About AI & Analytics: Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.
By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models. Cognizant’s AIA practice takes insights that are buried in data and provides businesses a clear way to transform how they source, interpret and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence.
*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
Job Summary
We are seeking a Business Systems Analyst to support data platform initiatives on Azure and Databricks. This role involves working closely with business and product teams to gather requirements and translate them into functional specifications and data mappings. You will play a key role in data analysis, validation, and ensuring data quality across cloud-based systems. The position requires strong analytical skills, SQL expertise, and the ability to work effectively in an Agile environment.
In this role, you will:
· Collaborate with business stakeholders and product owners to gather and analyze requirements.
· Create functional specification documents and source-to-target mapping documents.
· Perform data analysis, data profiling, validation, and lineage interpretation.
· Write SQL queries to extract, analyze, and validate data across systems.
· Use Databricks notebooks for data exploration and analysis in a cloud environment.
· Support data classification and ensure adherence to data quality standards.
· Provide walkthroughs of requirements to developers, engineers, and QA teams.
· Participate in Agile ceremonies including daily stand-ups, sprint planning, and PI discussions.
What you need to have to be considered
· 3-6 years of experience as a Business Systems Analyst or Data Analyst.
· Strong experience with source-to-target mapping and understanding of data lineage concepts.
· Proficiency in SQL for data querying and analysis.
· Hands-on or working knowledge of Azure data platforms and Databricks.
· Solid understanding of data profiling, validation, and cloud concepts.
· Experience in Agile delivery models and working with cross-functional teams.
· Strong communication and analytical skills.
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Applications will be accepted until 18 Jun 2026
Salary and Other Compensation:
The hourly salary for this position is between $[73,000 - 85,500] depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
· Medical/Dental/Vision/Life Insurance
· Paid holidays plus Paid Time Off
· 401(k) plan and contributions
· Long-term/Short-term Disability
· Paid Parental Leave
· Employee Stock Purchase Plan
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。
