Analytics Product Manager Resume Samples

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ER
E Robel
Eldred
Robel
8694 Vincenza Street
Chicago
IL
8694 Vincenza Street
Chicago
IL
Experience Experience
02/2014 – present
Boston, MA
Senior Analytics Product Manager
Senior Analytics Product Manager
02/2014 – present
Boston, MA
Senior Analytics Product Manager
02/2014 – present
  • Set project priorities and working through team leaders advance projects from development through implementation, including manpower/work plans, reporting, and quality standards
  • Educating customers on how to leverage Huntington's technology to assist them with their transactions
  • Manage SiteCatalyst implementations across multiple platforms
  • Welcoming customers to Huntington and establishing professional relationships with them
  • Define and deploy product vision for Analytics by working closely with the sales and marketing team to oversee that product capabilities are accurately represented and growth opportunities are identified
  • Develop and maintain Cray’s machine learning strategy and business by developing our business models, defining our product objectives, and managing our business. Evangelize use of Machine Learning and Deep Learning within Cray and to the broader community
  • After receiving training, you will be expected to demonstrate an acumen for banking, transaction process, cash handling, customer service, operations, systems technology and communication while maintaining up to date knowledge on all products, services, technology and policies
05/2010 – 01/2014
Houston, TX
Business Intelligence & Analytics Product Manager
Business Intelligence & Analytics Product Manager
05/2010 – 01/2014
Houston, TX
Business Intelligence & Analytics Product Manager
05/2010 – 01/2014
  • Geospatial analysis – Perform geography-specific analysis on network construction costs, competitor landscape, and product offering in support of pricing. Use software tools to combine data and knowledge from independent systems to create a holistic view of a market to support decision making. Communicate findings and recommendations along with the methodology used to drive to conclusions
  • Communicate data using innovative methods – Develop new methods for conveying and displaying information for decision makers. Create tools that empower front line operators as well as senior executives to make sound decisions by making massive internal and external data simple, accessible and engaging
  • Partnering with business units, product owners, data scientists and development teams to translate potential data-driven ideas into fully developed product solutions
  • Partner with subject matter experts – Forge relationships across all lines of business and operations with the goal of building and validating a comprehensive data set from internal systems that will support financial modeling. Lead discussions about business cases that are developed by the BI team and how they impact other lines of business
  • Detailed financial and operational analysis – Develop, maintain and update comprehensive pro forma financial models and valuation analysis in support of network rollout planning and strategic business cases. Clearly present findings and impacts in order to drive decision making
  • Create tracking frameworks – Define key KPI’s and architect dashboard reporting for working team, executive and senior executive use on an ongoing basis
  • Analyze and monitor key performance metrics and recommend product enhancements
01/2007 – 11/2009
Los Angeles, CA
Analytics Product Manager
Analytics Product Manager
01/2007 – 11/2009
Los Angeles, CA
Analytics Product Manager
01/2007 – 11/2009
  • Develop and optimize product management processes and provide product management leadership and training
  • Leverage analytics capabilities, domain expertise and technical expertise across teams to execute across the full product development lifecycle
  • Build plans to solve those problems with other product managers, engineering managers, and business leaders
  • Owns development, quality and ongoing management of product support materials – e.g. technical "howto's",digital properties, marketing content, etc
  • You will make smart trade-offs based on business value and investment cost, while helping your team understand priorities and status
  • Drive product development with a team of world-class scientists, engineers and designers
  • Proven leadership and management capabilities
Education Education
Bachelor’s Degree in Computer Science
San Diego State University
Bachelor’s Degree in Computer Science
Skills Skills
  • Strong relationship building, influencing, communication & facilitation skills during times of uncertainty, rapid change, aggressive timelines, conflicts, & budget constraints
  • Active interest in the insurance industry landscape (Who are the big carriers? What are the up and coming startups? What sort of businesses are reinsurers, carriers, MGAs, and brokers? What are the product offerings in commercial, consumer and life insurance?)
  • UX, UI design (through wire frames and mock ups), and rapid prototyping
  • Experience in sales and product marketing
  • We invest heavily in training you in all aspects of analytics as well as in leading analytical tools and techniques
  • A talented and experienced pool of mentors and advisors
  • You will define projects and road maps that will drive the organization towards faster and smarter decision-making using data
  • You will seek out and innovate new data sources, both internal and external, integrating them into our business
  • You will craft processes to ensure that our data is accurate, well structured, and accessible
  • You will collaborate with engineering to define strategy and architecture for our data capture and reporting platforms
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1

