Product Data Analyst Resume Samples

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SS
S Schuster
Samir
Schuster
994 Dane Flat
Detroit
MI
+1 (555) 629 9012
994 Dane Flat
Detroit
MI
Phone
p +1 (555) 629 9012
Experience Experience
Dallas, TX
Product Data Analyst
Dallas, TX
Gottlieb, Kunze and Bins
Dallas, TX
Product Data Analyst
  • Obtain current manufacturer service and parts manuals and parts diagrams for all model related to specific manufacturers
  • Create/update interactive parts diagrams for each parts diagram provided by the manufacturer
  • Analyze data on a daily basis in regards to product description, image, price, and product replacement or obsolescence
  • Maintain a relationship with manufacturers to ensure price lists are current in our system
  • Utilize numerous e-commerce tools such as Google Analytics, Easy Ask, etc
  • Work with photographers to obtain photos for all in stock parts
  • Strong knowledge of Access and Excel
Philadelphia, PA
BSO Product Data Analyst
Philadelphia, PA
Bosco-Kreiger
Philadelphia, PA
BSO Product Data Analyst
  • Affinity to work in-depth with data and data structures
  • Knowledge in Print Publishing Tools (Hybris Print Cockpit, InDesign…)
  • Maintaining Content in GPIM
  • Attribut Setting up in GPIM
  • Price List Catalog creation
  • Supporting WE DPH with data preparation in GPIM
  • Configuration of Layout Templates
present
Philadelphia, PA
Senior Product Data Analyst
Philadelphia, PA
Mayert, Ryan and Roob
present
Philadelphia, PA
Senior Product Data Analyst
present
  • Partner with product managers, business insight analysts and data analysts on RESL analytics initiatives
  • Collaborates with technical team for system improvements
  • Contribute on the presentation of insights back to product leaders / business partners to drive strategic improvement
  • Perform analysis, translating data into information and answering urgent business questions
  • Good exposure to working on Tools and applications like Enovia, PLM, ERP systems
  • Develop measures of Product data quality, maintain metrics, and publish to stakeholders. Publish reports
  • Work with source system owners and technical team to extract product data for consumption
Education Education
Bachelor’s Degree in Precision
Bachelor’s Degree in Precision
New York University
Bachelor’s Degree in Precision
Skills Skills
  • B-Tech./ Diploma Mechanical engineering with 2-4 Years of experience in Product data management
  • Good understanding of databases
  • Experience in creating or maintaining process flows
  • Knowledge of various IT systems and processes [product management, manufacturing, marketing and engineering]
  • Experience in Enovia, ERP Systems, Oracle and Microsoft business suite, Document Management, PowerSource
  • Expertise in MS-Office, including Excel, PowerPoint, and Word
  • Database query experience ( SQL) and Macros
  • Good with data analytics and Reporting( Experience of reporting tools)
  • Thorough knowledge of the techniques, methods and data standards employed to represent product information on the SAP product database, Electronic Catalog, and Specification Guides
  • Comprehensive understanding of SAP Variant Configuration methods and techniques as employed at Steelcase, Inc. including the ability to develop rules containing executable code
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15 Product Data Analyst resume templates

1

Product Data Analyst Resume Examples & Samples

  • Obtain current manufacturer service and parts manuals and parts diagrams for all model related to specific manufacturers
  • Analyze collected data and refresh any current information located on our website
  • Create/update interactive parts diagrams for each parts diagram provided by the manufacturer
  • Analyze data on a daily basis in regards to product description, image, price, and product replacement or obsolescence
  • Maintain a relationship with manufacturers to ensure price lists are current in our system
  • Utilize numerous e-commerce tools such as Google Analytics, Easy Ask, etc
  • Work with photographers to obtain photos for all in stock parts
  • Strong knowledge of Access and Excel
  • Basic knowledge of vendor management
  • Experience with e-commerce product data management
2

