Edtech.com's Summary

Elsevier is hiring a Sr. Data Research Analyst II to join its Data Discovery and Enrichment team, working at the intersection of data, AI, and research domain knowledge. The analyst leads complex data curation and enrichment projects from scoping through delivery, partners with product managers and customers, and mentors junior team members.

Highlights

Lead data discovery, enrichment, and curation initiatives with a high degree of autonomy, applying data science techniques and AI/ML tools to improve the quality, coverage, and scalability of data assets.
Design and implement intelligent workflows for source evaluation, entity resolution, and information extraction, and evaluate emerging AI tooling for data enrichment.
Develop and maintain the taxonomies, ontologies, and knowledge graphs that power Elsevier's downstream products.
Partner with product managers to turn data insights into product features, and engage customers and internal stakeholders to understand data needs and validate solutions.
Own end-to-end delivery of data projects within agile or project management frameworks, and define the policies, procedures, and quality standards used across the team.
Mentor and support junior team members with technical guidance and performance feedback, while closing process gaps and driving continuous improvement.
Master's degree (or equivalent) in a quantitative, information, or research-related field with 7+ years of relevant experience; background in academic publishing, research intelligence, or bibliographic data is a strong advantage.
Strong analytical skills with large multi-source datasets, working knowledge of AI and machine learning, entity extraction, and classification, and experience building taxonomies or controlled vocabularies.
Ability to explain complex data concepts in clear business language to customers, product teams, and senior stakeholders.

Sr. Data Research Analyst II Full Description

As a Data Discovery and Enrichment Expert II, you will operate at the intersection of data, AI, and domain knowledge. You will take ownership of complex data initiatives end-to-end, contribute to shaping how the team leverages AI and data science methods, and work closely with product and customer stakeholders to drive meaningful outcomes. This role is for someone with an execution mindset who thrives on turning ambiguous problems into structured, scalable solutions.

About our Team:-

We are looking for a senior, growth-minded data professional to join the Data Discovery and Enrichment (DDE) team. This is a future-ready role designed for someone who brings strong analytical and data science foundations and who is ready to grow into product and customer-facing work.

About the Role:-

Responsibilities:-

Data & AI-Driven Discovery

Lead complex data discovery, enrichment, and curation initiatives with a high degree of autonomy
Apply data science techniques and AI/ML tools to improve the quality, coverage, and scalability of data assets
Design and implement intelligent workflows for source evaluation, entity resolution, and information extraction
Develop and maintain taxonomies, ontologies, and knowledge graphs that power downstream products
Evaluate and adopt emerging AI tooling relevant to data enrichment and research intelligence

Product & Customer Collaboration

Partner with product managers to translate data insights into product features and improvements
Engage directly with customers and internal stakeholders to understand data needs and validate solutions
Contribute to the product roadmap by identifying data-driven opportunities for domain growth
Communicate findings, recommendations, and data strategies clearly to both technical and non-technical audiences

Project Execution & Team Leadership

Own the end-to-end delivery of data projects, from scoping and planning through execution and review
Define and drive policies, procedures, and quality standards across the DDE team
Mentor and support junior team members, providing technical guidance and performance feedback
Identify and close process gaps; champion a culture of continuous improvement and execution excellence
Work within agile or project management frameworks to deliver reliably on commitments

Requirements:-

Technical Skills

Strong analytical skills with the ability to work with large, complex, and multi-source datasets
Working knowledge of AI and machine learning concepts, entity extraction, and classification
Data science skills: ability to prototype, analyse, and iterate on data pipelines and enrichment models
Familiarity with relevant databases, data tools, and curation platforms
Experience creating and maintaining taxonomies, controlled vocabularies, or ontologies
Track record of applying QA standards rigorously and improving them over time.

Project Management & Execution

Proven ability to manage multiple priorities and deliver complex projects on time
Experience with agile methodologies or structured project management approaches
Execution-oriented: comfortable moving from strategy to delivery with minimal oversight
Strong problem-solving skills; able to collect data, identify root causes, and act decisively.

Communication & Stakeholder Skills

Excellent written and verbal communication skills; able to adapt style for different audiences
Confident engaging with customers, product teams, and senior stakeholders
Ability to translate complex data concepts into clear business language
Collaborative team player who also takes individual ownership

Education & Experience

MS degree (or equivalent) in a quantitative, information, or research-related field, with 7+ years of relevant experience. Experience in academic publishing, research intelligence, or bibliographic data is a strong advantage.

We particularly welcome candidates whose background spans data science and a domain-adjacent field (e.g. research analytics, information science, knowledge management), and who are motivated to grow into product and customer-facing responsibilities.

Work in a Way That Works for You:-

We promote a healthy work/life balance and provide various well-being initiatives, shared parental leave, study assistance and sabbaticals to help you meet both your immediate responsibilities and long-term goals.

Working for You:-

We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

Comprehensive Health Insurance: Covers you, your immediate family and parents.
Enhanced Health Insurance Options: Competitive rates negotiated by the company.
Group Life Insurance: Ensuring financial security for your loved ones.
Group Accident Insurance: Extra protection for accidental death and permanent disablement.
Flexible Working Arrangement: Achieve a harmonious work-life balance.
Employee Assistance Program: Access support for personal and work-related challenges.
Medical Screening: Your well-being is a top priority.
Modern Family Benefits: Maternity, paternity and adoption support.
Long-Service Awards: Recognizing dedication and commitment.
New Baby Gift: Celebrating the joy of parenthood.
Subsidized Meals in Chennai: Enjoy delicious meals at discounted rates.
Various Paid Time Off: Take time off with Casual Leave, Sick Leave, Privilege Leave, Compassionate Leave, Special Sick Leave and Gazetted Public Holidays.
Free transport pick up and drop from home - office - home. Applicable for Bangalore and Chennai.

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Sr. Data Research Analyst II

Edtech.com's Summary

Sr. Data Research Analyst II Full Description

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