Data Analyst with SQL- 100% Remote

2 - 3 years

0 Lacs

Posted:5 days ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Data Analyst

Experience : 5 - 8yrs

Budget - 20L to 22L

Immediate joiners only 

Hybrid /Remote Position

Skills required are

  • Strong proficiency in Amazon QuickSight (Preferred)— ability to design, optimize, and manage dashboards independently.
  • Strong expertise in SQL — including writing complex queries, optimizing query performance, and understanding relational data structures.
  • Solid experience (2-3 years) in data analysis, specifically product analytics, user behavior analysis, and business performance tracking.
  • Ability to work independently with clients, gather minimal inputs, understand business needs, and proactively recommend analytics dashboards and reporting structures.
  • Strong analytical thinking to translate business questions into measurable metrics and impactful dashboards.
  • Ability to communicate insights clearly to both technical and non-technical stakeholders. 
  • Understanding of nonprofit Monitoring & Evaluation (M&E) metrics or a strong willingness to learn and integrate them into product analytics.

Preferred Skills

  • Familiarity with additional data visualization tools (Tableau, Power BI, Google Data Studio).
  • Knowledge of Python/R, Google Sheets, or Excel for data processing and automation. 
  • Experience with mobile analytics tools (Firebase, Mixpanel, Amplitude). Experience with A/B testing, segmentation, cohort analysis.
  • Understanding of UX/UI principles as they relate to data storytelling.
  • Previous experience in the nonprofit sector (social impact, health, education).

Note : Focus area

  • Strong knowledge of SQL and data modeling is mandatory. 
  • Experience with Amazon QuickSight is preferred or however, the candidate should be strong in either Power BI or Tableau. 
  • The role involves client handling, close collaboration with stakeholders, proactively defining KPIs, designing meaningful dashboards, and driving data-driven decision-making.

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