Product Data Analyst Resume Examples & Samples

  • Minimum of 4 years experience in similar data-centric problem solving roles, ideally with experience in mobile apps or online services
  • Extensive product analytical experience – evaluating, monitoring and improving outcomes
  • Outstanding body of work demonstrating high quality, innovative deliverables
  • Strong self-management skills, able to prioritize tasks and ensure all expectations are met around the company
  • Understanding of key mobile platforms and trends
  • The ability to communicate the results of your analyses in a clear and effective manner, including strong experience presenting and collaborating with cross-functional teams, with executive management, and with partners and other external parties in a professional and polished manner
  • Expertise in Excel and Microsoft Office applications, strong SQL and database skills, experience with Chartio or similar data-visualization tools
  • Advanced experience with SQL
  • Senior experience with Product Analytics
3

Product Data Analyst Resume Examples & Samples

  • Creates, manages and measures data field standards
  • Promptly resolves product information requests
  • Works cross-functionally to understand data needs (both internally and externally)
  • Manages/facilitates changes to data fields
  • Assists in finding, prioritizing and fixing data issues
  • Proactively seeks and recommends improvements to processes related to data integrity and reporting
  • Manipulates large quantities of data
  • Maintains proactive & open communication with cross-functional departments
4

BSO Product Data Analyst Resume Examples & Samples

  • Price List Catalog creation
  • Attribut Setting up in GPIM
  • Maintaining Content in GPIM
  • Harmonized and standardized print templates
  • Load Images
  • Setup DP´s / Bases and Product Groups
  • Configuration of Layout Templates
  • Supporting WE DPH with data preparation in GPIM
5

Senior Product Data Analyst Resume Examples & Samples

  • List the essential functions (i.e. key responsibilities with expected results) which must be accomplished in order to fulfill the purpose of your position as described above
  • Responsible for managing a team of 3-4 members
  • Responsible for coordinating and completing the part conversion in system
  • Update Customer part number to Eaton part number correlations in system
  • Collaborates with technical team for system improvements
  • Good exposure to working on Tools and applications like Enovia, PLM, ERP systems
  • Coaching and Training
  • Flexible attitude to work with the willingness to learn new skills when required
  • B-Tech./ Diploma Mechanical engineering with 2-4 Years of experience in Product data management
  • Good understanding of databases
  • Experience in creating or maintaining process flows
  • Knowledge of various IT systems and processes [product management, manufacturing, marketing and engineering]
  • Describe all other aspects of your position that you feel are important and which have not been adequately covered (i.e. unique problems encountered, special freedom to take action, critical outside contacts, exceptional working conditions etc.)
  • Important competencies are: Decision Quality, Managing and Measuring Work, Team development, Problem Solving, Flexibility in approach
  • Building a team and developing team through coaching for achieving goals is a key aspect of the Job
6

Product Data Analyst Resume Examples & Samples

  • Responsibility for verification of inventory, Price, Customer Approval, orders accuracy through confirmations from various other functions
  • Assigning appropriate price in the system
  • Experience related to demand planning
  • Develop measures of Product data quality, maintain metrics, and publish to stakeholders. Publish reports
  • Ability to present details of complex data quality or workflow issues for internal review
  • Work with source system owners and technical team to extract product data for consumption
  • Identify issues that hinder the part conversions
  • Knowledge of Product data processing at an administrator level would be preferred but is not required
  • Experience in Enovia, ERP Systems, Oracle and Microsoft business suite, Document Management, PowerSource
  • Database query experience ( SQL) and Macros
  • Good with data analytics and Reporting( Experience of reporting tools)
7

