Data Analytics Associate - Fresher (WFH)

About the job:As a Data Analytics Associate, you will have the opportunity to utilize your expertise in Python, Power BI, SQL, Data Analytics, MS-Excel, Data Science, Tableau, Data Cleaning, Data Analysis, Data Engineering, Data Interpretation, Data Manipulation, and Data Preparation. Your role will be crucial in driving data-driven decisions and enhancing business performance.

1. Utilize Python, SQL, and other data analysis tools to clean, manipulate, and interpret data.

2. Develop and maintain data visualization dashboards using Power BI and Tableau.

3. Conduct thorough data analysis to identify trends, patterns, and insights.

4. Collaborate with cross-functional teams to understand data requirements and provide actionable recommendations.

5. Implement data engineering techniques to optimize data storage and processing.

6. Prepare and present reports on key findings and recommendations to senior management.

7. Stay updated on industry trends and best practices in data analytics to continually improve processes and strategies.Who can apply:Only those candidates can apply who:Salary:₹ 5,50,000 - 6,50,000 /yearExperience:No experience requiredDeadline:[hidden]:59:59Other perks:5 days a weekSkills required:Python, SQL, Data Analytics, MS-Excel, Data Science, Data Interpretation, Power BI, Tableau, Data Analysis, Data Preparation, Data Cleaning, Data Manipulation and Data EngineeringAbout Company:We help individuals get their first job & internships with our curated programs. We are an ed-tech company with a mission to help freshers get their dream job and make them job ready.

Responsibilities

As a Data Analytics Associate, you will have the opportunity to utilize your expertise in Python, Power BI, SQL, Data Analytics, MS-Excel, Data Science, Tableau, Data Cleaning, Data Analysis, Data Engineering, Data Interpretation, Data Manipulation, and Data Preparation. Your role will be crucial in driving data-driven decisions and enhancing business performance.

1. Utilize Python, SQL, and other data analysis tools to clean, manipulate, and interpret data.

2. Develop and maintain data visualization dashboards using Power BI and Tableau.

3. Conduct thorough data analysis to identify trends, patterns, and insights.

4. Collaborate with cross-functional teams to understand data requirements and provide actionable recommendations.

5. Implement data engineering techniques to optimize data storage and processing.

6. Prepare and present reports on key findings and recommendations to senior management.

7. Stay updated on industry trends and best practices in data analytics to continually improve processes and strategies.