Data Analyst

Slikk

Bengaluru

Hybrid

INR 500,000 - 800,000

Full time

14 days+
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Job summary

An innovative quick-commerce platform in Bengaluru is seeking a Data Analyst to extract and analyze data, supporting marketing and operations teams. The role requires 1–2 years of experience, strong SQL and Excel skills, and the ability to turn complex data into actionable insights. Ideal candidates will have a problem-solving mindset and a keen attention to detail. Working closely with teams, you'll help drive data-informed decisions in a fast-paced environment.

Qualifications

  • 1–2 years of experience in a data analyst or business analyst role.
  • Strong hands-on experience with SQL (joins, subqueries, aggregations).
  • Advanced proficiency in Excel/Google Sheets (pivot tables, lookups, formulas).
  • Ability to work with large, messy datasets and structure them for analysis.

Responsibilities

  • Write and optimize SQL queries to extract data from multiple sources.
  • Build and maintain Excel-based dashboards and trackers for reporting.
  • Analyze large datasets to identify trends in sales and user behavior.
  • Work closely with category, marketing, and ops teams to answer business questions.

Skills

SQL
Excel
Data analysis
Business insights
Attention to detail
Problem-solving

Job description

Slikk is a quick-commerce platform for fashion, beauty, home, and lifestyle, delivering curated drops in under 60 minutes. We operate at high velocity, which means decisions need to be data-backed, fast, and actionable.

We’re looking for a Data Analyst who is strong with SQL and Excel, comfortable working with large datasets, and able to translate numbers into clear business insights for category, marketing, and operations teams.

What You’ll Do
  • Write and optimize SQL queries to extract data from multiple sources
  • Build and maintain Excel-based dashboards and trackers for daily, weekly, and monthly reporting
  • Analyze large datasets to identify trends in sales, user behavior, supply efficiency, and marketing performance
  • Work closely with category, marketing, and ops teams to answer business questions with data
  • Perform ad‑hoc analysis to support experiments, launches, and operational decisions
  • Ensure data accuracy, consistency, and documentation across reports
What We’re Looking For
  • 1–2 years of experience in a data analyst or business analyst role
  • Strong hands‑on experience with SQL (joins, subqueries, aggregations)
  • Advanced proficiency in Excel / Google Sheets (pivot tables, lookups, formulas)
  • Ability to work with large, messy datasets and structure them for analysis
  • Strong business thinking — able to explain insights to non‑technical teams
  • High attention to detail and a problem‑solving mindset
Seniority level
  • Entry level
Employment type
  • Full‑time
Job function
  • Information Technology
Industries
  • Technology, Information and Internet

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