Mahammad Eliyaz Manikyam
Data Analyst @JPMorganChase
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WORK HISTORY
Data Analyst @JPMorganChase
US
Analyzed and prepared 2–3 million daily trading, cash, and securities records using SQL and Python, supporting revenue, P&L, and liquidity reporting for Markets and Finance teams. Built and maintained 12 Tableau and Power BI dashboards, delivering risk, profitability, and operational insights to 8–10 stakeholders across trading, risk, and business functions. Created and validated 15 analytical tables in Snowflake and Oracle, performing reconciliations and exception checks to support management and regulatory reporting. Automated 8 recurring reports and data workflows using Python and optimized SQL queries, improving readiness for daily and weekly reporting cycles. Performed exploratory and trend analysis on 12 months of historical financial data, supporting pricing reviews, margin analysis, and ad-hoc business requests. Supported SOX, Basel and SEC-aligned reporting by documenting 30 critical data elements, data lineage, and business definitions, collaborating with technology teams to resolve data issues.
EDUCATION
Sacred Heart University
Master of Science - MS, Business Analtycis
DAYANANDA SAGAR ACADEMY OF TECHNOLOGY AND MANAGEMENT, BANGALORE
Bachelor's degree
ABOUT MAHAMMAD ELIYAZ MANIKYAM
I’m a data professional with 4+ years of experience turning complex datasets into clear, actionable insights across finance, IT, telecom, and enterprise environments. I work at the intersection of analytics, engineering, and business, using data to improve decision-making, reduce operational friction, and deliver measurable impact.Currently at JPMC, I support Markets and Finance teams by analyzing 2–3 million daily trading, cash, and securities records for revenue, P&L, and liquidity reporting. I’ve built and maintained 12 Tableau and Power BI dashboards used by traders, risk managers, and business stakeholders, and developed 15+ analytical tables in Snowflake and Oracle with strong validation and reconciliation controls. By automating recurring reports and optimizing SQL workflows, I’ve improved reporting readiness and response time for ad-hoc business requests. I also support SOX, Basel and SEC-aligned reporting, strengthening data governance through documentation and lineage.Previously, at Tech Mahindra, Dell Technologies, and Trigent Software, I analyzed datasets ranging from hundreds of thousands to tens of millions of records, delivered 80+ dashboards and 150+ reports, and supported ETL pipelines processing 400K–600K records per day. My work helped leadership track KPIs across revenue, customer performance, operations, and supply chains while improving data quality, query performance, and turnaround time. I regularly partnered with cross-functional teams in Agile environments to translate ambiguous questions into structured, decision-ready insights.I’m hands-on with SQL, Python, and R, cloud platforms (AWS, Azure, Snowflake), ETL/orchestration tools, and modern BI stacks (Tableau, Power BI, Looker). I’m known for my attention to detail, problem-solving mindset, and ability to communicate complex findings clearly to both technical and non-technical audiences.I’m motivated by building trust in data through strong validation, governance, and thoughtful design. Long term, I aim to grow into roles where I can design scalable analytics ecosystems, mentor others, and influence data strategy. Open to Data Analyst, Business Intelligence Analyst, Analytics Engineer, or Junior Data Engineer r••••••••@gmail.com |+16•••••••17
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