Data & Reporting Analyst - SQL - Tableau - Python

Manideep Muniganti

Data & Report Analyst

Cincinnati, OH 45069

PROFESSIONAL SUMMARY

TECHNICAL SKILLS

Databases & Querying: SQL, Advanced SQL Queries, Data Validation, Data Consolidation, Data Modeling.

Reporting & BI Tools: Tableau, Cognos, SAS, Microsoft Excel (Advanced), Microsoft Access, Business Intelligence Reporting, Dashboard Development.

Data Analytics & Automation: Python, Alteryx, Data Transformation, Data Quality Analysis, Process Improvement.

Cloud & Platforms: Google Cloud Platform (GCP), Cloud-Based Querying, Cloud Reporting Solutions.

Data Management & Governance: Reporting Standards, Data Accuracy & Reliability, Upstream Data Process Improvement, Documentation & Training Materials.

Collaboration & Delivery: Requirements Gathering, Stakeholder Engagement, Intake Sessions, Prioritization, End-User Training, Cross-Functional Collaboration.

EDUCATION

Wright State University – Dayton, Ohio Aug 2023 – May 2025 Master of Science, Computer Science

PROFESSIONAL EXPERIENCE

Siemens Healthineers Jan 2025 – Jan 2026

Role: Data & Reporting Analyst Cary, NC, USA

Description: At Siemens, I worked closely with finance, audit, and operations teams to deliver high-impact reporting and analytics solutions supporting business decisions across multiple service lines. Translated complex business questions into structured datasets, SQL queries, and executive-ready dashboards. Owned report lifecycle from intake, validation, and optimization to user training and documentation. Improved reporting reliability and data quality through process enhancements and upstream data fixes. Enabled leadership with timely, accurate insights that improved efficiency, compliance, and operational visibility. Responsibilities:

Designed and delivered enterprise-level reporting solutions using SQL, Advanced Excel, and Tableau, enabling leadership teams to analyse financial and operational KPIs, resulting in 28% faster decision turnaround across audit and advisory engagements.

Led end-to-end report development lifecycle, including requirements intake sessions, prioritization, data validation, and stakeholder sign-off, reducing rework by 35% and improving report adoption across business units. Phone: +1(513) – 428 - 6878 Email: *****************@*****.*** Data & Reporting Analyst with 3+ years of experience delivering end-to-end reporting, analytics, and business intelligence solutions that support operational and strategic decision-making. Strong background in SQL-driven data analysis, advanced Excel reporting, and transforming complex datasets into clear, actionable insights for business stakeholders. Proven experience in collecting, validating, interpreting, and organizing data, maintaining and enhancing reporting pipelines, and improving data quality through process optimization. Adept at requirements gathering, stakeholder collaboration, report optimization, and user training. Hands-on exposure to Tableau, Cognos, SAS, Python, Alteryx, and cloud-based querying using Google Cloud Platform, with domain experience supporting healthcare, claims, and benefits data environments.

Built complex SQL queries to consolidate data from multiple source systems, ensuring accurate aggregation, validation, and reconciliation of large datasets supporting compliance and regulatory reporting needs.

Optimized legacy reports by refactoring inefficient queries and improving data models, increasing report performance by 40% and reducing system load during peak reporting cycles.

Partnered with upstream system owners to identify recurring data quality issues and implemented corrective process improvements, lowering data defects by 30% quarter over quarter

Developed standardized Excel dashboards with advanced formulas, pivot tables, and automation logic, enabling analysts to self- serve insights without manual intervention.

Implemented Tableau dashboards aligned to internal reporting standards, delivering real-time visibility into revenue, utilization, and operational trends for executive stakeholders.

Created detailed documentation and delivered end-user training sessions, increasing reporting tool adoption by 45% across finance and operations teams

Supported ad-hoc analytical requests by interpreting business questions and transforming raw datasets into actionable summaries and executive-level reporting views.

Improved data iteration and refresh processes through automation and validation checks, reducing reporting errors by 25%.

Collaborated cross-functionally with IT and data engineering teams to ensure secure access controls and compliance with internal data governance policies.

Assisted in data modeling efforts to improve consistency across reporting layers, supporting scalable and repeatable analytics solutions.

