Role overview

Qualifications

Strong proficiency in SQL (joins, CTEs, window functions, optimization)
Hands-on expertise in advanced Python for data wrangling, automation, and analysis
Good working knowledge of Google Sheets (functions, pivot tables, lookups; scripting is a plus)
Excellent problem-solving ability with an analytical and structured approach, plus solid communication skills

Responsibilities

Write and optimize complex SQL queries for data extraction, transformation, and reporting.
Leverage advanced Python (Pandas, NumPy, etc.) for data analysis, automation, and building scalable scripts.
Work extensively with Google Sheets for reporting, dashboards, and collaboration with business teams.
Analyze large datasets, identify patterns, and provide actionable insights to support decision-making.

Key facts

Remote from: Anywhere
Full time
Senior (5-10 years)
Data Analyst
English

Hard skills

SQL (Programming Language) Python (Programming Language) Window Function Data Transformation NumPy (Python Package) Data Wrangling Test Automation Pivot Tables And Charts Lookup Tables Tableau (Business Intelligence Software) Power BI Data Visualization Amazon Web Services Google Cloud Platform (GCP) Microsoft Azure Google Apps Script

Other skills

Google Sheets
Problem Reporting
Problem Solving
Analytical Thinking
Communication
Presentations
Collaboration

About the company

Indium Software

Indium is a fast-growing, AI-driven digital engineering services company, developing cutting-edge solutions across applications and data. With deep expertise in next-generation offerings that combine Generative AI, Data, and Product Engineering, Indium provides a comprehensive range of services including Low-Code Development, Data Engineering, AI/ML, and Quality Engineering.

Company details

Company typeLarge

Company size1001 - 5000

Links

Website LinkedIn See all jobs

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Job description

This is a remote position.

Job Title: Data Analyst – SQL, Advanced Python, Google Sheets

Role Overview: We are seeking a highly skilled Data Analyst with strong expertise in SQL, advanced Python, and Google Sheets. The ideal candidate should possess excellent problem-solving skills, analytical thinking, and good communication abilities to support data-driven decision-making across teams.

Key Responsibilities: Write and optimize complex SQL queries for data extraction, transformation, and reporting. Leverage advanced Python (Pandas, NumPy, etc.) for data analysis, automation, and building scalable scripts. Work extensively with Google Sheets for reporting, dashboards, and collaboration with business teams. Analyze large datasets, identify patterns, and provide actionable insights to support decision-making. Collaborate with cross-functional teams to solve business problems using data-driven approaches. Present findings clearly and concisely to both technical and non-technical stakeholders.

Required Skills: Strong proficiency in SQL (joins, CTEs, window functions, optimization). Hands-on expertise in advanced Python for data wrangling, automation, and analysis. Good working knowledge of Google Sheets (functions, pivot tables, lookups; scripting is a plus). Excellent problem-solving ability with an analytical and structured approach. Decent communication skills to collaborate effectively with team members and stakeholders.

Good to Have: Experience with data visualization tools (Tableau, Looker, Power BI). Exposure to cloud platforms (AWS, GCP, or Azure). Knowledge of version control (Git).

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