Job Title: Web Research Analyst
Company: Straive
Location: Remote
Experience Level: Fresher
Employment Type: Full-time
Job Overview: Web Research Analyst
Straive is seeking enthusiastic and detail-oriented Web Research Analysts to join our team for a 6-month consultant role. This position is ideal for fresh graduates who have a knack for web research, data analysis, and information extraction. The role involves gathering information from various online sources, analyzing academic and research-based data, and ensuring its accuracy.
If you have strong analytical skills, basic Excel knowledge, and a keen interest in research, this role is perfect for you. You will play a critical role in collecting and validating data related to dissertations, theses, faculties, and academic disciplines.
Roles and Responsibilities: Web Research Analyst
- Conduct web-based research to gather relevant data from various academic and research-oriented sources.
- Extract and analyze dissertation and thesis-related data, including student names, advisor details, department, organization, dissertation title, abstract, discipline, and degree issue date.
- Identify and map collected data with a predefined vocabulary list for structured classification.
- Collect profile IDs, grant IDs, and organization IDs from the given database.
- Perform data validation checks to ensure accuracy and adherence to predefined conditions.
- Work with MS Excel spreadsheets to document, clean, and organize collected data.
- Ensure productivity and quality levels are met according to company standards.
- Collaborate with team members to improve research methodologies and workflows.
- Maintain strict confidentiality and data integrity while handling research information.
- Stay updated with academic research trends and methodologies for efficient data collection.
Required Skills & Qualifications: Web Research Analyst
Education: Web Research Analyst
- Any undergraduate or postgraduate degree (Candidates from research backgrounds will have an advantage).
Skills & Competencies: Web Research Analyst
- Strong analytical and problem-solving skills.
- Basic understanding of web research methodologies.
- Proficiency in MS Excel (Data entry, filtering, sorting, and basic formulas).
- Familiarity with academic research terminologies, candidates, theses, and dissertations.
- Good communication skills (Both written and verbal).
- Ability to interpret data, analyze results, and generate meaningful insights.
- Attention to detail and the ability to identify and correct errors.
- Strong teamwork and collaboration skills.
- A proactive attitude, adaptability, and a willingness to learn.
- Must be flexible with work schedules and open to handling multiple tasks.
Work Environment & Requirements: Web Research Analyst
- This is a work-from-home (WFH) role.
- Candidates must have their own laptop/PC with a Wi-Fi connection.
- Training and guidance will be provided to ensure smooth workflow integration.
- Working hours are flexible but require dedication to meet deadlines.
Why Join Straive?
- Gain hands-on experience in web research and data analytics.
- Opportunity to work in a dynamic and research-driven environment.
- Improve your data collection and analytical skills.
- Work remotely with a global team.
- Potential for career growth in research, data analysis, and information management.
Interview Questions & Sample Answers for Web Research Analyst
1. What is web research, and why is it important in this role?
Answer: Web research involves systematically searching online sources to gather and analyze information. In this role, it is crucial for collecting dissertation and thesis data, ensuring accuracy, and structuring information for further analysis.
2. How do you ensure data accuracy while conducting web research?
Answer: I cross-check information from multiple reliable sources, validate details using predefined conditions, and use tools like Excel to organize and verify data accuracy. I also ensure consistency by mapping data with a standardized vocabulary list.
3. What are some key challenges in web research, and how would you overcome them?
Answer: Common challenges include finding reliable sources, dealing with incomplete data, and verifying authenticity. To overcome these, I use trusted academic databases, compare data from multiple sources, and follow a structured approach to validation.
4. Can you explain some basic Excel functions that can help in this role?
Answer: Yes, key Excel functions for this role include:
- VLOOKUP for searching specific data within a dataset.
- FILTER & SORT for organizing collected data.
- CONCATENATE for combining text from multiple fields.
- COUNTIF & SUMIF for counting and summing specific data points.
- Conditional Formatting for highlighting discrepancies in data.
5. What steps would you take if you find incorrect data in your research?
Answer: I would recheck the original source, compare it with alternative sources, apply validation rules, and discuss any inconsistencies with the team to ensure accuracy before finalizing the data.
6. How would you prioritize tasks in a fast-paced research environment?
Answer: I would prioritize tasks based on deadlines, complexity, and data availability. I would also use task management tools or spreadsheets to track progress and ensure timely completion.
7. How comfortable are you working with predefined guidelines and structured data formats?
Answer: I am highly comfortable working with structured data formats and guidelines. Following predefined rules ensures data consistency, accuracy, and ease of interpretation for further analysis.
8. Do you have any experience with academic research or data collection?
Answer: Yes, during my academic tenure, I worked on research projects that involved gathering, analyzing, and interpreting data from various sources. I also used Excel and online databases for organizing information.
9. What motivates you to work in a web research role?
Answer: I enjoy analyzing data, uncovering insights, and ensuring accuracy in research work. The ability to contribute to academic and professional research fields motivates me to perform efficiently in this role.
10. Where do you see yourself in the next five years?
Answer: In five years, I see myself advancing in the field of data analytics, market research, or academic research. I plan to enhance my skills in data science and contribute to meaningful research projects that have real-world impact.
How to Apply?
If you are interested in this opportunity, click Register to Apply or Login to Apply on the job portal.
We look forward to welcoming motivated individuals who are passionate about web research and data collection into our team!