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.

Data Analysis, Analysis Skills, Data Analysis, Business Intelligence, Analysis Skills, Tableau, Database Extract Transform and Load (ETL), Detail Oriented, Predictive Modeling, Python Programming/Scripting Language, 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