Company Description 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
Job Description
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
Qualifications
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.