MarsDevs - Data Analyst - SQL/Python

Company Description

MarsDevs is a remote-first, offshore digital product development company known for its exceptional code quality, no-vendor-locking guarantee, and speed.

We specialize in building MVPs, Mobile and Web Applications, and SaaS Products for startups and SMBs.

Our services include UI/UX design, technical consulting, deployment, and maintenance.

Based in India, MarsDevs has delivered over 60 solutions in 10 countries across various industries in the last 4 years.

We scale our project teams through our partnership network to ensure the best technical fit for each You'll Do :

Youll lead analytical projects end-to-end, working across massive datasets to generate actionable insights.

Your work will directly impact both our internal platform and our business clients.

This is not a data engineering or reporting role it's for someone who thrives on solving ambiguous problems through deep analysis.

Problem Framing

• Turn vague or open-ended business issues into structured analytical questions.
• Identify patterns, opportunities, and risks in large-scale restaurant and delivery datasets.
• Bring clarity to chaos and ambiguity finding insights no one else Leadership :
• Own projects from scratch to final delivery.
• Lead small, focused teams when needed.
• Balance hands-on execution with strategic & Execution :
• Write complex SQL queries to explore millions of records.
• Use Python (pandas, numpy, etc.) for deeper data analysis and automation.
• Build dashboards and data stories using tools like Looker, Metabase, or Grafana.
• Conduct A/B testing, statistical modeling, and performance evaluation.
• Create repeatable analytical workflows for scaling & Communication :
• Translate insights into business actions for both internal and external stakeholders.
• Communicate clearly with engineers, analysts, product, and leadership.
• Promote data-driven decision-making across the Were Looking For - Must-Haves :
• 4+ years of data analytics experience in a commercial/B2B setting.
• Strong SQL skills and ability to handle complex queries.
• Proficient in Python for data analysis (especially pandas/numpy).
• Expertise in data visualization tools (Looker, Metabase, Grafana, etc.
• Hands-on experience in A/B testing and statistics.
• Experience working with large-scale datasets and optimizing queries.
• Attention to data quality, detail, and validation.
• Strong communication and stakeholder presentation (Bonus Points) :
• Experience with BigQuery, GCP, dbt, or data pipelines (Airflow, Bruin).
• Background in machine learning/deep learning.
• Familiarity with restaurant or delivery operations.
• Campaign performance analytics or digital marketing analytics exposure.
• Understanding of data warehouse design and dimensional This Role Is Not :
• This is not a dashboard-only or reporting-only position.
• You wont be asked to just maintain pipelines or run scheduled reports.
  
  

Instead, youll have the freedom (and challenge) to dig deep, ask smart questions, and uncover real insights.

(ref:hirist.tech)