66 Social Research jobs in India

**Our Purpose**
_Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._
**Title and Summary**
Senior Research Manager/Associate Director (Qualitative),Advisors Research Center
Our Purpose
We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team - one that makes better decisions, drives innovation and delivers better business results.
All About Us
The Data & Services team is a key differentiator for Mastercard providing the cutting-edge services that help our customers grow. Focused on thinking big and scaling fast around the globe, this agile team is responsible for end-to-end solutions for a diverse global customer base. We combine traditional management consulting with our rich data assets and in-house technology to provide our clients with powerful strategic insights and recommendations. Centered on data-driven technologies and innovation, these services include consulting, loyalty and marketing programs, test-and-learn business experimentation, and data driven information and risk management services. While specializing in the payments industry, Mastercard Data & Services also works closely with major retailers, airlines, and other enterprises, leveraging data and insights garnered from within and beyond its network.
All About the Role
The Advisors Research Center is a global research capability within Mastercard Advisors that responds quickly to evolving customer needs with high-quality research support. With a strong focus on value realization, the Advisors Research Center plays a key role in generating insights and actionable recommendations. It complements and enhances Advisors' traditional strengths, supporting deeper, evidence-based decision-making.
As a Senior Research Manager / Associate Director, you will lead custom research engagements that inform Mastercard's consulting projects, marketing strategies, and product innovations across a wide array of clients and industries.
Your responsibilities would include:
- Lead end-to-end primary research engagements, from proposal and design through to delivery of insights.
- Scope research approaches tailored to strategic business challenges, leveraging primarily qualitative methods.
- Moderate in-depth interviews and focus groups, manage vendors, and conduct analysis as needed.
- Synthesize findings into compelling stories with clear, actionable recommendations.
All About You
You are a skilled researcher who is passionate about uncovering insights that matter. You thrive in fast-paced environment and are confident managing multiple projects, stakeholders, and timelines.
- Proven experience leading custom research projects (mainly primary research), ideally in a consultancy, agency, or client-side insights team.
- End-to-end project management capabilities from scoping and design through execution, team oversight and final delivery.
- Strong ability to engage with internal and external stakeholders, including consulting to understand client objectives, frame research questions, and confidently lead presentations and communications throughout the project.
- Experience working with research vendors, including vendor management, managing fieldwork logistics, execution of primary research studies, and discussion guide preparation.
- Demonstrated people management responsibilities, including leading a small team and mentoring junior researchers (preferably, not mandatory).
- Excellent communication and business writing skills, with the ability to translate complex data into clear, compelling insights and produce professional, client-ready materials that influence decision-makers.
All About Your Education & Skills
- 8-10+ years of relevant experience in research, customer insights, or strategy consulting, with a strong emphasis on qualitative research.
- Extensive experience leading primary research projects with a strong focus on qualitative methods, including end-to-end management from design and moderation to analysis and reporting.
- Highly skilled in applying a range of techniques such as in-depth interviews, focus groups, and ethnographic approaches tailored to project objectives and audiences, with a proven ability to generate actionable insights that inform strategic decision-making.
- Preferred (not mandatory) experience in quantitative research methods, with a collaborative mindset to work effectively with quantitative teams and integrate findings for a comprehensive understanding of consumer behavior.
- Strong knowledge of various qualitative research methodologies and tools, with the flexibility to tailor approaches according to specific project objectives and target audiences.
- Familiarity with the financial services industry is preferred, including awareness of recent trends, issues, and key topics.
- Fluency in English is required; proficiency in additional languages is considered an advantage.
- Advanced skills in Microsoft Word, Excel, and PowerPoint are essential, with knowledge of project management tools preferred.
**Corporate Security Responsibility**
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
+ Abide by Mastercard's security policies and practices;
+ Ensure the confidentiality and integrity of the information being accessed;
+ Report any suspected information security violation or breach, and
+ Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.

Our client is looking for a motivated Junior Research Assistant to support ongoing projects in the social sciences. This hybrid role offers a valuable opportunity to gain hands-on research experience within a dynamic academic or research environment. The successful candidate will assist senior researchers with data collection, literature reviews, survey administration, and basic data analysis. You will be involved in various stages of the research process, contributing to studies on contemporary social issues. This position requires meticulous attention to detail, strong organizational skills, and a genuine interest in social science research methodologies. The role is based in Bhubaneswar, Odisha, IN , with a requirement for both remote work and periodic on-site collaboration. Successful applicants will have the chance to learn from experienced professionals and contribute to impactful research.