Senior Product Data Analyst Resume Examples & Samples

  • Partner with product managers, business insight analysts and data analysts on RESL analytics initiatives
  • Serve as an expert on RESL data and provide coding expertise and best practices to place context around data discovery linked to key analytics projects
  • Provide a broad range of data analysis and assess data requirements for analytical and product projects
  • Elicit, analyze and understand business and data requirements to develop complete business solutions including complex data pulls for opportunity sizing and project support
  • Provide a broad range of data analysis and assess data management requirements
  • Build understanding of big data capabilities within Personal Banking – leveraging enterprise Centre of Excellence and determine how to apply to RESL and Personal Banking
  • Lead data contributor on large analytics business projects to identify opportunities to further optimize our current product suite through self-initiated insights
  • Contribute on the presentation of insights back to product leaders / business partners to drive strategic improvement
  • Identify and test new data sources
  • Leverage various data systems and sources to ensure team is equipped to formulate well defined solutions to solve business problems
  • Collaborate with business partners and various stakeholders to elicit data requirement and articulate those requirements in a manner that can be easily understood by team members
  • Proven analytical thinker with track record of delivering business impact and meaningful insights through complex data solutions
  • Strong Problem solving skills, with ability to use data to understand what is happening and why
  • Understanding of data privacy, security and data governance
  • Understanding and expertise with Data warehouse technologies including Database Management Systems, Business Intelligence (BI) Tools and ETLs
  • Demonstrated experience with SQL, SAS, Data Warehouses and other BI tools
  • Experience implementing a variety of information systems and data files, including large and complex files from various types and sources of financial institution information
  • Strong knowledge and experience of analytical tools such as SAS, SQL, and MS Office applications such as Access, Excel and Power Point considered an asset. Working knowledge of Python, Java, R, and Hadoop a bonus
8

Junior Product Data Analyst Resume Examples & Samples

  • Responsible for data extraction
  • Responsible for data modelling, specific to a Complexity Reduction initiative
  • Working with analytical products, to produce data driven insights / analysis that will support the deliverables of Complexity Reduction and provide the understanding of wider cross-functional business impact, with element of predictive trend analysis
  • Working with analytical products, to produce data driven analysis to address and reduce the level of data proliferation
  • Supporting monitoring level of data proliferation within EH&S module and working with Global Product Data Analyst to ensure that any necessary remedial plans are developed, including the recommendation for change and support
  • Supporting monitoring of all data reconciliation and providing visibility of ‘compliance tracking&#8217
  • Delivering analytical presentation to key stakeholders, and optimising data visualisation aspects
  • Educate to degree of mathematics, statistics or computer related discipline (e.g. computer science)
  • Proven knowledge of SQL
  • Experience in extraction and manipulation of data
  • Understanding of data management (data quality, cleansing, harmonisation & standardisation)
  • Understanding of product data structure and its connectivity through entire organisation
  • A natural ability to work with numbers, and a highly analytical approach to problem solving
  • A high level of creativity, drive, innovation and initiative, a self-starter and constant desire to learn
  • Ability to work quickly, rigour & attention to detail
  • Good communication
  • Strong analysis skills and ability to transform data into information
  • R / Python
  • SAP ECC
9

Global Product Data Analyst Resume Examples & Samples

  • Responsible for defining global ‘Ways of Working’ including templates, criteria and metrics to limit unnecessary data proliferation
  • Responsible for identifying data standardisation opportunities within the product data structure, our products and materials portfolio
  • Reviewing & challenging status ‘quo’, by responding to a new business requirements & the need to simplify product portfolio where non-consumer relevant
  • Providing detailed level of analysis of identified simplification opportunities, highlighting potential areas of impact, risk and business benefits
  • Responsible for defining the scope and plan, and coordinating its implementation
  • Responsible for continuous monitoring of the level of data proliferation within EH&S module (in SAP) and working with relevant global and regional teams to ensure that any necessary remedial plans are developed with the regions, including the recommendation for change and support
  • Monitoring all data reconciliation, provide visibility of ‘compliance tracking’, and ensure issues are reported, escalated and resolved
  • Responsible for validating, that processes, governance, controls and training materials, to reduce the level of data proliferation, are documented appropriately and complete
  • Driving the change through the business and established processes / systems e.g. CReW2
  • Backup to the Global Product Complexity Reduction Manager, in all instances including hosting management review meetings
  • Good understanding of SAP (EH&S module) product data structure and its interdependencies: detailed Wrapping Materials knowledge, as well as good understanding of Semi-Finished Goods and Finished Goods products & data structure
  • Quality and process oriented
  • Good communication / leadership / team-working skills
  • Able to influence across the organisation regardless of geography, grade or function
  • Acknowledged and proven leadership skills
  • Strong drive for results and task focused with excellent analytical skills, rigour, attention to detail
  • Experienced in working to strict deadlines
  • Excellent skills for prioritising multiple tasks (Project management experience)
  • Excellent Excel knowledge and analysing / structuring data and ability to transform data into information
  • Excellent PowerPoint knowledge and presentation skills
10

