Help & Supportcareers@gravityer.com
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with 2+ years in Data Analytics, BI, and SQL.
Detail-oriented Business Analyst with hands-on experience in data cleaning, analysis, and visualization using tools like Tableau, Qliksense, Power BI, Spotfire, Excel. Expertise in gathering business requirements, preparing detailed documentation. Proven ability to work with cross-functional teams in the FP&A domain and deliver reports that support strategic financial planning. Currently pursuing Microsoft Power BI certification (PL-300) and PL SQL to deepen expertise in interactive dashboards and data storytelling. Passionate about transitioning into a Data Analyst role where I can leverage my business analysis background, data expertise, and visualization skills to deliver advanced analytics, automate reporting, and drive strategic, data-driven decision-making.
PERIYAR UNIVERSITY
Master of commerce
N/A – May 1, 2022
MAHENDRA INSTITUTION
Bachelor of commerce
N/A – May 1, 2020
Mresult Technologies Private Ltd
Business Analyst
April 9, 2023 – December 12, 2025
Bengaluru, Karnataka, India
Microsoft Certified: Power BI Data Analyst Associate (PL-300)
Microsoft
June 1, 2026 – Present
Advanced PL/SQL Database Training
Unknown
June 1, 2026 – Present
Business Analysis Fundamentals (ECBA, CCBA, CBAP Endorsed)
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project experience in data cleaning, dashboard engineering, database management, and process automation, coupled with their business analysis background, indicates a broad skill set. Their proactive approach to upskilling (PL-300, PL/SQL) and experience in cross-functional teams (FP&A domain) suggests a collaborative and growth-oriented mindset, aligning well with a culture that values continuous improvement and versatile problem-solving.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, decision support capabilities, and effective stakeholder engagement. Their experience as a translator between technical and non-technical teams is a significant asset. The commitment to continuous learning and adaptability, as evidenced by ongoing certifications, suggests a good operational fit for dynamic data environments.