Big Data Analytics Resume Sample
Urban Leuschke
638 Kessler Via,
San Francisco,
CA
+1 (555) 786 1371
Work Experience
Data Quality Team Lead-big Data Analytics
02/2017
-
PRESENT
Chicago, IL
- Responsible for delivery of Programmes / Projects to agreed KPI’s from within the BD&A practice
- Influences client business strategies and sell solutions from across company solution portfolio
- Delivers services against client SLA’s and other contractual agreements
- Regional escalation point for BD&A
- Responsible for ensuring customer satisfaction
- Architect, implement and test data processing pipelines, and data mining / data science algorithms on a variety of hosted settings, such as AWS, Azure, client technology stacks, and KPMG’s own clusters
- Accountable for managing the local technology budget required for implementing the local aspects of the Big Data & Advanced Analytics Programme
Big Data Analytics
11/2014
-
01/2017
Chicago, IL
- Managing major programmes in an Enterprise environment
- Solid understanding of and demonstrated experience in Agile/LEAN
- Team Management– Assist in team development while holding teams accountable for their commitments, removing roadblocks to their work; leveraging organizational resources to improve capacity for project work; and mentoring and developing team members
- Process Management and Improvement– Define and manage a well-defined project management process and champion ongoing process improvement initiatives to implement best practices for Agile Project Management
- Identifies trendsetter ideas in the industry/markets and assesses the competitive edge for Oracle’s Big Data and Analytics value proposition
- Maintains an understanding of the Big Data product market in ECEMEA and supports Sales, by territory, through business monitoring
- Establishes priorities and maximizes key opportunities for Big Data and Analytics within the Oracle economy and wider competitive market
Big Data & Analytics Coprime
02/2009
-
10/2014
Dallas, TX
- Collates, documents, disseminates and shares knowledge and expertise extensively
- Envision and extend the core data, analytics, and cognitive capability of our data platform solution
- Educate and training IBM sales and delivery staff on the solution and its new capabilities
- Interact with clients and client teams on feedback on the data platform solution
- Identify the local data sources that need to be used in order to enable advanced analytics, and manage the local process to access and automate the extraction of the data to the shared analytics platform
- Deploy and integrate Advanced Analytics solutions into the local technology landscape, including managing the possible integration to any local systems
- Expand and broaden understanding of a whole multitude of technologies
- Benefit from interaction with global development teams
Education
University of Management and Technology
2004 - 2008
Science's Degree in Computer Science
Professional Skills
- Bring a mix of experience across the following BD&A areas
- Strong Linux/Unix platforms Developer
- Experience delivering complex programmes and managing a variety of stakeholders across distributed organisations
- Lead, motivate and retain a strong team of BD&A Consultants – expanding the team as the
- Experience with data warehousing, campaign managers, visualisation tools
- Experience in translating business objectives to system requirements
- Experience in Business Intelligence Architecture including Big Data and Cloud Solutions
How to write Big Data Analytics Resume
Big Data Analytics role is responsible for architecture, java, telecommunications, integration, training, translation, languages, analytics, consulting, coding.
To write great resume for big data analytics job, your resume must include:
- Your contact information
- Work experience
- Education
- Skill listing
Contact Information For Big Data Analytics Resume
The section contact information is important in your big data 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
- Telephone number
Work Experience in Your Big Data Analytics Resume
The section work experience is an essential part of your big data 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 big data 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 big data analytics position you're applying to.
The work experience section should be the detailed summary of your latest 3 or 4 positions.
