Data Analyst

Swastiks; Bengaluru; On-site; INR 400,000 - 750,000; Full time

Job summary

Swastiks is seeking a Data Analyst to collect, clean, and interpret complex datasets to drive business strategy and decision-making. The role involves building dashboards, maintaining data systems, and applying SQL/Python to solve problems. You will present actionable insights to stakeholders and support strategic initiatives.

The position emphasizes data manipulation, statistical analysis, and clear communication of findings to influence decisions across teams.

Qualifications

• Experience collecting, cleaning, and preparing data.
• Strong SQL and Python skills.
• Ability to build and interpret dashboards for business users.

Responsibilities

• Data Collection & Management: Building and maintaining databases, data systems, and pipelines.
• Data Cleaning & Prep: Cleaning and preprocessing raw data to remove inconsistencies.
• Analysis & Modeling: Applying statistical techniques for descriptive or predictive analytics.
• Visualization & Reporting: Creating dashboards to present findings to stakeholders.
• Business Strategy: Defining KPIs and enabling data-driven decision making.

Skills

SQL

Python

Data Visualization

Dashboarding

Statistical Analysis

Tools

Tableau

Power BI

Looker

Job description

A Data Analystcollects, cleans, and interprets complex datasets to provide actionable insights, driving business strategy and decision-making. They build dashboards, maintain data systems, and use SQL/Python to solve problems. Key responsibilities include data manipulation, statistical analysis, and presenting findings to stakeholders.Prospects

+5

Key Responsibilities

• Data Collection & Management:Building and maintaining SQL databases, data systems, and pipelines for accuracy and quality.
• Data Cleaning & Prep:Cleaning, restructuring, and preprocessing raw data to remove inconsistencies, often taking up to 60-70% of the role.
• Analysis & Modeling:Utilizing statistical techniques to analyze data, identify patterns, and perform descriptive/predictive analytics.
• Visualization & Reporting:Creating dashboards with tools like Tableau, Power BI, or Looker to present findings to stakeholders.
• Business Strategy:Collaborating with teams to define KPIs, identify process improvements, and support decision-making.