Business Analyst

Carrerlift; Gurugram District; On-site; INR 600,000 - 1,200,000; Full time

Job summary

Carrerlift is seeking a data analytics professional to turn data into business insights. You will translate questions into analytical problems, write complex SQL on BigQuery or similar, and build AI-assisted workflows to speed up analysis.

You'll develop dashboards that stakeholders use independently, validate assumptions with Excel or Sheets, and present findings as business narratives. Experience with supply chain or quick-commerce data is a plus.

Qualifications

• Bachelor's degree in Engineering, Statistics, Economics, or similar quantitative field.
• 1–3 years of hands-on experience in business analytics or data analytics roles.
• Supply chain, e-commerce, or quick-commerce background preferred.
• Comfort writing advanced SQL queries, not just basic SELECT statements.
• Genuine curiosity and willingness to experiment with AI tools as part of how you work.
• Strong skills in Excel or Google Sheets for modeling and quick validation.
• Ability to communicate findings as a business story, not a technical data dump.
• Sharp communication skills that translate numbers into meaning for non-technical stakeholders.

Responsibilities

• Translate vague business questions into clearly structured analytical problems that you can solve with limited guidance.
• Write complex SQL queries — joins, window functions, large-scale operations on BigQuery or similar platforms — as a core part of your daily work.
• Experiment hands-on with AI tools to expand what analytics can do beyond standard reporting.
• Build models and validate assumptions quickly in Excel or Google Sheets.
• Present numerical findings as clear business narratives rather than raw data.
• Work with supply chain, e-commerce, or quick-commerce data where possible.

Skills

Advanced SQL

Excel/Sheets

Data storytelling

Curiosity & experimentation

Effective communication

Education

Bachelor's in Engineering

Bachelor's in Statistics

Bachelor's in Economics

Tools

BigQuery

Looker Studio

Metabase

Power BI

Job description

Batch: 2023/2024/2025/2026.

About the role:

• You will uncover insights from data that actually shape business decisions, moving beyond reports that sit unread.
• You will own the turnaround on ad-hoc analysis requests, building AI-assisted workflows that make you measurably faster over time.
• You will build dashboards that stakeholders use independently, without needing reminders.
• You will develop a reputation for finding the narrative hidden in data that others overlook.

What you'll work on:

• Translate vague business questions into clearly structured analytical problems that you can solve with limited guidance.
• Write complex SQL queries — joins, window functions, large-scale operations on BigQuery or similar platforms — as a core part of your daily work.
• Experiment hands‑on with AI tools to expand what analytics can do beyond standard reporting.
• Build models and validate assumptions quickly in Excel or Google Sheets.
• Present numerical findings as clear business narratives rather than raw data.
• Work with supply chain, e‑commerce, or quick‑commerce data where possible.

What we're looking for:

• A Bachelor's degree in Engineering, Statistics, Economics, or a similar quantitative discipline.
• 1–3 years of hands‑on experience in business analytics or data analytics roles.
• Supply chain, e‑commerce, or quick‑commerce background preferred.
• Comfort writing advanced SQL queries, not just basic SELECT statements.
• Genuine curiosity and a willingness to experiment with AI tools as part of how you work — this is a mindset requirement.
• Strong skills in Excel or Google Sheets for modeling and quick validation.
• Ability to communicate findings as a business story, not a technical data dump.
• Sharp communication skills that translate numbers into meaning for non‑technical stakeholders.

Good to have:

• Working experience with Python, particularly pandas, for analysis and automation.
• Familiarity with Looker Studio, Metabase, or Power BI.
• Prior work with supply chain or logistics datasets, including STO, IWT, inventory, CPT, or DPMO metrics.