Data yst and Data Science
Data yst and Data Science
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1 Vacancy
Job Description
Data Analyst Job Description
- Gather and interpret data from diverse sources (e.g. databases web analytics).
- Cleanse and validate data to ensure accuracy and consistency.
- Analyze data utilizing statistical methods and produce insightful reports.
- Create dashboards visualizations and metrics to convey data insights effectively.
- Collaborate with crossfunctional teams to identify and recommend process enhancements.
- Monitor data quality and resolve discrepancies as needed.
- Prepare actionable datadriven recommendations to inform business decisions.
- Proficiency in data visualization tools such as Tableau or Power BI.
- Strong analytical capabilities with experience in statistical software (e.g. Excel SQL Python R).
- Knowledge of data cleaning and transformation methods.
- Keen attention to detail and proficiency in handling large datasets.
- Excellent communication skills to present findings to stakeholders.
- Bachelor s degree in Statistics Mathematics Computer Science Economics or a related discipline.
- Prior experience in data analysis or a similar role.
- Familiarity with database management and query languages particularly SQL.
Data Scientist Job Description
- Create predictive models and machine learning algorithms to address complex business challenges.
- Analyze extensive datasets to uncover trends patterns and actionable insights.
- Apply statistical and data modeling techniques to identify business opportunities and risks.
- Design and execute experiments to validate model performance.
- Collaborate with data engineers analysts and business stakeholders to define data requirements.
- Present findings and insights through reports visualizations and presentations.
- Proficiency in programming languages such as Python R and SQL.
- Expertise in machine learning methods data mining and statistical modeling.
- Familiarity with data visualization tools (e.g. Matplotlib Seaborn Power BI).
- Strong problemsolving abilities and the capacity to translate business needs into datadriven solutions.
- Experience with big data technologies (e.g. Hadoop Spark) is a plus.
statistical software,machine learning,sql,data mining,big data technologies,data cleaning,data visualization,python,r,modeling
Employment Type
Full Time
