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Business Analyst

Location:
Detroit, MI
Posted:
May 01, 2025

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Resume:

Fnu Lubna

Detroit, Michigan 678-***-****

LinkedIn: https://www.linkedin.com/in/fnu-lubna-44593a141/ Email: ************@*****.***

SUMMARY

Detail-oriented and analytical Business Analyst with over 7 years of experience in business process analysis, data interpretation, and cross-functional collaboration. Skilled in analyzing complex business problems using both internal and external data sources to deliver actionable insights that support strategic and operational decision-making. Proven ability to identify trends, construct forecasts, and prepare business and technical documentation to guide project execution and compliance efforts. Proficient in tools such as Excel, Power BI, and Salesforce, with a foundational understanding of systems analysis and regulatory requirements. Adept at working with diverse stakeholders to tailor reporting, streamline workflows, and contribute to cost savings, process improvement, and successful system conversions. Seeking a Business Analyst role to leverage my skills set and improve the efficiency of organization. EDUCATION

Mercer University, Atlanta Georgia, USA

MS in Business Analytics Aug 2023 - Dec 2024

Osmania University, Hyderabad

MBA (HR)

Telangana, India

September 2014 – June 2016

Osmania University, Hyderabad Telangana, India

Bachelor of Commerce June 2011 - June 2014

CORE COMPETENCIES

• Analytical Problem-solving • Result-Driven Decision Making

• Data-Driven Insight

• Adaptability • Process Improvement • Attention to detail

• Proactive • Stakeholders Collaboration • Project Management PROFESSIONAL EXPERIENCE

PepsiCo, Hyderabad, India

September 2020 – December 2022

Deputy Manager- Sales

PGT Project: Applied data analytics to execute customer business planning integration in SAP wherein I worked as a UAT tester to migrate the tool from CAS TPM to SAP CBP, SIT, and sales/pricing team, improved the efficiency of the new tool by finding and fixing the nuances by ensuring correct data flows in the system, addressing the bugs. Hence, during the go- live results showed a significant improvement in accuracy and efficiency levels from 20% to 85%.

• Coached and led a team of 35 in mastering the SAP tool, fostering a culture of continuous learning through hands- on training sessions and knowledge-sharing initiatives to enhance proficiency and ensure seamless adoption of the new platform.

• Collaborate with cross functional teams such as finance, pricing, and sales teams to build and maintain Trade Promotion Management planning models of multiple customers like Walmart and Costco and ensure it is aligned with customer calendar in terms of volume forecast, on-ticket pricing updates, leveraging technology such as SAP TPM to meet deadlines and customer pricing calendar requirements.

• Led a strategic initiative to develop and automate Power BI dashboards for analyzing and tracking short pay aging, leveraging data from SAP and other systems to identify trends and root causes. This initiative enhanced decision- making, reduced dispute resolution time, and improved financial accuracy and operational efficiency

• Expertise in data management, analyzing and managing P&L statements to monitor financial performance and identify areas for improvement.

Parexel, Hyderabad, India February 2018 – September 2020 Validation Pricing Analyst

• Review budget failures and run a quality check on pricing tools, contract documents (Work-Orders, CIS, etc.), and relevant fields within ‘Contract Link/Salesforce agreement record to ensure accuracy and consistency of financial information and help submission of Load requests into all relevant systems by collaboratively working with senior management from Business operation and finance team.

• Maintained accuracy and Optimized budget validation processes using data analysis and complex analysis, reducing budget failures from 80% to 15%, resulting in a great process improvement by bringing a refinement towards the first-time quality check.

• Analyzing budget errors and failures, trend report of budgets based on aging, critical level, and find the solution, and make the required corrections in the budget tool by providing inputs to contract managers on preventative steps to increase accuracy & timelines for successful budget Load in CRM export tool which get integrated into salesforce, and by ensuring accurate budget process flow in salesforce as per business requirements. Validating the MSA, SUWO, CO, and WO by analyzing data in pricing tools. DSM Shared Services, Hyderabad, India March 2015 – October 2017 Accounts Payable Specialist

• Optimized accounts payable processes by processing high-volume invoices (PO & Non-PO) in SAP, implementing three-way matching to enhance accuracy, resolve discrepancies, and ensure compliance with EMEA tax codes and VAT regulations.

• Led financial closing activities (monthly, quarterly, and annual), ensuring seamless accounts payable reconciliation, accurate reporting, and adherence to regulatory standards, contributing to continuous operational excellence and improved efficiency.

• Audited payment and invoice processing activities to ensure compliance with internal controls and policy guidelines, identifying discrepancies and driving process improvements for enhanced accuracy and financial integrity.

• Streamlined customer query resolution by handling service tickets, collaborating with finance teams and vendors, and implementing structured workflows, ensuring the delivery of high-quality service.

• Programming

(R/Python)

• CAS TPM

• Tableau

TECHNICAL SKILLS

• SQL

• Sales Force

• Power-BI

• Microsoft Excel

• SAP

• CRM Export tool

ACADEMIC PROJECTS

Johnson and Johnson – Financial Analysis: Analyzed Johnson & Johnson's financials, valuation, and market position, providing investment insights and a Sell/No Buy recommendation. Online Shopping Behavior: Leveraged SQL for data processing and Power BI for interactive dashboards, analyzing purchase trends, customer behavior, and conversion rates. Utilized DAX measures for key metrics and applied logistic regression forecasting to predict purchasing patterns, driving e-commerce insights. Does GDP affect the suicide rate: Analyzed the impact of GDP on global suicide rates using panel data models. Identified significant correlations between economic conditions and mental health trends.



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