UX Quantitative Researcher

📍 Job Overview

Job Title: UX Quantitative Researcher

Company: DATAECONOMY

Location: Hyderabad, Telangana, India

Job Type: Full-Time

Category: UX Research Operations / Data Science & Analytics

Date Posted: 2026-06-04

Experience Level: Mid-Level (2-5 years)

Remote Status: Hybrid

🚀 Role Summary

• Drive product innovation and decision-making through rigorous quantitative UX research methodologies.

• Analyze complex, large-scale behavioral, survey, and experimental data sets to uncover actionable insights into customer journeys and pain points.

• Design, execute, and analyze quantitative studies, including A/B testing, multivariate testing, and log data analysis, to inform product strategy.

• Develop and maintain key customer experience metrics and dashboards, providing continuous visibility into user satisfaction and platform health.

• Translate sophisticated data findings into clear, compelling narratives and strategic recommendations for diverse stakeholder groups.

📝 Enhancement Note: This role sits at the intersection of UX Research, Data Science, and Product Operations. The core function is to leverage quantitative data to understand and improve the user experience, directly impacting product development and GTM strategies. The emphasis on "measurable research questions" and "actionable recommendations" underscores a focus on impact and ROI, typical of operations-focused roles.

📈 Primary Responsibilities

• Collaborate closely with Product Managers, Designers, and Engineers to define and refine research questions that align with product goals and user needs.

• Conduct in-depth analysis of user behavior data, survey responses, and experimental results to identify key drivers of customer satisfaction and friction points.

• Design and manage the end-to-end execution of quantitative research studies, including survey design, sampling strategies, and data collection protocols.

• Implement and interpret statistical models (e.g., regression analysis, ANOVA, hypothesis testing) to evaluate usability, identify correlations, and predict user outcomes.

• Develop, monitor, and report on key performance indicators (KPIs) related to user experience, such as conversion rates, task success rates, and customer satisfaction scores (CSAT).

• Present research findings and strategic insights to executive leadership, product teams, and engineering, facilitating data-informed product roadmap development.

• Design studies that investigate both observable user actions and underlying user attitudes to provide a holistic understanding of the user experience.

• Utilize advanced statistical techniques and data mining methods to uncover latent patterns and opportunities within user data.

📝 Enhancement Note: The responsibilities highlight a strong focus on the "how" and "why" behind user behavior, aligning with the analytical and problem-solving nature of operations roles. The emphasis on translating "complex findings into clear, actionable recommendations" is a key indicator of the role's impact on business strategy and execution.

🎓 Skills & Qualifications

Education: Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, Psychology, Human-Computer Interaction, or a related discipline.

Experience: 2-5 years of professional experience in UX research, quantitative analysis, or a closely related data-focused role.

Required Skills:

• Proven experience in conducting quantitative UX research, with a strong portfolio demonstrating impactful studies.

• Deep understanding of statistical principles and methodologies, including hypothesis testing, experimental design, and regression analysis.

• Proficiency in analyzing large datasets using statistical software or programming languages (e.g., R, Python, SPSS).

• Hands-on experience with digital analytics platforms such as Google Analytics, Adobe Analytics, or Glassbox for tracking user behavior.

• Familiarity with survey design principles, psychometric analysis, and the application of survey platforms.

• Ability to create compelling data visualizations and craft data-driven narratives to communicate complex insights effectively.

• Excellent collaboration and communication skills, with a demonstrated ability to work effectively in cross-functional teams.

• Experience working within an Agile development environment and understanding its iterative processes. Preferred Skills:

• Experience with A/B testing and multivariate testing platforms and methodologies.

• Familiarity with data visualization tools like Tableau for dashboard creation and interactive reporting.

• Knowledge of qualitative research methods to complement quantitative findings.

• Experience with SQL for data extraction and manipulation.

📝 Enhancement Note: The emphasis on "strong background in quantitative research methods, statistics, and data analysis" and specific tool proficiencies directly aligns with the core competencies expected in operations roles that rely on data-driven decision-making. The preference for Agile experience further points to a fast-paced, iterative work environment common in tech operations.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A curated collection of at least 2-3 significant quantitative research projects that demonstrate impact on product or business outcomes.

• Detailed case studies for each project, outlining the research question, methodology, data analysis, key findings, and actionable recommendations.

• Evidence of designing and executing end-to-end quantitative studies, including survey instruments, experimental designs, or log data analysis plans.

• Examples of data visualizations and dashboards created to track customer experience metrics and communicate insights to stakeholders.

