Enterprise Analytics Resume Sample

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Nannie Koss
91324 Morris Islands,  Phoenix, AZ
+1 (555) 269 4844

Work Experience


Director, Enterprise Analytics
08/2015 - PRESENT
Phoenix, AZ
  • Lead and coordinate team attendance at college recruiting events and other opportunities to build MGM’s Analytics brand at college level
  • Analyze accuracy, completeness and usage of enterprise data and develop operational metrics for our team to monitor and improve performance and service to our internal customers
  • Develop trainings, documentation, and other tools to reduce speed of onboarding new analysts and to increase productivity and effectiveness of existing analysts
  • Evangelize enterprise-wide adoption of Zendesk Explore for data visualization, manage migration of existing reports, and promote a data-driven and insights-obsessed culture
  • Collaborate with teams across the company including IT, Product Development, Marketing, Sales, Legal, and Finance to understand all enterprise data needs and ensure that we are meeting those needs
  • Partner closely with the data analyst community throughout the company, and the business leaders they support, to drive key cross-functional programs with executive-level visibility
  • Develop requirement analysis, functional specifications and solutions design for analytics and
  • Excellent interpersonal communication skills and team player attitude. Strong oral and
  • Fifteen years of experience in the data practices combined with aptitude for analysis and an ability to learn quickly
Developer for Enterprise Analytics
01/2011 - 06/2015
Boston, MA
  • Working knowledge of Hadoop, Pig, Hive, Netezza and/or NoSQL or MapReduce
  • Experience with statistical software such as Matlab, R, SAS, or SPSS and SQL, relational database design and methods for efficiently retrieving data from databases
  • Experience with integrating large-scale heterogeneous datasets
  • Demonstrated success with high visibility projects, leadership in technology use and development, change management, budget and business case development
  • Possesses highly detailed functional expertise and broad industry knowledge of data governance, business intelligence and data warehousing
  • Demonstrated ability to drive goals, standards, practices and process of a data management system
  • Adaptability and ability to work on a diverse set of projects and interact with a diverse set of associates and managers throughout the corporation
Working Student for Enterprise Analytics
10/2005 - 11/2010
Houston, TX
  • Fifteen years of progressively responsible management positions in complex organizations
  • Ten years of experience managing teams, both directly and in matrix organizations
  • Ten years of experience in the financial services industry
  • Ten years leading transformation and strategic initiatives in large and complex organization
  • Five years of hands-on experience in model development, statistical methodologies and/or quantitative analyses
  • Five years of experience leading an analytics team
  • Expertise with statistical research techniques including modeling, data mining, clustering and segmentation

Education


Southwestern Adventist University
1999 - 2004
Bachelor's Degree in Computer Science

Professional Skills


  • Strong value realization skills, including understanding the financial implications of initiating or foregoing a project
  • Data mining & analysis (i.e., strong programming SQL and/or excel skills and comfortable with manipulating large data sets)
  • Excellent analytical and critical thinking skills, with an ability to translate internal stakeholder needs into both business and technical requirements
  • Team player with strong relationship building and communication skills
  • Strong critical thinking skills to scope and frame data and solve data and analytics challenges
  • Effective interpersonal and relationship building skills to effectively work with teammates and business partners
  • Strong presentation skills, with the ability to convey analytic results clearly across a variety of stakeholders

How to write Enterprise Analytics Resume

Enterprise Analytics role is responsible for business, analytical, database, retail, finance, credit, training, integration, security, java.
To write great resume for enterprise analytics job, your resume must include:

  • Your contact information
  • Work experience
  • Education
  • Skill listing

Contact Information For Enterprise Analytics Resume

The section contact information is important in your enterprise analytics resume. The recruiter has to be able to contact you ASAP if they like to offer you the job. This is why you need to provide your:

  • First and last name
  • Email
  • Telephone number

Work Experience in Your Enterprise Analytics Resume

The section work experience is an essential part of your enterprise analytics resume. It’s the one thing the recruiter really cares about and pays the most attention to.
This section, however, is not just a list of your previous enterprise analytics responsibilities. It's meant to present you as a wholesome candidate by showcasing your relevant accomplishments and should be tailored specifically to the particular enterprise analytics position you're applying to. The work experience section should be the detailed summary of your latest 3 or 4 positions. Representative Enterprise Analytics resume experience can include:

