Associate Data Research Analyst | Rajkot

About Our Company - TSS Consultancy is a rapidly growing product-based company dedicated to delivering comprehensive solutions tailored to the unique needs of Fintech and Regtech organizations. Our mission is to fight financial crime through innovation and expertise. With a keen understanding of the market, we have developed cutting-edge products that set us apart in the industry. - Our commitment to excellence has earned us the trust and partnership of some of the most prestigious institutions. We proudly serve 9 out of the top 10 brokers, 4 out of the top 5 private sector banks, and 3 out of the top 4 exchanges. Our client portfolio extends further, including leading financial institutions and regulatory bodies, reinforcing our reputation as a reliable and forward-thinking partner. - We have our vibrant offices in the cities of Mumbai, Rajkot and Gandhinagar. In our growing presence we currently have our clients across India, South Africa and USA.For more information : www.trackwizz.com We are seeking a Data Research Analyst to conduct internet-based research, collect and validate information, maintain high-quality datasets, and support data-driven decision-making. The ideal candidate should possess strong research skills, analytical thinking, attention to detail, and proficiency in Excel and Microsoft Office tools.   Research & Data Collection - Conduct primary research through internet-based sources, public databases, government websites, company websites, and other credible sources. - Gather, validate, and update information from multiple data sources. - Evaluate source credibility and ensure data accuracy. - Document research findings and maintain supporting references.   Data Analysis & Reporting - Analyze and interpret datasets using Excel and other analytical tools. - Identify trends, patterns, inconsistencies, and missing information. Prepare reports, summaries, and data-driven insights for internal stakeholders. - Support ad-hoc research and business analysis requests.   Data Quality & Data Management - Ensure data accuracy, completeness, consistency, and timeliness. - Perform data cleansing, deduplication, standardization, and validation activities. - Maintain structured databases and repositories. - Follow established data governance and quality control procedures.   Process Improvement - Identify opportunities to improve research processes and data management workflows. - Contribute to the development of standard operating procedures (SOPs). - Support automation initiatives and adoption of AI-powered research tools. - Recommend improvements to enhance productivity and data quality.   Required SkillsResearch Skills - Strong internet research and information-gathering capabilities. - Understanding of research methodologies and source validation. - Ability to work with large volumes of information while maintaining accuracy.   Data & Analytical Skills - Good analytical and problem-solving skills. - Strong attention to detail and data quality. - Ability to identify inconsistencies and validate information. - Comfortable working with structured and unstructured data.   Technical Skills - Good proficiency in Microsoft Excel (VLOOKUP/XLOOKUP, Pivot Tables, Data Cleaning, Formulas). - Working knowledge of Microsoft Office Suite (Excel, Word, PowerPoint, Outlook). - Familiarity with Google Workspace tools is a plus. - Basic understanding of data analysis concepts and reporting.   Technology & AI Skills - Familiarity with AI tools such as ChatGPT, Gemini, Copilot, Perplexity, or similar platforms. - Comfortable learning and adopting new technologies and software tools. - Strong technical aptitude and willingness to work with data-driven systems.   Communication Skills - Good written and verbal communication skills. - Ability to present research findings in a clear and structured manner. - Strong organizational and documentation skills.   Preferred Attributes - Curious and research-oriented mindset. - High attention to detail and accuracy. - Ability to work independently and collaboratively. - Strong ownership and willingness to learn. - Comfortable working in a fast-paced, data-driven environment.   Key Performance Indicators (KPIs) - Research Accuracy - Data Quality Score - Productivity and Throughput - Timely Completion of Assignments Quality Review Pass Rate - Process Improvement Contribution   Required Qualifications Education :  Bachelor’s degree in any discipline. Experience - 0–3 years of experience in research, data analysis, business operations, data entry, market research, or related fields. - Fresh graduates are encouraged to apply.