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Title
Text copied to clipboard!General Data Analytics Specialist
Description
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We are looking for a General Data Analytics Specialist. This position involves managing the processes of collecting, analyzing, and interpreting data across the organization to support strategic decision-making in various business units. The ideal candidate should be capable of working with large datasets, performing statistical analyses, and presenting results in clear and actionable reports.
Responsibilities include collecting, cleaning, and analyzing data from various sources, visualizing insights using business intelligence tools, and presenting findings to management. The role also involves proposing process improvements to enhance data quality and ensuring compliance with data security standards.
The General Data Analytics Specialist will collaborate closely with departments such as marketing, finance, operations, and human resources to foster a data-driven decision-making culture. This position is ideal for individuals with strong technical and communication skills and a high level of analytical thinking.
Candidates are expected to be proficient in programming languages such as Python, R, and SQL, and to use tools like Excel, Tableau, and Power BI effectively. Knowledge of statistical modeling, machine learning, and data mining is a strong advantage.
This role plays a key part in developing and implementing data-driven strategies. Generating insights that contribute to the company’s competitive advantage is one of the core objectives of this position.
Responsibilities
Text copied to clipboard!- Conduct data collection, cleaning, and analysis processes
- Create data visualizations using business intelligence tools
- Provide data-driven decision support to departments
- Propose process improvements to enhance data quality
- Ensure compliance with data security and privacy standards
- Perform statistical analyses and modeling
- Apply machine learning algorithms
- Prepare reports and presentations for management
- Work with databases and data warehouses
- Integrate and analyze new data sources
Requirements
Text copied to clipboard!- Bachelor’s degree in Statistics, Mathematics, Computer Science, or related fields
- Experience with Python, R, and SQL
- Proficiency in Excel, Tableau, or Power BI
- Knowledge of statistical analysis and modeling
- Familiarity with data mining and machine learning
- Strong analytical and problem-solving skills
- Excellent verbal and written communication skills
- Team-oriented mindset
- Awareness of data security and privacy issues
- Preferably knowledge of big data technologies (e.g., Hadoop, Spark)
Potential interview questions
Text copied to clipboard!- Can you describe a data analysis project you completed using Python or R?
- Do you have experience writing complex SQL queries?
- Which business intelligence tools have you used and what types of reports have you created?
- How have you handled data quality issues?
- In which projects have you applied machine learning algorithms?
- What measures do you take to ensure data security?
- How do you collaborate with other departments?
- Do you have experience working with big data technologies?
- What statistical modeling techniques do you prefer?
- How do you manage your time and prioritize tasks?