Portfolio & Risk Analytics Product Manager Multi Manager Product Resume Examples & Samples

  • Leverage strong domain knowledge along with input from market participants to assemble a coherent view of market opportunities
  • Prioritize product development ideas, and create a product development plan
  • Write product specifications and partner with R&D to ensure deliverables are well understood, and development plans align with the overall business objectives
  • Regularly report on the competitive environment and relevant customer's internal development projects
  • Educate Marketing and Sales groups on product positioning, target market, and presenting differentiated features to customers
  • Support Sales and Account Managers in strategic sales and related client education
  • Seek out third-parties to develop meaningful partnership agreements
  • 10+ years relevant experience working at a consultancy firm, software vendor, or service partner, supporting the needs of manager of managers, or as a researcher at a multi-manager
  • Strong familiarity with software solutions used by multi-managers
  • Strong knowledge of financial markets, portfolio performance & risk analytics
  • High degree of familiarity with fund, separate account, and alternative investment markets
  • Solid understanding of the data management process required to manage multi-manager needs
  • Proven ability to communicate effectively with sales & technology teams as well as client side CRO/CIO & portfolio managers
  • Bachelor's degree (Advanced Degree and/or CFA, FRM, or PRM designation a plus)
  • Extensive project and business management experience
  • Excellent organizational, and presentation skills
  • Bloomberg terminal experience a plus
  • Successful candidate must be willing to travel
2

Analytics Product Manager Resume Examples & Samples

  • Proven leadership and management capabilities
  • Significant understanding of the Internet of Things and enterprise solution adoption
  • Product marketing experience with proven execution to adoption and revenue goals
  • Strong communication skills with proven ability to work across and achieve results in a cross-functional organization
  • Candidates should have at least five years of experience in a product marketing or business development role including significant customer facing experience
  • A Master's in Business Administration and a Bachelor's Degree in Engineering or Computer Science is preferred
  • Travel will be required
3

Analytics Product Manager Resume Examples & Samples

  • Strong understanding of Analytics
  • Product Management: Proven track record of ability to execute an offering from incubation to delivery
  • Understanding of the Common Analytics Architecture tools: Big Data, Common Data Virtualization Techniques, Hadoop, Scoop, Hive, R, MapR, SAS, tool integration techniques & BI Dashboard Rendering
  • Ability to take abstract technical & business concepts and drive them to specific requirements
  • Execution focused, able to perform all tasks required to complete the job and meet deadlines, including administrative and documentation oriented tasks
  • Strong relationship building, influencing, communication & facilitation skills during times of uncertainty, rapid change, aggressive timelines, conflicts, & budget constraints
4

Data & Analytics Product Manager Resume Examples & Samples

  • Responsible for definition and delivery of highly complex specific products or product lines based upon BU priority and roadmap
  • Leads highly complex projects during definition, development and delivery
  • Provides subject matter expertise and functional support during all phases of the product life cycle from definition and delivery to market management
  • Utilizes knowledge of technical and business drivers to define quality products that meet the needs of customers while maintaining architectural integrity and low cost
  • Works with Marketing, developers and architects to define new products or enhancements to existing products
  • Works closely with Marketing to define product definition requiring detailed knowledge of products, systems and customer business processes
  • Manages development budget in coordination with Marketing
  • Coordinates delivery of functional requirements, user/training documentation and customer support plans
  • Works with Quality Assurance and Testing to ensure products meet market requirements
  • Conducts product demonstrations for internal and external customers
  • Supports customer questions, beta and usability testing
  • Develops product implementation and customer support plans consistent with Product Marketing launch
  • Experience in data and analytic products, techniques, and technologies and travel industry
  • Excellent written and verbal communication skills; ability to lead and direct multiple projects simultaneously; ability to delegate work to subordinate or less experienced team members; proven leadership ability
5

