John Jose M
Senior AnalystAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Senior Analyst with 7+ years in Business Intelligence & Reporting Automation
Result-oriented Senior Data Analyst with 7+ years of experience in business intelligence, dashboard development, and reporting automation. I am skilled in Power BI, SQL, DAX, Advance Excel, Python and Power Automate, with a strong background in HR and Sales analytics. Proven ability to deliver dynamic dashboards, automate workflows, and integrate data from SQL Server, SharePoint, and cloud platforms. Successfully implemented Row-Level Security (RLS) and built KPI-driven reports that improved decision-making and operational efficiency. Seeking senior-level opportunities to drive data strategy, enhance reporting systems, and support cross-functional teams with actionable insights.
Madras University
BCA · Computers
January 1, 2023 – January 1, 2026
Panimalar Polytechnic College
Diploma
N/A – January 1, 2016
Ashley Furniture India Private Limited
Data Analyst
April 1, 2024 – Present
India
Eltech Appliances
MIS & Data Analyst
July 1, 2023 – March 1, 2024
India
SB TVS Industrial Ventures Private Limited
MIS Analyst
February 1, 2022 – July 1, 2023
India
Spare Mind solutions (Div.of Lucas-TVS Limited)
MIS Executive
November 1, 2018 – February 1, 2022
India
Minimum Wage Details Report
May 10, 2026 – June 1, 2026
Developed standardized compliance reports using Power BI, SharePoint, and SQL, ensuring data accuracy and consistency. Implemented governed datasets with role-based access control to enhance data security and user-specific reporting. Increased reporting efficiency by 80% through automation and centralized data management.
HR Attendance Points Automation
May 1, 2026 – June 1, 2026
Automated tracking of "No Call/No Show" incidents using Python, SQL, and Power BI, reducing manual updates by 80% and decreasing cycle time by 50%. Developed notification system to promptly alert stakeholders, enhancing communication efficiency. Implemented audit-ready logging to ensure compliance and accurate reporting for reviews.
Recruitment Operations App
April 1, 2026 – June 1, 2026
Developed a Power Apps application to add, update, and delete requisition statuses, streamlining workflow management. Eliminated reliance on email and Excel, reducing communication delays by approximately 30%. Established a centralized, single source of truth, enhancing data accuracy and accessibility for the entire team.
Type writing
Unknown
June 1, 2026 – Present
Spoken English Certification
Unknown
June 1, 2026 – Present
Data Science
Unknown
June 1, 2026 – Present
Microsoft Fabric
Unknown
June 1, 2026 – Present
Python for Data Analysis & Visualization
Unknown
June 1, 2026 – Present
Advance SQL Server for Data Analysis
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project experience across different companies (Ashley Furniture, Eltech Appliances, SB TVS, Spare Mind solutions) and industries (HR, Sales, Logistics) suggests adaptability and a broad understanding of business needs. Their focus on automation, efficiency gains, and data-driven decision-making aligns with a results-oriented culture. The pursuit of certifications in Data Science, SQL, and Python indicates a commitment to continuous learning and skill development, which is a positive cultural attribute.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving and analytical skills through their project descriptions, particularly in automating complex reporting workflows and improving data accuracy. Their experience in collaborating with cross-functional teams and delivering ad-hoc insights within strict SLAs suggests good operational fit and responsiveness. The emphasis on documentation and data governance indicates a structured and quality-oriented approach to data management.