Summary
Overview
Work History
Education
Skills
Timeline
Generic

Aaruni Jha

US-NJ

Summary

Results-driven professional with over seven years of experience optimizing business performance through data-driven insights. Proven ability to streamline processes, implement cost-efficient programs, and drive sustainable growth across multiple industries. Proficient in a wide range of software tools. Seasoned Compensation Consultant with deep understanding of designing, implementing and managing compensation strategies. Known for strong leadership skills, comfort with data analysis and commitment to fostering an equitable workplace environment.

Overview

10
10
years of professional experience

Work History

Senior Compensation Consultant/ Analyst - Contract

Atlas Airlines
NY, US
03.2025 - Current
  • Developed job description classifier prototype utilizing AI Builder to align Mercer levels with key keywords, expediting job evaluations by 30%
  • Eliminated 130+ discrepancies in career streams, levels, and pay bands through comprehensive audits in Excel to ensure alignment with job architecture.
  • Established salary ranges across APAC, EMEA, and Americas utilizing MRC surveys, resulting in consistent global benchmarking.
  • Implemented job evaluation dashboard in Power BI, integrated with MS Teams, allowing leadership to track 2025 job evaluation progress and insights effectively.

Senior Compensation Consultant/ Analyst - Contract

Grubhub
NYC, US
12.2024 - 03.2025
  • Conducted pay equity analysis for promotions, addressing pay compression and strengthening compliance with internal compensation guidelines.
  • Verified data points associated with managerial hierarchies in Workday throughout annual compensation cycle, decreasing reporting errors by 30%
  • Highlighted 25+ cases of misaligned span of control, triggering review of promotions to enhance organizational efficiency.
  • Streamlined data validation of Workday reports utilizing Python in Google Collab, enhancing data accuracy by 40%

Global Compensation Analyst

Aptiv
MA, US
06.2023 - 07.2024
  • Spearheaded global job leveling and benchmarking initiatives for over 200,000 employees, ensuring internal equity and market competitiveness.
  • Optimized global grade profiles elevating benchmarking precision and supporting uniform implementation of compensation standards
  • Developed compensation programs for new hires utilizing NACE data, resulting in 15% increase in offer acceptance rates.
  • Validated Workday compensation reports, maintaining 90%+ data accuracy and enabling efficient annual compensation cycle.

Executive Compensation Data Analyst

Compensia
CA, US
02.2022 - 05.2023
  • Developed a relational database from SEC filings, enhancing executive compensation data accuracy and providing robust support for CD&A reporting.
  • Implemented peer group benchmarking through Radford and S&P CapIQ proprietary tools, ensuring defensible executive pay proposals.
  • Enhanced compensation tracking with Power Automate, facilitating immediate access to information for partners and clients.
  • Engineered business rules in PowerApps for equity components according to user selection, enhancing efficiency of compensation consulting workflows.

Operations Manager

Amazon
MA, US
01.2021 - 01.2022
  • Eliminated systemic bottlenecks across legacy sites in Massachusetts through predictive analytics, enhancing operational performance by 20%.
  • Spearheaded Kanban-based workflow transformation, achieving 27% enhancement in quality metrics and 33% decrease in operational costs.
  • Evaluated inbound logistics data for 200+ warehouse associates to enhance labor planning, attaining 99.90% scan compliance rate.
  • Designed and executed leadership training programs for 10 high-potential associates, resulting in 100% promotion rate.

Business Analyst / Assistant Manager

CT Business Consulting
CT, US
03.2018 - 08.2019
  • Transformed performance data into training strategies for a 50+ person salesforce, driving a 25% increase in profit within three months.
  • Conducted deep-dive attrition analysis uncovering a link between performance and turnover; that reduced churn by 27%.
  • Led the digitization of legacy processes via Excel and SharePoint, improving reporting agility and stakeholder visibility.
  • Directed a sales team of 50+ associates on customer profiling, increasing qualified lead conversion by 43% in a competitive market.

System Data Analyst

Tata Consultancy Services (TCS)
India
01.2016 - 12.2017
  • Facilitated UAT testing for major platform improvements, resulting in 31% decrease in cart abandonment rates among e-commerce clients.
  • Analyzed console logs to proactively identify fraudulent activities, leading to 43% reduction in fraudulent transactions
  • Implemented SQL-driven data management for core entities including customers, products, and POS systems, ensuring data integrity.
  • Directed targeted campaign strategy via SAP Hybris, facilitating 53% increase in seasonal sales.

Education

Master of Science - Engineering Management

Northeastern University
MA
12.2020

Skills

  • Advanced MS Excel
  • Google Sheets
  • MS Power BI
  • Python
  • Exploratory data analysis
  • SQL
  • Workday HCM
  • Dayforce
  • Pay equity analysis
  • Job leveling and benchmarking
  • Regression analysis
  • MS Power Platform
  • Compensation cycle planning
  • Survey management

Timeline

Senior Compensation Consultant/ Analyst - Contract

Atlas Airlines
03.2025 - Current

Senior Compensation Consultant/ Analyst - Contract

Grubhub
12.2024 - 03.2025

Global Compensation Analyst

Aptiv
06.2023 - 07.2024

Executive Compensation Data Analyst

Compensia
02.2022 - 05.2023

Operations Manager

Amazon
01.2021 - 01.2022

Business Analyst / Assistant Manager

CT Business Consulting
03.2018 - 08.2019

System Data Analyst

Tata Consultancy Services (TCS)
01.2016 - 12.2017

Master of Science - Engineering Management

Northeastern University
Aaruni Jha
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