Data Analyst Intern

As a Data Preparation Analyst, your role involves cleaning and organizing raw data, handling missing values, and removing duplicates to ensure accurate datasets. You will utilize your skills in Microsoft Excel and SQL to query, analyze, and extract meaningful business trends. Additionally, you will assist in building and maintaining Tableau or Power BI dashboards to monitor key performance indicators (KPIs). Key Responsibilities: - Clean and organize raw data - Handle missing values and remove duplicates - Query, analyze, and extract meaningful business trends using Microsoft Excel and SQL - Assist in building and maintaining Tableau or Power BI dashboards - Generate regular reports and summarize findings Qualifications Required: - Currently pursuing or recently graduated with a degree in Data Analytics, Statistics, Computer Science, Economics, or Mathematics - Foundational knowledge of relational databases, spreadsheet formulas (PivotTables), and basic coding languages like Python or R - Strong analytical reasoning, critical thinking, and communication skills The company offers a competitive salary ranging from 303,837.18 to 1,301,222.78 per year, along with benefits such as a flexible schedule and the option to work from home. The work location is in-person. As a Data Preparation Analyst, your role involves cleaning and organizing raw data, handling missing values, and removing duplicates to ensure accurate datasets. You will utilize your skills in Microsoft Excel and SQL to query, analyze, and extract meaningful business trends. Additionally, you will assist in building and maintaining Tableau or Power BI dashboards to monitor key performance indicators (KPIs). Key Responsibilities: - Clean and organize raw data - Handle missing values and remove duplicates - Query, analyze, and extract meaningful business trends using Microsoft Excel and SQL - Assist in building and maintaining Tableau or Power BI dashboards - Generate regular reports and summarize findings Qualifications Required: - Currently pursuing or recently graduated with a degree in Data Analytics, Statistics, Computer Science, Economics, or Mathematics - Foundational knowledge of relational databases, spreadsheet formulas (PivotTables), and basic coding languages like Python or R - Strong analytical reasoning, critical thinking, and communication skills The company offers a competitive salary ranging from 303,837.18 to 1,301,222.78 per year, along with benefits such as a flexible schedule and the option to work from home. The work location is in-person.