Data Visualization & Analytics Product Manager Resume Examples & Samples

  • Actively participate in the creative design of new product offerings and features based on current healthcare related trends, business needs or client requests
  • Assist in review of release notes and documentation and collaborate with Content Team as necessary for content development
  • Perform demonstrations of product features and workflow as needed
  • Maintain knowledge of industry trends in data display, visualization, advanced analytic and reporting
  • Explain desired features and functionality to Business Analysts, Developers and Software Architects in order to facilitate development and troubleshoot software
  • Work collaboratively with partner vendors to integrate multiple software solutions into one client experience
  • Interpret regulatory and vendor specifications and define product requirements that deliver solutions to clients that maintain compliance and compatibility
  • Minimum of 3 years experience in a healthcare data management
  • Firm understanding with statistical process control charting concepts is required
  • Minimum of 1 year experience in areas of data display, visualization, advanced analytics and reporting
  • Midas Care Management and Statit piMD experience preferred
  • Master’s degree in healthcare informatics preferred
  • Travel up to 25-50%
  • Leadership and time management skills
  • Understanding of data integration principals using various formats such as HL7 and CDA
  • Knowledgeable about web-based application development processes, including experience with Agile
  • Familiar with governmental requires related to healthcare quality reporting
6

Data Visualization & Analytics Product Manager Resume Examples & Samples

  • Provide education and consultation to clients as well as internal colleagues and training of staff to operationalize the solution. Assist in review of release notes and documentation and collaborate with Content Team as necessary for content development
  • Perform demonstrations of product features and workflow as needed. Maintain knowledge of industry trends in data display, visualization, advanced analytic and reporting. Understand client uses of the Midas solutions. Identify best practice system usage and maintain a client reference site listing
  • Explain desired features and functionality to Business Analysts, Developers and Software Architects in order to facilitate development and troubleshoot software. Work collaboratively with partner vendors to integrate multiple software solutions into one client experience. Interpret regulatory and vendor specifications and define product requirements that deliver solutions to clients that maintain compliance and compatibility
7

Analytics Product Manager Resume Examples & Samples

  • At the minimum must have a Bachelor’s Degree; preferred within a quantitative discipline
  • 3+ years of experience within product management
  • 3+ years of web analytics experience (Omniture, Google Analytics, etc.)
  • Experience writing SQL queries
  • Experience with front end BI tools is a huge plus (Tableau, QlikView, Spotfire, MicroStrategy, etc.)
8

Senior Analytics Product Manager Resume Examples & Samples

  • Manage SiteCatalyst implementations across multiple platforms
  • Work with business partners & analytics reporting teams to gather requirements and translate them into technical requirements
  • Partner with our IT and QA teams to ensure that analytics tagging is implemented correctly
  • Maintain data quality and ensure best in class analytics implementation
  • Assist in planning the analytics roadmap
  • Stay up to date on trends and best practices in web analytics and e-commerce
  • Write bugs/stories in JIRA
  • Mentor associate product managers
  • 5+ years leading SiteCatalyst implementations on multiple platforms
  • Experience with tag management tools
  • Experience as a web analyst
  • Experience with JIRA, Charles/firebug/fiddler/etc
  • Exposure to scripting languages
  • Experience with QA’ing Sitecatalyst tagging
  • Expertise in Excel, SQL, Data warehouse skills & other BI tools
  • Strong business acumen, excellent interpersonal abilities
  • Ability to prioritize and work in a very fast-paced environment
  • Ability to work collaboratively with cross functional teams
  • Exceptional attention to detail and excellent written and oral communication skills
9

