Assistant Manager - Data Analytics

IndiGo

Gurgaon

On-site

INR 1,200,000 - 1,800,000

Full time

2 days ago
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Job summary

IndiGo is seeking a Data Analytics professional to drive data-driven decision making within a high-performing sales team. You will manage large datasets, apply SQL and BI tools, and translate insights into strategic actions.

The role emphasizes shaping analytics backlog, collaborating with stakeholders, and delivering self-service reporting while enabling data-backed decisions across the organization.

Qualifications

  • Master’s degree in computer science, data science, business analytics or similar analytical program.
  • 4–8 years of experience in analytics or BI roles, preferably in consulting/airlines/e-commerce.
  • Expertise with BI tools (PowerBI, Tableau) and data analysis techniques.
  • Strong communication, problem-solving, and ability to translate data into actionable insights.

Responsibilities

  • Handle large datasets using SQL and BI tools like PowerBI/Tableau.
  • Summarize data, analyze results, and present conclusions with recommended actions.
  • Shape and prioritize requirements backlog based on strategic initiatives.
  • Collaborate with multiple stakeholders to drive data-driven decisions.
  • Transition operational reporting into self-service analytics.

Skills

Analytics
Business communication
Problem-solving
Strategic thinking
People management

Education

Master’s degree in computer science / data science / business Analytics

Tools

PowerBI
Power Query
R/Python
Tableau
MS Office
MS PowerPoint

Job description

JD – Data Analytics

This role requires a strategic thinker with a strong understanding of data analytics, businessintelligence, and the ability to work in a high-performing sales team.

Key Responsibilities
  • Handle large datasets, using tools like SQL, PowerBI, Tableau
  • Summarize the data and analyze results - formulate, review, and present conclusions,recommended action plans:
  • Help shape and priorities the requirements backlog based on strategic initiatives.
  • Work collaboratively with multiple stakeholders
  • Help data backed decision
Desired Candidate Profile & Education Qualification
  • Master’s degree in computer science / data science / business Analytics / or other analytically focused programs
  • Industry Preference: Consulting / Airlines / E- Commerce
  • Years of Experience: 4-8 Years
  • Expert in Business Communication, Analytics, Problem-solving, Good Personnel management and strategic thinking.
  • Demonstrated experience working with PowerBI, Power Query, R/Python, Tableau, MS Office, MS PowerPoint
  • Proven ability to independently perform quantitative analysis & hypothesis testing. Experience working with Data Lake/Mart, Business Intelligence tools and CRM
  • Effective communication skills for conveying insights and recommendations to both technical and non-technical audiences.
  • Demonstrated track record of effectively managing high-visibility analytics projects.
  • Experience with predictive analytics, machine learning, or statistical modeling is a plus.
  • Transition regular and operational reporting into self-service solutions and promote the on-going usage.
  • Translate business issues in hypotheses, identify the most appropriate analysis techniques, setup experiments to test hypotheses empirically, and translate findings in actionable insights.
  • Use a range of mathematical concepts, statistical analysis, experience, and industry knowledge techniques to shape the analytics, recommending and delivering the best approach to solve the business problem.
  • Apply ‘storytelling’ techniques and approaches to tailor and communicate operational and strategic insights to stakeholders.
  • Simplify the message or narrative into easy to comprehend data views and commentary.
  • Define and deliver metrics, dashboards, and analytical models vital for tracking and managing

'At IndiGo we are committed to fostering an inclusive and equitable workplace. All employment decisions are made solelyon the basis of merit and qualifications, without regard to a candidate’s gender, race, color, religion, caste, creed,ethnicity, language, sexual orientation, marital status, maternity status, disability, or social and economic background’

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