{"id":2701559,"url":"https://alion.io/job/cognizant-data-analyst-2","title":"Data Analyst","company":{"id":85,"name":"Cognizant","domain":"cognizant.com","url":"https://alion.io/company/cognizant","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Cognizant Careers","truth_index":{"grade":"B","score":84,"open_postings":102,"ghost_share":0,"stale_share":0.833,"repost_share":0,"time_to_fill_p50_days":19,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Analytics","role_family":"Analytics","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chennai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Python","optional":false},{"name":"Tokenization","optional":false}],"status":"live","first_seen_at":"2026-10-16T04:55:56Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-16T20:03:57Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Job Summary\nThis hybrid day shift role seeks an experienced data analyst with deep expertise in Python and modern generative AI frameworks including foundational understanding of large language models model context protocols and graph based orchestration tools. The analyst will design and optimize data pipelines embed responsible AI solutions and partner with stakeholders to deliver reliable insights and automation that advance enterprise decision making and societal outcomes through trustworthy data d\nResponsibilities\nDrive end to end analytical solutions by collecting cleaning and structuring complex enterprise data sets using Python to enable accurate reporting forecasting and insight generation for business decision makers.\nDesign and implement robust data pipelines and reusable code components in Python that streamline ingestion transformation and validation activities while improving maintainability scalability and operational efficiency.\nBuild and refine generative AI workflows that apply foundational knowledge of large language models to automate text analysis summarization and knowledge extraction in ways that respect governance and alignment with organizational standards.\nDevelop and orchestrate model context protocol based integrations that reliably manage prompts context windows and tool connections ensuring that AI driven analytics remain consistent auditable and responsive to evolving business needs.\nConstruct and maintain LangGraph workflows that organize complex multistep analytical and generative AI processes into clear graph structures supporting experimentation reuse and transparent monitoring of model behavior.\nCreate Langchain based chains and agents that securely connect language models with internal data sources and tools enabling advanced querying reasoning and customized insight delivery for nontechnical stakeholders.\nAnalyze large structured and unstructured data sets to identify trends anomalies and opportunities then translate these findings into concise recommendations that influence strategy and measurable operational improvements.\nCollaborate closely in a hybrid work environment with cross functional partners such as product teams engineering and business operations to define analytical requirements and align outputs with strategic objectives.\nEstablish rigorous data quality checks performance metrics and documentation practices for all Python and generative AI solutions so that downstream users can trust reliability reproducibility and ethical use of insights.\nMentor junior analytics practitioners by sharing best practices in Python coding prompt design model evaluation and data storytelling thereby strengthening team capability and long term institutional knowledge.\nOptimize deployed generative AI and analytics workflows by monitoring performance diagnosing issues and implementing improvements that reduce latency enhance accuracy and increase value for internal and external stakeholders.\nPresent complex analytical outcomes through clear narratives and visual summaries that help business leaders understand key drivers potential risks and societal implications of data informed decisions.\nAlign day to day analytical priorities with company sustainability and social responsibility goals by highlighting how improved data use can reduce waste support inclusive services and promote responsible AI adoption.\nQualifications\nDemonstrate advanced proficiency in Python programming including experience with data manipulation libraries testing frameworks and performance optimization to support large scale analytics.\nApply solid understanding of generative AI and large language model fundamentals such as tokenization context management evaluation methods and safety considerations in real world analytical solutions.\nUtilize practical knowledge of model context protocol to structure prompts maintain session state and orchestrate tool interactions that enable reliable and transparent AI powered data workflows.\nEmploy hands on experience with LangGraph to design monitor and iterate on complex graph based workflows that coordinate multiple models tools and decision points in enterprise environments.\nUse Langchain effectively to integrate language models with data sources retrieval components and custom tools providing flexible and secure interfaces for question answering and analytics.\nBring at least twelve years of progressive data analytics experience in multinational or similar settings including exposure to hybrid work models cross cultural collaboration and stakeholder engagement.\nShow strong communication and documentation skills that enable clear explanation of technical concepts risk tradeoffs and outcome implications to diverse audiences without relying on jargon.\nCertifications Required\nPreferred certifications include data analytics or AI credentials such as Microsoft Certified Azure Data Scientist Associate or similar industry recognized 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now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":19,"reasons":["conf:0","win:early","comp:brand"],"computed_at":"2026-10-16T20:11:33Z"},"pay":null,"html_url":"https://alion.io/job/cognizant-data-analyst-2","json_url":"https://alion.io/job/cognizant-data-analyst-2.json","meta":{"generated_at":"2026-10-16T20:11:33Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per 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