{"id":2693546,"url":"https://alion.io/job/ntt-data-compensation-advisor","title":"Compensation Advisor","company":{"id":50348,"name":"NTT DATA","domain":"nttdata.com","url":"https://alion.io/company/ntt-data","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Phenom","truth_index":{"grade":"B","score":75,"open_postings":30,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":22,"computed_at":"2026-10-17T05:46:00Z"}},"role":"HR","role_family":"HR","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":12500,"max_usd":29000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":12},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Microsoft Excel","optional":false},{"name":"Power BI","optional":true}],"status":"closed","first_seen_at":"2026-10-13T07:05:31Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-17T06:37:06Z","board_verified":false,"closed_at":"2026-10-17T06:37:06Z","days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"Compensation Adviser - Global Compensation, Market Pricing & Analytics\nRole Overview\nThe Compensation Adviser will support the Global Compensation, Recognition and Tools COE through compensation analytics, market intelligence, market pricing, survey administration, and project support across NTT DATA's global organization.\nThe role will work closely with Global Reward COE colleagues, Regional and Country Total Reward Partners, and external compensation survey providers to support compensation initiatives across Consulting, Specialty Businesses, Business Services, and corporate functions.\nA key focus of the position will be translating complex compensation and market data into clear, actionable insights. The successful candidate will be expected to go beyond data reporting by identifying anomalies, testing assumptions, assessing market relevance, and highlighting issues requiring further review.\nThe role requires strong analytical capability, advanced Excel and data-management skills, attention to detail, and a solid understanding of compensation fundamentals. The individual should be comfortable working with broad direction, managing multiple priorities, and progressively taking ownership of defined analytical and operational activities.\nKey Responsibilities\nMarket Pricing & Benchmarking\nConduct market pricing and benchmarking for jobs across multiple countries, job families, and business areas using approved compensation survey sources.\nAnalyze job content, responsibilities, organizational scope, talent group, and career level to support appropriate survey job matching.\nCompare market data across multiple survey providers and identify material differences, anomalies, or questionable observations.\nSupport the development and validation of market reference points, salary range midpoints, and supporting range analytics.\nPerform level-to-level progression, range-width, internal-pay, and market-positioning analyses.\nDocument market-pricing recommendations, assumptions, data sources, and rationale to maintain a clear audit trail.\nCompensation Surveys & Market Intelligence\nCoordinate annual and ad hoc compensation survey activities, including data preparation, submission, validation, and quality checks.\nWork with compensation survey providers such as Mercer, Aon Radford, WTW, and other relevant market-data vendors.\nAnalyze survey participant populations, peer groups, industry cuts, and other market segments to assess relevance for NTT DATA.\nMaintain survey inventories, participation information, effective dates, aging assumptions, and supporting documentation.\nMonitor relevant compensation-market developments and identify insights that may influence benchmarking or market-pricing decisions.\nCompensation Analytics & Quality Assurance\nAnalyze large compensation and employee datasets to identify trends, anomalies, inconsistencies, and data-quality issues.\nDevelop structured analyses supporting compensation decisions, market competitiveness, and internal consistency.\nBuild and maintain Excel-based analytical tools, dashboards, review files, and management reports.\nPerform quality assurance across compensation outputs, including job matches, market values, salary ranges, and progression relationships.\nInvestigate unusual results and determine whether issues arise from data quality, survey matching, methodology, or genuine market conditions.\nProject & Stakeholder Support\nSupport global compensation projects through data analysis, documentation, project tracking, and preparation of stakeholder materials.\nPrepare structured review packs for Total Reward Partners and consolidate market-pricing feedback and exceptions.\nConduct first-level analysis of compensation questions raised by Total Reward Partners and escalate complex methodology or policy matters to the appropriate COE lead.\nCollaborate with global and regional colleagues to resolve data issues and ensure consistency of analysis.\nCoordinate with external vendors on survey participation, data requests, and analytical requirements.\nTechnology & Process Improvement\nIdentify opportunities to automate repetitive compensation processes and improve data quality, reporting, and analytical efficiency.\nUse advanced Excel, analytics tools, and approved AI technologies to support analysis, quality assurance, documentation, and reporting.\nSupport the development and testing of compensation tools and standardized analytical processes.\nMaintain clear process documentation and version-controlled working files.\nRequired Experience & Qualifications\nBachelor's degree in Human Resources, Business, Finance, Economics, Statistics, Data Analytics, or a related field.\n8-10 years of relevant experience in Compensation, Total Rewards, HR Analytics, Workforce Analytics, or a comparable analytical role.\nDemonstrated experience working with compensation data, salary benchmarking, or market-pricing analysis.\nStrong Microsoft Excel capability, including:\nPivot Tables\nXLOOKUP and INDEX-MATCH\nAdvanced formulas\nData validation and reconciliation\nLarge dataset manipulation\nPower Query\nReporting and dashboard development\nStrong analytical and problem-solving skills, with the ability to identify data anomalies and investigate root causes.\nAbility to interpret data and develop meaningful conclusions rather than simply producing reports.\nHigh attention to detail and commitment to data accuracy.\nAbility to manage multiple priorities and deliver high-quality work with broad direction.\nStrong written and verbal communication skills.\nExperience working across countries, regions, or business units.\nPreferred Qualifications\nExperience within Technology, IT Services, Consulting, or Professional Services.\nExposure to global compensation programs and multi-country market pricing.\nExperience with compensation survey platforms such as Mercer, Aon Radford, WTW, Comptryx, Remchannel, or equivalent providers.\nExperience with Power BI or comparable data-visualization tools.\nExposure to AI-enabled analytical tools, automation, or workflow improvement.\nFamiliarity with job architecture, career frameworks, and salary-range design.\nKey Success Factors\nThe successful candidate will:\nDemonstrate curiosity and challenge questionable data rather than accepting outputs at face value.\nUnderstand that job content and scope, not job title alone, drive market matching.\nDistinguish between a market data point and a compensation recommendation.\nIdentify inconsistencies across survey sources, jobs, levels, and countries.\nProduce analysis that is accurate, traceable, and easy for another compensation professional to understand.\nMake sensible recommendations within defined methodology and escalate appropriately where policy or senior judgement is 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