Data Analyst

Open 30d

Role Overview

We are looking for a detail-oriented Data Analyst who can transform raw data into meaningful insights that drive business decisions. The role requires strong hands-on expertise in Google Sheets, SQL, and Tableau, along with the ability to communicate data-backed stories clearly to stakeholders.


Key Responsibilities

  • Collect, clean, and analyze large datasets from multiple sources

  • Build and maintain dashboards and reports using Tableau for business tracking and performance analysis

  • Write and optimize SQL queries to extract, manipulate, and validate data

  • Use Google Sheets for data analysis, automation, reporting, and ad-hoc insights

  • Identify trends, patterns, and anomalies to support strategic decision-making

  • Work closely with cross-functional teams (Sales, Marketing, Operations, Finance) to understand data needs

  • Ensure data accuracy, consistency, and integrity across reports

  • Translate complex data findings into clear, actionable insights for non-technical stakeholders


Required Skills & Qualifications

  • Strong working knowledge of Google Sheets (formulas, pivots, data validation, automation)

  • Proficiency in SQL (joins, subqueries, aggregations, performance optimization)

  • Hands-on experience with Tableau (dashboards, calculated fields, filters, visual storytelling)

  • Strong analytical and problem-solving skills

  • Ability to work with large datasets and maintain high attention to detail

  • Good communication skills with the ability to explain insights clearly


Preferred Qualifications

  • Bachelor’s degree in Data Analytics, Statistics, Mathematics, Computer Science, or a related field

  • Experience working with business stakeholders and leadership teams

  • Exposure to data-driven decision-making environments

  • Basic understanding of business metrics and KPIs


Behavioral Competencies

  • Strong ownership and accountability

  • Curious mindset with a passion for data and insights

  • Ability to manage multiple priorities and meet deadlines

  • Collaborative and proactive approach to problem-solving



Requirements

Role Overview

We are looking for a detail-oriented Data Analyst who can transform raw data into meaningful insights that drive business decisions. The role requires strong hands-on expertise in Google Sheets, SQL, and Tableau, along with the ability to communicate data-backed stories clearly to stakeholders.


Key Responsibilities

  • Collect, clean, and analyze large datasets from multiple sources

  • Build and maintain dashboards and reports using Tableau for business tracking and performance analysis

  • Write and optimize SQL queries to extract, manipulate, and validate data

  • Use Google Sheets for data analysis, automation, reporting, and ad-hoc insights

  • Identify trends, patterns, and anomalies to support strategic decision-making

  • Work closely with cross-functional teams (Sales, Marketing, Operations, Finance) to understand data needs

  • Ensure data accuracy, consistency, and integrity across reports

  • Translate complex data findings into clear, actionable insights for non-technical stakeholders


Required Skills & Qualifications

  • Strong working knowledge of Google Sheets (formulas, pivots, data validation, automation)

  • Proficiency in SQL (joins, subqueries, aggregations, performance optimization)

  • Hands-on experience with Tableau (dashboards, calculated fields, filters, visual storytelling)

  • Strong analytical and problem-solving skills

  • Ability to work with large datasets and maintain high attention to detail

  • Good communication skills with the ability to explain insights clearly


Preferred Qualifications

  • Bachelor’s degree in Data Analytics, Statistics, Mathematics, Computer Science, or a related field

  • Experience working with business stakeholders and leadership teams

  • Exposure to data-driven decision-making environments

  • Basic understanding of business metrics and KPIs


Behavioral Competencies

  • Strong ownership and accountability

  • Curious mindset with a passion for data and insights

  • Ability to manage multiple priorities and meet deadlines

  • Collaborative and proactive approach to problem-solving