Data Analyst

This is a remote position.

Role & responsibilities:

• Analyze large, complex datasets to derive actionable business insights
  
• Work closely with stakeholders (Product, Marketing, Finance, Operations) to understand business requirements
  
• Design, build, and maintain dashboards and reports using BI tools (Power BI / Tableau / Looker)
  
• Write advanced SQL queries to extract, transform, and analyze data from multiple sources
  
• Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies
  
• Define, track, and monitor KPIs and performance metrics
  
• Support decision-making through data storytelling and clear presentations
  
• Conduct ad-hoc analyses and deep dives for leadership and business teams
  
• Ensure data accuracy, consistency, and quality across reports
  
• Automate recurring reports and analytical workflows using Python
  
• Collaborate with data engineers and tech teams to improve data pipelines
  
• Document methodologies, dashboards, and data definitions
  
• Mentor or guide junior analysts (where applicable)
  

Preferred candidate profile:

1. Experience

• 4 to 5 years of hands-on experience as a Data Analyst / Business Analyst / BI Analyst
  
• Experience working in remote or cross-functional teams preferred
  

2. Technical Skills

• Strong proficiency in SQL (advanced level)
  
• Working knowledge of Python for data analysis and automation
  
• Expertise in at least one BI / visualization tool (Power BI, Tableau, Looker)
  
• Strong command of Excel / Google Sheets
  
• Experience with relational databases and data warehouses
  

3. Analytical & Business Skills

• Excellent problem-solving and analytical thinking
  
• Ability to translate business problems into data-driven insights
  
• Strong understanding of KPIs, metrics, and business performance drivers
  
• Experience with statistical analysis and experimentation (A/B testing basics)
  

4. Communication & Soft Skills

• Strong verbal and written communication skills
  
• Ability to explain complex data insights to non-technical stakeholders
  

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• High ownership, accountability, and attention to detail
  
• Self-motivated and capable of working independently in a remote setup
  

5. Education

• Bachelors degree in Computer Science, Statistics, Mathematics, Economics, Engineering, or related field
  
• Masters degree or relevant analytics certifications preferred
  

6. Optional Add-Ons (for Premium Roles)

• Experience in product, SaaS, e-commerce, fintech, or consulting
  
• Exposure to cloud platforms (AWS / GCP / Azure)
  
• Familiarity with dbt, Airflow, or modern analytics stacks