Data Analyst

Why We're Hiring a Data Analyst

own the data function

Product and Operational Analytics

data muscle

What You’ll Do

• Be the single source of truth for all business, marketing, and financial analytics
• Own and optimize marketing analytics — attribution models, ad performance, campaign tracking
• Build and manage MIS dashboards that support the Finance team with reliable, accurate reporting
• Support cross-functional teams with self-serve dashboards, data queries, and insights
• Communicate data stories clearly to both technical and non-technical stakeholders
  

Experience Required

• 2–3 years in a Business Analyst, Data Analyst, or Product Analyst role
• Prior experience working closely with marketing or finance data is a plus
  

Technical Skills

• SQL mastery — you should be able to slice, dice, and extract insights from any structured dataset
• Experience with data visualization tools like Metabase, Power BI, Tableau, or similar
• Strong eye for design and clarity in dashboards — you should know what makes a good dashboard vs. a noisy one
  

Other Skills That Matter

• A sharp business and money mindset — you've worked on pricing, monetization, or performance-based decision-making
• Understanding of marketing mechanics — why users convert, how ads perform, and how attribution works
• Great communication and prioritization — you're able to convert business questions into data problems
  

Bonus Points

• Experience with Python
• Understanding of how a tech system works end-to-end (APIs, data flow, infra, etc.)
  

Why Join Atlys

• Competitive Salary
• Relocation Expenses Covered
• Immense growth opportunity in a fast-scaling company
• Work with a high-performing, ambitious, and collaborative team
• Full list of perks: Perks @Atlys
  

Important Notes

• This is a full-time, in-office role based in Delhi
• Ideal joining timeline is before July 1, 2025
  

Hiring Process

• Resume Shortlist
• Take-Home Task (72-hour deadline)
• Analytical Interview with Senior Data Analyst
• Behavioral Interview with Internal Stakeholder
• Technical Interview with Head of Data