The primary purpose of this role is to interpret the data and turns into useful insights which can increase business operations efficiency, also to explore large data sets to find opportunities and search for hidden patterns. The ideal candidate must have strong experience using a variety of data mining/data analysis methods, data tools, building and implementing models. Preferred to have statistical background in creating predictive algorithms and running simulations. The candidate should have a proven ability to drive business driven data-based insights and must be comfortable working with a wide range of stakeholders and functional teams. The right candidate should have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
What technical skills, experience, and qualifications do you need?
Bachelor's or master's degree in computer science, Statistics, information systems, business or related field; or equivalent related experience.
Experience using statistical computer languages (R, Python, etc.) to manipulate data and draw insights from large data sets.
Experience working with data science tools such as Alteryx is preferred.
Experience working with data visualization tools like Power BI is highly preferred.
Experience using machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Experience in documentation of workflows, Release Management methods/process, Agile methodologies and change management processes.
Excellent written and verbal communication skills for coordinating across teams.
A drive to learn and master new technologies and techniques.
5-7 years of experience manipulating data sets and building statistical models, and is familiar with the following software/tools:
Knowledge and experience in statistical and data mining techniques.
Experience in writing complex SQL queries to perform data analysis.
Strong experience in various databases such as Oracle, MS SQL Server etc.
Strong exposure to ETL tools such as Informatica and other Integration services.
Strong proficiency in designing process workflows using Visio or similar toolset.
Experience in visualizing/presenting data for stakeholders using various visualization tools and techniques.
Experience/ Exposure to SAP Business Objects reporting suite is highly preferred.
Exposure to 3rd party data providers.
Some of the things you'll be doing:
Experience in leading and managing small teams and making sure to demonstrate leadership qualities as required.
Performing complete data lifecycle analysis, engage with business in requirements gathering, data preparation with validation and presentation techniques.
Work with various business units and respective stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
Ability to mine and analyze data from various data sources to drive optimization and improvement of product development, marketing techniques and business opportunities.
Identify and recommend new ways to streamline business processes.
Use statistical methods to depict trends, analyze data patterns in complex and large data sets to drive operational insights.
Preferred to use predictive modeling techniques to increase and optimize revenue generation, Customer behavior patterns and other business outcomes.
Develop processes and apply tools to monitor and analyze model performance and data accuracy.
Participate in Agile Scrum process to interact with the Business owners and discussing on the requirements, process enhancements, and status, roadblocks etc.
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