Data Analyst

Dew Software is currently in search of a highly motivated and competent Data Analyst to become a part of our team. Being one of the leading figures in the domain of Digital Transformation, Dew Software prides itself on its exceptional standards of quality and excellence. We are operational through 14 developmental centers spread over 9 countries, capitalizing on diverse skills and talents all around the world. Our enterprise is well-known for our rigorous procedures, stringent quality parameters and unwavering determination towards delivering exceptional outcomes. Working in sync with Fortune 500 companies, we assist them on their path of digital transformation by utilizing advanced technologies and innovative methods. Join our team to contribute to our noble mission of promoting digital innovation and transformation, thereby helping these prestigious organizations continue with their successful growth and development.

Responsibilities

• Analyze, interpret and draw insights from substantial data sets to influence business decisions and strategies.
• Team up with cross-functional groups, including business stakeholders, to establish data analysis goals and requirements.
• Create, develop and establish data models, algorithms and statistical methods to solve intricate business concerns.
• Develop and maintain data visualizations, dashboards and reports to effectively express the findings of the analysis to the stakeholders.
• Identify patterns, trends and anomalies in data to detect potential opportunities and risks.
• Carry out data quality checks and enforce measures to ensure data accuracy and integrity.
• Carry out exploratory data analysis to discover patterns and insights that can influence business decisions.

Requirements

• A Bachelor's degree in a quantitative discipline such as statistics, mathematics, computer science or a related field.
• A proven track record as a Data Analyst, working with extensive data sets and executing complex data analysis.
• Proficiency in SQL for data extraction and manipulation.
• Strong analytical skills with the ability to apply data analysis methods to solve complex problems.
• Experience with data visualization tools such as Tableau or PowerBI.
• Familiarity with statistical analysis tools like R or Python.
• Exceptional communication and presentation skills to effectively articulate analysis findings to non-technical stakeholders.