Description:
Data analyst is responsible for organizing data related to contact segments, market research, logistics, linguistics, or other behaviours. They utilize technical expertise to ensure data is accurate and high-quality. Data is then analysed, designed, and presented in a way that assists individuals, businesses, and organizations, to make better decisions.
RESPONSIBILITIES
- Use statistical tools to identify, analyse, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction.
- Analyses local, national, and global trends and forecasts impact both the organization and the industry.
- Prepares final analysis reports for the stakeholders to understand the data-analysis steps, enables them to take important decisions based on various facts and trends.
- Analyses past operations' results and performing variance analyses.
- Researching market trends, analysing data from competitors, and analysing the business's operations, expenditures, and customer retention to identify patterns of potential issues or improvements.
- Uses data analysis and interpretations to guide the decision-making of the business.
- Uses operations data to develop pricing models and identify areas for improvement.
- Uses statistical, economic, and data modelling techniques and tools.
- Organizes and analysing data, creating charts and graphs, and presenting your findings to the leadership team.
- Provides recommendations to improve future business operations.
- Organizes and stores data for future research projects.
- Testing processes, policies, and protocols for efficiency and improvements.
- Takes Health, Safety & Environment (HSE) lead in ensuring “safe systems of work” and “safe conditions” are in place within area of responsibility.
- Performs other similar or related duties as required or assigned by management.
QUALIFICATIONS & EXPERIENCE
Educational Requirements / Qualifications:
- Bachelor's degree in any related field.
Experience:
- 5+ years of experience in Data analysis.
Skills and Competencies:
- Analysing, visualizing and exploring data, historical view and visual view.
- Expertise in statistics.
- Reports and dashboards.
- Solution-oriented.
- Knowledge of programming languages SQL, MATLAB, Python.
- Knowledge of data visualisation software such as Power BI and Tableau.
- Problem-solving skills.
- Accuracy and attention to detail.
- Adept at queries, writing reports, and making presentations.
- Team-working skills.
- Verbal and Written communication skills.
- Proven working experience in data analysis.
- Ability for critical thinking.
- Creativity.
- Systematic and logical approach to problem-solving.