Data Analyst

Freelancer; Bangalore Rural; Hybrid; INR 700,000 - 1,100,000; Full time

Job summary

Freelancer in Bangalore is seeking a Data Analyst with 4–6 years of experience to join in a hybrid setup, with working hours 1:00 PM to 10:00 PM IST.

You will analyze large datasets using SQL and Python, develop dashboards, and collaborate with marketing and sales to optimize campaigns. Expect to apply statistical methods like regression and clustering and stay current with analytics techniques.

Qualifications

• 4–6 years of data analysis experience required.
• Proficiency in SQL and Python for data wrangling and analysis.
• Experience with data visualization and reporting.
• Strong knowledge of statistics, regression, and clustering.

Responsibilities

• Analyze large datasets using Python, SQL and statistical techniques to identify trends and insights.
• Develop and maintain data-driven reports, dashboards, and visualizations for stakeholders.
• Collaborate with marketing and sales to design data-driven strategies and optimize campaigns.
• Apply advanced analytical methods such as clustering and predictive modeling.
• Continuously research and implement the latest data analysis methodologies to enhance analytical capabilities.
• Monitor and troubleshoot issues related to authentication, SSO, MFA, and provisioning workflows across integrated systems.

Skills

SQL

Python

Exploratory Data Analysis

A/B Testing

Hypothesis Testing

Regression

Clustering

Statistics

Job description

HI ,

Skills – Data Analyst

Exp- 4-6yrs

Work – Hybrid mode (Working Hours: 1:00 PM to 10:00 PM IST)

Location: Bangalore

Skills – SQL / Python /Exploratory Data Analysis/Testing (Hypothesis or A/B) /Regression / Clustering /Statistics

Primary Responsibilities:

• Analyze large and complex datasets using Python, SQL, and statistical techniques to identify trends, uncover patterns, and generate actionable insights that support and drive business growth.
• Develop and maintain data-driven reports, dashboards, and visualizations to effectively communicate insights to stakeholders.
• Collaborate with cross-functional teams, including marketing and sales, to design data-driven strategies and optimize campaign performance.
• Apply advanced analytical methods such as clustering, predictive modeling, and inferential statistics to support decision‑making.
• Continuously research and implement the latest data analysis and statistical methodologies, tools, and technologies to enhance analytical capabilities Monitor and troubleshoot issues related to authentication, SSO, MFA, and provisioning workflows across integrated systems.
• Stay current with emerging IAM technologies, platform updates, and industry best practices to enhance system reliability and security posture