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.
We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
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
À propos de Cognizant
Cognizant (NASDAQ : CTSH) est un AI Builder et une entreprise de services numériques (ESN) élaborant des solutions complètes d’IA maximisant les investissements pour des résultats concrets. Sa profonde expertise des métiers, des processus et des technologies lui permet d’intégrer dans les systèmes technologiques le contexte unique de chaque organisation de l’ingénierie à la production à l’échelle. Son objectif : améliorer l’efficacité des équipes, créer de la valeur et permettre aux grandes entreprises de rester performantes dans un monde qui évolue rapidement. Pour en savoir plus : cognizant.ai ou @cognizant.
Renseignments suppplémentaires sur l'emploi
Les informations relatives à la rémunération du poste à pourvoir dépendent de la date de publication de l’offre de poste. Cognizant se réserve le droit de modifier ces informations à tout moment, sous réserve des lois applicables.
Cognizant est un employeur soucieux de l'égalité des chances entre candidats. Votre candidature sera étudiée indépendamment de votre race, couleur, sexe, religion, croyances, orientation sexuelle, identité de genre, origine, handicap, informations génétiques, grossesse, statut d'ancien militaire ou de toute autre critère jugé discriminant par les lois européennes ou françaises.
Vous êtes porteur d'un handicap, vous pouvez-nous contacter par courriel [email protected] si vous souhaitez préciser les aménagements nécessaires pour le poste ou les entretiens à venir.
Les candidats peuvent être invités à participer à des entretiens en face à face ou par vidéoconférence. En outre, les candidats peuvent être amenés à présenter une carte d'identité valide lors de chaque entretien.
