Analytics Data Architect Job Description

Analytics Data Architect Job Description

186 votes for Analytics Data Architect
Analytics data architect provides expertise in both defining data structures, data layer and data integration practices for business intelligence and for operational uses.

Analytics Data Architect Duties & Responsibilities

To write an effective analytics data architect job description, begin by listing detailed duties, responsibilities and expectations. We have included analytics data architect job description templates that you can modify and use.

Sample responsibilities for this position include:

Build scalable, extendible data pipelines and data models to provide decision-support to Customer Service and Product teams
Provide expert advice and education in the usage and interpretation of data for the customer service group
Employ sophisticated statistical analysis and machine learning to work across business areas such as Marketing Analytics, Customer Insights, Product Analytics, Pricing Optimization, Recommendation Engines, Web Personalization
Responsible to setup / modify modeling standard be a watch dog that the standards are maintained in multiple projects
Own all CS data engineering and architecture
Work closely with Engineering teams and CS stakeholders to understand how source system changes impact our upstream data processing
Develop a strategy and roadmap for the Global Data & Analytics Services
Maintain the Technical Reference Model taxonomy for the Global Data & Analytics Services
Create and maintain Reference Architectures for the Global Data & Analytics Services
Work with the governing bodies and management to create, publish, and promote Global Data & Analytics Services direction

Analytics Data Architect Qualifications

Qualifications for a job description may include education, certification, and experience.

Licensing or Certifications for Analytics Data Architect

List any licenses or certifications required by the position: AWS, TOGAF, ISTQB, HANA, EA, CPCU, P&C, GCP, ITIL

Education for Analytics Data Architect

Typically a job would require a certain level of education.

Employers hiring for the analytics data architect job most commonly would prefer for their future employee to have a relevant degree such as Bachelor's and Master's Degree in Computer Science, Engineering, Mathematics, Technical, Information Systems, Education, Statistics, Science, Business, Information Technology

Skills for Analytics Data Architect

Desired skills for analytics data architect include:

Data Warehouse & Business Intelligence principles for Both Teradata & Hadoop platforms
VCM DW data domains and data
Assigned areas
Expertise in contemporary use of automation to improve business performance
HL7 specification and interface implementation pattern
Hadoop and Greenplum
Leading practices and SAP S/4 solution capabilities for the in-scope business analytics
Logistics and order to cash

Desired experience for analytics data architect includes:

Strong leadership and proven track record and experience architecting application and technology solutions for portfolios in a complex mission critical environment is a must
Experience with Data Management, Advanced Analytics, Data Architecture, Hadoop Technology and DEEP TECHNICAL EXPERTISE is a must
Solid knowledge of computer science and statistics is required
Experience with the overall Hadoop ecosystem
Well versed in installing & managing Cloudera distribution of Hadoop
Hands-on experience with analytical tools, languages, or libraries

Analytics Data Architect Examples


Analytics Data Architect Job Description

Job Description Example
Our innovative and growing company is hiring for an analytics data architect. We appreciate you taking the time to review the list of qualifications and to apply for the position. If you don’t fill all of the qualifications, you may still be considered depending on your level of experience.
Responsibilities for analytics data architect
  • Deep knowledge of R and the open source ecosystem around it
  • Work with business stakeholders to
  • Leads reference architecture function for Data & Analytics
  • Develops vision, strategy and execution plans for End User Enablement
  • Influences Reference Architecture Budget
  • Works closely with Domain/Business Architects and Platform Engineering to ensure strategy and execution alignment
  • Leads the architecture for reference implementations
  • Develops end-to-end Business Intelligence solutions using SSIS/SSRS for complex business requirements that are often non-conforming and without clear precedent
  • Completes production support service requests, troubleshooting issues and batch support to ensure high levels of application availability and accuracy
  • Regular and periodic maintenance/upgrade of data warehouse SQL server, BI tools like SSIS and SSRS
Qualifications for analytics data architect
  • Experience with a general-purpose programming language
  • Demonstrable ability to quickly understand new concept
  • Exposure to machine learning techniques, classification and clustering techniques, and pattern analysis experience is a considered beneficial
  • More than 5 years of hands-on experience with production-scale Hadoop architectures (incl
  • Candidate is expected to have work experience with Big Data & Analytics solutions with Hadoop / Spark
  • Candidate should be able to setup Hadoop / Spark clusters from scratch and deploy analytics solutions on top of it