Global Product Data Analyst Resume Examples & Samples

  • Act and behave according to Shell Global Business Principles, Code of Conduct, HSSE standards and rules
  • Execute product, formulation and component data analysis with regular feedback on progress and issues
  • Identify opportunities to continually improve the data quality through analysis, definition and implementation of Data Quality Standards
  • Complete monthly reporting schedule to meet stakeholder requirements
  • Maintain the infrastructure of supporting information for the team across parallel systems, databases and shared drives
  • Prepare data for bulk changes
  • Support system changes, such as upgrades, database transitions and improvements, working with the relevant business and IT teams to support delivery and managing the testing program accordingly
  • Ensure all documentation and rule sets related to reporting tools are kept up to date
  • Lead new data tool implementation globally
  • Use tools to ensure compliance between systems
  • Be focal point for all GSAP related issues and requests within the team and wider community
11

Associate Product Data Analyst Resume Examples & Samples

  • Write and edit a heavy volume of product information such as product descriptions, product attributes and unstructured content
  • Ability to find inconsistencies in product information and working through the enterprise governance processes for standardization
  • Responsible for providing tactical assistance to Product life cycle management in enterprise/business systems and services
  • Ensure accuracy, completeness and health requirements for product data globally
  • Responsibility for collecting, organizing, creating, documenting, and entering detailed attribute information
  • Work with Product Data Hub tools to build a centralized product database for Electrical Product lines
  • Experience in Product lifecycle Management, product development and management exposure
  • Collaborates with technical team for system improvements and testing of Integration mappings between different applications and PDH
  • Works with different source systems (Product drawings, ERPs, etc.) to source product attributes and specifications
  • Flexible attitude to work with and the willingness to learn new skills when required
  • Any graduate/post graduate with 1-2 years of experience in data analysis
  • Good written communications skills and messaging
  • Expertise in MS-Office, including Excel, PowerPoint, and Word
  • Knowledge of various systems and processes [product management, manufacturing, marketing and engineering]
  • ADDITIONAL INFORMATION
  • Must be innovative, creative and collaborative
  • Must be a strong communicator
  • Must be a self-starter with energy and enthusiasm towards a matrix team environment
  • Important competencies are: Decision Quality, Managing and Measuring Work, Problem Solving, Flexibility in approach
  • Computer-systems proficiency required especially Microsoft Office and specifically Excel. Flexibility to learn and adapt to the needs of multiple systems
  • Interest and flexibility to learn in functional area
12

Product Data Analyst Resume Examples & Samples

  • Collect, filter and cleanse log files with a high degree of precision and accuracy
  • Acquire data from primary or secondary data sources and maintain and manage databases/data files, as needed
  • Interpret PTC system data, analyze results using statistical techniques and provide ongoing reports
  • Identify and interpret trends or patterns of system behavior and provide recommendations for areas of improvement
  • Prepare presentations that reflect the results of the data analysis
  • Work with management, systems and software engineers, and the customer to prioritize business and information needs
  • Engage with engineering personnel and read available material to become familiar with Positive Train Control systems and products
  • Bachelor’s degree in Management Information Systems, Engineering or Statistics preferred. Non-degreed candidates with Military experience or advanced Military and industrial experience will be considered
  • Minimum of two (2) years’ experience as a data analyst or business data analyst
  • Strong critical thinking and analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  • Adept at queries, report writing and presenting findings using a diverse set of tools (SQL, XML, Excel, etc.)
  • Effective oral and written communication skills; ability to articulate clearly and concisely, tailored to audience
  • Ability to develop high level of credibility and strong positive relationships with customers and peer
13

Product Data Analyst Resume Examples & Samples

  • Ability to analyze, conceptualize, and logically organize database information with a high degree of precision and accuracy
  • Thorough knowledge of the techniques, methods and data standards employed to represent product information on the SAP product database, Electronic Catalog, and Specification Guides
  • Comprehensive understanding of SAP Variant Configuration methods and techniques as employed at Steelcase, Inc. including the ability to develop rules containing executable code
  • Thorough understanding of the Product Development Process, the departments involved and the associated information flow
  • Proficiency in the use of SAP, Excel, Access, and various Mass Loading Tools for Data Loading
  • Excellent problem solving skills and techniques
  • Ability to communicate with a wide variety of internal and external groups, including management
  • Proficiency in the use of Steelcase applications, Microsoft Office, including Microsoft Access
  • Four-year degree in a related field preferred
14

