Key Responsibilities: Validate survey logic and structure to ensure accurate data collection. Monitor incoming data for inconsistencies, errors, or unusual patterns. Perform data cleaning and transformation using tools like Excel, SPSS, etc Develop and maintain data quality checks and automation scripts for efficiency. Collaborate with research and operations teams to resolve data-related issues. Ensure alignment of data with project objectives and client requirements. Prepare data quality reports and provide actionable recommendations where needed. Cross check sample representativeness and response integrity across key demographics. Support processing and other reporting teams by delivering clean and structured data. Contribute to process improvement initiatives to enhance data accuracy and reliability. Requirements: Proficiency in data cleansing, validation, and preparation to ensure accuracy and consistency. Ability to analyze, explore, and segment datasets for actionable insights. Strong knowledge of statistics and statistical packages such as Excel OR SPSS. Experience in creating and applying algorithms to identify trends, outliers, and errors in large datasets. Familiarity with survey platforms (e.g., Decipher, Qualtrics, Confirmit) and understanding of survey logic and flow. Expertise in data visualization and creating dashboards using tools. Competence in visual storytelling with data. Knowledge of sampling methods. Proven experience in data analysis and data quality management within market research. Strong mathematical and problem-solving abilities. Solution-oriented mindset. Some expertise in AI. High accuracy and attention to detail. Excellent written and verbal communication skills Strong team-working skills and the ability to collaborate with project managers, researchers, and technical teams. Comfortable managing multiple projects. Comfortable working flexible hours Interested candidates can DM or send their resume to anusha.devadasan@iresearchservices.com / 8799804312.
Research Analyst Primary Responsibilities Ensure to deliver maximum volume of work in timely manner. Able to achieve job assignments in accordance with the expectation. Managing service quality and timeliness in the delivery of the work. Develop and maintain Research material and current service knowledge. Timely updating on completion of work to immediate managers and supervisors. Required Skills and Qualifications Minimum of 2-3 years of experience of conducting primary research (Qualitative and quantitative interviews) for different sectors across various regions in the globe. Sector experience in FMCG/Technology/Finance would be preferred. 2 - 5 years of investment industry experience with a passion for the industry and strong working knowledge of asset management or equity research is an advantage Ability to develop strong working relationships with senior executives and use their insights. Working on ad-hoc custom research assignments and produce timely and accurate insights. Target Oriented and Meeting all internal and external deadlines. Flexibility to work in shifts. Good communication skills (both written and spoken) in Business English. Fair exposure to the Market Research industry and experience of 2-3 years in conducting research interviews. Should be a quick learner, team player, innovative thinker and able to deliver results under tight deadlines. Good working knowledge of Excel and MS Word. Good secondary research skills Interested candidates can DM or send their resume to anusha.devadasan@iresearchservices.com / 8799804312 .
Job Title: Research Analyst Reports to: Team Leader/ Manager (or as designed by the company) Qualification & Experience: Educational & Professional Qualification: Bachelors degree Experience: 0-3 Years Primary Responsibilities : Ensure to deliver maximum volume of work in timely manner. Able to achieve job assignments in accordance with the expectation. Managing service quality and timeliness in the delivery of the work. Develop and maintain Research material and current service knowledge. Timely updating on completion of work to immediate managers and supervisors. Required Skills and Qualifications : Minimum of 2-3 years of experience of conducting primary research (Qualitative and quantitative interviews) for different sectors across various regions in the globe. Sector experience in FMCG/Technology/Finance would be preferred. 2 - 5 years of investment industry experience with a passion for the industry and strong working knowledge of asset management or equity research is an advantage Ability to develop strong working relationships with senior executives and use their insights. Working on ad-hoc custom research assignments and produce timely and accurate insights. Target Oriented and Meeting all internal and external deadlines. Flexibility to work in shifts. Good communication skills (both written and spoken) in Business English. Fair exposure to the Market Research industry and experience of 2-3 years in conducting research interviews. Should be a quick learner, team player, innovative thinker and able to deliver results under tight deadlines. Good working knowledge of Excel and MS Word. Good secondary research skills
A Data Quality Analyst must ensure the accuracy, consistency, and reliability of the data collected through surveys and other research methods. They validate and clean datasets, identify anomalies or gaps, and implement quality control processes throughout the research lifecycle. The role is crucial in delivering credible insights to clients by maintaining high data integrity. They also must collaborate with project managers, researchers, and analysts to ensure that data meets both internal standards and client expectations. Responsibilities Validate survey logic and structure to ensure accurate data collection. Monitor incoming data for inconsistencies, errors, or unusual patterns. Perform data cleaning and transformation using tools like Excel, SPSS, etc Develop and maintain data quality checks and automation scripts for efficiency. Collaborate with research and operations teams to resolve data-related issues. Ensure alignment of data with project objectives and client requirements. Prepare data quality reports and provide actionable recommendations where needed. Cross check sample representativeness and response integrity across key demographics. Support processing and other reporting teams by delivering clean and structured data. Contribute to process improvement initiatives to enhance data accuracy and reliability. Requirements Proficiency in data cleansing, validation, and preparation to ensure accuracy and consistency. Ability to analyse, explore, and segment datasets for actionable insights. Strong knowledge of statistics and statistical packages such as Excel OR SPSS. Experience in creating and applying algorithms to identify trends, outliers, and errors in large datasets. Familiarity with survey platforms (e.g., Decipher, Qualtrics, Confirmit) and understanding of survey logic and flow. Expertise in data visualization and creating dashboards using tools. Competence in visual storytelling with data. Knowledge of sampling methods. Proven experience in data analysis and data quality management within market research. Strong mathematical and problem-solving abilities. Solution-oriented mindset. Some expertise in AI. High accuracy and attention to detail. Excellent written and verbal communication skills Strong team-working skills and the ability to collaborate with project managers, researchers, and technical teams. Comfortable managing multiple projects. Comfortable working flexible hours. Skills Data Analysis, Data Cleaning, Data Quality, Data Validation, Online Data Collection, Secondary Research
