KARTIK SINHA

BI & Data Analyst | Power BI | PL-300 Certified | SQL | DAX | Production Support & Ops Analytics | Ex-Infosys, Ex-HighRadius | 7+ Years | Immidiate Joiner · Lucknow, Uttar Pradesh, India

With 7+ years across Infosys and HighRadius, I've worked at the intersection of data analytics and production operations — I don't just build reports, I understand the systems and teams behind the data. 🔹 At Infosys, I wore two hats — Power BI Analyst and Production Support SME: As a Power BI Analyst, I owned the full BI delivery lifecycle — extracting data via SQL, building star schema models, writing DAX measures, and developing dashboards for SLA tracking, incident analytics, and operational performance. I published reports to Power BI Service and managed workspace access. As a Production Support SME, I owned P1–P3 incident management — coordinating across dev, infra, and business teams under live SLA pressure, mentoring junior members on triage, and turning recurring failure patterns into the dashboards I built. 🔹 At HighRadius, I was the analytical bridge between clients and engineering — owning reconciliation investigations, resolving ERP mismatches via SQL, and translating financial data problems into clear solutions. Primary client contact for data queries, proactively flagging anomalies before they impacted deliverables. What makes my profile different: As a BI Analyst: I don't just build dashboards — I build them with operational context. I understand how data breaks, where it goes wrong, and what stakeholders are asking under pressure. Fewer iterations, faster delivery, dashboards that get used beyond the first week. As a Production Support Engineer: I don't just fix incidents — I analyse them. I bring SQL depth, structured RCA thinking, and the ability to spot recurring failure patterns before they escalate — not just react when they do. Core Skills: • Power BI Dashboard Development • DAX & Data Modeling • SQL & Data Transformation • KPI & SLA Reporting • Production Support & Incident Analysis • Root Cause Analysis (RCA) • Stakeholder Collaboration • Requirement Gathering Open to: BI Analyst · Data Analyst · Reporting Analyst · Senior Production Support · Ops Analytics roles

Experience

Functional Consultant

HighRadius · Jun 2024 – Jan 2026

Not yet confirmed

• Analytical bridge between enterprise clients and engineering teams — owning data reconciliation investigations, resolving ERP data mismatches directly via SQL, and translating complex financial data problems into clear, actionable solutions.
• • Performed SQL-based data analysis to identify reconciliation issues, transaction mismatches, and ERP data inconsistencies — resolving data-layer problems end-to-end where possible.
• • Served as the primary client contact for data queries — communicating findings to both technical and non-technical stakeholders across credit management workflows.
• • Conducted structured data validation and quality checks across financial datasets, proactively flagging anomalies before they impacted client deliverables.
• • Built Excel-based pivot dashboards and SQL query outputs to support business reporting and stakeholder decision-making.
• • Led cross-functional discussions with business, product, and engineering teams — ensuring smooth issue resolution and maintaining ~99% SLA adherence.
• • Tracked and investigated client-reported issues using Jira and Salesforce, performing root cause analysis on recurring data discrepancies to reduce repeat escalations.

Technology Analyst

Infosys · Oct 2021 – Jun 2024

Not yet confirmed

• Led end-to-end Power BI delivery — from SQL data extraction and star schema modeling through to DAX development, dashboard publishing, and workspace governance on Power BI Service.
• • Designed and developed Power BI dashboards for SLA tracking, incident analytics, and operational KPI reporting — enabling leadership to monitor performance and take data-driven decisions in real time.
• • Built star schema data models and advanced DAX measures for KPI tracking, trend analysis, and operational performance monitoring.
• • Performed SQL and Power Query ETL — extracting, transforming, and loading data from multiple sources to ensure accurate, reliable reporting datasets.
• • Reduced manual reporting effort by ~30–40% by automating Excel-based reports into interactive Power BI dashboards.
• • Published and managed reports on Power BI Service — administering workspaces, report access, and data governance for stakeholder groups.
• • Collaborated with business stakeholders to gather requirements and translate operational needs into insight-driven Power BI solutions.

Senior System Engineer

Infosys · Sep 2020 – Oct 2021

Not yet confirmed

• Production Support SME managing P1–P3 incidents across enterprise systems — combining deep SQL diagnostics with cross-functional coordination to maintain system stability and SLA adherence.
• • Managed 15+ incidents/week including P1/P2 critical issues using Azure DevOps and ServiceNow — maintaining SLA-based resolution timelines across development and support teams.
• • Led incident bridge calls for P1/P2 escalations — coordinating across dev, infra, and business teams to drive faster resolution under live production pressure.
• • Performed deep SQL-based root cause analysis using logs and monitoring tools — identifying recurring failure patterns and contributing to long-term system stability improvements.
• • Mentored junior team members on incident triage, SQL diagnostics, and troubleshooting best practices — improving overall team response efficiency.
• * Utilized Power BI dashboards to monitor incident trends, SLA adherence, and operational performance metrics within production environments.
• * Assisted in developing and maintaining Power BI reports by supporting data validation, DAX calculations, and report performance optimization.

System Engineer

Infosys · Jul 2018 – Sep 2020

Not yet confirmed

• Started career in enterprise production support — handling incident management, SQL-based troubleshooting, and operational monitoring across mission-critical systems.
• • Supported enterprise production systems by resolving P2–P3 incidents within SLA timelines using ServiceNow and Jira.
• • Performed SQL-based data investigation and log analysis to diagnose production issues and support root cause identification.
• • Raised and tracked incidents in ServiceNow — ensuring accurate documentation, timely escalation, and SLA compliance.
• • Coordinated with development and infrastructure teams during incident resolution — building cross-functional collaboration skills across the SDLC.