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Data Analyst

AIS Technolabs Pvt Ltd

0 - 3 years

Ahmedabad

Posted: 27/04/2026

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Job Description

Job Title: Data Analyst (34 Years Experience)

Company Name: AIS Technolabs Pvt Ltd

Location: Ahmedabad / Remote

Working Days: Alternate Saturdays (1st & 3rd working)

Employment Type: Full-time


About the Company -

AIS Technolabs Pvt Ltd is an award-winning web, mobile app, and game development company established in 2011. With a strong global presence, the company has successfully served 8500+ clients across 39+ countries. AIS Technolabs specializes in delivering customized IT solutions ranging from web and mobile applications to digital marketing and enterprise solutions.


Required Qualifications & Skills -

Experience: 34 years in a dedicated Data Analyst or Business Intelligence role.


Excel Mastery: Expert-level proficiency in Microsoft Excel, including advanced functions (XLOOKUP, INDEX/MATCH, and Power Query) and complex PivotTable modeling.


AI Fluency: Demonstrated ability to use Generative AI tools for prompt engineering, code generation (SQL/Python/VBA), and data transformation.


Database Knowledge: Solid understanding of SQL for data extraction and manipulation from relational databases.


Analytical Mindset: A "detective" approach to datafinding the why behind the numbers, not just the what.



Key Responsibilities:

Data Architecture & Management: Design, build, and maintain robust, structured datasets tailored for complex business analysis.


Strategic Dashboarding: Develop high-impact, interactive dashboards that translate raw data into compelling visual stories for stakeholders.


AI Workflow Integration: Proactively leverage LLMs (ChatGPT, Claude, Gemini) to automate repetitive data cleaning, generate complex Excel formulas, and summarize technical insights.


MIS & Reporting: Own the end-to-end delivery of daily, weekly, and monthly MIS reports, ensuring 100% accuracy and integrity.


Insight Discovery: Perform deep-dive analysis on large-scale datasets to identify hidden trends, anomalies, and growth opportunities.


Process Automation: Identify bottlenecks in manual reporting and implement automated solutions to enhance team productivity.


  • Cross-Functional Collaboration: Partner with internal departments to translate business questions into technical data requirements.

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