Data Analyst

Company DescriptionTestGrid.io is a leading provider of end-to-end automation cloud and on-premise testing solutions. With an emphasis on simplifying the testing process, TestGrid's innovative AI-powered technology allows organizations to achieve significant time and cost savings while accelerating their go-to-market strategies.

We are looking for a Data Analyst with experience in AI to join our team. The ideal candidate will leverage both traditional data analysis and modern AI techniques to drive insights and inform business decisions.

This role involves working with large datasets to uncover trends, predict outcomes, and optimize processes.

Key Responsibilities :

Collect, process, and clean data from various sources to prepare it for analysis.Utilize statistical methods and machine learning algorithms to analyze data and generate predictive models.

Work closely with business stakeholders to understand their questions and provide data-backed answers.Develop and maintain dashboards and reports to visualize data insights and trends.

Implement AI and machine learning tools to automate data analysis tasks where appropriate.Stay updated with the latest trends and technologies in data science and artificial intelligence.

Communicate findings and insights to both technical and non-technical team members to inform business strategies.Collaborate with IT and data engineering teams to improve data collection and analysis processes.

Qualifications :

Bachelor's degree in Data Science, Statistics, Computer Science, or a related field.2+ years of experience in data analysis, with a demonstrated interest or experience in AI and machine learning.

Proficiency in data analysis and visualization tools (e.g., SQL, Python, R, Tableau, Power BI).Experience with machine learning libraries (e.

g., scikit-learn, TensorFlow, PyTorch) is preferred.Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.

Excellent problem-solving skills and creativity in developing new analytical techniques.Ability to work effectively in a team and communicate complex ideas clearly.

A passion for continuous learning and professional development in the fields of data analysis and artificial intelligence.Desired Skills :

Experience with cloud computing services (AWS, Azure, Google Cloud) for data analysis.Familiarity with big data technologies (Hadoop, Spark) is a plus.

Knowledge of or experience with natural language processing (NLP) or computer vision.