ROLE OVERVIEW The Data Analytics Manager is responsible for implementing robust data analytics, visualisation, and MIS systems for the institute. S/he plans, manages, and strengthens the institute's technology-enabled capabilities to collect and collate data, ensure data integrity and reliability, and publish user-friendly reports aligned with academic and operational goals. The role plans for scalability, efficiency, user self-adoption, and improved data-based decisionmaking.

PRIMARY OBJECTIVE To implement reliable data sources. To develop creative, user-friendly reports and analytics that provide decision support and action planning. To identify and implement effective, secure, and user-centric technology solutions to achieve effective data analytics.

KEY RESPONSIBILITIES & DELIVERABLES

Responsibility Area Deliverables

Data Strategy • Define data strategy aligned to institutional goals.

- Work with various Heads and teams to identify analytics requirements.
- Create an annual data roadmap and identify KPIs for academics, operations,

admissions, and finance. MIS Reports & Analytics • Partner with teams to understand data granularity, lead indicators, and causation.
- Design reports for teams to enhance decision support student performance,

enrolment, maintenance, revenues and costs, people metrics.
- Develop and manage dashboards and MIS reporting; ensure periodic MIS

circulation. Data Integrity & Compliance • Ensure data accuracy, governance, and standardisation.
- Establish data-validation protocols; maintain data dictionary and ownership

matrix.




- Ensure compliance with data-privacy and security norms; implement access

controls and audit trails.

Data Analytics Automation

& Decision Support
- Identify and implement tools (Python, R, etc.) for data science, collection,

repository, and collation from diverse sources.
- Implement visualisation tools (Tableau, Power BI, Python) for user-friendly

interactive charts and dashboards.
- Translate data into insights for decision-making.
- Provide trend analysis, predictive insights, and performance reports.

Training & Upskilling • Build data literacy across teams. GM 2.0 | Roles & Responsibilities

Consolidated Roles & Responsibilities Page 97 of 108

Responsibility Area Deliverables

- Conduct training and workshops on interpreting dashboards and using data

responsibly.
- Ensure thorough understanding and adoption of data-analytics tools and

reports. KEY RESULT AREAS (KRAs) & COMPETENCIES

Performance Metrics (KRAs) Competencies

- Data quality and reliability (validation pass rate, datadictionary coverage)
- Adoption of dashboards and MIS by leadership and

functions
- Quality and timeliness of MIS / analytics outputs
- Predictive / prescriptive analytics models delivered
- Data-privacy and security compliance
- Data analytics, BI, and visualisation expertise (Power

BI / Tableau / Python)
- SQL, data modelling, and ETL knowledge
- Statistical and predictive analytics
- Stakeholder management with non-technical users
- Data governance and privacy awareness
- Storytelling with data

📌 Data Analyst (Bhavnagar)
🏢 SUMS CorpSolutions
📍 Bhavnagar