Data Analyst

AagatiServe Pvt Ltd; Bengaluru; On-site; INR 600,000 - 1,200,000; Full time

Job summary

AagatiServe Pvt Ltd in Bengaluru is seeking a mid-level Data Analyst to translate data into actionable insights. You will design and maintain dashboards, build data applications in Python, and deliver data-driven recommendations to support strategic decision-making.

Ideal candidates have 3-5 years of analytics experience, strong Python skills, and proficiency with Power BI/Tableau. You will collaborate with stakeholders to drive data-led decisions and ensure data accuracy across outputs.

Qualifications

• 3-5 years of experience as a Data Analyst or a similar analytics role.

Responsibilities

• Collaborate with stakeholders to understand data needs and translate them into technical requirements.
• Design, develop, and maintain interactive dashboards and reports using tools like Power BI and Tableau.
• Utilize Python for data extraction, transformation, analysis, and to develop data applications and automation scripts.
• Write and optimize complex SQL queries to extract, manipulate, and analyze large datasets from various sources.
• Perform in-depth data analysis to identify trends, patterns, and insights that drive business performance.
• Present findings and recommendations to technical and non-technical audiences in a clear and compelling manner.
• Ensure data accuracy, consistency, and integrity across all reporting and analytical outputs.
• Contribute to continuous improvement of data analysis methodologies and tools.

Skills

Python

Data analysis

Stakeholder communication

SQL

Data visualization

Education

Bachelor's degree in Computer Science, Statistics, Mathematics

Tools

Power BI

Tableau

Job description

Join our innovative team at [Company Name], a leading organization committed to leveraging data for strategic decision-making and operational excellence. We foster a collaborative environment where analytical insights drive business growth and innovation.

We are seeking a proactive Mid-Level Data Analyst to join our team. In this role, you’ll work closely with business stakeholders to translate complex data into clear, actionable insights. You will be instrumental in designing comprehensive reports, building data applications in Python, and providing data-driven recommendations that support strategic and operational decision‑making across the organization.

Responsibilities

• Collaborate with stakeholders to understand data needs and translate them into technical requirements.
• Design, develop, and maintain interactive dashboards and reports using tools like Power BI and Tableau.
• Utilize Python for data extraction, transformation, analysis, and to develop data applications and automation scripts.
• Write and optimize complex SQL queries to extract, manipulate, and analyze large datasets from various sources.
• Perform in-depth data analysis to identify trends, patterns, and insights that drive business performance.
• Present findings and recommendations to technical and non-technical audiences in a clear and compelling manner.
• Ensure data accuracy, consistency, and integrity across all reporting and analytical outputs.
• Contribute to continuous improvement of data analysis methodologies and tools.

Qualifications

• 3-5 years of experience as a Data Analyst or a similar analytics role.
• Proficiency in Python for data analysis, building applications, and automation.
• Strong experience with data visualization and reporting tools (e.g., Power BI, Tableau).
• Solid SQL skills for querying, manipulating, and analyzing complex datasets.
• Ability to translate business requirements into technical solutions and actionable insights.
• Experience working closely with stakeholders to drive strategic decision-making.

Preferred Skills and Experience

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
• Experience with cloud data platforms and modern data stack tools.
• Strong analytical and problem‑solving skills with a high attention to detail.
• Excellent communication skills for presenting findings to non-technical stakeholders.