Senior Data Analysis with 3+ years in Retail & Manufacturing Analytics, skilled in SQL, Python, and
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven Data Analyst with 3.5+ years of experience in Retail and Manufacturing Analytics, skilled in SQL, Excel, Python, and Power BI. Experienced in data analysis, reporting, dashboard development, and CRM/ERP data integration to deliver actionable business insights and support data-driven decision-making. Familiar with Generative AI tools and AI-assisted analytics workflows.
Visvesvaraya Technological University (VTU)
Bachelor of Engineering (B.E) · Civil Engineering
August 1, 2017 – June 30, 2021
Sightseer Innovations Pvt Ltd
Data Analyst - Marketing & CRM Analytics (Retail Domain)
January 1, 2024 – Present
India
Sightseer Innovations Pvt Ltd
Data Analyst - Supply Chain Analytics (Manufacturing Domain)
October 1, 2022 – December 31, 2023
India
AI-Powered Business Insights Assistant (Self Project)
June 1, 2026 – Present
Built a self-learning project to analyse business data and generate AI-assisted insights and automated reports using Python and OpenAI API. Key Responsibilities: Used Python, Pandas, and SQL for data cleaning, analysis, and KPI reporting. Integrated OpenAI API to generate automated business insights and report summaries. Performed data analysis on sales and operational datasets to support business decision-making.
Cultural Fit Analysis
The candidate's experience across retail marketing and manufacturing supply chain domains, coupled with a self-initiated AI project, indicates adaptability and a proactive learning attitude. Their focus on automating processes and delivering actionable insights aligns well with data-driven organizational cultures. The breadth of tools and techniques used suggests a willingness to embrace new technologies and methodologies. The civil engineering background, while not directly related, shows a foundational analytical mindset.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through their project achievements, such as improving marketing ROI and reducing reporting times. Their experience in automating workflows suggests an operational mindset focused on efficiency. The self-project involving AI-powered insights indicates initiative and a proactive approach to learning new technologies. Collaboration is implied through working with cross-functional teams to deliver insights.