  • Excellent communication (verbal and written), organizational, and interpersonal skills
  • Excellent Tableau knowledge and experience
  • Responsible for coaching, scoping, planning, prioritizing and managing all informatics projects and staff
  • One (1) year of experience analyzing data including storytelling, benchmarking, competitive analyses, and/or modeling
  • Good understanding of data mining algorithms and machine learning techniquesand how to implement them to solve business problems
  • Good understanding of data processing and data modeling

Education on an Enterprise Analytics Resume

Make sure to make education a priority on your enterprise analytics resume. If you’ve been working for a few years and have a few solid positions to show, put your education after your enterprise analytics experience. For example, if you have a Ph.D in Neuroscience and a Master's in the same sphere, just list your Ph.D. Besides the doctorate, Master’s degrees go next, followed by Bachelor’s and finally, Associate’s degree.

Additional details to include:

  • School you graduated from
  • Major/ minor
  • Year of graduation
  • Location of school
These are the four additional pieces of information you should mention when listing your education on your resume.

Professional Skills in Enterprise Analytics Resume

When listing skills on your enterprise analytics resume, remember always to be honest about your level of ability. Include the Skills section after experience. Present the most important skills in your resume, there's a list of typical enterprise analytics skills:

  • Strong communicators, both verbally and in writing, who effectively communicate at all levels of the organization
  • Proven leadership skills with ability to manage across various levels of the organization and work collaboratively with all levels of management
  • Strong knowledge and hands-on experience in data processing and data modeling
  • One (1) year of consulting experience, or experience creating executive presentations
  • Exceptional analytic, problem solving and critical thinking skills
  • Self-starters who take initiative in managing goals, utilize analytical skills and possess adaptability to change

List of Typical Experience For an Enterprise Analytics Resume

1

Experience For Director, Enterprise Analytics Resume

  • Prioritize tasks/issues/escalations and manage many projects simultaneously
  • Manage a complex workload that includes multiple tasks and conflicting priorities
  • Assist with any data mining/analysis/reporting as needed
  • Participation in developing enterprise data strategies and roadmaps
  • Job shadow Data Governance Manager, Business Intelligence Developers & Project managers involved with production of enterprise-wide analytics (i.e., operational, financial, marketing analytics)
  • Document and/or streamline an existing process within the department (i.e., data governance or analytics development, etc....)
2

Experience For Manager, Enterprise Analytics Resume

  • Meet and work with Data Governance Manager/ Enterprise Data Manager for overview of data governance model and understand the steps required to build a data governance program
  • Assist with the necessary education planning for data governance stakeholders
  • Responsible for R&D activities and data-driven proofs-of-concept (POCs) including topics like social media analytics and speech analytics
  • Partner with Marketing and Lines of Business to leverage data and sales processes to increase revenue and achieve their strategic goals
  • Assist with the necessary database maintenance functions, as well as, any data field corrections required
  • Developing guidelines and implementing a common L2 data model based on industry practices and organizational assets through collaboration with SME’s and CDO/CRDM
3

Experience For Senior Analyst, Enterprise Analytics Resume

  • Professional-related experience
  • Familiarity with deep data analytics with a broad knowledge, and curiosity for, known and unknown data variations and qualitative business planning and problem solving
  • Hadoop knowledge or experience
  • ETL / ELT technologies
  • Quarterback an advanced analytic project and deliver insights to team’s key business partners
  • Develop knowledge of Company’s business processes and product portfolio
  • Complex data discovery and analysis on multiple platforms such as SFDC, SQL Server & Tableau
4