Analytics Product Manager Resume Examples & Samples

  • Manage 3-5 analytics products/solutions concurrently with accountability for successful delivery
  • Work with industry teams who have identified market opportunities to develop product and feature business cases, use cases, and requirements
  • Responsible for defining and managing requirements and roadmap for products
  • Proactively drive investments and work effort to balance value, alignment to strategy, customer needs, and long term differentiation
  • Develop strong working relationships and influence across multiple levels, to enable resource allocation and cooperation needed for successful development and commercialization, removing roadblocks
  • Proactively analyze market opportunities, trends, competitive positioning, industry forecasts, and business implications to influence product/solution roadmap
  • Leverage analytics capabilities, domain expertise and technical expertise across teams to execute across the full product development lifecycle
  • Drive go-to-market planning and product launch plans in collaboration with business units
  • Owns development, quality and ongoing management of product support materials – e.g. technical "howto's",digital properties, marketing content, etc
  • Develop and optimize product management processes and provide product management leadership and training
  • Four year Bachelor's degree
  • 5+ years analytics or digital software product management experience
  • Knowledgeable in Analytics, data connectivity and data access, database management systems, Big Data, SaaS, etc
  • Expertise in defining and building out product roadmaps and business models
  • Understanding of financial modeling, forecasting and tracking as it relates to product delivery
  • Agile Program/project management experience
  • Outstanding written and oral communication skills - ability to adapt communications effectively to technical and non-technical audiences
10

Analytics Product Manager Resume Examples & Samples

  • Understand and articulate common, foundational customer problems
  • Build plans to solve those problems with other product managers, engineering managers, and business leaders
  • Prioritize and actively remove projects and customer requests to focus on the most lucrative opportunities
  • Identify opportunities to leverage statistics and data science to more efficiently solve customer problems
  • Manage and refine software development and release plans, and help enable the organization to sell and support released features
  • Work with partners to drive requirements and go to market plans to drive adoption of joint solutions
11

Predictive Analytics Product Manager Resume Examples & Samples

  • Detail orientation and a demonstrated passion for getting things (products!) done
  • 3+ years experience defining or running big data solutions and architectures, preferably in a technical product management role
  • Good quantitative analysis skills and understanding of Big Data concepts and technologies like Hadoop, Spark, etc
  • Understanding of Artificial Intelligence, Machine Learning, Predictive Analysis concepts
  • Experience working with Cloud products
  • Experience working with enterprise applications and HR systems a plus
12

Analytics Product Manager Resume Examples & Samples

  • Identify data and analytical monetization opportunities by working with the Honeywell business teams
  • Develop relationships with the Performance Materials and Technologies business team members by being proactive, displaying a thorough understanding of the business processes and by recommending innovative solutions
  • Work with data scientists to provide data modeling, mining, pattern analysis, data visualization and machine learning solutions to address customer needs
  • Work with solution architects to create detail requirements and the development and assurance teams to deliver on the client delivery solution
  • Communicate project output in terms of customer value, business objectives, and product opportunity
  • Attend industry conferences to stay current on industry trends, challenges, and potential market opportunities
  • Promote data science methods and processes across functions
  • Work with our businesses and infrastructure teams to develop a strategy that will clearly outline how our enterprise platforms can enable business growth & productivity by seamlessly combining structured and unstructured data into a single, self-service analytical environment
  • Master’s degree in Computer Science, Engineering, Applied Mathematics, or a related field AND 5 years’ of experience in product development from market strategy to product launch
  • 5 – 10 years or experience in ideation to market launch of SaaS or data and analytics products
  • Deep knowledge of industrial markets preferred
  • 2 years’ experience bringing prototypes to production on Hadoop and/or NoSQL platforms
  • 2 years’ experience with visualization software (Tableau, Spotfire, Qlikview, d3.js)
  • Results driven with a positive can do attitude
  • Ability to work collaboratively with development/implementation staff through the design and build of new business processes and systems
  • Background that includes both business and change management experience
  • In depth understanding of best-in-class model and data configuration and development processes
  • Understanding of data science trends and future state technologies
  • Ability to travel – up to 25%. Higher percentage (up to 50%) preferred but not required
13

