{"id":3968648,"url":"https://alion.io/job/hcltech-senior-analystdevelopment-4","title":"Senior Analyst(Development)","company":{"id":225,"name":"HCLTech","domain":"hcltech.com","url":"https://alion.io/company/hcltech","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, 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":"Microsoft Excel","optional":true}],"status":"live","first_seen_at":"2026-11-09T15:11:25Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-09T15:14:21Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Job Summary\nVOLVO IT\nData Quality Analyst - 3 FTE (E1 or E1.2)\nRole overview\nPerform high-volume data validation and parts cross-reference activities by comparing publicly available truck-part information with internal Volvo and Mack parts data, ensuring accurate and consistent records.\nKey responsibilities\nCompare publicly available truck part numbers with internal Volvo and Mack parts databases.\nValidate and maintain mappings between Vehicle Maintenance Reporting Standards (VMRS) part numbers and Volvo/Mack part numbers.\nReview and verify data pre-processed by AI-enabled tools.\nIdentify and correct data-quality issues, inconsistencies and formatting errors.\nUpdate and maintain parts cross-reference data in accordance with established standards.\nUse internal systems and external websites to research and validate data.\nPerform repetitive, high-volume validation activities accurately while maintaining expected productivity standards.\nParticipate in training sessions, sprint reviews and status meetings.\nRequired qualifications\nStrong attention to detail and commitment to data accuracy.\nAbility to work effectively with structured data and data validation processes.\nComfortable learning and navigating multiple applications, systems and websites.\nExperience performing research, validation or data-quality activities.\nComfortable performing repetitive data-review activities consistently while maintaining productivity standards.\nPreferred qualifications\nIntermediate proficiency in Microsoft Excel.\nExperience with data entry, data quality or database maintenance activities.\nExperience working in a production-oriented or process-driven environment.\nKey Responsibilities\nData Quality Analyst - 3 FTE (E1 or E1.2)\nRole overview\nPerform high-volume data validation and parts cross-reference activities by comparing publicly available truck-part information with internal Volvo and Mack parts data, ensuring accurate and consistent records.\nKey responsibilities\nCompare publicly available truck part numbers with internal Volvo and Mack parts databases.\nValidate and maintain mappings between Vehicle Maintenance Reporting Standards (VMRS) part numbers and Volvo/Mack part numbers.\nReview and verify data pre-processed by AI-enabled tools.\nIdentify and correct data-quality issues, inconsistencies and formatting errors.\nUpdate and maintain parts cross-reference data in accordance with established standards.\nUse internal systems and external websites to research and validate data.\nPerform repetitive, high-volume validation activities accurately while maintaining expected productivity standards.\nParticipate in training sessions, sprint reviews and status meetings.\nRequired qualifications\nStrong attention to detail and commitment to data accuracy.\nAbility to work effectively with structured data and data validation processes.\nComfortable learning and navigating multiple applications, systems and websites.\nExperience performing research, validation or data-quality activities.\nComfortable performing repetitive data-review activities consistently while maintaining productivity standards.\nPreferred qualifications\nIntermediate proficiency in Microsoft Excel.\nExperience with data entry, data quality or database maintenance activities.\nExperience working in a production-oriented or process-driven environment.\nSkill Requirements\nOther 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