Data Researcher
Overview:
As a Data Researcher you will play a pivotal role in collecting organizing and analyzing data to support organizational decisionmaking 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 indepth 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 crossfunctional teams to support datadriven decisionmaking.
- 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 datadriven strategies and initiatives.
- Provide support in data governance and compliance efforts.
- Collaborate with IT teams to optimize data management processes.
Required Qualifications:
- Bachelors 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 nontechnical stakeholders.
- Strong problemsolving 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 crossfunctional 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.
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