Experience For Manager, Enterprise Analytics Systems Resume

  • Design and development of MDM processes such as data standardization, deduplication and hierarchy management
  • Source to target mappings to support ETL processes that integrate data across systems
  • Design and build analytic products such as dashboards, reports and BI visualizations
  • Partnering closely with the business and application teams to implement and measure effectiveness of MDM, Data Governance and Data Quality processes across multiple data domains
  • Support the definition of the enterprise BI strategy and policy
  • Ensure delivered solutions and their use is consistent established BI strategy and policies
  • Create, optimize and maintain complex T-SQL as part of stored procedures, views, functions, and queries that efficiently analyze health care claims data based on requirements
  • Develop and support internal and client facing operational volume and performance reporting
  • Troubleshoot and resolve issues as they arise. Ensure databases and systems are executing optimally
5

Experience For VP, Enterprise Analytics Resume

  • Perform complex ad hoc queries against data tables to support development work
  • Recommend and develop Exact-Transform-Load (ETL) packages required for data integration projects
  • Analytics liaison for members of the CareSource executive and senior management team
  • Serve on operational and management committees as appropriate
  • Work with key business owners to establish and meet their analytic needs or the analytic needs of the organization
6

Experience For Developer for Enterprise Analytics Resume

  • Responsible for determination of appropriate predictive solutions throughout the organization and approach for incorporating them into the organizations workflow
  • Work with IT leadership to help identify solutions for incorporation into the organization’s workflow
  • Drive selection, business relationship and implementation of analytic tools
  • Conceive, establish and direct the development of various outcome/predictive/analytic studies that establish CareSource as a leader in healthcare analytics regarding the healthcare status, needs or delivery results of our members
  • Identify trends and variances and identify in-depth cause-effect relationships between seemingly unrelated components, culmination in public publication and/or presentation of the findings
  • Responsible for guiding and directing staff through complex projects
7

Experience For Working Student for Enterprise Analytics Resume

  • Responsible for completing performance appraisals and disciplinary actions of direct reports
  • Responsible for the determination of appropriate predictive solutions throughout the organization
  • Drive the creation of unique graphics and presentation techniques that describe, explore and summarize analytics for communication to appropriate parties
  • Responsible for directing, coaching and management of the Informatics teams as they conduct in-depth analysis such as provider practice patterns, examination of complex data relationships, and use of statistical techniques to measure impact of various actions/results
  • Responsible for hiring, training, coaching and developing direct reports
  • Lead the creation, approval and institutionalization of the Data Sciences program. Establish policies, standards, and best practices for the enterprise through design and implementation of data, reporting and analytics structures and control frameworks for the ongoing management of data insights including data benefit metrics
  • Develop the vision and strategy for the Business Intelligence (BI) Competency Center and collaborate with the Data Strategy and Architecture team to accommodate the growing portfolio of BI applications
  • Responsible for design expertise in data marts, data warehouses and business intelligence enterprise reporting
  • Design end-to-end business intelligence solutions including data models, ETL design and BI applications. Define methodology to implement business intelligence solutions, assess effectiveness of deployed solutions and identify ways to increase the use of business intelligence within the organization
8

Experience For Intern, Enterprise Analytics & Insights Resume

  • Seek patterns and trends in structured and unstructured data through big data initiatives
  • Manage a team of world class analysts to frame and conduct complex analytical experiments and generate predictive analytical insights using diverse, massive datasets
  • Assess the current data management landscape, identifying strengths and weaknesses to develop a forward-looking strategy that takes into account broader industry trends
  • Collaborate with the Data Governance and Quality Assurance team on a solid approach to data quality, working closely with the lines of business to increase confidence in the soundness of data
  • Direct efforts to source, scrub, and join varied data sets from internal and external disparate sources
  • Partner closely with a cross-functional team to coordinate business rules on data usage and the analytic capabilities including effectiveness and scope of use through by fostering a culture of mutual accountability for accuracy and operational excellence
  • Represent the EDO for enterprise level projects relating to Data Sciences and data driven business intelligence
9

