Ab>initio, Big Data, Informatica, Tableau, Data Architect, Cognos, Microstrategy, Healther Business Analysts, Cloud etc.

Job Summary

The Data Analyst is required to Data capture, data cleaning, data preparation, data management and data analysis and interpretations required by the Business. Handle data factory with precision and confidentiality. The role is crucial for providing actionable insights to improve teaching quality, enhance student performance, optimize business operations, and drive growth.

Essential Job Responsibilities:

Academic Data Analysis

·       Analyze student performance data from internal assessments, mock tests, and board exams.

·       Identify trends in subject-wise performance, batch-wise progress, and dropout patterns.

·       Generate reports to assist academic heads in making data-driven interventions.

·       Predict outcomes of upcoming competitive exams (JEE/NEET) based on historical data.

Business & Marketing Intelligence

·       Monitor enrollment trends, inquiry-to-admission conversions, and campaign ROI.

·       Provide insights into market behavior, location-wise performance, and competitor benchmarking.

·       Analyze fee structures, discounts, and scholarship schemes for profitability and optimization.

Operational & Centre Efficiency

·       Evaluate the performance of branches/centres using KPIs like retention rate, attendance, student satisfaction, and staff productivity.

·       Support planning for new center openings with predictive enrollment data and location-based analytics.

Technology & Automation

·       Build and maintain dashboards using BI tools (Power BI, Tableau, Excel, Google Data Studio).

·       Work closely with IT or CRM teams to ensure data accuracy and integrity across systems.

·       Automate regular reporting processes to reduce manual workload.

Strategic Decision Support

·       Support senior management with forecasting models, statistical reports, and scenario simulations.

·       Present insights in the form of structured reports, visual dashboards, or presentations.

Supervisory Responsibilities

Number of subordinate supervisors reporting to this job

N/A

Total number of employees supervised; include those directly supervised and those supervised through subordinate supervisors

N/A

Job Qualifications: 

Education

·       Bachelor’s or Master’s degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or related field.

Experience

·       Must be a highly-skilled with 3+ years of experience.

·       Demonstrate ability to successfully process all work types

Knowledge / Skills

·       Analytical skills & Critical Thinking

·       Data Visualization

·       Microsoft Excel, VBA, R , Python, Tableau, Power BI

·       Efficient in AI powered Data analysis tools

Licenses / Certifications

·       Data Analytics desirable

Working Conditions:

Virtual environment, extended length of time in sitting position, medium stress environment

Physical Demands:

N/A

Senior Team Lead, Software Engineering (96386)

Role: Senior Team Lead

1. Java
2. Microservices
3. Hadoop
4. People Management Skills.

                   
Will be a plus if knowledge on -            

AWS

Location:    Bangalore India – North Gate.

• This job is on Contrecting role Max $70/hr 
   Java or Scala web developer with 8 to 12 years of experience and strong fundamentals/proficiency in core technologies used for web development - HTML, CSS, JavaScript, Spring and Hibernate (to include relational database experience). 

• Object oriented analysis and design patterns using Java/J2EE technologies, 

• Knowledge on Spring Framework, MVC architectures, ORM frameworks like Hibernate  

• Experience with Restful Web Services, data modeling  

• Strong experience in relational database design and development (preferably with Oracle) and understanding of NoSQL databases like HBase, Druid, Solr 

• Experience working with event/message-based communication platforms such as Kafka, ActiveMQ etc., 

• Experience working with Hadoop technologies and Spark framework  

• Working proficiency in build and development tools (Maven, Gradle, Jenkins) 

• Experience with test frameworks like JUnit, Mockito  

• Experience in front end development using modern JavaScript frameworks and charting frameworks

REQUIREMENT:

•  Previous experience of working in large scale data engineering
•  4+ years of experience working in data engineering and/or backend technologies with cloud experience (any) is mandatory.
•  Previous experience of architecting and designing backend for large scale data processing.
•  Familiarity and experience of working in different technologies related to data engineering – different database technologies, Hadoop, spark, storm, hive etc.
•  Hands-on and have the ability to contribute a key portion of data engineering backend.
•  Self-inspired and motivated to drive for exceptional results.
•  Familiarity and experience working with different stages of data engineering – data acquisition, data refining, large scale data processing, efficient data storage for business analysis.
•  Familiarity and experience working with different DB technologies and how to scale them.

RESPONSIBILITY:

•  End to end responsibility to come up with data engineering architecture, design, development and then implementation of it.
•  Build data engineering workflow for large scale data processing.
•  Discover opportunities in data acquisition.
•  Bring industry best practices for data engineering workflow.
•  Develop data set processes for data modelling, mining and production.
•  Take additional tech responsibilities for driving an initiative to completion
•  Recommend ways to improve data reliability, efficiency and quality
•  Goes out of their way to reduce complexity.
•  Humble and outgoing - engineering cheerleaders.