?Pogula Rohini Priya
Business Data Analyst Power BI & Snowflake, Azure Enterprise Analytics
****************@*****.*** +1-314-***-**** www.linkedin.com/in/rohini-priya-pogula-021885390
PROFESSIONAL SUMMARY
? Accomplished Business Data Analyst with over 10 years of progressive experience in supporting data analysis, reporting operations, business process evaluation, operational decision support across diverse enterprise environments through structured analytical practices, and business-focused reporting solutions. Worked extensively with operational datasets to extract, reconcile, validate, prepare critical information required for reporting cycles, operational reviews, planning discussions, analytical interpretation across functional teams.
? Developed business reporting solutions and analytical views to present operational performance trends, customer behavior, equipment servicing patterns, reporting metrics, supply chain performance, improving visibility into day-to-day operations and reporting needs.
? Supported preparation, validation of structured datasets across reporting environments by reviewing transformation logic, reconciling source-level records, validating field-level consistency, resolving reporting discrepancies, improving reliability of analytical outputs.
? Applied EDA techniques to evaluate demand shifts, transactional irregularities, promotional performance, operational bottlenecks, servicing patterns, maintenance trends, and recurring process inefficiencies to support practical interpretation of operational performance.
? Gathered reporting and operational requirements from business users and functional teams, translated business needs into structured analytical workflows, clarified data dependencies, and maintained alignment between business expectations and reporting outputs.
? Performed detailed data cleansing, preparation, reconciliation, consistency validation across operational datasets to strengthen reporting accuracy, improve usability of analytical outputs, and support dependable interpretation of business performance indicators.
? Documented reporting processes, workflow dependencies, source-to-target relationships, transformation pathways, reporting definitions to improve transparency of analytical processes & strengthen shared understanding between technical and non-technical stakeholders.
? Participated in Agile delivery environments by supporting reporting enhancements, validating evolving requirements, refining requests, coordinating implementation dependencies, reviewing reporting outputs, contributing to structured improvements in reporting workflows.
? Worked with ERP, procurement, supply chain, brokerage, lending, servicing, inventory, financial reporting datasets to support operational planning, reporting consistency, budgeting activities, performance evaluation, process-level analysis across domain-specific functions.
? Supported compliance-aligned reporting practices by validating reporting extracts, reconciling operational records, reviewing reporting lineage, documenting business definitions, maintaining reporting consistency, assisting audit-related reporting preparedness activities.
? Collaborated with reporting teams, operational users, business analysts, technical teams to improve reporting usability, clarify business metrics, support self-service reporting adoption, and improve accessibility of reporting outputs for informed decision-making.
TECHNICAL SKILLS
1. Data Visualization & Reporting: Power BI, Tableau, Excel, Excel VBA
2. Databases & Querying: SQL Server, SQL, Azure Synapse Analytics, Snowflake
3. Integration & Processing: Azure Data Factory (ADF), Analysis Services, AWS S3, Data Lake
4. Programming & Analytics: Python (Pandas, Scikit-learn)
5. BA & Process Modeling: BPMN, Visio, Lucidchart, Source-to-Target Mapping, Data Lineage, Gap Analysis
6. Project & Collaboration Tools: Jira, Confluence, Smartsheet, MS Project
7. Methodologies & Delivery: Agile Scrum, Kanban, S&OP, Lean Manufacturing, Six Sigma, Data Governance
8. Compliance & Controls: SOX Compliance, Regulatory Reporting, Data Validation, Audit Support
WORK EXPERIENCE
Senior Business Data Analyst Siemens Healthineers, Walpole, MA Aug 2025 ? Present
? Utilized Synapse Analytics and SQL Server to integrate operational, service, inventory, and financial datasets from platforms into structured analytical layers, supporting consistent reporting across diagnostic operations, procurement, and finance-related business functions
? Developed Power BI dashboards supported by Analysis Services models to monitor healthcare operational performance, equipment service utilization, financial reporting metrics, procurement activity, and reporting consistency across business-facing analytical environments
? Applied Python to evaluate clinical equipment maintenance histories, and utilization records by preparing structured datasets, identifying recurring maintenance behaviors, and supporting analytical assessment, and equipment performance consistency across environments
? Supported preparation and validation of reporting extracts aligned with SOX compliance requirements and internal governance practices through reconciliation of source-level records, validation of downstream reporting consistency across operational datasets
? Collaborated with teams and technical stakeholders to gather reporting requirements, document source-to-target mappings, define ingestion specifications, and translate operational reporting needs into structured analytical workflows supporting business processes