Experience For Senior Systems Analyst, Enterprise Analytics Resume

  • Responsible for assigned personnel regarding employment, career development, performance evaluations, salary changes, promotions, transfers and terminations within established policies and guidelines to include completion and delivery of personal development plans ("PDPs") and implementation of salary, officer and other personnel-related changes
  • Plan and develop departmental budgets in accordance with established guidelines and execute to meet budgetary goals, negotiating changes as required. Plan and manage the resource planning process
  • Deploy and manage Client Relationship Management (CRM)/Salesforce.com and integrate into overall CRM strategy
  • Contribute to the IRM strategy by promoting and enhancing the processes by which LOBs generate and respond to IRM referrals. Provide the leadership for the technology platform to support the IRM process and efforts. Develop measurement and manage to constantly improve on this initiative
  • Provide on-going analysis of all LOB direct sales and IRM sales to ensure that we have a consistent BB&T sales philosophy, tools and processes. Assist the LOB sales leadership in providing the tools, guidance and collaboration to ensure that BB&T successfully meets or exceeds our targeted sales production goals
  • Provide the Enterprise sales teams with Perfect Client Experience (PCE) branded messaging, support and integration into sales strategy
  • Partner with product innovation and management leaders, as well as clinicians, sales and marketing partners, to identify existing and evolving business needs which can be effectively solved with a variety of analytic approaches
  • Engage with executive leadership to identify areas where analytics can drive business value, frame business problems into analytic questions, and translate analytics into business value
10

Experience For Enterprise Analytics Manager Resume

  • Develop and execute a prioritized analytic strategy to address the business needs and partner with analytic leaders from the Enterprise Analytics organization and IT as needed to delivery on the strategy
  • Oversee coordinated and consistent analytic support for the enterprise suite of utilization management programs (Prior Authorization, Quantity Limits, Step Therapy, Specialty Guideline Management, etc) across both pharmacy and medical benefits
  • Envision, define and deliver advanced analytic solutions to drive enhanced utilization management outcomes, such as case volume forecasting, automated outlier detection, predictive modeling based on artificial intelligence and machine learning techniques, population segmentation and risk stratification
  • Deliver analytic solution methodologies and capabilities to enable automated insight generation and reporting, such as identification and closure of data gaps, metrics and measurement methodology development, design and prototyping of self-service reporting and data visualization solutions, and adhoc analytic studies
  • Leverage core pharmacy and medical claims data as well as identify and utilize other data sources (EMR, lab results, clinical data and notes) to provide actionable and relevant and timely analytic insight
  • Recruit, lead and develop a staff of 5+ Master’s and PhD level analytics professional, defining team and individual goals, managing performance and providing onboarding support and ongoing mentorship
  • Experience developing insights and dashboards using a BI tool such as Cognos, Power BI or Tableau
  • Mentor less experienced analysts on standards and techniques to improve their accuracy and efficiency

List of Typical Skills For an Enterprise Analytics Resume

1

Skills For Director, Enterprise Analytics Resume

  • Effective written and verbal communication skills, including technical writing to work with multiple cross- functional teams
  • Business analysis experience, preferably in the fields of Retail, Prepaid or Consulting. Experience working with C-level executives
  • Draw conclusions and effectively influence strategy when communicating findings with both technical and business cross-functional teams
  • Sophisticated report design (Excel or Crystal) and database design/query skills
  • Experience with defining, documenting, and exploring unrealized data pools
  • Experience in mathematical programming, data mining, and/or statistical analysis
2

Skills For Manager, Enterprise Analytics Resume

  • System level troubleshooting on SFDC platform by reviewing triggers, workflows and data validation rules
  • Utilize big data systems and analytics, machine learning and predictive modeling to drive sales effectiveness and operational excellence
  • Experience building data models to generate insights and disseminating information through data visualization (reports, automated dashboards, tables)
  • Knowledge of technologies as Microsoft SQL. Desirable understanding or with experience in Big Data concepts and technologies such as Hadoop/Cloudera
  • Large scale data manipulation and mining/pattern recognition experience
  • Experience communicating findings to make data analysis actionable and understandable by business partners
  • Good understanding of data science project cycles
  • Experience with Microsoft Office applications including Excel, Access, and VBA macros
  • Juggle multiple complex priorities within a changing environment
3

