At a Glance
- Tasks: Transform complex data into actionable insights for informed business decisions.
- Company: Join Cognizant Consulting, a global community of 5,000+ experts.
- Benefits: Private medical insurance, generous holidays, and professional development opportunities.
- Other info: Flexible hybrid work model and excellent career growth opportunities.
- Why this job: Make a real impact by solving complex business challenges with data.
- Qualifications: 3+ years as a Data Analyst with strong SQL and dashboard development skills.
The predicted salary is between 40000 - 50000 £ per year.
- Senior Consultant, Data Analyst
- About Cognizant Consulting
Cognizant Consulting is more than Cognizant’s consulting practice—we’re a global community of 5,000+ experts dedicated to helping clients reimagine their business.
Blending our deep industry and technology advisory capability, we create innovative business solutions for Fortune 500 clients.
And now, we’re looking for our next colleague who’ll join us in shaping the future of business.
Could it be you?
About the Role
- As a
- Data Analyst
, you will make an impact by transforming complex data into actionable insights that help clients make informed business decisions and achieve strategic objectives.
You will be a valued member of the
Data & Analytics Consulting team and will work collaboratively with clients, consulting colleagues, business stakeholders, and technical delivery teams to solve complex business challenges through data-driven decision making.
In This Role, You Will
- Translate complex datasets and analytical findings into clear, compelling stories and recommendations for business and technical stakeholders.
- Gather, cleanse, validate, and analyse large and complex datasets to identify trends, opportunities, risks, and actionable insights.
- Design and develop dashboards, reports, and visualisations using tools such as Power BI, Tableau, or similar platforms.
- Facilitate client workshops to define reporting requirements, business problems, and data-driven solutions.
- Contribute to the growth of the Data & Analytics practice through thought leadership, proposition development, knowledge sharing, community initiatives, and sales support activities.
- Work Model
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position based in London, United Kingdom
- , requiring attendance at a Cognizant or client office
- 3 days per week
. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting.
This may change based on the project you’re engaged in, as well as business and client requirements.
Rest assured; we will always be clear about role expectations.
- What You Must Have to Be Considered
- 3+ years of experience as a Data Analyst within consulting, financial services, insurance, or a related industry.
- Strong SQL expertise with hands-on experience querying, transforming, and analysing complex datasets.
- Experience with Python, R, or another analytics scripting language for data analysis and automation.
- Proven experience developing dashboards and visualisations using Power BI, Tableau, or similar business intelligence tools.
- Strong stakeholder management and communication skills, with the ability to clearly articulate analytical insights to both technical and non-technical audiences.
- Experience defining business problems, analysing data, structuring recommendations, and creating client-ready presentations.
- Understanding of data quality, data governance, and statistical concepts.
- Experience operating within Agile delivery environments and cross-functional project teams.
- Bachelor's degree in a quantitative discipline such as Mathematics, Statistics, Computer Science, Economics, Data Science, or a related field.
- These Will Help You Succeed
- Experience working within the General Insurance industry.
- Experience working in a consulting or professional services environment.
- Familiarity with cloud data platforms such as Azure, AWS, or Google Cloud Platform.
- Experience with data warehousing solutions and modern data architectures.
- Exposure to machine learning, predictive analytics, or AI-enabled analytics solutions.
- Formal Business Analysis or Data Analytics certifications (e. g., IIBA, BCS/ISEB, CBAP, or equivalent).
- Experience working with global delivery teams in a matrixed environment.
Benefits
- Private medical insurance
- Life assurance and income protection
- Pension scheme
- Employee assistance program
- Generous holiday entitlement
- Learning and development opportunities, including certifications and professional development programs
- Employee wellbeing initiatives and flexible working arrangements
- Access to Cognizant's global career growth and mobility opportunities
Cognizant is an equal opportunity employer.
All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
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Senior Consultant, Data Analyst 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 Consultant, Data Analyst
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We think you need these skills to ace Senior Consultant, Data 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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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!
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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 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.
