Data Analyst

Job Title: Senior Data Analyst

Department: Data Analytics

Location: Skyla Corporate Office, Hyderabad

Role Summary

The Senior Data Analyst will lead Skyla’s data ecosystem—owning data collection structures, dashboard development, automations, and analytics workflows across departments. This role ensures that the right data is captured, transformed, and delivered to decision-makers with clarity, accuracy, and speed. The analyst will work closely with Sales, Front Office, Finance, Procurement, Marketing, and Operations teams to build scalable reporting systems and continuously improve Skyla’s data-driven culture.

Key Responsibilities

1. Data Infrastructure & System Ownership

• Own and manage all central data sheets (Sales, Front Office, F&B, Procurement, HR, Google Reviews, etc.).
• Design structured datasets and master tables for reliable reporting**.**
• Implement data governance principles – accuracy checks, validation rules, and controlled access.
• Maintain and update KPI tracking frameworks, data point mappings, and automation scoring sheets.

2. Dashboard Development & Reporting

Build, enhance, and maintain Looker Studio dashboards for:

• Sales Performance
• F&B Revenue & Menu Analytics
• Front Office Metrics
• Procurement Metrics
• Google Reviews & CX Analytics
• Operational KPIs
• Create user-friendly dashboards with filters, drill downs, and automated refresh cycles.
• Standardise report formats and build reusable templates for all teams.

3. Automation & Process Improvement

• Develop and maintain automations (Google Apps Script, formulas, workflow logic). Automate recurring reports such as:
• Consolidated Guest List (PMS)
• Detailed Revenue Report (DRR)
• Cross-department data pulls
• Identify manual processes in any department and convert them into semi/fully automated solutions.
• Build alert systems, cleanup scripts, timestamp automations, and reconciliation tools.

4. Cross-Department Collaboration

• Work directly with Sales, FO, Engineering, Branding, Finance, Procurement, HR & Operations teams to understand data needs.
• Guide teams on how to submit correct data, maintain hygiene, and use standardised formats.
• Translate business questions into analytical solutions.
• Support leadership in performance tracking, forecasting, and strategy execution.

5. Insight Generation & Decision Support

• Conduct trend analysis, variance analysis, and performance deep dives.
• Build storytelling presentations for leadership reviews.
• Identify opportunities for process optimisation, revenue growth, and efficiency improvement using data.
• Provide ad-hoc analytical support for pilots, experiments, and new initiatives.

6. Quality Control & Data Hygiene

• Regularly audit data for gaps, duplication, or inconsistencies.
• Implement validation logic across sheets to prevent data entry errors.
• Ensure all dashboards reflect real-time, accurate data.

Skills & Competencies Required

Technical Skills

• Advanced Google Sheets (ARRAY FORMULA, QUERY, INDEX-MATCH, REGEX, IMPORTRANGE, pivot tables).
• Google Looker Studio dashboard building.
• Google Apps Script for automations.
• Strong understanding of structured data models.
• Basic SQL (preferred, but not mandatory).
• Knowledge of data visualisation principles.

Analytical Skills

• Ability to interpret data, identify patterns, and generate actionable insights.
• Strong numerical and problem-solving abilities.
• Experience working with multiple data sources and merging them into unified datasets.

Soft Skills

• Excellent communication and stakeholder management.
• Ability to work independently with minimal supervision.
• High attention to detail and strong documentation discipline.
• Process-driven, organised, and proactive in identifying improvements.

What This Role Offers

• Opportunity to own Skyla’s entire data ecosystem.
• Exposure to cross-functional operations across 7+ properties.
• Hands-on experience with building end-to-end dashboards from scratch.
• Ability to implement automations that directly impact efficiency and leadership decisionmaking.
• Fast learning environment with significant autonomy.

Ideal Candidate Profile

• 2–5 years experience in analytics, reporting, or business intelligence.
• Hands-on experience with Google Sheets, Looker Studio, and data automation.
• Comfortable working with large datasets and building dashboards for senior management.
• A strong sense of ownership and willingness to experiment, learn, and innovate.

Pay: ₹25,000.00 - ₹35,000.00 per month

Benefits:

• Health insurance
• Paid sick time
• Paid time off
• Provident Fund

Work Location: In person