Analytics Data Architect Job Description

Job Description Example
Our innovative and growing company is hiring for an analytics data architect. If you are looking for an exciting place to work, please take a look at the list of qualifications below.
Responsibilities for analytics data architect
  • Works with business leaders to develop detailed business requirements, creating functional design, gap analysis, technical design, and traceability matrices
  • Provide advanced analytic leadership to the Enterprise Business Intelligence program
  • Promote awareness of the BI program and advanced analytic opportunities
  • Drive advanced analytic Communities of Excellence
  • Develop and promote the BI University program targeting educational opportunities for BI Partners across the enterprise
  • Work with EBI solution managers to enable effective marketing and communication at all corporate levels
  • Stay abreast of Advance Analytic (Data Science) industry trends, technologies and best practices and identify appropriate solutions / positions within NXP
  • Work collaboratively with application and infrastructure engineers to develop, document and maintain current and strategic data warehouse capability roadmaps, principles, standards models, patterns, and reference architectures
  • Ability to establish budgetary costs and projections for achieving the technology roadmaps
  • Provide the broader enterprise architecture vision for projects and initiatives which are funded
Qualifications for analytics data architect
  • Bachelor's degree in Business Administration or Management, Computer Science(s), Information Technology/Security, or equivalent work experience
  • Specialist in Platform technologies including Web
  • Certifications related to the role which may include TOGAF, ArchiMate, or BPMN is preferred
  • Excellent written and verbal communication skills with the ability to interact and influence all levels of employees, bridging the gap between technology and business
  • Hold a valid passport and able to travel to Global locations periodically on business assignment
  • Strong knowledge of data warehousing around Teradata, Exadata, Netezza

Analytics Data Architect Job Description

Job Description Example
Our growing company is hiring for an analytics data architect. If you are looking for an exciting place to work, please take a look at the list of qualifications below.
Responsibilities for analytics data architect
  • Outstanding technical, business, and customer-centric communication skills
  • Maintain overall responsibility for the Product Analytics team’s Managed Workspace including performing ETL, ensuring data accuracy and working with IT for necessary infrastructure updates
  • Data and Policy Analysis – strong data and analytics experience, experience with utilization of data for statistical and policy analysis for the generation of reporting in support of EOHHS management, program development and policy decisions
  • Architect and design state of the art Data visualization UI/tools for the best of breed big data applications
  • Work with product team and guide the engineers in choosing the right tool and methodology for big data Analysis and visualization development
  • Design by leveraging technology and available platforms, contributing to roadmaps
  • Ensure complete and up to date documentation of the architecture and implementation thereof to a level that it can be used by project teams
  • Driving an accepted implementation of architecture, by explaining, convincing, involving of and cooperating with all functions, deciding
  • Risk management of information and IT data assets through appropriate standards and security policies
  • Responsible for the creation and governance of enterprise wide solution standards that enable data and analytics solution capability
Qualifications for analytics data architect
  • OSQL Server/Oracle/DB2
  • OTransactional data
  • OUnstructured data
  • Experience analyzing data with proven ability to synthesize quantitative results, derive business implications and make clear recommendations
  • Minimum 5 years of experience in ERP Development, Testing, Implementations including interfaces, coding techniques, functions, stored procedures
  • 10+ years in technology architect roles