Representative Big Data Analytics resume experience can include:
- Experience in Business Intelligence Architecture including Big Data and Cloud Solutions
- Experience in technical consulting and sales
- Experience in technical consulting and sales
- Experience in translating business objectives to system requirements
- Working closely with partner leaders and cross functional teams across various business units
- Being the public face of Oracle’s IaaS products with partners
Education on a Big Data Analytics Resume
Make sure to make education a priority on your big data analytics resume. If you’ve been working for a few years and have a few solid positions to show, put your education after your big data 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 Big Data Analytics Resume
When listing skills on your big data 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 big data analytics skills:
- Experience in the effective translation of business objectives to system requirements
- Solid understanding of Business and ICT strategy and enterprise customer approach to broad architectural challenges and opportunities
- Experience in Business/Systems, Finance, Retail, Life Sciences, or Telco industry knowledge
- Strong leadership qualities as a practice manager and team leader
- Be a thought leader in this space with strong knowledge of business analytics and strategy
- Experience in Business Intelligence and Big Data
List of Typical Skills For a Big Data Analytics Resume
1
Skills For Data Quality Team Lead-big Data Analytics Resume
- Provide thought leadership for BD&A in FSS both in the market through targeted speaking engagements and publishing external articles, and internally
- SOA, Web Services, Webservers, Messaging, Sockets
- Continuous Delivery (Continuous Integration Builds, Continuous Testing and deployment)
- Issue Tracking : Jira, mantis, ALM, Bugzilla
- Cloud Computing : Docker/kubernetes, Vagrant
- Application Architecture/Design concepts: client/server, n-tier, design patterns
- Dev Languages: C/C++, Ruby, Perl , Python, Java, XML/XAML, Shell
2
Skills For Principal Engineer SW BIG Data Analytics Resume
- Make, Maven, gradle, automake, Ant
- Oracle, Mongo Db, Sybase, SQL
- JFrog Artifactory / Sonatype Nexus
- Hadoop, Map/Reduce, Storm, Hive, Spark, Hbase
- JAVA, Scala, SQL, Python, R
3
Skills For Big Data & Analytics Engineering Resume
- Communicate with internal & external parties
- Virtual Machine Fabric: VMWare ESX, Hyper-V
- Part of a global development community of more than 30,000 developers
- Additional benefits, such as memberships to Elsevier’s magazines, discount on books and in-house sport facilities
- Develop and maintain key senior executive relationships at FSS clients to generate and build business
4
Skills For Director, Big Data / Analytics Resume
- Work closely with clients and team members to determine market needs and develop innovative BD&A end-to-end solutions
- Work with account and industry teams to promote BD&A solutions, to qualify opportunities and to formulate solutions for clients
- Promote end-to-end solutions leveraging major big data platforms and analytics software in the market such as Cognos; SPSS; i2; Teradata; SAS; KXEN; FICO; TIBCO; Angoss; etc
- Direct and deliver BD&A consulting projects and large scale BD&A solution implementation projects
- Expertise in implementing AWS, Microsoft, IBM, Oracle, HP, SAP either in private or public clouds
5
Skills For Big Data & Analytics Coprime Resume
- Develop & sell BD&A Solutions in collaboration with other IBM’s service lines and domains
- Accountable for the success of all BD&A engagements for the FSS Sector
- Architect/Design/Develop/Support enterprise scale systems/tools/frameworks/libraries for global use across Citi’s Technology groups
- Contribute to growth in IBM Global Business Services (GBS) new business, revenue and profit from Financial Services companies using analytics and cognitive computing
- Oversee Big Data, Date Warehouse, Business Intelligence, Data Integration, Enterprise Information Management, Master Data Management and/or Data Consolidation projects
6
Skills For Manager, Big Data & Analytics Resume
- Internet of Things – Sensor driven analytics
- Predictive and Advanced Analytics
- Experience in technical consulting using conversant technologies like Hadoop, NoSQL databases, Kafka, OpenSource data tools and platforms. Experience with data platform modernization
- Experience in industry related business and systems in Finance, Retail, Government, Life Sciences, and/or Telecommunications
- Lead or participate the project to build big data platform involves data storage & computation, data operation and data analytics
- Translate complex functional and technical requirements into detail design and lead the implementation
7
Skills For Associate Partner, Big Data & Analytics Resume
- Develop & manage the operational policy and process
- Protect data with security & privacy
- Experience in technical consulting using conversant technologies like Hadoop, NoSQL databases, Kafka, OpenSource data tools and platforms. Experience with data platform modernization
- Experience in Business Intelligence and Big Data
- Experience in industry related business and systems in Finance, Retail, Government, Life Sciences, and/or Telecommunications
- TeamCity, Jenkins, Banboo,
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