Roles & Responsibilities
- Evaluating business processes anticipating requirements uncovering areas for improvement and developing and implementing solutions.
- Performing requirements analysis.
- Documenting and communicating the results of your efforts.
- Effectively communicating your insights and plans to crossfunctional team members and management.
- Gathering critical information from meetings with various stakeholders and producing useful reports.
- Working closely with clients technicians and managerial staff.
- Allocating resources and maintaining cost efficiency.
- Ensuring solutions meet business needs and requirements.
- Updating implementing and maintaining procedures.
- Prioritizing initiatives based on business needs and requirements.
- Serving as a liaison between stakeholders and users.
- Monitoring deliverables and ensuring timely completion of projects.
Preferred Qualifications:
- Basic knowledge of statistics and familiarity with statistical concepts such as probability hypothesis testing regression analysis and statistical inference.
- Understanding of descriptive statistics and measures of central tendency and variability.
- Ability to apply statistical techniques to analyze and interpret data.
- Experience in working with statistical software or programming languages commonly used in data science (e.g. Python SPSS).
- Knowledge of survey designing.
- Understanding of statistical models and their applications in predictive analytics.
- Ability to effectively communicate statistical findings to both technical and nontechnical stakeholders.
- Strong critical thinking skills and the ability to solve complex problems using statistical analysis.
- Continuous learning and staying updated with advancements in statistical methods and tools used in data science.
Basic software to know
- Basics of Excel / Python / SQL / Power BI
- Knowledge of making presentations using power point
- Knowledge of python programing language and machine learning algorithms.
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