Information Systems Associates (ISA) – Data Analytics Engineer I

Information Systems Associates (ISA) is looking for a talented and analytical Data Analytics Engineer I to join its Data, Innovation & AI team in Pune. This role offers an exciting opportunity for professionals who are passionate about transforming raw data into meaningful business insights. As organizations increasingly rely on data-driven decision-making, the need for skilled analytics professionals continues to grow. In this position, you will play a vital role in supporting the development, optimization, and maintenance of modern data infrastructure while helping stakeholders make informed strategic decisions through advanced analytics and reporting solutions. As a Data Analytics Engineer, you will work closely with data engineers, business analysts, data scientists, and business stakeholders to manage data workflows, perform exploratory analysis, and create impactful visualizations. The role involves handling large datasets from multiple sources, ensuring data quality, and developing automated reporting mechanisms that improve operational efficiency. You will leverage modern analytics technologies such as SQL, Python, R, Tableau, and Power BI to extract actionable insights and present them in a way that supports business growth and operational excellence. This position provides hands-on exposure to data integration, business intelligence, machine learning concepts, and enterprise analytics environments. The ideal candidate is someone who enjoys solving complex business problems using data and has a strong foundation in statistics, database management, and analytical thinking. ISA offers a collaborative environment where innovation, continuous learning, and professional development are highly encouraged. Employees gain exposure to modern data engineering practices, advanced analytics methodologies, and emerging technologies within the fields of artificial intelligence and business intelligence. By joining ISA, candidates can build a rewarding career in data analytics while contributing to strategic initiatives that drive measurable business outcomes.

Conduct exploratory data analysis on large and complex datasets to identify trends, patterns, anomalies, and business opportunities that support informed decision-making. Develop statistical models, analytical frameworks, and data-driven methodologies to extract meaningful insights from structured and unstructured data sources. Design and create interactive dashboards, visual reports, and business intelligence solutions using tools such as Tableau, Power BI, or similar platforms. Collaborate with data engineering teams to integrate, transform, and validate data from multiple systems while ensuring accuracy and reliability. Perform data profiling, cleansing, and quality assurance activities to maintain high-quality datasets for analytics and reporting purposes. Gather business requirements from stakeholders and translate complex business questions into actionable analytics tasks and measurable outcomes. Build and maintain automated reporting processes that streamline report generation, distribution, and monitoring across departments. Implement scheduling, alerting, and data delivery mechanisms to ensure timely availability of critical business information. Work closely with cross-functional teams including data scientists, engineers, and business analysts to support strategic projects and initiatives. Communicate analytical findings and recommendations effectively to both technical and non-technical stakeholders through presentations and reports. Assist in identifying opportunities for process improvements and contribute to the enhancement of analytics methodologies and best practices. Stay updated with industry trends, emerging technologies, and advancements in data analytics, artificial intelligence, and business intelligence.

Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, Information Technology, or a related quantitative discipline. Strong proficiency in SQL for querying, manipulating, and analyzing large datasets across various database environments. Hands-on experience with programming languages such as Python or R for data analysis, automation, and statistical modeling tasks. Familiarity with data visualization and business intelligence tools including Tableau, Power BI, or similar reporting platforms. Understanding of statistical analysis, predictive modeling, machine learning concepts, and data mining techniques. Strong knowledge of data structures, relational databases, data processing workflows, and data management best practices. Ability to work with structured and unstructured datasets while ensuring data quality, consistency, and integrity. Excellent analytical and critical-thinking skills with the ability to identify patterns and derive meaningful business insights. Strong problem-solving capabilities and the ability to translate business challenges into actionable analytical solutions. Effective verbal and written communication skills for presenting complex data findings to diverse audiences. Ability to collaborate within cross-functional teams and manage multiple priorities in a fast-paced business environment. Continuous learning mindset with enthusiasm for emerging technologies in analytics, artificial intelligence, machine learning, and data engineering.