Analytics Product Manager Resume Examples & Samples

  • Establish a shared vision for business and customer experience KPIs and metrics across the company by building consensus
  • Deliver and effectively communicate product/feature successes and failures with actionable insights
  • Integrate analytics, product capabilities and market analysis into recommendations for improving user engagement and sales
  • Lead the ideation, technical development, and launch of innovative data and self-service data products
  • Build agile user stories and product requirements to facilitate product delivery and upkeep
  • Understand Kohl’s strategic and competitive position to deliver market leading products and the data insights that showcase successes
  • BS in a technical field or statistics, MS/PhD a plus
  • 4+ years of relevant experience with 2 years in analytics and data insights
  • Experience in e-commerce, retail, SEM and online advertising systems
  • A track record of end-to-end ownership - requirements gathering, scheduling, execution and timely delivery
14

Digital Analytics Product Manager Resume Examples & Samples

  • Be main product owner for the key platforms in the Deckers Digital Analytics Stack (Adobe Analytics, Google Analytics, Monetate)
  • Manage integration and enhancement of Deckers digital analytics stack globally across all brands and regions
  • Responsible for leading an agile process to continually deliver improvements, enhancements and deeper usage of the digital analytics stack
  • Responsible for day-to-day management of the vendors providing the platforms
  • Key driver of usage and best practices on the digital analytics stack
  • 3-5 years of deep experience managing an implementation of Adobe Analytics
  • 3-5 years of experience driving usage and enhancements on online analytics platform
  • 1+ years’ experience managing the usage of an MVT platform
15

Data / Analytics Product Manager Resume Examples & Samples

  • Researching, defining and proposing analytics and data model solutions to incorporate into or build on our emerging business’ platform solutions
  • Using analytics expertise and data science knowledge to write use cases and qualify feasibility through data model definition and prototypes
  • Building products from existing ideas, and helping to develop new ideas based on your industry experience
  • Collaborating with cross-functional teams across Allstate Innovation and the broader enterprise to extend existing products and develop new products for the company
  • Working with your product owner, product managers, and software engineering peers to define product release requirements for our new business’ platform data and analytics solutions. You love the challenge of developing a great user experience for your products
  • Serving as the internal and external evangelist for your product offerings
  • Develop new machine learning and data science approaches and models as needed
  • Prototype using different analytics platforms as needed
  • Managing the entire data and analytics product line life cycle from strategic planning to tactical activities and product profit and loss success
  • Feature requirements and tradeoffs using agile development
  • Technology and toolchain decisions
  • Define analytics UI and visualization requirements and specifying analytics use cases and the data sources required
  • Working with business development and go-to-market teams to launch products to consumers, and with all required Allstate departments to execute the launch plan
  • 5+ years of data and analytics product management experience, software product management experience in a leadership position, or other equivalent system engineering or consulting roles in a relevant area of data and analytics
  • An understanding of large scale data analytics, data sciences, data visualization techniques, machine learning approaches, data quality management and data source integration
  • Ability to earn credibility in an array of emerging technology areas (e.g. big data, Internet of Things, digital, cybersecurity, etc.)
  • Proven business judgment, data-driven decision approach, and customer-centric mindset
  • Experience taking a product from conception to launch; ability to effectively lead MVP test and learn processes
  • Ability to lead project teams day-to-day and collaborate productively with a wide range of stakeholders
  • Proven ability to influence through polished, “executive-ready” communication and presentation skills
  • A Bachelor’s degree in math, computer science or a data science degree or demonstrable equivalent work experience is required. Post graduate qualifications in these areas a plus. MBA preferred
  • Product and service design for cloud platforms experience a plus
  • Experience with natural language processing, neural networks, and/or decision modeling a plus
  • Experience with using the Hadoop software stack a plus
  • Opportunity to personally build innovative new products and businesses, with ownership all the way through
  • Leadership of high profile, high priority projects for one of the U.S.’s largest companies and most respected brands
  • Tremendous resourcing and executive-level sponsorship
  • Collegial, team-oriented culture with a healthy work/life balance
16

Senior Analytics Product Manager Resume Examples & Samples

  • Welcoming customers to Huntington and establishing professional relationships with them
  • 1 year experience working with customers
  • A Bachelor's Degree in a business related field is preferred, but not required
  • Cash handling skills preferred but not required
  • Comfort with technology such as mobile services and online banking services, a plus
17

