artefacts to support Internal Audit and any inquiries.
- Consult with users and clients to solve complex system issues/problems through in-depth evaluation of business processes, systems and industry standards and recommends solutions.
- Support systems change processes from requirements through implementation and provide input based on analysis of information.
- Consult with business clients to determine system functional specifications and provides user and operational support.
- Identify and communicate risks and impacts, considering business implications of the application of technology to the current business environment.
- Has the ability to operate with a limited level of direct supervision.
- Demonstrated ability to work under pressure to meet tight deadlines and approach work methodically with attention to detail.
- Work with Data Governance and Quality teams to understand data issues.
- Work with various technology leads to ensure the gaps in the data completeness or accuracy are converted into prioritized Book of Work items.
- Provide regular updates to senior management in technology, middle office & front office.
- Training of relevant teams prior to go-live of new business processes/products, functionality or applications.
- Go-live support, investigation of issues.
Essential Experience
- Providing database engineering and data delivery to support during application development, working closely with application teams.
- Data Engineering to ingest, cleanse and collate data from a wide range of internal and external sources.
- Creation of reconciliations of data sets.
- Building analytical models to support reporting and analytics.
- Creation of reports and analytics.
- Experience facilitating workshops and discussions to effectively gather requirements and understand the client’s business challenges.
- Able to produce proposed implementation plans for data analysis work, including estimated effort and technical implications of data insight products.
- Able to review and comment on data models – for example pointing out why models are defective and suggesting improvements.
- Clear written and verbal communications; able to communicate with a wide range of people.
- Strong leadership, analytical and communication skills with a passion for data-driven decision making and for establishing best practice.
- Line management experience - able to give feedback and mentor more junior colleagues.
Qualifications
- Experience working with Azure, AWS or Google Cloud.
- Experienced in IT architecture and software development lifecycles.
- Experienced with structured and unstructured data.
- Experience in combining qualitative and quantitative datasets.
- Experienced in either programming languages such as Python and/or R, data visualization tools such as Tableau.
- Experience working with large datasets.
- Experience in creation of B/FRDs – Good documentation and communication with the technology team both to provide requirements and understanding of any issues is paramount.
- Relevant experience in data-related topics - data warehousing, data governance, data quality, data profiling, master data management, ETL etc.
- Data modelling, from contextual through to logical and physical modelling skills.
- Very strong Excel, SQL, Python, JIRA skills.
- Excellent communication skills, structured and organized.
- Excellent stakeholder and management reporting skills.
- Experience with project planning and tracking, including agile software i.e. JIRA.
BI Developer employer: Cognizant
Contact Detail:
Cognizant Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land BI Developer
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and join relevant online forums. The more people you know, the better your chances of landing that BI Developer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, SQL scripts, or any analytical models you've built. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex data concepts in simple terms, as you'll need to liaise with both techies and business users.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace BI Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the BI Developer role. Highlight your experience with SQL, Python, and data engineering. We want to see how your skills match the job description, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data and how your background makes you a perfect fit for our team. Keep it concise but engaging – we love a good story!
Showcase Your Communication Skills: Since the role involves liaising between business users and technologists, make sure to demonstrate your communication skills in your application. Use clear and logical language to convey your ideas, just like you would in the workplace.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Cognizant
✨Know Your Data Inside Out
As a BI Developer, you'll be working with data all day long. Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used these tools in past projects, and think of specific examples where you’ve solved complex data issues.
✨Understand the Business Context
It's crucial to understand how your role fits into the bigger picture. Research Cognizant’s Intelligent Process Automation practice and think about how your skills can help them achieve their goals. Be prepared to discuss how you would gather business requirements and liaise between users and technologists.
✨Showcase Your Problem-Solving Skills
During the interview, expect to face some scenario-based questions. Think about how you would approach solving complex system issues or improving data quality. Use the STAR method (Situation, Task, Action, Result) to structure your answers and demonstrate your analytical thinking.
✨Communicate Clearly and Confidently
Strong communication skills are key for this role. Practice explaining technical concepts in simple terms, as you’ll need to liaise with various stakeholders. During the interview, make sure to articulate your thoughts clearly and ask clarifying questions if needed to show your engagement.