Analytics Data Architect Job Description

Job Description Example
Our company is growing rapidly and is looking to fill the role of analytics data architect. To join our growing team, please review the list of responsibilities and qualifications.
Responsibilities for analytics data architect
  • Responsible for the collection of content to complete sections of the EARR (Enterprise Application Review Request) related to their competency area
  • Maintains the highest level of expertise and competence in Data Integration space, stays current with new BI/reporting technology and development techniques
  • Stays current on relevant industry developments – payment reform, regulations, quality measurement, performance improvement, Meaningful Use, in order to be informed partner to analyze data to find answers to complex problems
  • Understand the strategic business needs of the company and industry trends in order to lead the development of business capability “North Stars” Destination Architectures, Reference Architectures (with EOS, EOM Doomsday and Refresh cycles), Architectural StandardsandUsage guidelines will be created to enable delivery capabilities
  • Proactively monitor the strategic direction of technology, market trends and Solution Vendors, and determine their potential impact and value to the enterprise
  • Develop and communicate Architecture Roadmaps in conjunction with business process partners and strategy teams
  • Organize and conduct regular meetings of the Technology Review Board to jointly evaluate, establish, publish and refresh the standards as needed review requests from projects wishing to change published standards
  • Maintain relevant application lifecycle plans within portfolio to identify, monitor, publish and educate appropriate times to rehost, refactor, revise, replatform, rebuild or replace and lead identification of assets or services that can be re-used by the project teams to drive consistency, cost reduction, and increases speed to market within the specific architecture domain
  • Participate in Architecture Review Board for Architecture Governance across architecture domains
  • Provide technical and architecture consultingto Business, Business Alignment and Solution Delivery Teams and advocate the communication of and adherence to defined application architecture strategy
Qualifications for analytics data architect
  • A broad understanding of all major technical platforms, technical architecture models
  • Degree in Computer Science or related technical field required
  • Experience with key reporting solutions including Tableau, Omniscope and MicroStrategy will be highly valued
  • Familiarity with big-data concepts, cloud computing, open-source tools, and optimization techniques is preferred
  • At least 10 years experience in /as an architect in the data warehousing and BI space (incl
  • Good programing skills (Java, Python) knowledge and experience with database systems (SQL, non-SQL), tools for data integration, analysis, and data modeling

Analytics Data Architect Job Description

Job Description Example
Our company is growing rapidly and is looking to fill the role of analytics data architect. If you are looking for an exciting place to work, please take a look at the list of qualifications below.
Responsibilities for analytics data architect
  • Establish and Drive Architecture, Delivery Monitoring, and Value Measurement for strategic BI and Analytics initiatives
  • Drive innovation and maintain influential knowledge of industry trends in strategic areas of importance such as Machine Learning, AI, and IOT areas
  • Continuously provide detailed, accurate and timely updates on current activities to all stakeholders including CCNA CIO & Business Executives
  • Develop multi-year IT Roadmap for areas of responsibility
  • Develop and socialize business analytics strategy, roadmap, and architecture specifically for geo-spatial visualization and situational awareness requirements
  • Identify & elaborate situational awareness analytics use cases, goals and objectives
  • 15 plus years’ experience in software development roles with a proven track record of cross-product architectural design
  • Proven track record of developing Data Analytics Products
  • Experience with Business Intelligence, Data Warehousing, Predictive Analytics, AI, Big Data, Machine Learning, Hadoop
  • Hands on experience with various languages, scripting, and libraries to include Java, Angular, and React
Qualifications for analytics data architect
  • Bachelor's degree in Computer Science, Business Information Management or similar
  • 15+ years in hands on software engineering (expert level in specific technical area)
  • Bachelor’s degree from a four-year college or university in Information Technology or similar field
  • Eight (8) years of relevant experience OR an equivalent combination of education and relevant experience
  • Expert development/debug skills on Microsoft SQL Server Integration services (SSIS) and SQL Server Reporting services (SSRS) tool
  • Experience performing administrative tasks on SQL Server

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