Data Analyst

SourcingXPress; Maharashtra; On-site; INR 550,000 - 850,000; Full time

Job summary

SourcingXPress is seeking a Data Analyst to collect, process, and analyze data, building reliable data pipelines and actionable insights for data‑driven decisions across the organization.

The role requires strong Python and SQL skills, experience with ETL/ELT pipelines, and proficiency in BI tools. You will translate business questions into analytical problems and communicate findings to stakeholders.

Qualifications

• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field.
• 2–5 years of experience in data analysis.
• Proficient in Python and SQL.
• Experience building or maintaining data pipelines (ETL/ELT).
• Hands‑on experience with at least one BI/visualization tool.
• Familiarity with AI/ML concepts and productivity tools.

Responsibilities

• Gather data from multiple sources and ensure accuracy, consistency, and completeness.
• Clean, transform, and prepare data for analysis using Python and SQL.
• Build and maintain ETL/ELT pipelines to automate data collection and loading.
• Perform exploratory and statistical analyses to identify trends and correlations.
• Create dashboards/reports with Power BI, Tableau, or Looker Studio.
• Translate business questions into analytical problems and present findings clearly.

Skills

Python (pandas, NumPy)

SQL

Data analysis

ETL/ELT pipelines

BI tools

AI/ML concepts

Communication skills

Education

Bachelor's degree in Statistics/Mathematics/CS/Economics

Tools

Airflow

dbt

Cloud data services

Power BI

Tableau

Looker Studio

Job description

We are looking for a Data Analyst to collect, process, and analyze data, build reliable data pipelines, and uncover actionable insights that support data‑driven decision‑making across the organization.

Key Responsibilities

• Gather data from multiple sources (databases, APIs, spreadsheets) and ensure its accuracy, consistency, and completeness.
• Clean, transform, and prepare raw data for analysis using Python and SQL.
• Build and maintain data pipelines (ETL/ELT) to automate data collection, transformation, and loading.
• Perform exploratory and statistical analysis to identify trends, patterns, and correlations.
• Build, automate, and maintain dashboards and reports using BI tools (Power BI, Tableau, or Looker Studio).
• Write and optimize SQL queries to extract and manipulate data.
• Apply AI/ML techniques where relevant—predictive analysis, segmentation, forecasting, and leverage AI tools to improve analysis and reporting efficiency.
• Translate business questions into analytical problems and communicate findings clearly to stakeholders.
• Define, track, and report on KPIs; flag anomalies and opportunities proactively.
• Document data definitions, methodologies, and pipeline/reporting processes; maintain data quality standards.

Requirements

• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field.
• 2–5 years of experience in data analysis.
• Strong proficiency in Python (pandas, NumPy) and SQL.
• Experience building or maintaining data pipelines (ETL/ELT); exposure to tools like Airflow, dbt, or cloud data services is a plus.
• Hands‑on experience with at least one BI/visualization tool (Power BI, Tableau, Looker Studio).
• Basic knowledge of AI/ML concepts (regression, classification, forecasting) and familiarity with AI tools (e.g., ChatGPT/LLM‑based workflows) for productivity.
• Solid understanding of descriptive statistics; A/B testing knowledge is a plus.
• Strong analytical thinking, attention to detail, and communication skills.