JB001736 Full Stack Analyst Pan India · Hybrid

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

New Position - Full Stack Data Analytics & Insights

Pan India - Except - Hyderabad/Chennai - Preferably Gurugram

Sept Joiner

Role & Responsibilities Overview

• Work on end-to-end analytics assignments involving data extraction, manipulation, transformation, validation, reporting, insight generation, and business problem solving.
• Gather, understand, and translate business requirements into analytical approaches, reporting outputs, dashboards, and actionable recommendations.
• Manipulate and analyze structured and semi-structured data from multiple sources using SQL, Python, Redshift, Power BI, Excel, and similar tools to create analysis-ready datasets.
• Perform exploratory data analysis to identify patterns, trends, outliers, drivers, and business opportunities across functions such as operations, finance, claims, underwriting, customer, or portfolio performance.
• Build and maintain recurring reports, dashboards, KPI scorecards, and self-service reporting assets using Power BI.
• Develop clean, validated, and reusable reporting datasets by applying data joins, transformations, business rules, aggregations, reconciliation checks, and quality controls.
• Generate insights from data and convert analysis into clear business narratives, storyboards, presentations, and recommendations for client and internal stakeholders.
• Apply practical data science techniques, where relevant, such as segmentation, trend analysis, regression, classification, forecasting, anomaly detection, model monitoring, or driver analysis to solve business problems.
• Support development of automated reporting workflows, data pipelines, and analytical solutions to reduce manual effort and improve reporting accuracy and timeliness.
• Work independently on analytical problem statements, define the right analysis steps, validate assumptions, and proactively identify data quality or logic issues.
• Collaborate closely with client teams, EXL teams, data engineers, BI developers, and business stakeholders to ensure analytical outputs are accurate, relevant, and decision-ready.
• Facilitate client working sessions, present findings, support project status discussions, and help translate data outputs into business actions.
• Manage day-to-day delivery of assigned workstreams, monitor progress of deliverables, and ensure timely resolution of issues or blockers.
• Identify process inefficiencies, reporting gaps, automation opportunities, and areas where analytics or data science can improve business outcomes.
• Ensure industry best practices are followed across data preparation, reporting, documentation, quality checks, and analytical solution delivery.

Candidate Profile

• Bachelor’s/Master’s degree in Economics, Statistics, Mathematics, Computer Science, Engineering, Operations Research, Data Analytics, or a related quantitative field.
• 5–10 years of experience in data analytics, business intelligence, reporting, data manipulation, or applied analytics roles.
• Strong hands‑on experience in SQL, Python, Redshift, and Power BI for data extraction, manipulation, analysis, reporting, dashboarding, and validation.
• Experience working with Power BI to develop dashboards, KPI scorecards, management reports, and insight-driven visualizations.
• Ability to connect Power BI to different data sources, including Redshift, import and transform data, create data models, define measures, and build user-friendly business views.
• Proficiency in data preparation activities such as joins, aggregations, filtering, data cleansing, data profiling, reconciliation, exception analysis, and source-to-target validation.
• Strong analytical thinking with the ability to frame business problems, break them into analytical hypotheses, conduct exploratory analysis, and identify key drivers or root causes.
• Demonstrated ability to extract insights from data and convert analysis into structured storyboards, executive summaries, business recommendations, and stakeholder presentations.
• Working knowledge of data science concepts such as statistical analysis, regression, classification, clustering/segmentation, forecasting, anomaly detection, or model performance evaluation.
• Hands‑on exposure to Python libraries such as Pandas, NumPy, Scikit‑learn, Matplotlib/Seaborn, or similar is preferred for data manipulation, analysis, and basic modeling.
• Experience in automating recurring reports, improving reporting processes, or building reusable analytical datasets is preferred.
• Good understanding of data warehousing, Redshift-based data environments, data models, metric definitions, reporting layers, and business rules used in analytics and BI environments.
• Ability to perform root-cause analysis on data issues, reporting discrepancies, metric movements, and business performance changes.
• Strong attention to detail with ability to validate outputs, reconcile numbers, document assumptions, and ensure consistency across reports and dashboards.
• Strong written and verbal communication skills with the ability to explain analytical findings to both technical and business stakeholders.
• Self‑driven, proactive, and comfortable working in a fast‑paced, evolving environment with limited supervision.
• Ability to collaborate with cross‑functional and cross‑cultural teams across geographies.

What we offer

• EXL Analytics offers an exciting, fast paced and innovative environment, which brings together a group of sharp and entrepreneurial professionals who are eager to influence business decisions. From your very first day, you get an opportunity to work closely with highly experienced, world class analytics consultants.
• You can expect to learn many aspects of businesses that our clients engage in. You will also learn effective teamwork and time‑management skills - key aspects for personal and professional growth
• Analytics requires different skill sets at different levels within the organization. At EXL Analytics, we invest heavily in training you in all aspects of analytics as well as in leading analytical tools and techniques.
• We provide guidance/ coaching to every employee through our mentoring program wherein every junior level employee is assigned a senior level professional as advisors.
• Sky is the limit for our team members. The unique experiences gathered at EXL Analytics sets the stage for further growth and development in our company and beyond.