Skills For Senior Analyst, Enterprise Analytics Resume

  • Experience in Business/Operations Analytics and/or management/financial consulting
  • Postgres and other SQL programming experience
  • Work experience in risk, audit, retail, healthcare, marketing or operations analytics
  • 10 – 15 years relevant experience, particularly in design and development of large scale enterprise analytic or portal applications
  • One (1) year of experience with dashboard design and development
  • Proven analytic capabilities with emphasis on delivery of analytics to business partners
  • Extensive experience in descriptive, prescriptive and predictive analytics
4

Skills For Manager, Enterprise Analytics Systems Resume

  • Working with the Engineering team to coordinate the handling/escalation of daily production support issues in a timely and efficient manner
  • Participating in the initiation, planning, requirements, design, test, and post-production phases of the solution development life cycle
  • Working with the Development and Quality Assurance teams to ensure requirements are sufficient to enable technical design, development and testing
  • Driving the end user training for MDM application
  • Understanding frontend design, ideally based on SAP Analytics Cloud
5

Skills For VP, Enterprise Analytics Resume

  • Providing functional support for Data Warehouse and Business Intelligence solutions to support the delivery of analytic capabilities
  • Coordinating user acceptance of applications from development to execution teams
  • Working within the framework of the Project Management / Agile standards to deliver business needs quickly and establish a delivery cadence
  • Improve business and operational efficiency related to revenue accounting processes by automating and maintaining scalable processes, tools, and dashboards
  • T-SQL programming and the ability to design, write and optimize complex well-performing SQL stored procedures
  • Knowledge of managed care industry and health care coding including CPT-4, HCPCS, ICD-10, DRG and Revenue Codes is required
  • Improve business and operational efficiency by automating and maintaining scalable processes, tools, and dashboards
  • Enable Customer Success team members by developing easy-to-use tools and easy-to-understand training and documentation
  • Identify areas for process optimization using data and develop compelling stories and recommendations for Customer Success leadership
6

Skills For Developer for Enterprise Analytics Resume

  • Predictive Modelling using Python, R or other tools
  • An understanding of the business and the businesses’ underlying data is critical
  • Drive revenue by participating in and/or leading Enterprise-level projects
  • Fluency in Java programming and database design
  • Perform data exploration with SAS/R programming to provide insights, track and monitor
  • Assist in exploring 3rd party data visualization plugins to enhance QlikView data visualization
  • Hire, develop and manage a cross-functional team of analytics professionals to solve complex business problems leveraging the Bank's investment in data
7

Skills For Working Student for Enterprise Analytics Resume

  • Support work on leading-edge analytics proofs of concept for potential implementation in the data stack
  • Develop customer segmentation strategies using a comprehensive set of analytical tools
  • Proficiency in software engineering tools and CI/CD practices
  • Expertise with Hyperion Reporting (Smartview) would be highly beneficial
  • Solve analytical problems using complex quantitative approaches
  • Familiarity using Microsoft Team Foundation Server or similar source control management platform
  • Enterprise semantic modeling SQL Developer Data Modeler (SDDM)
8

Skills For Intern, Enterprise Analytics & Insights Resume

  • True passion for data and analytics and the value of data-driven decision making
  • Measure and track efficiencies gained and ROI realized as a result of improving the way Customer Success team engages with our customers
  • BS/BA or equivalent in a quantitative field e.g., math, statistics, engineering, economics, finance, computer science
  • Comfort and mastery in delivering concise and accurate monthly, quarterly, and annual data reports
  • Familiarity with the cable industry and tech industry and excitement for shifting technical and creative demands of the industry
  • Expertise in office-based project management software, including Microsoft Excel and broader Office Suite
  • Identify and develop datasets to support analytics and reporting
  • Baseline understanding with multiple data and analytics technologies
  • Support creation of dashboards and reports, showing KPI’s for department management
9

Skills For Senior Systems Analyst, Enterprise Analytics Resume

  • Successfully deliver solution components (business requirements, design specification, functional specifications, development, testing, and deployment)
  • Responsible for providing strategic direction to the organization for complex analytic efforts and findings
  • Responsible for leading the migration of analytic insights into day to day operations
  • Identify, analyze, and understand data issues and associated inherent risks affecting different areas of the organization
  • Develop Enterprise-level pricing and go-to-market strategies for Blackhawk’s product suite and various sellable services
  • Hadoop Certification from an established distribution vendor
10

