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Data modeler resume sample

Create a Resume in Minutes. Experience Experience. Philadelphia, PA. Senior Data Modeler. Detroit, MI. Lead Data Modeler. Assist service developers in adding new data concepts to their services, Establish standards around flexibility of the data model to ensure deviations are within established guard rails Performs data analyzes and design, and creates and maintains large, complex logical and physical data models, and metadata repositories using ERWIN and MB MDR Assist service developers in finding relevant content in the existing reference models, Assist with defining data model development methodologies, principles, standards, and governance considering People and Process optimization aspects Five or more years of enterprise level data design and development Provide technical support to a review team that approves those additions, and.

Dallas, TX. Data Modeler. Education Education. Drexel University. Skills Skills. Strong applied knowledge of software development efforts through implementation including good design, documentation and supportability practices Strong interpersonal skills; strong written and verbal communications skills; experience with remote or virtual teams Strong work ethics, driven, dependable, and responsible Willingness and ability to learn quickly new Big Data and Cloud Analytics solutions Strong organizational skills with attention to detail Excellent analytical and problem-solving ability Strong understanding of advanced data warehouse concepts Factless Fact Tables, Temporal BI-Temporal models, etc.

Detail oriented with strong organizational and analytical skills Strong analytical skills and writing skills, to include solid experience in writing functional and technical specification Strong people skills including the ability to effectively and concisely communicate orally and in writing across all levels of the organization.

Read our complete resume writing guides. Work with the Card Data Warehouseteam to develop, enhance and maintain its systems Participate in the analysis and design of system solutions to meet business needs Ensure data quality, data understanding within supported areas Demonstrated expertise in logical and physical data modeling ER and Dimensional years experience in developing data-marts, operational and analytical environments yearsusing Data Modeling tools: ERwin Knowledge of software project lifecycle Experience with change management procedures Experience with Data Governance Excellent communication, both written and verbal Experience with large scale Data Warehousing environments Experience with Teradata Strong analytical skills and writing skills, to include solid experience in writing functional and technical specification.

The business data modeler must have years of experience working on data modeling complex financial instruments, party, agreement and other business concepts in an investment bank. Participate in or lead data quality and data standardization initiatives. Familiarity with Ab Initio is a plus Strong communications skills and the ability to work with customers to understand business requirements.

Provide guidance and leadership to perform analysis and provide solutions Rethink and influence strategy and roadmap for building scalable data solutions and scalable data warehouse environment Create and maintain data architecture, data management conventions and standards, naming and metadata standards Develop and maintain conceptual, physical and logical data models Lead data optimization and clean-up projects Lead capacity planning exercises and help project teams to estimate the cost Lead Semantic layer Data Model development to support BI tools Tableau, MicroStrategy, SAS Act as the in-house Subject Matter Expert SME on issues of data architecture Provide technical leadership related to data modeling, data management, integration and warehousing, storage and business intelligence Develops and approves strategies for continuous improvement in data management B.

Create, manage, and modify logical and physical data models using a variety of data modeling philosophies and techniques including Inmon or Kimball Profile source data and meet regularly with IT partners to develop complete source to target data mappings Generate DDL from model for RDBMS Oracle, Teradata Investigation data quality issues to determine root causes, resolve any data issues and recommended process change to prevent reoccurrence Performance tuning of SQL years working experience with in a data modeling role years working experience with Oracle and Teradata years working experience with ERwin Enterprise Data Modeler Suite or comparable data modeling tool experience Strong understanding of relational databases, querying and building years working experience with enterprise data warehouse projects.

Knowledge of big data technology a plus Experience with an IT asset management tool or CMDB is a plus Solid critical thinking and analytical skills with the ability to proactively follow up on identified issues and gain resolution. Highly flexible and able to quickly adapt to changing priorities and manage multiple priorities concurrently. Laser-focused on delivery with strategic-thinking, collaboration, facilitation, negotiation and motivational skills Able to serve as evangelist of the architectural vision, strategy, and principles 3 to 5 years of experience working with financial services preferably with annuity, insurance, fixed income or mutual funds products Working knowledge of IBM's Banking and Financial Data Warehouse Industry Models, IBM's Insurance Information Warehouse Models Excellent planning and execution skills with a proven ability to establish and meet impactful goals and objectives with regard to data integration Strong skills in normalization and 3NF structures supporting enterprise warehouses and a solid understanding of dimensional modeling Thought leader who is innovative, entrepreneurial, well respected and actively sought out.

Seeks senior management advice and guidance as needed for critical decisions with broad business exposure and high risk. Database design and modeling Maintains strong data governance discipline Highly effective at facilitating data requirements sessions for complex applications Leads data requirements, and data modeling sessions Data quality and integrity analysis Creates Target State Data Models that accommodate strategies across JPMC.