? Designed structured SQL Server data models and optimized query logic to support operational analytics, equipment servicing analysis, and reporting requirements involving large datasets, reference tables, historical records, and operational master data relationships
? Performed detailed validation of ADF ingestion pipelines by reviewing transformation logic, identifying schema mismatches, resolving incomplete relationships between datasets, and addressing quality inconsistencies affecting downstream reporting outputs
? Applied Excel automation to improve reconciliation workflows between legacy systems, reporting datasets, cloud-based analytical outputs through automated validations, consistency checks, and reduction of repetitive manual review activities during reporting cycles
? Supported Agile Scrum delivery activities to coordinate reporting enhancements, monitor ingestion dependencies, document analytical deliverables, track validation activities, maintain visibility into reporting-related implementation timelines and workflow dependencies
? Utilized Collibra to document metadata standards, reporting lineage, dataset ownership references, business definitions, reporting dependencies to strengthen consistency in interpretation of analytical outputs and improve controlled usage of reporting assets
? Analyzed equipment usage, maintenance activity, and operational servicing datasets to support inventory planning discussions, evaluate utilization trends, identify recurring servicing patterns, improve visibility into equipment operational behavior across business units
? Created detailed process maps, workflow diagrams, reporting flow documentation to represent integrations, reporting dependencies, transformation pathways, operational bottlenecks, and data movement processes supporting analytical transparency across systems
? Supported validation activities associated with movement of on-premise reporting datasets into analytical environments through source reconciliation, reporting continuity checks, structured review of downstream reporting dependencies during transition efforts
? Worked closely with data teams to validate ETL processes by reviewing transformation accuracy, testing data movement logic, validating reporting readiness of curated datasets, and improving reliability of operational reporting consumed by business intelligence platforms
Environment: SQL Server, Power BI, Excel VBA, Synapse Analytics, Azure Data Factory (ADF), Analysis Services, Data Lake, Visio, Lucidchart, Jira, Confluence, Smartsheet, MS Project, Agile Scrum, SOX Compliance, GIPS Standards, Collibra, Python (pandas, scikit-learn)
Senior Business Data Analyst Unilever, Connecticut, United States Sep 2024 ? Jul 2025
? Developed interactive Tableau dashboards to monitor manufacturing, fulfillment, and supply chain KPIs, improving visibility into production consistency, inventory movement, service-level performance, procurement dependencies, operational process behavior across functions
? Applied Python pandas and statistical analysis techniques to examine supply chain variables, uncover recurring causes of distribution delays, identify fulfillment inconsistencies, and support operational teams with structured analytical inputs for logistics optimization efforts
? Collaborated with supply chain planners, and business stakeholders to strengthen Sales and Operations Planning workflows through structured reporting, demand trend evaluation, inventory planning analysis, and alignment of operational assumptions across functions
? Maintained structured governance practices through Confluence by documenting business definitions, reporting assumptions, master data dependencies, metric interpretations, reporting logic to improve consistency across analytical workflows and stakeholder consumption
? Performed detailed cleansing, validation, preparation of ERP datasets to standardize supply chain, procurement, inventory, financial data, ensuring reliable inputs for planning models, budgeting workflows, variance analysis, and recurring operational reporting activities
? Documented business logic, transformation dependencies, reporting relationships, and data lineage flows to improve transparency of analytical workflows, clarify upstream & downstream data movement, and strengthen shared understanding across technical teams
? Participated in Jira and Kanban-driven delivery cycles to refine analytics requests, prioritize reporting enhancements, validate evolving business requirements, and support iterative improvements to reporting workflows within structured Agile delivery environments
? Analyzed promotional effectiveness, pricing behavior, sales response trends, demand variability using Python & regression-based techniques to support structured interpretation of campaign performance, product movement patterns, and commercial planning decisions
? Supported adoption of cloud-based reporting capabilities by assisting users in navigating BI dashboards, interpreting reporting outputs, understanding metric relationships, utilizing self-service analytical features to improve operational reporting usage across teams
? Supported Synapse Analytics ingestion workflows for integrating POS, inventory, ERP, operational datasets, ensuring analytical environments reflected structured business activity required for planning, forecasting, and reporting consumption across business units
? Created Power BI reports analyzing market share behavior, product demand shifts, sales performance, and regional consumption trends, enabling business teams to interpret competitive positioning and evaluate product performance across operational markets
? Conducted structured validation of reporting pipelines, transformed datasets, and analytical outputs to resolve inconsistencies, strengthen reporting reliability, and maintain data quality expectations across operational and commercial reporting environments