Investor Services Business Data Analytics Product Manager Resume Examples & Samples

  • Responsible for enterprise-wide data business intelligence and analytics strategy. Collaborates with product and O and T to develop the enterprise-wide strategy for business intelligence and analytics, optimizing the company's ability to leverage data to drive business value, growth and efficiencies. Collaborates and influences cross functionally with all lines of business to ensure an aligned data strategy; ensures that all BI projects and activities align with corporate goals and initiatives. Oversee the development, implementation, and maintenance data architecture and associated software
  • Develops the standards and frameworks for data business intelligence and analytics services. Defines the information, reporting, and analytical needs to drive business intelligence objectives. Implements, refines and continually improves processes and services to ensure quality and effective utilization of business intelligence capabilities. Contributes to the consistent application and interpretation of new data and metrics. Monitors and continually improves processes and frameworks to drive optimal outcomes for the organization. Ensure adherence to corporate, government and industry policy and procedures
  • Delivers analytical information and analysis capability to operating divisions. Works closely with all levels of the business to understand the data, resources and training needed. Collaborates with a team of analytical data experts to provide data mining, data analysis and other services to the organization, enabling others to create value and support key business initiatives. Ensures the organization has the necessary data and information for on-going daily operations and strategic planning. Develops and maintains consultative relationships with key business stakeholders, proactively identifying and addressing data analytics needs, as well as potential initiatives that will drive strategy. Fosters strong relationships between shared services analysts and those in the operating divisions. Prioritizes services to ensure delivery of maximum business value
  • Builds and advances related technical and data infrastructure. Leads a team of technical experts to plan, design, manage, maintain and enhance the technical and data infrastructure that enables our business intelligence capabilities. Ensures scalable technical architecture, frameworks and technologies for the enterprise that are capable of meeting current and future needs
  • Develops and conducts statistical data analyses. As a shared services unit, works to develop global business intelligence and analytics solutions beyond the capabilities of the operational divisions. Collaborates with a team of data experts to develop relevant and compelling analyses to uncover business insights and solve problems unknown to the business
18

Senior Analytics Product Manager Resume Examples & Samples

  • Develop and maintain Cray’s machine learning strategy and business by developing our business models, defining our product objectives, and managing our business. Evangelize use of Machine Learning and Deep Learning within Cray and to the broader community
  • Define and deploy product vision for Analytics by working closely with the sales and marketing team to oversee that product capabilities are accurately represented and growth opportunities are identified
  • Provide guidance to clients, partners, and team members for issue resolution within Company and the client organization
  • Partner with Product Marketing and Customer Services teams to measure and oversee customer experience quality throughout the product development lifecycle
  • Work across the entire organization to cultivate and drive the product roadmap
  • Ensure consistent execution of product lifecycle process from concept to launch through management of people and projects
  • Work closely with executive team members and department leaders, manage competitive industry analysis and identify area for differentiation
  • Set project priorities and working through team leaders advance projects from development through implementation, including manpower/work plans, reporting, and quality standards
  • Capture and prioritize product requirements from multiple sources
19

Analytics Product Manager Resume Examples & Samples

  • Work with client product team or internal EXL product team building consensus on priorities leading to product execution
  • Drive product development with a team of world-class scientists, engineers and designers
  • Integrate usability studies, research, and market/competitive analysis into product requirements to enhance user satisfaction
  • Develop near and long term product plans and product milestones that deliver on the overall business objectives
  • Advanced graduate degree and excellent academic record required (e.g., MBA, PhD)
  • 3+ years of product management in innovative teams (startups and/or large corporations)
  • Deep understanding of technical architecture and UX of software products
  • Strong track record in business strategy, business development, financial modelling, and market analysis
  • A genuine interest in new tools and technology – new software learned without handholding
  • Strong communication skills that engages audience and instils credibility
  • Active interest in the insurance industry landscape (Who are the big carriers? What are the up and coming startups? What sort of businesses are reinsurers, carriers, MGAs, and brokers? What are the product offerings in commercial, consumer and life insurance?)
  • UX, UI design (through wire frames and mock ups), and rapid prototyping
  • Experience in sales and product marketing
  • We invest heavily in training you in all aspects of analytics as well as in leading analytical tools and techniques
  • A talented and experienced pool of mentors and advisors
20