Responsibilities:

• Conduct thorough literature reviews on assigned research topics.
• Assist in the design and implementation of research instruments (e.g., surveys, interview guides).
• Collect data through various methods, including online surveys, phone interviews, and in-person interactions as required.
• Transcribe interviews and manage qualitative data.
• Perform basic quantitative data entry and verification.
• Assist in organizing and preparing research materials.
• Help to schedule research participant recruitment and manage communication.
• Contribute to the preparation of research reports and presentations.
• Maintain accurate and organized research records.
• Attend research team meetings, both virtually and in-person.
• Provide administrative support for research-related activities as needed.
• Assist in ensuring ethical research protocols are followed.
• Identify potential sources for data and research materials.
• Support data cleaning and preliminary analysis under supervision.
• Engage in learning opportunities related to social science research methods.

Qualifications:

• Bachelor's degree in Sociology, Psychology, Political Science, Anthropology, Economics, or a related social science discipline.
• Familiarity with social science research methodologies and ethical guidelines.
• Proficiency in using standard office software (Microsoft Office Suite, Google Workspace).
• Basic understanding of statistical software (e.g., SPSS, R) is a plus.
• Strong written and verbal communication skills.
• Excellent organizational and time management abilities.
• Detail-oriented with a commitment to accuracy.
• Ability to work both independently and collaboratively.
• Willingness to commute to the office in Bhubaneswar as per the hybrid schedule.
• Eagerness to learn and develop research skills.

This hybrid position offers a flexible work arrangement combining remote tasks with essential on-site collaboration. The opportunity is located in Bhubaneswar, Odisha, IN .

Looking For ETL Data Analyst Having Experience in the Healthcare domain 

Greetings From 2COMS Group!

Total Exp - 5 to 10 yrs

Loc: Pune/Mumbai/Hyderabad/Bangalore/Chennai (5 days Working – WFO)

Healthcare business and data analysis

Job Description

• Create source-to-target mapping based on requirements

• Create rules definitions and transformation logic

• Gather and prepare analysis based on information from internal and external sources to evaluate and demonstrate program effectiveness and efficiency, and problem-solving

• Developing scalable reporting processes and querying data sources to conduct ad hoc analyses/detailed data profiling.

• Research complex functional data/analytical issues, good troubleshooting skill • Gather business requirements for analytical applications in iterative/agile development model.

• Assume responsibility for data integrity among various internal groups and/or between internal and external sources

• Proficient in SQL understands data modeling concepts and ETL

• Aware of or willing to learn key concepts of Kafka, Databricks, GitHub, Airflow, Azure storage to support DataOps incident remediation work

• Must have an aptitude for learning new data flows quickly and participate in data quality and automation discussions.

• Must be able to take end to end responsibility in quickly solving data issues in production setting and be comfortable in engaging customers as needed for issue resolution

Proficient in Business analysis, Data Analysis, Mapping data from one format to another, Healthcare data experience(must), SQL(must), Snowflake(preferred), Databricks(preferred), Kafka(preferred)

Undergraduate degree or equivalent experience

• 5 or more years of data analysis experience

• 5 or more years of systems analysis/requirement gathering experience

• 3+ year of Health Care/Claims data experience

BenefitsAs per Co norms

**Job Purpose**
+ Report to the Director Data Analytics and collaborate with the team to produce insights, perform exploratory data analysis for leadership requests and maintain data visualization tools delivering people and business metrics.
+ Design and develop compelling dashboards using advanced analytics, interactive dashboard design, and data storytelling techniques.
+ Deliver operational talent reports with data-driven narratives.
+ Engage with People team and business stakeholders to gather requirements and support scheduled/ad hoc reporting.
+ Develop, implement, and maintain dashboards and reports for key stakeholders (e.g., Executive Leadership, HR leaders, Business Partners).
+ Innovate to automate and streamline processes.
+ Responsible for data cleansing, validation, testing, and large-scale data analysis.
+ Handle sensitive human capital data with discretion and sound judgment.
+ Collaborate with project teams to ensure correct identification of data impacted by changes.
**Education:**
+ Bachelor's degree in engineering, Computer Science, Mathematics, or related technical field.
**Experience:**
+ 8+yrs of total experience with atleast 5yrs of relevant Experience in analytics roles working with large datasets.
+ Self-motivated, curious, independent, and eager to learn.
**Technical Skills:**
+ Analytics data modelling, storytelling, and visualization using tableau, Power BI, SQL, other advanced analytical tools
+ Exposure to R, Python is an added advantage.
+ Experience in Workday reporting, Viva GLINT, Visier, HR data systems.
+ Preprocessing structured/unstructured data.
+ Advanced MS Excel, PowerPivot, Power BI, Power Platform, DAX.
**Other Requirements:**
+ Ability to work in virtual teams across time zones.
+ Broad understanding of HR processes and metrics (e.g., Workforce Metrics, Recruitment, Compensation, Talent Management).
+ People management experience (a plus).
+ Knowledge of ERP, HR systems, and Business Intelligence tools.
+ Ability to handle stress and prioritize effectively with management support.

