Data Analyst

Fireblaze AI School; Ahmedabad District; On-site; INR 400,000 - 800,000; Full time

Job summary

Fireblaze AI School in Ahmedabad is seeking a detailed Data Analyst to wrangle data, build models, and deliver actionable insights. You will work with Python, ML techniques, and SQL to extract, clean, and analyze data, then visualize results in Power BI for stakeholder decision making.

The role requires strong Python skills, ML knowledge, SQL proficiency, and advanced Excel capabilities, with opportunities to create impactful dashboards across projects.

Qualifications

• Proficiency in Python with libraries like Pandas/NumPy/Matplotlib/Scikit-learn.
• Strong knowledge of ML algorithms (Regression, Classification, Clustering).
• Experience with SQL for data extraction, joins, and performance tuning.
• Hands-on experience in building dashboards and reports using Power BI.

Responsibilities

• Collect, process, and clean large datasets from multiple sources.
• Perform exploratory data analysis to identify trends and patterns.
• Develop and deploy ML models for predictive and classification tasks.
• Write optimized SQL queries to extract and manipulate data.
• Create interactive dashboards and reports using Power BI.
• Utilize advanced Excel functions for data analysis and reporting.
• Present findings to stakeholders clearly and concisely.
• Collaborate with cross-functional teams to translate business requirements into data solutions.

Skills

Python

Machine Learning

SQL

Power BI

MS Excel

Data Wrangling

Tools

Power BI

MS Excel

Job description

Job Title

Data Analyst

Location

Ahmedabad

Employment Type

Full-Time (Night Shift)

Salary

As per the interview

Job Summary

We are looking for a detail-oriented and analytical Data Analyst who is proficient in Python, Machine Learning, SQL, Power BI, and Advanced Excel. The ideal candidate will be responsible for data wrangling, statistical modeling, visualization, and reporting to support data-driven decision-making.

Key Responsibilities

• Collect, process, and clean large datasets from multiple sources.
• Perform exploratory data analysis (EDA) to identify trends and patterns.
• Develop and deploy Machine Learning models for predictive and classification tasks.
• Write optimized SQL queries to extract and manipulate data.
• Create interactive dashboards and reports using Power BI.
• Utilize Advanced Excel functions (Pivot Tables, VLOOKUP, Macros, etc.) for data analysis and reporting.
• Present findings to stakeholders in a clear and concise manner.
• Collaborate with cross-functional teams to understand business requirements and translate them into data solutions.

Requirements

Required Skills & Qualifications:

• Proficiency in Python with libraries such as Pandas, NumPy, Matplotlib, Scikit-learn.
• Strong knowledge of Machine Learning algorithms (Regression, Classification, Clustering, etc.).
• Experience with SQL for data extraction, joins, and performance tuning.
• Hands‑on experience in building dashboards and reports using Power BI.
• Advanced knowledge of MS Excel including formulas, data modeling, and automation.
• Good problem‑solving and communication skills.