CIB Market Execution Analytics Product Manager VP Resume Examples & Samples

  • 6+ years of experience of the eCommerce product landscape working with UX and Visual Design teams to deliver products
  • Contribute to the overall Analytics strategy by suggesting products to be developed and marketed
  • Understand MIS and how it can drive the product lifecycle
  • Strong Project Management and Business Analysis experience
  • Strong communication and partnership skills
21

Business Intelligence & Analytics Product Manager Resume Examples & Samples

  • Partnering with business units, product owners, data scientists and development teams to translate potential data-driven ideas into fully developed product solutions
  • Champion ideas that lead to end-to-end visibility of the performance and health of initiatives
  • Architect and create post-event and predictive analysis for new products from relevant rich data sources across Verizon and externally
  • Analyzes complex business problems using data from internal and external data sources to provide strategic and actionable business insights to decision makers
  • Identifies and interprets trends in patterns to locate influences and construct forecasts and recommendations on strategic/tactical plans
  • Define and implement specifications for reports and analysis based on business needs and required/ available data elements
  • Demonstrate the value of different product alternatives and potential investments through analyses
  • Use analytics to help inform the product roadmap
  • Make and present data/findings in a relevant, consumable, meaningful and insightful way (including presentations, reports and dashboards)
  • Analyze and monitor key performance metrics and recommend product enhancements
  • IT Prioritization Lean Business Agile lead and management
22

Business Intelligence & Analytics Product Manager Resume Examples & Samples

  • Establish business intelligence and reporting for the Supply Chain organization, especially our Planning & Replenishment Group
  • Develop the BI architecture working closely with IT on the creation of a BI reporting platform which includes SAP BW on HANA, HANA Enterprise, Oracle SuperCluster, Hadoop, Microsoft SQL Analysis Services and Tableau
  • Provide program management and business direction on all aspects of reporting
  • Guidance on practices, policies and procedures for data model development, data governance and data quality
  • Lead the effort to establish a process to manage the incoming report requests, be able to prioritize projects, identify key resources needed for report creation and coordinate the implementation of BI projects in partnership with IT
  • Manage the day-to-day direction and coordination of the business analysts in the development and delivery of reports. Develop report plan and work with business users to create requirements for reports. Report on project status and ensure the integrity of the data. Establish guidelines and set the standards for BI to ensure reports are using the appropriate data sources, drive a consistent look and feel across the organization
  • Manage and provide training for the BI tools and support for the users when needed. As well as, establish and monitor the measures for success of the BI strategy
  • Work with rest of reporting team to develop requirements for BI, develop architecture and coordinate with IT to build infrastructure
23

Business Intelligence & Analytics Product Manager Resume Examples & Samples

  • Detailed financial and operational analysis – Develop, maintain and update comprehensive pro forma financial models and valuation analysis in support of network rollout planning and strategic business cases. Clearly present findings and impacts in order to drive decision making
  • Geospatial analysis – Perform geography-specific analysis on network construction costs, competitor landscape, and product offering in support of pricing. Use software tools to combine data and knowledge from independent systems to create a holistic view of a market to support decision making. Communicate findings and recommendations along with the methodology used to drive to conclusions
  • Partner with subject matter experts – Forge relationships across all lines of business and operations with the goal of building and validating a comprehensive data set from internal systems that will support financial modeling. Lead discussions about business cases that are developed by the BI team and how they impact other lines of business
  • Create tracking frameworks – Define key KPI’s and architect dashboard reporting for working team, executive and senior executive use on an ongoing basis
  • Communicate data using innovative methods – Develop new methods for conveying and displaying information for decision makers. Create tools that empower front line operators as well as senior executives to make sound decisions by making massive internal and external data simple, accessible and engaging
  • Research, gather data and analyze vertical opportunities for long-range Business Transformation vision