Embark on your professional journey with an exciting Graduate Trainee opportunity in Data Analysis. Our client is seeking ambitious and analytical individuals to join their dynamic team in **Dehradun, Uttarakhand, IN**. This role is designed to provide comprehensive training and hands-on experience in various data analysis methodologies and tools. You will be integral to the process of collecting, cleaning, and interpreting data sets to identify trends, patterns, and insights that will drive business decisions. Your responsibilities will include assisting senior analysts with data extraction from various sources, performing basic statistical analysis, creating visual representations of data such as charts and graphs, and contributing to the preparation of reports. The ideal candidate will possess a strong foundation in mathematics or statistics, excellent problem-solving skills, and a keen eye for detail. While this role offers a hybrid work model, fostering collaboration and flexibility, you will gain invaluable exposure to real-world data challenges within a supportive learning environment. We are looking for individuals who are eager to learn, possess a strong work ethic, and have a passion for uncovering meaningful information from data. A bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or a related discipline is required. Familiarity with data analysis tools like Excel, SQL, or Python (Pandas, NumPy) is a plus. Excellent communication skills, both written and verbal, are essential for presenting findings and collaborating with team members. This is a unique chance to develop critical skills in a thriving industry and contribute to significant projects. Successful candidates will have the opportunity to grow within the organization and potentially secure a full-time position upon successful completion of the traineeship.

Our client is offering an exciting Research Intern position focused on Data Analysis, located in Chennai, Tamil Nadu, IN . This internship provides an invaluable opportunity for bright and motivated students or recent graduates to gain hands-on experience in a professional research environment. You will work alongside experienced researchers and data scientists, contributing to ongoing projects that require meticulous data collection, cleaning, and analysis. Your responsibilities will include assisting in the design of experiments, gathering data from various sources, performing statistical analysis using relevant software, and contributing to the interpretation of findings. You will also be involved in preparing reports, presentations, and visualizations to communicate research outcomes effectively. This role requires a strong analytical mindset, attention to detail, and a passion for uncovering insights from data. Exposure to statistical software and programming languages commonly used in data analysis, such as Python or R, would be highly advantageous. The internship is designed to foster learning and development, providing mentorship and exposure to real-world research challenges. You will have the chance to learn about different research methodologies, data visualization techniques, and the practical application of analytical findings. This is an excellent stepping stone for individuals aspiring to build a career in data science, research, or analytics. Our client is committed to providing a supportive and stimulating learning environment where interns can make meaningful contributions.

Key Tasks:

• Assist in data collection and data entry processes.
• Perform data cleaning and preprocessing to ensure data quality.
• Conduct statistical analysis under the guidance of senior researchers.
• Create data visualizations to illustrate findings.
• Contribute to research reports and presentations.
• Learn and apply various data analysis techniques.
• Collaborate with team members on research projects.

Requirements:

• Currently pursuing or recently completed a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Basic understanding of statistical concepts and methods.
• Familiarity with data analysis tools or programming languages (e.g., Excel, Python, R) is a plus.
• Strong analytical and problem-solving skills.
• Excellent attention to detail and organizational abilities.
• Good written and verbal communication skills.
• Ability to work effectively in a team environment.
• Must be available for the duration of the internship at our Chennai, Tamil Nadu, IN office.

Our client is excited to offer an exceptional opportunity for a driven and analytical Graduate Trainee to join their team in **Ahmedabad, Gujarat, IN**, with a focus on remote work. This program is designed to provide recent graduates with hands-on experience in data analysis, equipping them with the skills and knowledge necessary to excel in the field. The Graduate Trainee will work closely with experienced data analysts, contributing to data collection, cleaning, processing, and interpretation for various business projects. This is an excellent pathway to kickstart a career in data science or business analytics.

