Data Analytics Analyst I 4P/685

• Collect, clean, analyze, and interpret data from multiple sources.
• Use Python, R, SQL , and visualization tools to identify trends, patterns, and insights.
• Build reports, dashboards, charts, and visual presentations for business users.
• Support data extraction, transformation, and loading processes.
• Work with databases and structured datasets to prepare data for analysis.
• Perform statistical analysis and hypothesis testing to support business decisions.
• Assist with predictive modeling and basic machine learning techniques.
• Validate data accuracy and ensure reporting consistency.
• Collaborate with business, technical, and operational teams to understand data needs.
• Document data processes, reporting logic, and analysis results.

Do you have experience in SQL?, Do you have a Bachelor’s degree?, We are seeking a motivated Data Analytics Analyst I with 1-3 years of experience to support data analysis, reporting, data integration, and business intelligence initiatives.

The ideal candidate will have hands-on experience using tools such as Python, R, SQL, Tableau, Matplotlib, and Seaborn to analyze data, create visual reports, and deliver meaningful business insights. This role is well-suited for someone with strong analytical skills, attention to detail, and a desire to grow in data analytics, reporting, ETL, and predictive modeling., * 1-3 years of experience in data analytics, reporting, business intelligence, or a related role.

• Bachelor’s degree in Data Analytics, Computer Science, Information Systems, Statistics, Mathematics, Business Analytics, or a related field.
• Proficiency with SQL for querying and analyzing data.
• Experience with Python or R for data analysis.
• Familiarity with data visualization tools such as Tableau, Power BI, Matplotlib, or Seaborn .
• Basic understanding of ETL processes and database concepts.
• Strong analytical, problem-solving, and critical-thinking skills.
• Strong attention to detail and ability to work with large datasets.
• Good written and verbal communication skills., * Experience with machine learning or predictive analytics.
• Familiarity with statistical analysis and hypothesis testing.
• Experience working with multiple data sources and databases.
• Knowledge of data cleaning, data validation, and data quality practices.
• Exposure to business intelligence or dashboard development.

Key Skills

• Data analysis and reporting
• SQL querying
• Python or R
• Tableau / Power BI
• Matplotlib / Seaborn
• ETL and data integration
• Statistical analysis
• Predictive modeling
• Data visualization
• Data validation and documentation