We are hiring for our client - Tridev Infoways.
Data Researcher
Overview
As a Data Researcher, you will play a pivotal role in collecting, organizing, and analyzing data to support organizational decision-making and strategic planning. Your work is crucial in providing accurate, insightful, and actionable information that enables the organization to stay competitive and responsive to market trends.
Key Responsibilities
- Conduct in-depth research to gather and validate data from various sources.
- Organize and maintain databases, ensuring data accuracy and integrity.
- Analyze and interpret complex data sets to identify trends, patterns, and correlations.
- Create visualizations and reports to present research findings effectively.
- Collaborate with cross-functional teams to support data-driven decision-making.
- Utilize statistical modeling and predictive analytics to generate actionable insights.
- Stay abreast of industry trends and best practices in data research and analysis.
- Identify and address data quality issues and inconsistencies.
- Develop and implement data collection methodologies and tools.
- Keep updated records of research methodologies, sources, and findings.
- Participate in the design and execution of research projects and surveys.
- Contribute to the development of data-driven strategies and initiatives.
- Provide support in data governance and compliance efforts.
- Collaborate with IT teams to optimize data management processes.
Required Qualifications
- Bachelor's degree in Statistics, Computer Science, Mathematics, Economics, or related field.
- Proven experience in conducting data research and analysis.
- Proficiency in statistical analysis tools such as R, Python, or SAS.
- Strong understanding of database management and data warehousing concepts.
- Excellent analytical and critical thinking abilities.
- Proficiency in data visualization tools such as Tableau or Power BI.
- Ability to effectively communicate complex findings to non-technical stakeholders.
- Strong problem-solving skills and attention to detail.
- Experience with machine learning and predictive modeling techniques.
- Knowledge of data privacy regulations and best practices.
- Ability to work effectively in a collaborative, cross-functional team environment.
- Solid understanding of research methodologies and best practices.
- Proficiency in SQL and database querying.
- Ability to manage multiple projects with competing deadlines.
- Strong written and verbal communication skills.
Skills: research,data management,statistical modeling,decision-making,database,projects
