Data Analyst

Responsibilities The scope of this position extends to Targray applications and application infrastructure worldwide. The incumbent will be accountable for: 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, analyze, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction. Assigning numerical values to essential business functions so that business performance can be assessed and compared over periods of time. Working 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. The incumbent will work closely with other IS and Targray staff in problem resolution and will search for means to reduce common errors. Requirements University degree (B.Tech./MCA) in computer science or computer application. Minimum 4 years proven experience in business analytics and managing multiple Machine learning projects. Should be conversant with any industry standard ETL & reporting tool (Power BI preferable). Strong mathematical skills to help collect, measure, organize and analyse data. Knowledge of programming languages like SQL, MySQL, R, MATLAB, and Python. Technical proficiency regarding database design development, data models, techniques for data mining, and segmentation. Experience in handling reporting packages like Business Objects, programming (JavaScript, XML, or ETL frameworks), databases. Knowledge of how to create and apply the most accurate algorithms to datasets to find solutions. Statistical Knowledge in using Statistical platforms like SPSS, SAS and/or experience in using Statistical Packages such as scikit-learn, matplotlib, seaborn, pandas, NumPy for analyzing datasets in Python. Proficiency in Excel. Sound analytical and problem-solving skills.

• Verbal and Written communication skills. Proven working experience in data analysis.
• Adhere to timelines and quality of the assigned task. Ability to work under pressure on multiple assignments.
• Must have excellent English oral and written communications skills.
• Must have the ability and desire to thrive in a fast-paced, service-oriented environment.