Business Intelligence & Data Analyst

Harshitha Devi Sunkara

Email: *****************@*****.***

Mobile: +1-806-***-****

LinkedIn: www.linkedin.com/in/harshithasunkara/

Business Analyst

PROFESSIONAL SUMMARY

Data Analyst with 4+ years of experience translating complex datasets into actionable insights with SQL, Python, Excel, and BI dashboards for enterprise operations stakeholders.

Created KPI reporting, semantic models, and visualizations that improved business intelligence delivery, reporting consistency, and data-driven decisions across cross-functional analytics teams enterprise-wide successfully today.

Ensured data quality, lineage, reconciliation, and governance controls across pipelines, reports, and dashboards, strengthening accuracy, compliance, and stakeholder confidence in analytics outputs consistently enterprise-wide.

Streamlined recurring reporting and data transformation workflows with Power BI, Tableau, Snowflake, dbt, and Alteryx, accelerating insight delivery while reducing manual effort enterprise-wide reliably.

Collaborated across teams to deliver executive-ready presentations that effectively conveyed strategic plans, enhancing stakeholder engagement and driving alignment on key initiatives, resulting in improved decision-making and project outcomes.

Demonstrated leadership communications by guiding cross-functional teams in strategic planning sessions, fostering a culture of collaboration that resolved conflicts and boosted productivity across various departments.

Worked with minimal supervision to develop comprehensive reports that streamlined workflows and provided actionable insights, ultimately enhancing collaboration and improving overall project efficiency across the organization. TECHNICAL SKILLS

Programming & Statistical Analysis - Python, R, SAS, MATLAB, STATA, statistical modeling, regression, classification, clustering, time-series analysis, A/B testing, machine learning, NLP.

Databases - Snowflake, Amazon Redshift, Google BigQuery, Oracle, MySQL, PostgreSQL, SQL Server, MongoDB

Data Analytics & BI - SQL, Power BI, Tableau, Excel, Power Query, Power Automate, Power Apps, Looker, Qlik, SAP BI, KPI design, ad-hoc analysis, dashboarding, self-service analytics

Cloud & Big Data Platforms - AWS, Azure, GCP, Hadoop, Spark, S3, Databricks

Data Engineering & Warehousing - ETL, ELT, dbt, Apache Airflow, data pipelines, data modeling, dimensional modeling, data warehouse, data marts, data lake, data quality, data governance

Process & Collaboration - Agile, Scrum, Kanban, JIRA, Confluence, Git, GitHub, stakeholder management, requirements gathering, UAT coordination

Reporting & Productivity - PowerPoint, SharePoint, advanced Excel (Power Pivot, macros), documentation, executive reporting, storytelling decks

Cybersecurity & Compliance - Identity Governance, OT Security, ICS Cybersecurity, Risk Management, Crisis Management

PROFESSIONAL EXPERIENCE

Viz.ai November 2023 – Present

Data Analyst Remote, USA

Streamlined workstreams and programs across multiple departments, enhancing collaboration and reducing project turnaround times by 30%, thereby increasing overall operational efficiency and cross-functional synergy.

Revolutionized user experience through strategic planning initiatives, implementing UX enhancements that increased user engagement by 35% and significantly improved customer satisfaction scores across platforms.

Pioneered product management strategies focused on operational effectiveness, streamlining workflows that led to a 20% increase in team productivity and a measurable impact on project delivery timelines.

Developed a comprehensive cybersecurity technology portfolio, delivering decision-ready presentations and establishing reporting standards that improved incident response time by 40% and bolstered overall security posture.

Spearheaded the integration of Identity Governance and OT Security frameworks, enhancing operational effectiveness across application engineering teams, resulting in a 30% reduction in security incidents and improved compliance metrics.

Analyzed financial datasets with SQL, Python, and Tableau, identifying trends that improved risk reporting, fraud analysis, and stakeholder decision-making across business operations consistently enterprise-wide.

Designed Power BI dashboards with semantic models, DAX, and KPI scorecards, strengthening executive reporting consistency and visibility into customer behavior trends for leadership teams.

Modeled predictive analytics workflows with Snowflake, regression, and segmentation methods, improving forecasting reliability and supporting data-driven recommendations for financial stakeholders across portfolios consistently enterprise-wide.

Standardized data governance, lineage, and quality checks across reports and pipelines, increasing trusted analytics adoption and reducing reconciliation issues for cross-functional teams enterprise-wide consistently. Bristol Myers Squibb June 2021 – November 2022

Data Analyst Hyderabad, India

Spearheaded crisis management initiatives by implementing automated monitoring tools that enhanced observability, achieving a 99.99% system reliability rate during peak traffic periods, significantly reducing incident response times.

Consolidated governance materials and established metrics for tracking performance, leading to a 15% improvement in operational transparency and enabling data-driven decision-making across teams.

Optimized performance reporting systems and aligned reporting inputs to real-time analytics, resulting in a 50% reduction in report generation time and improved data accuracy for strategic decision-making.

Architected ICS Cybersecurity frameworks and enhanced Risk Management governance processes, achieving a 99.9% compliance rate and significantly reducing vulnerabilities within critical infrastructure environments.

Orchestrated executive decision-making sessions with operational stakeholders, driving continuous improvement initiatives within product engineering that increased delivery speed by 25% and enhanced feature adoption rates.

Integrated enterprise data sources through ETL, APIs, and Snowflake, streamlining reporting layers and improving scalable analytics delivery for client stakeholders across engagements consistently enterprise-wide.

Configured Alteryx and dbt workflows to transform curated datasets, reducing manual preparation effort and enabling repeatable business intelligence reporting across client engagements consistently enterprise-wide.

Documented business requirements, user stories, and acceptance criteria in Jira and Confluence, aligning analytics solutions with Agile delivery and stakeholder priorities across teams consistently.

Delivered ad hoc analysis with SQL, Python, and Looker, translating complex datasets into actionable insights that improved operational reporting for enterprise clients consistently enterprise-wide. CERTIFICATIONS

Tableau Desktop Specialist — Salesforce

SQL (Advanced) — HackerRank

Azure Fundamentals AZ-900 — Microsoft

EDUCATION

Master's in Information Science - The University of Texas

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