{"id":3537163,"url":"https://alion.io/job/tech-mahindra-lead-data-analyst-3","title":"Lead Data Analyst","company":{"id":5484,"name":"Tech Mahindra","domain":"techmahindra.com","url":"https://alion.io/company/tech-mahindra","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":89000,"max_usd":170000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":408},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Power BI","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Hadoop","optional":true},{"name":"Python","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-30T17:56:20Z","employer_posted_date":"2026-10-30","last_verified_at":"2026-11-04T08:14:47Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Job Description\n\nSkill Set :\nOracle Data Warehouse Data Modelling\n\nTotal Experience :\n6.00 to 8.00 Years\n\nNo of Openings :\n1\n\nJob Post Date :\n21/10/2026\n\nJob Expiry Date :\n30/11/2026\n\nDomain :\nIT\n\nLocation :\nFRANKLIN [United States]\n\nJob Reference No :\n4114017\n\nJob Summary\nJob Title: Data Scientist\nLocation: Nissan, USA Tennessee Franklin\nYears of Experience: 7 10 Years\nJob Summary:\nWe are seeking a highly skilled Data Scientist with a strong background in Oracle Data Warehouse Data Modelling. The ideal candidate will leverage their expertise to analyze complex data sets, develop predictive models, and provide actionable insights that drive business decisions. This role requires a blend of analytical skills, technical proficiency, and the ability to communicate findings effectively to stakeholders.\nResponsibilities:\nDesign and implement data models in Oracle Data Warehouse to support analytical and reporting needs.\nAnalyze large data sets to identify trends, patterns, and insights that inform business strategies.\nDevelop and validate predictive models using statistical techniques and machine learning algorithms.\nCollaborate with cross functional teams to understand data requirements and deliver solutions that meet business objectives.\nPrepare and present findings to stakeholders, translating complex data into clear and actionable insights.\nContinuously monitor and improve data quality and integrity within the data warehouse.\nStay updated with industry trends and best practices in data science and data warehousing.\nMandatory Skills:\nStrong expertise in Oracle Data Warehouse Data Modelling.\nProficiency in SQL and experience with data extraction and transformation.\nSolid understanding of statistical analysis and machine learning techniques.\nExperience with data visualization tools (e.g., Tableau, Power BI) to present findings effectively.\nStrong analytical and problem solving skills with attention to detail.\nExcellent communication skills, both verbal and written.\nPreferred Skills:\nExperience with programming languages such as Python or R for data analysis.\nFamiliarity with big data technologies (e.g., Hadoop, Spark) is a plus.\nKnowledge of cloud based data solutions (e.g., AWS, Azure) is advantageous.\nExperience in a business intelligence or analytics role.\nQualifications:\nBachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.\n7 10 years of relevant experience in data science or analytics, with a focus on data warehousing.\nProven track record of delivering data driven insights that influence business decisions.\nIf you are a passionate Data Scientist with a strong foundation in Oracle Data Warehouse Data Modelling and a desire to make an impact, we encourage you to apply for this exciting opportunity.\nThe pay range for this role is $115k - $120k per annum including any bonuses or variable pay. Tech Mahindra also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience, and location of the candidate.\nTech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities. 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