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Data Analyst with 6+ years in SQL, Power BI & Data Analysis
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented Data Analyst with 6+ years of experience in data extraction, validation, and production reporting, specializing in SQL-driven analysis and Power BI dashboards. Proven ability to ensure data accuracy, integrity, and availability across large, multi-source datasets while supporting business and marketing insights. Experienced in root cause analysis, stakeholder collaboration, and Agile environments, with a strong focus on delivering reliable, insight-ready data to support operational and business decision-making. Seeking to contribute analytical expertise and reporting excellence in a data-driven organization.
Jagannath Gupta Institute of Engineering and Technology
B. Tech · Civil Engineering
August 1, 2015 – June 1, 2019
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Cultural Fit Analysis
The candidate's experience spans consulting and technology sectors, indicating adaptability to different organizational environments. Their work with international stakeholders suggests an ability to work in diverse teams. The consistent focus on data quality, process improvement, and documentation across roles indicates a methodical and responsible work ethic. However, the transition from Civil Engineering to Data Analysis, while common, suggests a self-driven learning path. The lack of diverse project types beyond core data analysis and reporting might limit their fit for highly innovative or experimental data science roles without further development.
Soft Skills & Operational Fit
The candidate demonstrates strong attention to detail, evidenced by their focus on data accuracy, validation, and quality checks. Their experience in stakeholder collaboration, root cause analysis, and documentation creation suggests good operational fit for roles requiring meticulous data handling and cross-functional communication. The ability to manage multiple datasets and meet strict timelines indicates strong organizational and time management skills. The candidate's proactive approach to identifying and resolving data issues aligns well with a problem-solving mindset.