Key responsibilities include assisting in the development of data models, performing statistical analysis, and creating visualizations to communicate findings effectively. The trainee will learn to use various data analysis tools and software, gaining practical experience in extracting meaningful insights from complex datasets. This role requires strong analytical and problem-solving abilities, attention to detail, and a willingness to learn. The ability to work collaboratively within a remote team environment is essential. This program emphasizes continuous learning and development, providing mentorship and exposure to real-world data challenges. Graduates will have the chance to make tangible contributions while building a strong foundation for their professional future.

Qualifications:

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong understanding of statistical concepts and data analysis methodologies.
• Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R) is a plus.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is desirable.
• Excellent analytical, critical thinking, and problem-solving skills.
• Strong communication and teamwork abilities.
• Ability to work independently and manage tasks effectively in a remote setting.

A dynamic and rapidly growing tech firm based in **Mysuru, Karnataka, IN** is looking for enthusiastic and bright Graduate Trainees to join their Data Analysis team. This is an excellent opportunity for recent graduates to gain hands-on experience in the field of data science and analytics within a supportive and innovative environment. The trainees will work closely with experienced data analysts and scientists, contributing to various projects involving data collection, cleaning, exploration, and visualization. You will gain exposure to industry-standard tools and techniques used for data manipulation and analysis. Key responsibilities will include assisting in the extraction and processing of data from various sources, performing exploratory data analysis to identify patterns and trends, and helping to create insightful data visualizations and reports. The trainees will also support the team in building and testing basic analytical models. This internship program is designed to provide comprehensive training and mentorship, enabling participants to develop essential skills in data interpretation, statistical analysis, and reporting. The ability to learn quickly, a strong aptitude for quantitative reasoning, and a keen eye for detail are essential. While prior experience is not required, a genuine interest in data and a foundational understanding of mathematics and statistics would be advantageous. This role offers a chance to contribute to real-world business problems and develop a strong foundation for a career in data analytics. You will be part of a collaborative team, where learning and skill development are highly encouraged. The successful candidates will demonstrate strong problem-solving skills, excellent communication abilities, and a proactive attitude towards learning and contributing.

Responsibilities:

• Assist in collecting, cleaning, and organizing data from various sources.
• Perform exploratory data analysis (EDA) to identify trends and patterns.
• Create data visualizations and reports to communicate findings.
• Support data scientists and analysts in developing analytical models.
• Contribute to data quality checks and validation processes.
• Learn and apply various data analysis tools and techniques.
• Participate in team meetings and contribute to project discussions.
• Assist in documenting data analysis processes and methodologies.
• Understand business requirements and translate them into data analysis tasks.
• Develop basic skills in statistical analysis and reporting.

Qualifications:

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong foundational knowledge of statistical concepts and principles.
• Basic understanding of data analysis and visualization techniques.
• Proficiency in MS Excel and familiarity with data analysis software (e.g., Python, R, SQL - basic knowledge is a plus).
• Excellent analytical and problem-solving skills.
• Strong communication and interpersonal abilities.
• Eagerness to learn and a proactive attitude.
• Ability to work effectively in a team environment.
• Attention to detail and accuracy.

Our client is seeking bright and eager Graduate Trainees for their Data Analysis team. This is a fully remote position, ideal for recent graduates passionate about data, statistics, and uncovering insights. You will be trained to work with large datasets, perform statistical analysis, create visualizations, and contribute to data-driven decision-making across the organization. This is an excellent entry-level opportunity to build a career in data science and analytics.

Responsibilities:

• Assist in collecting, cleaning, and organizing data from various sources.
• Perform basic statistical analysis on datasets to identify trends and patterns.
• Create clear and concise data visualizations (charts, graphs) to communicate findings.
• Support senior analysts in developing reports and dashboards.
• Learn and apply data analysis tools and techniques.
• Contribute to data quality checks and validation processes.
• Collaborate with cross-functional teams to understand data needs.
• Assist in interpreting data and providing actionable insights.
• Participate in training sessions to enhance data analysis skills.
• Document methodologies and findings for future reference.

Qualifications:

• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Data Science, or a related quantitative field.
• Recent graduates with a strong academic background in quantitative subjects.
• Basic understanding of statistical concepts and methods.
• Proficiency in Microsoft Excel is required.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Knowledge of programming languages like Python or R is a plus.
• Excellent analytical and problem-solving abilities.
• Strong communication skills, both written and verbal.
• Ability to work independently and manage time effectively in a remote setting.
• Eagerness to learn and adapt to new technologies and methodologies.

This is a remote role open to candidates across India, allowing you to contribute meaningfully from anywhere. Join our team and embark on an exciting journey in the world of data analytics.Location: This role is **fully remote**. The specified location is for reference.