Digital Product Data Analyst Resume Examples & Samples

  • Responsible for formulating business problems and obtaining solutions in a quantitative/econometric framework
  • Work with digital product management team to design & deliver proper measurement strategy for our digital products and consultant experiences
  • Identify gaps in data capture/integrity & partner with technology teams to collaboratively implement enhancements
  • Partner with digital peers to develop annual, scientific-based channel/product KPIs. Monitor daily/monthly, creating regular optimization plans to maximize ROI
  • Manipulate and mine data across digital properties and from various sources to discover insights
  • Perform practical, action-oriented and comprehensive data analysis from multiple data sources to aid in the development of digital marketing strategies
  • Analyze, interpret and make recommendations against campaign and product metrics to drive growth
  • Create & publish monthly performance dashboard & quarterly trend reports to senior management & internal stakeholders
15

Product Data Analyst Resume Examples & Samples

  • Associates Degree or higher degree preferred, but not required
  • 0 to 3 years work experience in related field
  • Demonstrated ability to build relationships, both internally and externally with suppliers
  • Excellent written, communication and analytical skills
  • Resourcefulness and creative problem solving skills
16

Product Data Analyst Resume Examples & Samples

  • Mine product data and deliver analytics to gain an insight around the existing product landscape within AmTrust and the key value drivers within over and underperforming products
  • Design, develop and deploy analytical descriptive/predictive models to inform product management and other strategic decisions, using a combination of statistical techniques
  • Perform exploratory analysis to identify opportunities to improve our product and make it more engaging for our users
  • Support large-scale A/B testing and/or multivariate testing to provide in-depth insights on how we can improve the AmTrust user experience
  • Partner closely with the Product Team to build data-driven solutions and KPIs
  • Develop dashboards, visualizations and granular datasets that provide actionable insights on product interactions and user engagement
  • Manage, architect and analyze big data to build relevant data models and extract insights
  • Partner with Product, Sales and Marketing to understand sectors and identify data sources and approaches to address them
  • Combine data from disparate sources, test hypotheses and translate analytics into research findings
  • Use visualization techniques and tools to explore the data and communicate insights to a multi-disciplinary audience
  • Build solutions that allow for data and analytics re-use across projects
  • Insatiable curiosity and self-starter mentality with the ability to deliver results and to thrive in a startup environment. Strong communication skills and the ability to be self-directed when necessary
  • 3+ years of professional experience in applying advanced data mining and machine learning techniques to solve business problems and/or influence critical decisions
  • Analytically minded, resourceful and a structured problem solver and know how to evaluate data with a thoughtful and critical eye
  • Experience with analytics across mobile and web platforms
  • Doing analysis with a fee based and/ or an insurance business model
  • Proactive communication with the ability to translate data analytics into business speak
  • Strong knowledge of relevant technology toolsets for data analysis and documentation including SQL, data modeling, metadata organization, data cleansing, and reporting tools such as business objects, or other data reporting/data mining tools
  • Bachelor’s Degree or higher with a quantitative or computational focus: Economics, Computer Science, Statistics, Math, Physics, Engineering or similar
17

Product Data Analyst Resume Examples & Samples

  • Ability to analyze, conceptualize, and logically organize information with a high degree of precision and accuracy
  • Comprehension and knowledge of the business processes and systems which interact and utilize product information (Order Entry, Pricing, PIC, Manufacturing Operations, Distribution etc.)
  • Understanding of the Product Development Process, the departments involved and the associated information flow
  • Proficiency in the use of Microsoft Office, SAP, Excel
  • Bachelor’s Degree in a related field preferred
  • 3-5 years of understanding within the contract furniture industry
18

