Data Analyst

About the job

UPES School of Computer Science aims to be a data-centric institution where decisions are guided by measurable signals, not intuition alone. In this role, analytics becomes a strategic asset, helping the School: • Anticipate student needs and improve success outcomes • Understand employer trends and strengthen placement effectiveness • Monitor and elevate faculty research performance • Make real-time strategic decisions with confidence. Education • Bachelor’s degree in data science, Statistics, Computer Science, Analytics, Economics, or related field • Master’s degree preferred (Data Science, Business Analytics, Information Systems, Applied Statistics) Experience • 5–8+ years of experience in data analytics, business intelligence, or strategic insights roles • Proven track record of delivering analytics solutions that influenced leadership decisions. Key Responsibility: Dashboard & Reporting Architecture • Design, develop, and maintain dynamic dashboards using tools such as Power BI, Tableau, Google Data Studio, and automation solutions • Provide a daily executive dashboard for the Dean with key indicators such as KPIs, trends, alerts, and predictive signals. • Promote self-service analytics frameworks that empower stakeholders to explore data independently. • Ensure data accuracy, governance, version control, and performance tuning of all reporting systems. Predictive Analytics & Student Success Modelling • Build predictive models to identify at-risk students, forecast attrition likelihood, and recommend intervention strategies. • Collaborate with academic and student success teams to operationalize models into advising workflows and success interventions. • Analyze correlations between academic metrics, student engagement, and success outcomes. Tracking Placement Quality & Employer Trends • Monitor placement metrics: offer acceptance, industry spread, salary distribution, role types, conversion ratios, and time-to-hire trends. • Provide insights on alumni career trajectories, emerging job roles, and demand signals via labour market APIs and talent analytics platforms. • Segment placement data by program, specialization, and demographic factors to identify strengths and opportunities. Research Impact Auditing & Faculty Analytics • Track and analyze faculty research impact metrics such as citations, h-index, publication growth, co-authorship networks, funding alignment, and global ranking signals. • Develop faculty research dashboards and contribute to evidence for research portfolios, performance reviews, and strategic partnerships. • Integrate bibliometric datasets (Scopus, Web of Science, Google Scholar) into automated reporting pipelines. Insights for Strategic Decision-Making • Translate complex datasets into executive-ready insights with actionable narrative interpretations. • Identify patterns, anomalies, and strategic opportunities — and communicate them clearly to the Dean, Associate Deans, and leadership committees. • Support business cases for new initiatives (labs, industry programs, accreditation responses, strategic investments) with quantitative justification. Data Governance & Quality Assurance • Define and enforce data quality standards, naming conventions, and lineage tracking. • Build metadata catalogs, master data definitions, and documentation to support analytics consistency. • Ensure compliance with data privacy policies and ethical use of information.

Requirements

• Data Analytics
• Power BI
• Tableau
• Google Data Studio
• Predictive Modeling
• Data Governance

Qualifications

• Bachelor’s degree in data science
• Master’s degree preferred in related fields

Preferred Technologies

• Data Analytics
• Power BI
• Tableau
• Google Data Studio
• Predictive Modeling
• Data Governance

About the company

UPES School of Computer Science aims to be a data-centric institution where decisions are guided by measurable signals, not intuition alone.