Senior Full-Stack Data Analytics & Insights Lead

Techilaservices; Hinoba-an; On-site; PHP 1,187,000 - 1,979,000; Full time

Benefits offered by this job

Mentoring program

Career growth opportunities

Job summary

EXL Analytics in India is seeking a seasoned Full Stack Data Analytics & Insights professional to drive end-to-end analytics projects. You will translate business requirements into analytical plans, build dashboards, and deliver actionable recommendations to client and internal stakeholders.

The role emphasizes strong SQL/Python data manipulation, Redshift, Power BI, and data storytelling, with opportunities for automation, data pipelines, and scalable reporting assets.

Qualifications

• Bachelor's/Master's degree in a quantitative field.
• 5–10 years of experience in data analytics or BI.
• Strong SQL and Python skills for data extraction and analysis.
• Experience building dashboards and KPI reports with Power BI.
• Ability to connect Power BI to multiple data sources and build data models.

Responsibilities

• Handle end-to-end analytics projects: data extraction, transformation, validation, and reporting.
• Translate business requirements into analytical approaches and dashboards.
• Create analysis-ready datasets and scalable reporting assets.
• Develop insights and present recommendations to stakeholders.
• Apply data science techniques where relevant to solve business problems.

Skills

SQL

Python

Power BI

Excel

Redshift

Data Analytics

Data Visualization

Education

Bachelor's/Master's in Economics, Statistics, Mathematics, Computer Science, Engineering

Tools

Power BI

Redshift

Excel

Pandas

Job description

EXL Analytics in India is seeking a seasoned Full Stack Data Analytics & Insights professional to drive end-to-end analytics projects. You will translate business requirements into analytical plans, build dashboards, and deliver actionable recommendations to client and internal stakeholders.

The role emphasizes strong SQL/Python data manipulation, Redshift, Power BI, and data storytelling, with opportunities for automation, data pipelines, and scalable reporting assets.