Skills For Enterprise Analytics Manager Resume

  • Collaborative and interpersonal teammates who build positive relationships, exhibit tact and earn trust
  • Participate in design, creation and maintenance of complex dashboard and data structures to
  • Participate in project teams as necessary and assist with timely delivery and project
  • Identify, plan and execute analytics projects across the enterprise where scale, complexity or pace are critical factors
  • Establish cross functional teams and work with line of business resources and external parties to deliver analytics projects

List of Typical Responsibilities For an Enterprise Analytics Resume

1

Responsibilities For Director, Enterprise Analytics Resume

  • Ensure solutions can be integrated, deployed, operated and maintained in a cost-effective and timely manner
  • Good understanding of data science project cycles, SAP product offerings as well as a high- and low-level understanding of the technology stack
  • Experience in statistical or mathematic modeling
  • In-depth knowledge & extensive experience with Microsoft Office Suite required (Advanced Excel & PowerPoint in particular)
  • Develop strong partnerships with other internal teams and with business customers
  • Supporting testing activities
  • Providing business and technical documentations
2

Responsibilities For Manager, Enterprise Analytics Resume

  • Helping the team to translate new business requirements into technical implementation packages
  • Acting as quality gate for technical implementation
  • Support the team and end-users with knowledge sharing and insights into delivering high quality reports/metrics
  • BS/BA or equivalent in a quantitative field e.g., math, statistics, accounting, engineering, economics, finance, computer science
  • Develop, execute and monitor complex insights and analytical solutions to business problems using a variety of analytical approaches and methodologies
3

Responsibilities For Senior Analyst, Enterprise Analytics Resume

  • Explore and utilize new data mining and data visualization tools to conduct ad-hoc analysis as required
  • Align with other reporting resources to provide best in class analytics service delivery
  • Develop dashboards or analytical reporting based on SAP’s state of the art analytics software
  • Work cross-functionally and articulate business requirements in sufficient detail such that a technical solution can be designed and engineered
  • Analyze performance trends and identify areas of opportunity to solve a business problem. Prepare and present findings and analysis to stakeholders and ensure alignment with objectives and goals - drive faster, smarter data driven decisions
  • Generate revenue or cost save opportunities through data-driven insights and proactively identify opportunities to optimize the performance and efficiency of existing processes/procedures
  • Keep track of new technologies to get ahead of competition and create analytics as a competitive advantage for JLL. Proactively identify new analytics techniques to develop differentiated analytics solutions to drive results
  • Monitor data / information management processes to ensure data quality and consistency in support of business initiatives. This includes acquiring new data sources and performing data discovery to understand data values and relationships
4

Responsibilities For Manager, Enterprise Analytics Systems Resume

  • Strong programming experience with SQL, SAS, Python, R or other data mining and analysis tools. Ability to quickly understand, process and consume industrial scale databases using one of these tools
  • Develop a strong partnership with the Revenue team and truly understand the team’s business strategy and operational objectives
  • Manage data & analytics projects for the Revenue team, including documenting business requirements, building solutions, and supporting Revenue team to perform user acceptance testing before productionalization
  • Develop SQL queries and management reporting solutions to provide insight on key metrics and underlying drivers for trends
  • Work with large amounts of data from many data sources and develop subject matter expertise on how it all connects together and relates back to revenue, including full dataset reconciliations and ad hoc analyses as needed
5