Leveraged Python for data cleansing and transformation tasks, reducing manual processing time by 20%.

Supported quality improvement initiatives by analysing reporting defects and recommending corrective actions tied to measurable outcomes.

Ensured reporting solutions met audit, accuracy, and performance standards while maintaining clear communication with business stakeholders.

Environment: SQL, Advanced Excel, Tableau, Python, Data Validation, Reporting Standards, Data Modeling, Business Intelligence, Stakeholder Collaboration.

QBE Insurance Group Jul 2022 – July 2023

Role: Data & Report Analyst Mumbai, India

Description: At QBE, I delivered data and reporting solutions supporting insurance operations, claims analysis, and performance monitoring. Worked directly with business users to translate reporting needs into structured datasets and dashboards. Enhanced report reliability and efficiency through optimization and automation. Supported data quality and process improvement initiatives across reporting pipelines. Enabled informed decision-making through accurate, timely, and actionable insights. Responsibilities:

Built and maintained insurance analytics reports using SQL, Advanced Excel, and Tableau, improving claims and operational visibility by 35%.

Designed complex queries to analyse policy, claims, and performance data, ensuring accurate aggregation and validation across reporting layers.

Led reporting intake sessions with business stakeholders to prioritize deliverables and align analytics outputs with operational goals.

Enhanced legacy reports by optimizing queries and improving data models, reducing report generation time by 42%.

Implemented data validation and reconciliation checks that reduced reporting errors by 28%.

Developed executive dashboards providing actionable insights into claims trends, loss ratios, and operational KPIs.

Supported data consolidation initiatives by integrating multiple data sources into unified reporting structures.

Collaborated with upstream system teams to resolve data inconsistencies and improve overall data reliability.

Automated recurring reports using Python and Excel, saving 20+ hours per month in manual effort.

Created detailed documentation and delivered training sessions to improve reporting tool adoption.

Supported quality improvement initiatives by identifying data issues and recommending corrective actions.

Provided ad-hoc analytics and summaries to support leadership decision-making and audits.

Ensured adherence to internal reporting standards, governance, and security controls.

Improved stakeholder confidence in analytics by consistently delivering accurate and timely reporting solutions. Environment: SQL, Excel, Tableau, Python, Data Validation, Data Modeling, Business Intelligence, Reporting Optimization. JLL Incorporated Mar 2021 - Jun 2022

Role: Data & Reporting Analyst Mumbai, India

Description: At JLL, I supported real estate and facilities operations through data analytics and reporting solutions that improved operational transparency. Partnered with stakeholders to transform raw data into standardized, actionable reports. Maintained and optimized reporting assets to ensure performance and reliability. Improved data quality by collaborating with system owners and enhancing upstream processes. Enabled users through training and self-service analytics capabilities. Responsibilities:

Delivered operational and performance reporting solutions using SQL, Advanced Excel, and Tableau, improving visibility across property and facilities portfolios by 38%.

Gathered reporting requirements through structured intake sessions and translated business needs into scalable analytics solutions.

Developed optimized queries to validate, interpret, and organize large datasets from property management systems.

Improved report performance by refactoring inefficient logic and enhancing data models, reducing load times by 40%.

Implemented data quality controls that reduced reporting discrepancies by 30%.

Designed interactive dashboards supporting leadership decisions on utilization, costs, and operational efficiency.

Supported data consolidation initiatives by integrating multiple operational data sources.

Collaborated with system owners to improve upstream data processes and reduce recurring data issues.

Automated recurring reports using Python and Excel, reducing manual reporting effort by 25%.

Created documentation and conducted training sessions to improve end-user adoption of reporting tools.

Delivered ad-hoc analytics and summaries to support operational reviews and strategic planning.

Contributed to continuous process improvement initiatives by identifying inefficiencies in reporting workflows.

Ensured compliance with internal data governance and security requirements.

Increased stakeholder trust by consistently delivering accurate, timely, and actionable reporting outputs. Environment: SQL, Excel, Tableau, Python, Data Quality Management, Reporting Standards, Business Intelligence, Stakeholder Collaboration.

CERTIFICATIONS

Google Professional Data Engineer.

Tableau Certified Data Analyst.

Contact this candidate