Work-Force
As a Data Analyst, you will be responsible for cleaning and gathering data, conducting statistical analysis, and managing databases to support data-driven decision-making and operational excellence. You will utilize various tools and programming languages to transform data into actionable insights.
Key Responsibilities:
- Data Cleaning and Gathering:
- Clean, preprocess, and gather data from various sources to ensure accuracy and completeness.
- Maintain data quality and integrity throughout the analysis process.
- Statistical Analysis:
- Conduct statistical analyses to identify trends, patterns, and correlations in data.
- Apply statistical methods to interpret data and generate meaningful insights.
- Database Management:
- Manage and maintain databases to ensure efficient data storage and retrieval.
- Develop and optimize SQL queries for data extraction and manipulation.
- Data Visualization:
- Create visualizations and dashboards using tools like Power BI or Tableau to effectively communicate data findings.
- Present complex data insights in a clear and understandable manner to stakeholders.
- Automation and AI:
- Utilize automation tools like Fabric and Power Automate to streamline data processing and reporting tasks.
- Leverage AI tools such as Co-Pilot and ChatGPT to enhance data analysis and insights.
Requirements:
- Education:
- Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or related fields.
- Technical Skills:
- SQL: Proficient in writing complex SQL queries for data extraction and analysis.
- Programming Languages: Comfortable with Python or R for data analysis and manipulation.
- Excel: Strong data manipulation skills using Excel, including advanced functions and formulas.
- Data Visualization Tools: Familiarity with tools such as Power BI or Tableau for creating reports and dashboards.
- Automation: Knowledge of tools like Fabric and Power Automate for automating data workflows.
- AI Tools: Familiarity with AI tools like Co-Pilot and ChatGPT for enhancing data analysis and generating insights.
Additional Skills:
- Excellent problem-solving and analytical skills.
- Strong attention to detail and accuracy.
- Effective communication skills to present data findings to non-technical stakeholders.
- Ability to work collaboratively in a team environment.