Decision Analytics Associate Consultant Primary Research

Naukri Assist; Gurugram District; On-site; INR 600,000 - 900,000; Full time

Job summary

Naukri Assist is seeking a results-led Market Research professional based in Haryana to drive data-led decisions for clients. You will conduct quantitative and qualitative research, analyze datasets, and develop actionable insights to inform strategy and operations.

Collaborating with cross-functional teams, you will design frameworks, prepare concise reports, and deliver presentations that translate complex findings into clear recommendations for stakeholders.

Qualifications

• 3-6 years of experience in primary market research or a related field.
• Strong skills in both quantitative and qualitative research methods.
• Ability to analyze large datasets using SPSS.
• Excellent communication skills with the ability to present complex information clearly.

Responsibilities

• Conduct quantitative and qualitative research to identify trends, patterns, and insights that inform business decisions.
• Analyze data from various sources to develop actionable recommendations for clients.
• Collaborate with cross-functional teams to design and implement effective decision-making frameworks.
• Develop presentations and reports summarizing findings and results.

Skills

Quantitative research

Qualitative research

Data analysis

Presentation skills

Tools

SPSS

Job description

Roles and Responsibilities :

• Conduct quantitative and qualitative research to identify trends, patterns, and insights that inform business decisions.


• Analyze data from various sources to develop actionable recommendations for clients.


• Collaborate with cross-functional teams to design and implement effective decision-making frameworks.


• Develop presentations and reports summarizing findings and results.

Job Requirements :

• 3-6 years of experience in primary market research or a related field.


• Strong skills in both quantitative (e.g., surveys) and qualitative (e.g., focus groups) research methods.


• Ability to analyze large datasets using statistical software (e.g., SPSS).


• Excellent communication skills with the ability to present complex information clearly.