Product Data Analyst Resume Examples & Samples

  • Maintain part and pricing within the ERP system for assigned publishers using provided toolsets
  • Create rule logic within the EC application that converts a publisher pricefile info into ERP data upload format
  • Ongoing analysis of systems functionality and provide required enhancements to the IT team
  • Research and provide part and pricing information as requested by the inside sales team
  • Create adhoc part setups as needed for sales within our SAP system
  • Communicate with vendors to provide required data needed to load our SAP systems
  • Report data integrity issues/vendor requirements to team manager
  • Achieve a cross-functional understanding of roles within software operations to provide superior customer service
  • Ability to analyze and manipulate datasets
  • SQL or equivalent DB tool knowledge
  • Understand the data concept of 'If - Then' to write logical code using an in-house application that translates data from a given format into a specific format required by SAP
  • Demonstrated analytical and problem-solving capabilities
  • Ability to work independently with little direction
  • SAP MM experience a plus
19

Product Data Analyst / Specialist Resume Examples & Samples

  • Manage technical aspects of key systems e.g. Hybris (Product Store), PIM (Product Information Management)
  • Identify, gather and enter product data from various sources
  • Make recommendations on areas for optimization. Your insights will be used to support strategic decisions by different stakeholders across the company
  • Development, management and optimization of databases on our products
  • Document and present test results, analysis and recommendations on a regular basis
  • Create and maintain reports to monitor the effectiveness and business impact of our operations
  • B.Sc. / M.Sc. degree in Statistics, Computer Science or relevant discipline
  • Previous experience in PIM, product data management and / or DAM (Digital Assents Management)
  • Experience in SAP is a strong advantage
  • Experience in coordinating with various stakeholders in a matrix organization
  • Experience with data analysis and master data management / governance
  • Experience in working effectively in a cross-functional team environment
  • Knowledge of SQL, MySQL, BI and Google Analytics
  • Fluent communication, presentation in both written and spoken English
  • Technically capable and process oriented
  • Ability to extract meaning and suggest action items from data
  • Effective in setting tasks and meeting deadlines and goals
  • Proactive, driven and resilient
  • Analytical and problem solving skills combined with business knowledge
  • Global mindset and positive outlook
  • At ease communicating with a wide range of stakeholders globally
  • Highly organized and highly attentive to detail and accuracy
20

Product Data Analyst Resume Examples & Samples

  • 30% Designs, modifies and maintains systems and procedures to implement, monitor, and report on marketing, sales programs, and business performance for entire Dental Marketing team
  • 20% Creates pricing plans and reporting for team along with maintaining territory/account structures associated. Calculates all results on specific compensation incentives as well
  • 20% Analyzes information using SQL, Access, Excel, and statistical software including statistical testing, geocoding/geo analytics and multivariate modeling
  • 15% Independently identifies and/or models opportunities to increase revenues and decrease costs. Works with Zahn Executives, Marketing , and Sales teams (although Operations and Finance are also often involved) to increase business efficiencies
  • 10% Develops and presents findings/recommendations based on analyses in a clear and concise manner to executive leadership team
  • 5% Participates in special projects and performs other duties as required
21

Senior Product Data Analyst Resume Examples & Samples

  • Thorough knowledge of the techniques, methods and data standards employed to represent product information on the SAP product databases, Electronic Catalog, and Specification Guides
  • Comprehensive understanding of SAP Variant Configuration methods and techniques as employed at Steelcase, Inc. including the ability to validate rules containing executable code
  • Thorough comprehension and knowledge of the business processes and systems which interact and utilize product information (Order Entry, Pricing, PIC, Manufacturing Operations, Distribution etc.)
  • Proficiency in the use of Microsoft Office, SAP, Excel, Access and various Mass Loading Tools for Data Loading
  • The ability to read and understand various technical documentation (such as Statement Of Line, Engineering documents) and to make recommendations of their application as it relates to data and processes
  • Ability to create functional specifications and rules containing executable code for Information Technology for the development of electronic tools and procedures for loading product data
  • Understanding of multiple scripting languages to help develop solutions for automation and reporting
  • Strong written, oral, and interpersonal communications skills to all levels of the organization
  • Strong understanding of financial concepts and SOX compliance requirements
  • Business analysis experience in data, software, or other business applications preferable
  • 3-5 years’ experience preferred
  • Working knowledge of SAP preferred
  • Understanding on SOX Compliance