Data Analyst

Job Locations IN-Mumbai
Posted Date 6 hours ago(06/10/2026 04:01)
Job ID
2026-6912
# of Openings
1
Category
Vendor Management/Supply Chain
Banding
4

Job Purpose

Job Purpose 

As a Data Analyst for Talent Finding, you will serve as the analytical engine driving our global sourcing, recruitment, and talent onboarding strategies. In this specialist role, you will be responsible for transforming raw talent acquisition, community demographics, and project pipeline data into actionable strategic insights.

You will analyze recruitment marketing efficiency, forecast language-specific supply gaps, monitor community engagement metrics, and build advanced dashboards. Your work will directly empower our Talent Finding and Management teams to scale up highly specialized, multilingual teams at a rapid pace to meet critical client demands.

 

 

About Delivery

Did you know that more than 7,000 languages are spoken around the world? Language defines the art of communication. It is how we connect with friends and family, and how we ultimately unlock understanding. The Delivery team offers clients access to the world’s largest linguistic network, including more than 1,600 in-house translators and in excess of 29,000 freelance specialists, whose cultural and technical expertise underpin 24/7 service provision in over 80 countries.  

Job Overview

Key Responsibilities


Sourcing & Recruitment Analytics

  • Collect, clean, and analyze high-volume data from applicant tracking systems (ATS), community portals, and external sourcing channels.
  • Evaluate the ROI of recruitment marketing campaigns, job board spend, and local community outreach strategies.
  • Identify bottlenecks in the recruitment funnel, from initial application and vetting/testing to onboarding and project assignment, proposing data-driven process optimizations.
  • Create reporting solutions that go beyond basic dashboards, including advanced metrics, trend analysis, segmentation, and automated insights.
  • Leverage AI tools and agents to automate analysis, reporting and data validation.

Capacity Planning & Supply-Demand Forecasting

  • Partner with Talent Management and account teams to analyze upcoming project pipelines and resource demands.
  • Analyze existing community capacities across specific locales, language tiers, and specialized subject-matter domains
  • Develop predictive models and gap analysis reports to alert recruiters to looming talent shortages, enabling proactive sourcing campaigns.

Reporting, Dashboard Development & KPI Tracking

  • Design, build, and maintain interactive dashboards and reports to track key recruitment metrics (e.g., Cost Per Hire, Time to Onboard, Pass Rates, Community Drop-off Rates).
  • Present weekly, monthly, and quarterly talent operations reviews to senior leadership, providing clear narratives behind the numbers.
  • Standardize data collection methodologies across talent finding and management teams to ensure alignment.

Data Governance & Integrity

  • Maintain high standards of data hygiene and integrity within our global community management databases.

 

Skills & Experience

  • Education: Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or a related quantitative field.
  • Experience: 3 to 5 years of experience in a Data Analyst role, ideally with a strong focus on Talent Analytics, Workforce Planning, Operations, or within a high-volume global crowdsourcing/localization model.
  • Data Manipulation: Advanced SQL skills are required for querying and merging large, complex relational databases.
  • Data Visualization: Proven proficiency in designing interactive dashboards in Power BI, or similar BI tools. Spreadsheet modeling experience: Expert-level Microsoft Excel skills
  • Analytical Thinking: Strong problem-solving abilities with a proven track record of translating complex raw datasets into executive-level strategic advice.
  • Stakeholder Management: Excellent verbal and written communication skills, with the ability to articulate technical insights clearly to non-technical business partners.
  • Autonomy: Self-motivated and comfortable taking ownership of analytical initiatives with minimal supervision.

Life at RWS

Life at RWS - If you like the idea of working with smart people who are passionate about growing the value of ideas, data and content by making sure organizations are understood, then you’ll love life at RWS. 

 

Our purpose is to unlock global understanding. This means our work fundamentally recognizes the value of every language and culture. So, we celebrate difference, we are inclusive and believe that diversity makes us strong. We want every employee to grow as an individual and excel in their career. 

 

In return, we expect all our people to live by the values that unite us: to partner, putting clients fist and winning together, to pioneer, innovating fearlessly and leading with vision and courage, to progress, aiming high and growing through actions and to deliver, owning the outcome and building trust with our colleagues and clients.

 

RWS embraces DEI and promotes equal opportunity, we are an Equal Opportunity Employer and prohibit discrimination and harassment of any kind. RWS is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at RWS are based on business needs, job requirements and individual qualifications, without regard to race, religion, nationality, ethnicity, sex, age, disability, or sexual orientation. RWS will not tolerate discrimination based on any of these characteristics. 

RWS Values 

 

Get the 3Ps right – Partner, Pioneer, Progress – and we´ll Deliver together as RWS.

 

Recruitment Agencies: RWS Holdings PLC does not accept agency resumes.  Please do not forward any unsolicited resumes to any RWS employees.  Any unsolicited resume received will be treated as the property of RWS and Terms & Conditions associated with the use of such resume will be considered null and void.

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