Neeman's - Manager - Data Analyst

Role Overview:

- As a Data Analyst Manager, your primary responsibility is to collect, process, and analyze data to extract insights that inform decision-making and drive business strategies. You'll work closely with various stakeholders to understand their data needs, develop appropriate methodologies for data collection and analysis, and present findings in a clear and understandable manner. Your tasks may include cleaning and organizing data, performing statistical analysis, creating data visualizations, and generating reports.

- Additionally, you'll play a key role in identifying trends, patterns, and correlations within the data to help improve business processes, optimize performance, and achieve organizational goals. Strong analytical skills, proficiency in data manipulation tools and programming languages such as SQL, Python, or R, and the ability to communicate complex findings to non-technical audiences are essential for success in this role.

Responsibilities:

- In this role at Neeman's Pvt. Ltd., you will be a key player in leveraging data to derive insights and support strategic decision-making.

Your responsibilities include:

Data Analysis and Reporting:

- Perform exploratory data analysis to identify trends, patterns, and insights.

- Generate regular reports on key performance indicators (KPIs) and present findings to stakeholders.

Data Visualization:

- Create visually compelling dashboards and reports to effectively communicate data-driven insights.

- Collaborate with cross-functional teams to understand their data needs and provide tailored visualizations.

Data Quality Assurance:

- Ensure the accuracy and reliability of data by implementing and maintaining quality control processes.

- Identify and rectify data discrepancies, working closely with relevant teams.

Support Decision-Making:

- Assist in providing data-driven insights to support strategic and operational decision-making.

- Collaborate with business stakeholders to understand their analytical needs and deliver actionable insights.

Continuous Improvement:

- Contribute to the improvement of data analysis processes and methodologies.

- Stay updated on industry best practices and emerging trends in data analysis.

Cross Collaboration:

- Collaborate with cross-functional teams to understand their data needs and provide tailored visualizations.

Requirements:

- The person should have at least 5 years of relevant experience.

- The person must have ecommerce background.

- Understanding of data analysis principles and methodologies.

- Familiarity with data visualization tools and techniques.

- Knowledge of data quality assurance processes.

- Proficiency in data analysis tools such as Python, R, or SQL.

- Experience with data visualization tools like Tableau, Power BI, or similar.

- Strong analytical and problem-solving skills.

- Well versed with Excel

- Detail-oriented with a focus on data accuracy.

- Effective communication skills to convey complex data insights.

- Ability to collaborate with cross-functional teams.

- Curiosity and eagerness to explore and analyze data.

- High levels of accountability in maintaining data integrity.

- Adherence to ethical standards in handling sensitive data