Data Analyst (Fresher)

Carrerlift; Gurugram District; On-site; INR 600,000 - 900,000; Full time

Job summary

Carrerlift is seeking a data analytics professional to extract and validate datasets using SQL, and to build dashboards that present real-time KPIs. You will monitor operational metrics such as delivery speed and inventory turnover, and investigate patterns to uncover root causes.

The role involves communicating insights through reports and visualizations for leadership. You will leverage Excel/Google Sheets, Python or R for analytics, and BI platforms like Tableau, Looker, or Power BI to drive

Qualifications

• Strong Excel and Google Sheets skills for data manipulation and analysis.
• Quantitative mindset with emphasis on data quality assurance.
• Undergraduate degree in a quantitative field.
• Experience with Python or R for statistical analysis.
• Familiarity with BI platforms such as Tableau/Looker/Power BI.

Responsibilities

• Extract, consolidate, and verify transaction and operational datasets through SQL with emphasis on joins, window functions, and CTEs.
• Develop, oversee, and streamline automated dashboards showing KPIs in real time.
• Track and assess operational performance metrics like delivery speed, defect rate, and inventory turnover.
• Investigate unusual data patterns to uncover root causes.
• Evaluate outcomes of business trials and supply chain experiments.
• Translate analytical findings into business reports, visualizations, and executive presentations.

Skills

Detail-oriented

Pattern recognition

Communication to non-technical

Analytical thinking

Adaptability

Education

Undergraduate degree in Engineering, Mathematics, Statistics, Economics, Business Administration, or equivalent quantitative discipline

Tools

SQL

Python

R

Tableau

Looker

Power BI

Excel

Google Sheets

Job description

Batch: 2024/2025/2026.

About the role

• Extract, consolidate, and verify transaction and operational datasets through SQL query writing, with particular emphasis on joins, window functions, and Common Table Expressions
• Develop, oversee, and streamline automated dashboards that display Key Performance Indicators in real time
• Track and assess operational performance metrics including delivery speed, defect frequency, and inventory rotation rates
• Dig into unexpected patterns in the data to uncover underlying causes
• Evaluate the outcomes of business trials, campaign performance, and supply chain experiments
• Translate analytical findings into business-focused reports, visualisations, and executive presentations

What we're looking for

• Expertise in Excel and Google Sheets for data manipulation and analysis
• Demonstrated ability in quantitative thinking, data quality assurance, and logical problem decomposition
• Undergraduate qualification in Engineering, Mathematics, Statistics, Economics, Business Administration, or equivalent quantitative discipline
• Familiarity with quick-commerce, retail operations, or supply chain analytics would strengthen your candidacy
• Competence in Python or R for statistical analysis
• Experience with business intelligence platforms such as Tableau, Looker, or Power BI

About you

• You are detail-oriented and can spot patterns in complex datasets
• You communicate technical findings clearly to non-technical audiences
• You approach problems methodically and think critically about business metrics
• You are comfortable learning new tools and adapting to fast-moving environments