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Manager, Data & Analytics - India

Actively Reviewing the Applications

ETS

India, Delhi Full-Time On-site INR 14–16 LPA
Posted 4 days ago Apply by June 15, 2026

Job Description

About ETS

ETS is a global education and talent solutions organization enabling lifelong learners worldwide to be future-ready. For more than 75 years, we've been advancing the science of measurement to build benchmarks for fair and valid skill assessment across cultures and borders. Our worldwide impact extends through our renowned assessments including TOEFL®, TOEIC®, GRE® and Praxis® tests, serving millions of learners in more than 200 countries and territories. Through strategic acquisitions, we've expanded our global capabilities: PSI strengthens our workforce assessment solutions, while Edusoft, Kira Talent, Pipplet, Vericant, and Wheebox enhance our educational technology and assessment platforms across critical markets worldwide.

Through ETS Research Institute and ETS Solutions, we're partnering with educational institutions, governments, and organizations globally to promote skill proficiency, empower upward mobility, and unlock opportunities for everyone, everywhere. With offices and partners across Asia, Europe, the Middle East, Africa, and the Americas, we deliver nearly 50 million tests annually. Join us in our journey of measuring progress to power human progress worldwide.

Position Summary

We are seeking a passionate data and analytics leader responsible for establishing and motivating a team of data and analytics professionals. This role will work closely with the Head of Data and Analytics and involves overseeing data analytics projects aligned to business value, driving data strategy, and ensuring effective collaboration with global team. The ideal candidate will have a strong background in data and analytics, excellent leadership skills, and experience managing teams.

Primary Responsibilities

Team Establishment and Management:

  • Recruit, hire, and train a team of data and analytics professionals including data analysts, data scientists, data governance specialists and agile data scrum leads.
  • Develop and implement onboarding processes and training programs.
  • Create a collaborative and efficient remote working environment.

Project Management

  • Oversee the planning, execution, and delivery of data analytics projects.
  • Coordinate with onshore stakeholders to define project goals, timelines, and deliverables.
  • Ensure projects are completed on time and within budget.

Data Strategy And Governance

  • Partner with data governance leaders to develop and implement data governance policies to ensure data quality and integrity.
  • Establish data analytics best practices and standards.
  • Collaborate with IT and other departments to integrate data sources and ensure data accessibility.

Analytics And Insights

  • Lead the team in analyzing complex datasets to provide actionable insights.
  • Present findings and recommendations to senior management and other stakeholders.

Stakeholder Management

  • Act as the primary point of contact for offshore data analytics operations.
  • Build and maintain relationships with key stakeholders, including onshore teams and external partners.
  • Ensure effective communication and alignment between offshore and onshore teams.

Continuous Improvement

  • Stay up-to-date with the latest trends and technologies in data analytics.
  • Implement continuous improvement processes to enhance team performance and efficiency.
  • Foster a culture of innovation and continuous learning within the team.

Knowledge/Skills

  • Proven experience in establishing and managing remote or offshore teams.
  • Proven leadership skills
  • Strong understanding of data analytics tools and technologies (e.g., Python, R, SQL, Power BI, AWS and Azure cloud platforms).
  • Excellent project management skills, with experience in agile methodologies.
  • Strong analytical and problem-solving skills.
  • Excellent communication and interpersonal skills.
  • Ability to work effectively in a remote team environment.

Education And Experience

  • Undergraduate degree (or equivalent experience) in related fields such as: Computer Science, Information Technology, Data Science or other areas combined with relevant work experience, is required
  • 15+ years of combined experience in data and analytics, with a minimum of 3-5 years in a leadership role
  • Or an equivalent combination of education and experience to constitute a similar level of expertise, i.e.:
  • Bachelor’s degree and 13+ years of experience in relevant field OR Master’s degree and 11+ years of experience in relevant field
  • Agile methodologies and ideally, analytics methodology experience
  • Preferred experience with cloud platforms (e.g., AWS, Azure, Google Cloud), analytics tools and techniques and data governance frameworks

ETS is mission driven and action oriented

  • We are passionate about hiring innovative thinkers who believe in the promise of education and lifelong learning.
  • We are energized by cultivating growth, innovation, and continuous transformation for the next generation of rising professionals as leaders. Â In support of this ETS offers multiple Business Resource Groups (BRG) for you to learn and advance your career growth!
  • As a not-for-profit organization we will encourage you to lean in to your passion for volunteering. Â At ETS you may qualify for up to an additional 8 hours of PTO for volunteer work on causes that are important to you!
  • The base salary range advertised represents the low and high end of the anticipated salary range for this position. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. The base pay is only one aspect of the Total Rewards Package that will be offered to the successful candidate.

ETS is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, sexual orientation, gender identity, or any other characteristic protected by law. We believe in creating a work environment where all individuals are treated with respect and dignity.
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