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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コグニザントについて
コグニザント（NASDAQ: CTSH）は、AI Builderおよびテクノロジーサービスプロバイダーとして、お客様にフルスタックのAIソリューションを構築することで、AI投資と企業価値を結ぶ架け橋となっています。業界、ビジネスプロセス、エンジニアリングに関する当社の深い専門知識を活かし、組織固有のビジネス環境をテクノロジー・システムに組み込みます。これにより、人間の可能性を最大限に引き出し、確かな成果を実現するとともに、急速に変化する世界においてグローバル企業が常に一歩先を行くための支援を行っています。 詳細については、cognizant.ai をご覧ください。
雇用に関する追加情報
本募集に記載されている報酬情報は、掲載日時点で正確なものです。Cognizantは、適用される法令に従い、いつでも本情報を変更する権利を留保します。
応募者は、対面またはビデオ会議による面接への参加を求められる場合があります。また、各面接の際に、現在有効な州政府または政府発行の身分証明書の提示を求められる場合があります。
Cognizantは機会均等雇用主です。応募および選考において、人種、肌の色、性別、宗教、信条、性的指向、性自認、国籍、障がい、遺伝情報、妊娠、退役軍人の地位、その他連邦法・州法・地方自治体の法律により保護されるいかなる特性に基づく差別も行いません。