? Utilized Snowflake and SQL to consolidate distribution, and supply chain datasets from multiple systems, enabling deeper analysis of demand behavior, product movement, stock alignment, regional consumption patterns supporting operational planning activities
Environment: SQL, Excel, Power BI, Tableau, Snowflake, Synapse Analytics, Python (pandas, scikit-learn), Jira, Confluence, Visio, Lucidchart, Agile Scrum, Kanban, S&OP Processes, Lean Manufacturing, Six Sigma, KPI Reporting, Data Governance
Business Data Analyst Robinhood Markets, Inc, Chicago, IL Mar 2023 ? Aug 2024
? Wrote and refined SQL queries to extract, filter, structure trade execution records, order lifecycle information, transactional datasets supporting operational reporting, trading analytics, exception analysis, internal monitoring requirements across reporting workflows
? Utilized ADF to schedule, monitor, and validate structured data ingestion and refresh workflows, ensuring transactional datasets were consistently updated, transformation dependencies remained intact, downstream reporting environments reflected platform activity
? Collaborated with product owners, business stakeholders, and reporting teams to refine analytical requirements, clarify reporting dependencies, document acceptance criteria, support delivery of platform enhancements affecting operational and reporting workflows
? Supported compliance-related reporting activities by validating source-level data accuracy, reviewing reporting lineage, reconciling transformed outputs, and ensuring consistency of reporting datasets aligned with internal financial controls and audit expectations
? Assisted in transitioning legacy SQL-based reporting logic into Synapse-driven workflows through validation of transformation rules, testing structured outputs, reviewing reporting consistency to improve maintainability & streamline downstream processing activities
? Developed Power BI dashboards to track engagement patterns, usage behavior, trading activity trends for business & product analysis
? Performed EDA to examine transaction irregularities, behavioral trends, and data inconsistencies within brokerage operations datasets
? Maintained Analysis Services semantic models to support multidimensional reporting and analysis of trading and customer activity data
? Documented data mappings, transformation logic, reporting definitions in Confluence to maintain consistency across analytical workflows
? Created Tableau visualizations to analyze customer activity patterns & support segmentation analysis for operational decision-making
? Validated quality across Synapse Analytics pipelines to reduce inconsistencies in downstream reporting & operational analytics outputs
? Developed Excel-based reconciliation models incorporating validation logic, exception tracking, and comparison rules to verify balances, transaction records, and reporting consistency between internal brokerage systems and external financial statements
? Participated in Agile Scrum ceremonies to support iterative refinement of reporting enhancements, analytical workflows, evolving business requirements, backlog discussions, and validation of reporting logic during sprint execution cycles
Environment: SQL, Power BI, Tableau, Excel VBA, Azure Synapse Analytics, Azure Data Factory, Azure Analysis Services, Python (pandas, scikit-learn), Jira, Confluence, Agile Scrum, Financial Data Reporting, Data Validation, Regulatory Reporting Support
Business Data Analyst Nelito Systems, Navi Mumbai, India Oct 2016 ? Dec 2022
? Cleaned and validated transaction datasets using SQL to ensure accuracy and consistency in financial and operational reporting outputs
? Developed Tableau dashboards to visualize loan disbursement patterns, portfolio activity by transforming transactional datasets into structured analytical views that supported operational reviews, lending performance assessment, and business reporting requirements
? Contributed to BPMN-based process documentation by translating requirements into structured workflow representations for client systems
? Built Power BI reports summarizing transaction volumes & financial activity trends for operational monitoring and internal reporting use
? Built Excel-based KPI tracking models to monitor system performance metrics, including uptime, stability, functional reliability of modules
? Organized and maintained structured data storage in AWS S3, ensuring clear segregation of raw, processed, archived banking datasets
? Supported migration activities from legacy mainframe systems to DB environments through structured extraction and validation checks
? Wrote SQL queries to retrieve and reconcile customer account data for audit support, compliance checks, and periodic reporting cycles
? Worked with development teams in Jira to investigate and resolve data-related defects identified during user acceptance testing phases
? Maintained data dictionary documentation in Confluence to ensure consistent understanding of field definitions and data structure usage
? Performed gap analysis between legacy structures & target application models to identify inconsistencies & support system alignment
? Delivered end-user training sessions on reporting tools and dashboards, focusing on usability, interpretation, and operational adoption
Environment: SQL, Excel, Power BI, Tableau, AWS S3, Data Cleansing & Validation, KPI Reporting, Data Visualization, BPMN, Jira, Confluence EDUCATION:
Bachelor of Technology (B. Tech) in Information Technology from JNTUH, Hyderabad, Telangana, India. Aug 2012- Apr 2016