SRA- As a Senior Research Analyst at iResearch Services, you will play a pivotal role in delivering high-quality insights that inform strategic decisions for global clients. This role is ideal for someone with a strong background in desk research, data interpretation, quality control, and market intelligence. You will be expected to synthesize information from multiple sources, identify emerging trends, and ensure accuracy and consistency across deliverables. Working closely with cross-functional teams, you ll support the development of insights for Fortune 500 companies, consultancies, and industry leaders. Responsibilities Conduct comprehensive secondary (desk) research across industries, markets, and geographies using reliable public and subscription-based sources. Analyse and interpret data trends, patterns, and shifts to support content development, whitepapers, and strategic reports. Ensure data quality, accuracy, and consistency across all outputs, with strong attention to detail in validation and citation. Collaborate with internal stakeholders including project management team to meet project timelines and quality standards. Support the integration of qualitative and quantitative findings into compelling narratives. Monitor industry developments and provide real-time intelligence to internal teams and clients. Proactively identify gaps in existing research and offer innovative solutions to enhance findings and recommendations. Mentor and contribute to knowledge-building sessions within the team. Requirements 3-6 years of experience in a research, consulting, or analytics role with a strong foundation in desk research and data analysis. Proficiency in secondary research techniques using databases like Factiva, Statista, ZoomInfo, SP Strong command over Excel, PowerPoint, and basic knowledge of data visualization tools (e.g., Power BI, Tableau) . Ability to work with large volumes of data, identify key insights, and present findings in a structured, insightful manner. Detail-oriented with a commitment to data accuracy and quality control. Excellent written and verbal communication skills with the ability to craft concise research summaries. Comfortable working in a fast-paced, deadline-driven environment. A degree in Economics, Business, Market Research, or a related field. Master s preferred. Experience in thought leadership, B2B research, or professional services industry is a strong advantage.
We are seeking a proactive and technically strong Full Stack Developer (MERN + Python AI) to join our growing internal software development team. This role is critical to supporting our ongoing digital transformation initiatives across departments such as Market Research, Lead Generation, Voice Quality Audits, and Thought Leadership. The ideal candidate will work on building new web applications, enhancing existing systems, and integrating cutting-edge AI capabilities to automate and optimize business processes. The developer will work extensively on crafting intuitive user interfaces using React.js, along with clean HTML, CSS, and responsive design principles to deliver user-friendly internal tools. This includes implementing dashboards, form-based interfaces, and real-time data visualizations. On the backend, the role involves developing secure and scalable APIs, integrating MongoDB for storage, and embedding Python AI functionalities to add intelligence to internal products and will also contribute to Python-based AI/ML projects. The role demands hands-on experience in building scalable and interactive web interfaces (React), designing secure backend APIs (Node.js), managing data with MongoDB, and integrating Python models for NLP, data classification, and intelligent reporting. This position offers an exciting opportunity to work on real-world AI solutions that directly impact our service delivery, operations, and client satisfaction. Responsibilities Develop and maintain full-stack applications using React.js, Node.js, Express, and MongoDB. Design intuitive user interfaces and efficient backend APIs for internal tools used by multiple departments. Collaborate with business stakeholders to understand functional requirements and translate them into technical features. Integrate Python-based AI/ML models into React applications for use cases like automated survey analysis, lead scoring, content summarization, and voice quality assessment. Contribute to AI-driven internal tools that support market research insights, data enrichment, and workflow automation. Ensure security, scalability, and performance of developed applications. Maintain coding standards, documentation, and best practices across all projects. Debug, test, and enhance existing applications as per evolving business needs. Participate in code reviews and cross-functional team meetings. Work closely with the Data and AI teams to implement features using NLP, vector search, embeddings, and model APIs (OpenAI, Azure AI). Track development milestones and participate in Agile sprint planning. Requirements 1-2 years of hands-on experience in full-stack development using the MERN stack. Strong command over React.js (components, hooks, routing, UI libraries like Tailwind/Material UI). Backend development experience with Node.js, Express, and API integration. Familiarity with MongoDB, Mongoose, and data modelling. Good understanding of RESTful APIs, JWT-based authentication, and role-based access control. Build and maintain full-stack applications using React.js (frontend), Node.js/Express (backend), and MongoDB. Develop modern and responsive UI components with HTML5, CSS3, and JavaScript, using frameworks like Tailwind CSS or Bootstrap. Translate UX wireframes and business requirements into pixel-perfect frontend implementations. Design intuitive dashboards, workflows, and admin panels to support various internal departments. Hands-on experience with Python development, especially for AI/ML projects (NLP, classification, summarization, etc.). Exposure to OpenAI, Lang Chain, Azure AI, or similar platforms for integrating AI into applications. Experience integrating Python models into Node or frontend layers. Familiarity with Git, CI/CD pipelines, Docker, and deployment workflows. Strong problem-solving and analytical thinking. Good communication skills and ability to work in a cross-functional, agile team. Bonus: Knowledge of additional languages like dot net and AI frameworks will be an added advantage.