Education Data Analyst & Learning Systems Engineer (On-Site)

Role Summary (Read Carefully)

This is a technology and data-driven role inside an education innovation environment.

At Shreeji Education Zone (SEZ), we build and operate internal learning systems that track student progress, behavior patterns, academic performance, and operational efficiency — supported by dashboards, structured data, and AI-assisted tools.

We are hiring someone who is strong in data thinking, system discipline, and analytical observation — and who is comfortable being close to real users (students) to understand how systems perform in real life.

This is not a traditional teaching role.

Core Responsibilities (Tech & Data Focus)

Learning Data & Analytics Operations

• Maintain and monitor structured academic data such as:
• Attendance records
• Task completion status
• Test scores and error patterns
• Syllabus progress timelines
• Doubt frequency and resolution cycles
• Ensure accuracy, consistency, and completeness of data
• Identify trends, anomalies, and gaps in student performance data
• Support data-driven decision making for academic planning

System Usage & Process Discipline

• Operate SEZ’s internal dashboards and tracking systems daily
• Follow strict data logging and process standards
• Ensure system data reflects real-world activity correctly
• Maintain clean workflows (no manual chaos or untracked actions)

Observation → System Improvement Loop

This is a field + lab hybrid role:

• Observe how users (students) interact with learning workflows
• Identify:
• Manual processes that should be automated
• Friction points in tracking or execution
• Missing data signals
• Communicate insights clearly to the core system team
• Help validate improvements once systems are updated

Human Interaction (Context, Not Teaching)

• You will interact with students only to understand system behavior and learning patterns
• Your role is guidance and structure, not lecturing
• The system handles scale — you handle high-value observation and correction
• Expect responsibility for a small, fixed user group (approx. 8–10 students)

Required Profile (Very Important)

Must-Have

• Strong logical and analytical thinking
• Comfort with data, dashboards, and structured workflows
• High discipline in logging, tracking, and follow-through
• Ability to observe patterns and think in systems
• Ownership mindset — problems are solved, not passed on

Preferred (Not Mandatory)

• Background in:
• Data analysis
• Engineering / science
• Systems, operations, or analytics
• Comfort working with digital tools, dashboards, or internal software
• Interest in AI, automation, or applied analytics

Who Should NOT Apply

This role is not suitable if you are looking for:

• A pure teaching or lecturing job
• Casual tutoring work
• Minimal responsibility roles
• Jobs without structured systems or accountability

Growth Path

This role can evolve into:

• Senior Learning Systems Analyst
• Academic Operations Lead
• AI-Assisted Learning Architect
• Internal Product / Process Owner

Growth is based on system ownership, analytical clarity, and execution quality.

Why This Role Is Unique

• Real users + real data (not dummy datasets)
• Direct impact on how learning systems evolve
• Rare mix of data, human behavior, and system design
• Ground-level exposure + long-term tech growth

Shortlisted candidates will go through an in-person discussion and practical evaluation.

Job Type: Full-time

Pay: ₹10,820.55 - ₹42,317.33 per month

Benefits:

• Leave encashment
• Paid sick time
• Paid time off

Work Location: In person