Job Summary
The Data Analyst is responsible for transforming data into actionable insights that support business decision-making. The role requires strong business context understanding, stakeholder engagement, analytical thinking, and data visualisation expertise to communicate insights effectively.
Key Responsibilities
Business Analysis & Insights
Develop a deep understanding of business processes, operational challenges, and policy objectives.
Partner with stakeholders to understand business needs and translate them into analytical requirements.
Analyse datasets to identify trends, opportunities, risks, and performance indicators.
Provide recommendations and insights that support data-driven decision-making.
Analytics & Data Visualisation
Build, enhance, and maintain dashboards for performance reporting, operational monitoring, and user behaviour analytics.
Design intuitive and impactful visualisations that effectively communicate complex findings to business users.
Apply data storytelling techniques to present insights to both technical and non-technical audiences.
Define and track business metrics
Data Preparation & Analysis
Query, clean, and analyse data using SQL, Python, and Databricks.
Validate and interpret data to ensure analytical outputs are accurate and meaningful.
Collaborate with data engineers to improve data accessibility and usability for reporting purposes.
Documentation & Knowledge Management
Develop user guides and business documentation for dashboards, reports, and analytical products.
Maintain documentation on reporting methodologies, metric definitions, and analytical standards.
Support agile delivery activities such as requirements gathering, user story creation, and acceptance testing.
Explore automation opportunities to improve reporting and analytics workflows.
Competencies & Requirements
Technical Skills
Proficiency in SQL and Python for data analysis.
Hands-on experience with dashboard and visualisation tools (e.g. Databricks, Power BI).
Experience using Databricks or similar analytics platforms.
Ability to create compelling visualisations and data stories for diverse audiences.
Strong documentation and report-writing capabilities.
Preferred Skills
Understanding of business intelligence and KPI frameworks.
Familiarity with Jira, QA testing, and agile delivery practices.
Soft Skills
Strong business acumen and ability to understand operational and policy contexts.
Excellent communication and stakeholder management skills.
Ability to translate technical findings into meaningful business insights.
Strong analytical mindset, curiosity, and problem-solving abilities.
Attention to detail and commitment to delivering high-quality outputs.
About Cognizant:
Cognizant (Nasdaq: CTSH) engineers modern businesses. We help our clients modernize technology, reimagine processes and transform experiences so they can stay ahead in our fast-changing world. Together, we're improving everyday life. See how at www.cognizant.com or @cognizant.
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关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中，您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。
