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Product Data Manager Resume

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SUMMARY

  • Hands on Data Analyst and Product Management with excellent experience in Tableau, SQL and Advanced Excel.
  • Experience in coding complex SQL queries and stored procedures.
  • Hands on using MS office and Proficient in: Word, Excel, PowerPoint, Outlook, Visio, Access
  • Trained and experienced working with SQL Server and Oracle and solid SQL coding skills.
  • Eager to advance and gain additional noledge in the Data analysis industry.
  • Provided remote service support and customizing for the SAP security
  • Seeking to apply learned noledge of Machine learning from my Master’s.
  • Strong understanding of accounting concepts, AP, AR, GL, Journals, Inventory management and methodologies.
  • Understanding of Financial modeling and analysis.
  • Extensive experience with object oriented analysis and design and developing use - case models.
  • Excellent Documentation skills and experience creating BRD, FSD, Project Charter, Use Case diagrams, Wireframes, Test Cases
  • Experience in working with various SDLCs like Waterfall, Agile methodology.
  • Understanding of DB concepts & languages like RDBMS, R, SQL, HTML, C++ Hard working and willing to learn new concepts and tools.
  • Excellent communication, technical, analytical, problem-solving and leadership skills.
  • Positive attitude and highly motivated personality.
  • A go-getter who loves to be with people and with ardent desire to learn.

TECHNICAL SKILLS

Languages/Databases: R, MS Access, C, C++, SQL, Teradata, Oracle, MySQL, Sequel Pro

Analytics Tools: Tableau, MS Excel, ActiveAdmin, Python

ETL/ Reporting: Informatica, SAP, Control-M, Business Objects, Transmit 5, CFF

Project Utilities: Microsoft Excel, Microsoft Word, PowerPoint, Visio, Access, Mission Control

BI & Analytics skills: Data Mining, Visualization, Statistical Analysis, Predictive Modelling, SURF, Tableau, SAP BO

Data Mining: Variable reduction, Segmentation/clustering techniques, Time series analysis

Project Management: JIRA, MS Project, Agile, Waterfall, Requirement Analysis

PROFESSIONAL EXPERIENCE

Confidential

Product Data Manager

Responsibilities:

  • Aggregate, clean, normalize, and visualize data from Teradata, Excel spreadsheets and other sources.
  • Querying large data sets using Custom SQL and conducting ad-hoc analysis.
  • Data driven approach for competitive analysis (Software/ Hardware / Price points / ASPs) and Performed Business analysis / forecasting / quantitative sales and market analysis for a complex multi-billion-dollar market to aid critical decision making.
  • Analyzed and Improved existing dashboards and reports by reengineering existing SQL queries & automated data quality checks.
  • Track product success metrics and present at Quarterly Business Reviews to leadership by creating Dashboards on Table.
  • Work on huge Bookings & Revenue Datasets for existingproducts by creating Reports, Analyzing & Forecasting the bookings to halp cross functional teams such as manufacturing, supply chain, engineering in planning & reducing the lead time for product delivery.
  • Automated the flow of manually pulling the data by connecting Teradata to Tableau & creating Dashboards defining Product stories & trends using multiple KPIs.
  • Product Manager:
  • Define product strategy - Includes driving product technology requirement, maintainingproduct roadmaps, feature priorities and product positioning
  • Write Product Requirement Documents and User Stories to define user flows for the next genproducts
  • Develop collateral such as datasheets, spec sheets, FAQs, NDA decks, product migration documents, white papersetc. to articulate value propositions and competitive advantages for technical and non-technical audiences & worked with Technical Marketing engineers to drive successful proofs-of-concepts, early field trials, and engage in marketing activities at various trade shows.
  • Work in a Waterfall, Agile/SCRUM and hybrid of Agile and Waterfall implementation environment.
  • Defined detailed product requirements including business cases, high-level use cases, technical requirements, revenue impact, and ROI.

Confidential

Data Analyst

Responsibilities:

  • Driving data analysis to identify and solve problems as they arose within testing and development of the app.
  • Established new processes which assisted in and improved data accuracy and validation.
  • Created and validated spreadsheets with up to tens of thousands of cells, verified thousands of pages of written records, and delivered accurate reports day to day.
  • Confirmed to Good Documentation Practices across all records in adherence to FDA standards.
  • Used Sequel Pro to query complex medical eligibility data and built complex functions.
  • Used CFF tool for Configurations and Implementation. Created Readers to automate the eligibility data to process.
  • Dealing with large sets of imperfect medical eligibility data to process it
  • Developed in-depth understanding of underlying data, data structures, and business uses to ensure reports meet customer needs.
  • Developed and produced dashboards, key performance indicators, and metrics to monitor and report on activities.
  • Review data from multiple sources and maintain database.
  • Research and resolve data load (ETL) issues from different data environments.
  • Creating test users and SSO (Single Sign on) for the Quality Assurance(QA)
  • Communicating with Direct Customers when Issue in the Data or User information.

Confidential

Jr. Data Analyst

Responsibilities:

  • Developed dashboards, reports with KPIs in Tableau 10 to analyze customer, inventory data to build strategic planning solutions.
  • Developed month end reports with key metrics, visualizations, Trent Charts, Histograms, and created excel pivot table ad-hoc reports.
  • Monitored and verified data accuracy within the ERP system and sales forecast tools.
  • Analyzed transaction data to discover patterns and design price optimization strategy.
  • Worked closely with ETL developers and halped analyze and transform data using ETL Informatica
  • Used Oracle SQL to conduct query-level analysis of search results to derive insights and investigate for customer conversation and sales.
  • Responsible for 52 stores inventory, AP, AR, Journals using QuickBooks and RetailPro.
  • Was responsible for developing a custom reporting system for each client
  • Document and maintain supporting documentation for audits.
  • Advice merchants regarding the best implementation practices and address merchant's issues.
  • Created expense report and company forms using MS Excel and RetailPro.
  • Established and led monthly collaborative process between purchasing, production, sales and marketing with respect to sales forecasts and marketing promotions to ensure inventory was available for customers and product promotions/launches
  • Committed, flexible, and has demonstrated an ability to maintain elevated levels of productivity with minimal supervision.

Confidential

Reporting Analyst

Responsibilities:

  • Created project charter defining project goals, objectives, identifying scope, resources allocation, budget, timelines, and financial forecasts.
  • Created catalogs, course guides and training brochures for sales reps to halp understand complex product features and improve sales.
  • Performed ongoing customer/market research and demographic profiling to identify and capitalize on unmet market needs ahead of the curve.
  • Provided value-added analyses for new product strategic planning and expense management.
  • Developed new ways to forecast client product needs and used dat information to create purchasing forecasts.
  • Created performance reports and ad-hoc analysis, to assist sales and management team in evaluating progress.
  • Managed all monthly, quarterly, and annual division financial results analysis.
  • Compiled data to generate financial statements including cash flow, P&L, and balance sheet for review by management.
  • Analyzed financial activities using excel (Vlookup, Pivot Tables, Formulas, etc) for monthly close process, balance sheet account valuations. reconciliations, expense budgeting, forecasting, and expense allocations to product lines.

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