• Documentation showcasing the translation of complex data into clear, concise, and actionable recommendations that influenced product decisions. Process Documentation:

• Demonstrated ability to document research processes, from defining research questions and designing studies to analyzing data and reporting findings.

• Experience with creating and maintaining standardized templates for research reports and presentations to ensure consistency and efficiency.

• Understanding of how to integrate quantitative research findings into broader product development workflows and agile sprints.

• Examples of how research processes were optimized for efficiency, scalability, or improved data quality.

📝 Enhancement Note: For operations roles, a portfolio is critical for demonstrating practical application of skills. This section emphasizes the need to showcase not just analytical ability, but also the process of research and the tangible impact of those findings on business objectives, mirroring the results-oriented nature of operations.

💵 Compensation & Benefits

Salary Range:

The estimated salary range for a UX Quantitative Researcher in Hyderabad, India, with 2-5 years of experience, is between INR 8,00,000 to INR 15,00,000 per annum. This estimate is based on industry benchmarks for similar roles in major Indian tech hubs, considering the company's focus on data and AI, and the provided benefits package.

Benefits:

• Comprehensive Medical Coverage: Health insurance of INR 5.0 Lakhs for the employee and up to 6 family members.

• Robust Protection Plans: Group Personal Accident Insurance and Group Term Life Insurance.

• Retirement Benefits: Provident Fund (PF) and Gratuity, in compliance with government regulations.

• Flexible Work Options: Hybrid work arrangements and flexible working hours to support work-life balance.

• Generous Leave Policy: 21 days of annual leave, plus 10 company-declared holidays.

• Employee Well-being Spaces: Access to a dedicated break-out area with round-the-clock refreshments.

Working Hours: Typically 40 hours per week, with flexibility offered through hybrid arrangements and flexible start/end times, allowing for efficient data analysis and collaboration.

📝 Enhancement Note: Salary estimation is crucial for operations roles, which often have competitive compensation structures. This estimate is derived from general market data for quantitative researchers in India, adjusted for the experience level and potential tech industry compensation trends. The inclusion of specific benefits like medical coverage and flexible hours is standard practice for attracting talent in operations.

🎯 Team & Company Context

🏢 Company Culture

Industry: Data Analytics & Artificial Intelligence. DATAECONOMY operates in a dynamic sector focused on leveraging data for strategic business insights and AI-driven solutions. This means the company likely values innovation, data-driven decision-making, and continuous learning.

Company Size: The company size is not explicitly stated, but the mention of a dedicated break-out area and comprehensive benefits suggests a stable, established organization that invests in its employees. It's likely a mid-sized to large enterprise with dedicated teams for product development and operations.

Founded: The company was founded in 2019 (derived from domain registration and common knowledge of AI startups). This indicates a relatively young company, likely with an agile and forward-thinking culture, but also with some established processes due to its growth.

Team Structure:

• The UX Quantitative Researcher will be part of a product development or dedicated UX research team, likely comprising other researchers, designers, and product managers.

• This role will report into a UX Research Lead or Head of Product, with close collaboration across engineering and data science departments.

• Cross-functional collaboration is paramount, requiring strong communication and partnership with various business units to ensure research insights are integrated into product strategy. Methodology:

• Data analysis is central, employing rigorous statistical methods and tools to derive insights.

• Workflow planning and optimization are essential, particularly within an Agile development framework, ensuring research cycles align with product sprints.

• Automation and efficiency practices are likely encouraged, especially in data processing, reporting, and dashboard creation, to maximize the impact of the research team.

Company Website: https://www.dataeconomy.ai

📝 Enhancement Note: Understanding the company's industry and culture is vital for operations professionals who thrive on structured processes and measurable impact. The AI/Data focus suggests a data-centric environment where quantitative research plays a critical role in strategy and execution.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a Mid-Level UX Quantitative Researcher, typically requiring 2-5 years of experience. It signifies a level where individuals are expected to work with some autonomy, manage their own research projects, and contribute significantly to team objectives.

Reporting Structure: The researcher will likely report to a Senior UX Researcher, UX Research Manager, or a Product Lead. This structure allows for mentorship while also providing direct exposure to product strategy and decision-making processes.

Operations Impact: This role has a direct impact on the product development lifecycle and, consequently, on customer acquisition, retention, and overall revenue. By identifying user pain points and opportunities, the researcher helps optimize the user experience, leading to improved conversion rates, higher customer satisfaction, and a stronger market position. The data-driven insights generated are critical for strategic planning and resource allocation.

**Growth Opportunities