[Remote] Data Analyst

Note: The job is a remote job and is open to candidates in USA. NationMind LLC is a technology consulting firm focused on software development and QA testing services. They are currently hiring a Data Analyst to join their growing team, where the main responsibilities include data analysis, business intelligence, and creating clear business narratives for leadership. The role requires strong skills in SQL and BI tools to analyze large datasets and define KPIs.

Responsibilities

• Strong experience in data analysis, business intelligence, dashboarding, and executive reporting
• Advanced SQL skills for querying, joining, validating, and analyzing large datasets
• Experience with BI tools such as Power BI, Tableau, Looker, ThoughtSpot, Superset, or similar platforms
• Strong ability to define and visualize KPIs, trends, cohorts, funnels, leaderboards, and drill-down views
• Experience analyzing user behavior, adoption, product usage, SaaS usage, or platform consumption data
• Ability to interpret data and create clear business narratives for leadership and operational teams
• Strong Excel or Google Sheets skills for ad hoc analysis, validation, and stakeholder reporting
• Comfortable working with data engineers to validate datasets, metric logic, and dashboard performance

Skills

• Strong experience in data analysis, business intelligence, dashboarding, and executive reporting
• Advanced SQL skills for querying, joining, validating, and analyzing large datasets
• Experience with BI tools such as Power BI, Tableau, Looker, ThoughtSpot, Superset, or similar platforms
• Strong ability to define and visualize KPIs, trends, cohorts, funnels, leaderboards, and drill-down views
• Experience analyzing user behavior, adoption, product usage, SaaS usage, or platform consumption data
• Ability to interpret data and create clear business narratives for leadership and operational teams
• Strong Excel or Google Sheets skills for ad hoc analysis, validation, and stakeholder reporting
• Comfortable working with data engineers to validate datasets, metric logic, and dashboard performance

Company Overview