Job Position: Sr. Data Analyst

Department: Information Technology (IT)

Location: HEAD OFFICE, MUMBAI

Description:

• Using automated tools to extract data from primary and secondary sources.
• Removing corrupted data and fixing coding errors and related problems.
• Developing and maintaining databases, data systems – reorganizing data in a readable format. 
• Performing analysis to assess quality and meaning of data.
• Filter Data by reviewing reports and performance indicators to identify and correct code problems.
• Using statistical tools to identify, analyse, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction.
• Assigning numerical value to essential business functions so that business performance can be assessed and compared over periods of time.
• Analysing local, national, and global trends that impact both the organization and the industry.
• Preparing reports for the management stating trends, patterns, and predictions using relevant data.
• Working with programmers, engineers, and management heads to identify process improvement opportunities, propose system modifications, and devise data governance strategies. 
• Preparing final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends. 
• Evaluating changes and updates to source production systems.
• Training end-users on new reports and dashboards.
• Providing technical expertise in data storage structures, data mining, and data cleansing.

Education:

Basic Requirement:

• Familiarity with database technologies and tools (Python, SQL, Tableau, PowerBI, BI, Dashboard etc.) is essential.
• Experience with data warehousing, transformation, and processing is a plus.
• Work experience with real data for customer insights, business, and market analysis will be advantageous.
• Ability to manage simultaneous tasks in a fast-paced, technology-oriented environment.
• Experience with text analytics, data mining and web analytics.

Qualification:

• Bachelors or Masters in a quantitative field (such as Engineering, Statistics, Maths, Economics, Sciences or Computer Science with Modeling/Data Science)

Experience:

·         4  to 7 Years