Data Analyst

Job Title: Data Analyst (34 Years Experience)

Company Name: AIS Technolabs Pvt Ltd

Location: Ahmedabad - Onsite

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

Employment Type: Full-time

( We need only Candidates who are Located in Ahmedabad and interview will be F2F)

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.