Responsibilities For VP, Enterprise Analytics Resume

  • Act as representative for Revenue from a data perspective and partner cross-functionally across various business groups including various operations teams, FP&A, Sales, Legal, Product, Services
  • Develop and drive Enterprise-level strategies to improve the dissemination of information, the development of KPIs and strategic tops to bottom insights reporting
  • Experience using BI tools (Microstrategy, Tableau, PowerBI etc.) and SQL to access data
  • Experience working cross-functionally to drive projects and execute strategies
  • Collaborate and partner in design and gathering of business needs for BI/Analytics, and Enterprise Data Mart and Warehouse strategies
  • Assist us in architecting a limited set of new or revised data integration patterns to fit our new architecture and Oracle tools
  • Build and distribute automated dashboards, visualizations and data models to summarize key business insights
  • Support cross-functional projects with P&L input and/or creation, pre vs. post analysis, scenario analysis and strategic insights, leveraging knowledge of products & retail environments
  • Synthesize & analyze data from multiple systems. Performs trend analysisand summarizes findings and recommendations into presentations for internal & external reviews
6

Responsibilities For Developer for Enterprise Analytics Resume

  • Present findings and recommendations at various levels of management, including C-level
  • Effectively communicate and collaborate with internal teams & external customers to analyze information needs and requirements for deliverables (ad hoc analysis)
  • Responsible for maintenance of key data inputs & metrics for team use and internal systems, periodic reporting to sales teams and weekly sales performance tracking
  • Design and build transactional and analytics data integration solutions using our patterns as we transition to new Oracle Utilities Suite applications, and to meet existing and new business requirements
  • Design and build business-oriented solutions as required by our business partners to meet existing and new requirements
7

Responsibilities For Working Student for Enterprise Analytics Resume

  • Collaborate with and support other members of our team as they migrate and build existing and new application integration (primarily SOA-based) solutions using Oracle SOA and MFT tools
  • Bring your experience with Oracle data management products to mentor other technical staff on best practices and out of the box technical functionality
  • Initiate problem solving and collaboration within our team and across units/sections
  • Provide clear and timely communication and documentation to technical and business audiences
  • Engage in projects, small enhancements, changes and support activities
  • Learn the business practices and requirements of our customers and use best practices and patterns to meet their needs
  • Leverage patterns and automation for productivity improvement
  • Apply continuous improvement principles to our processes and documentation
  • Ensure technical designs are compliant with development and architecture standards
8

Responsibilities For Intern, Enterprise Analytics & Insights Resume

  • Produce design, release and support documents that describe how to manage the implementation and integration of technical environments that support business strategies
  • Oracle Golden Gate (OGG)
  • Oracle application frameworks (e.g. J2EE, ADF, OUAF, WebLogic, etc.)
  • Support the development and delivery of analytic and statistical models using skills such as data acquisition and management, algorithm design, and model development & refinement
  • Acquire deep understanding of the business problems and translate them into appropriate statistical models
  • Interpret results and communicate insights to technical and non-technical audiences including executive leadership
  • Ensure overall quality of the data & solutions throughout the analytic development process
  • Develop constructive collaboration with all big data and data science stakeholders (e.g. Data Scientists) to understand requirements and pain points, and provide sustainable and re-usable solutions
  • Visualization software tools such as QlikView, tableau experience
9

Responsibilities For Senior Systems Analyst, Enterprise Analytics Resume

  • Develop a strong partnership with the Customer Success team and truly understand the team’s business strategy and operational objectives
  • Strong analytical abilities and software knowledge in the areas of spreadsheets, power
  • Contribute to roadmap definition of corporate platforms to ensure release of latest technologies, without disrupting productive solutions
  • Evaluate and implement, in a sustainable and compliant way, the latest technologies suitable for big data and data science solutions enablement
  • Articulate detailed architecture proposals and implement best in class solutions for ingestion, processing and consumption of all types of data in the Cloud and On-Premise, to suit data science end to end solutions
10

Responsibilities For Enterprise Analytics Manager Resume

  • Actively contribute to define and implement solutions and frameworks to manage predictive models assets at large scale (Machine Learning Operation)
  • Consider future market trends and technologies
  • Partner with product and engineering teams to solve problems and identify trends and opportunities. Develop tight collaboration with the P&I organization, to ensure that the SAP Enterprise Analytics organization enable the SAP Lines of Business with best utilization of SAP Products
  • Pull data from multiple systems, consolidate and analyze as requested
  • Defining technical measure and dimension definitions
  • Deliver ad-hoc and standard transactional reports for HR and non-HR community based upon queue
  • Participate in additional projects based on business necessity

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