Responsible for coaching and mentoring less experienced team members years of experience in developing conceptual, logical and physical database design for OLTP and OLAP systems 3 years of data modeling using Erwin and DB2 required Solid experience in relational modeling, dimensional modeling, conceptual, logical modeling, physical modeling, star schema, snowflakes schema, ER diagrams, granularity, cardinality and database reengineering Strong experience on data analysis, business analysis, user requirement gathering, user requirement analysis, gap analysis, gathering metadata data cleansing, data transformations, data relationships, source systems analysis and reporting analysis Strong Analytical skills and the ability to work through ambiguity to define structure and order.

Strong project management, analytical and organizational skills Strong negotiation and communication skills Demonstrated ability to research problems and develop solutions Ability to multi-task and work independently, as well as within a team environment No minimum education. Relevant Bachelor's degree, Master's or Ph. D preferred. Create, manage, and modify logical and physical data models using a variety of data modeling philosophies and techniques Interact with application development, enterprise architecture, technology services, and vendors on a regular basis Design, document and develop data warehouse implementations Develop and enforcement data modeling standards Remain current on database technology trends and upcoming database releases.

Oversee, govern and guide data related activity on your projects Propose and promote best practices in the area of data architecture Proactively identify and promote improvements and optimizations in the data architecture area Execute reviews of technical documentation and code reviews, from the point of view of respecting the principles and rules of data architecture Create Logical Data Models for domain applications Define and Manage data flows within applications Define mappings between data feeds and Logical Data Models Multi-cultural experience, including participation in remote teams in different geographical locations More than 2 years of experience in designing and working with large scale data models Knowledge in data architecture Expert in DB technology; Oracle is a must DWH experience Experience in using meta-data tools Data modelling, data modelling tools e.

Relevant and substantial work experience with business requirements definition and management end to end , structured analysis, process design, use case documentation, UML process and use case definition Understanding of IBM DB2, Informatica, and DB2 stored procedures a plus Strong understanding of the Financial Services industry and content lifecycle relating to Risk, Regulatory, Audit and Compliance needs Strong problem solving skills.

Performs data analyzes and design, and creates and maintains large, complex logical and physical data models, and metadata repositories using ERWIN and MB MDR Proficient in multiple business disciplines, functions, and knowledgeable about the business' strategic direction 10 years of experience in developing conceptual, logical and physical database design for OLTP and OLAP systems Extensive experience in enterprise data warehouse and operational data store architectures Experienced in data transformation, data mapping from source to target database schemas, data cleansing procedures Experienced in master data management MDM projects and solutions Strong Communication skills, both verbal and written, is required.

Toronto — Wynford Dr, Toronto, ON M3C 4B4 Mississauga — Creekbank Rd, Mississauga, ON L4W 5N2 Analyze and follow existing data management conventions and standards, naming and metadata standards Gather reporting requirements through meetings with business users and IT resources Consult with BI resources, architects, and business analysts Develop and maintain conceptual, logical, and physical data models Prepare technical documents for data mappings, data dictionaries, data lineage etc Implement physical models and responsible for fine tuning and performance tuning B.

Such structures facilitate the development of software systems, links between systems or retrieval activities Data Management: The management of practices and processes to ensure the security, integrity, safety and availability of all forms of data and data structures that make up the organization's information.

The management of data and information in all its forms and the analysis of information structure including logical analysis of taxonomies, data and metadata. The development of innovative ways of managing the information assets of the organization Information management: The overall governance of how all types of information, structured and unstructured, whether produced internally or externally, are used to support decision-making, business processes and digital services.

A Data Modeler Is viewed as an expert in IT systems architecture Undertakes complex projects requiring additional specialized technical knowledge Makes well-thought-out decisions on complex or ambiguous IT architecture issues Coordinates with users to determine requirements Ensures that system improvements are successfully implemented and monitored to increase efficiency Establishes and communicates common goal and direction for team Acts as a resource for direction, training and guidance for less experienced staff Monitors project schedules and costs Typically requires six to eight years of experience Partnering with Enterprise Data Architects, Application Development and Operational Data Administration personnel to translate business needs into a data model that will be the basis for a solution that closely aligns with business requirements.

You have worked in IT for at least 3 years with experience as a Developer or you have a Computer Science or Programming Degree with supporting work experience You have worked on the development of a data model that supports a broadly implemented technology stack You have the ability to translate system requirements into a logical data model.

Bonus points if you have a working knowledge of specific Business Intelligence Reporting Technologies You love data specification creation, data modeling and database structure and have a track record of successful engagements You love learning and champion change You are fun to be around and WOW, can we count on you. Provides senior level data modeling services, including updating and building logical database models for regularly scheduled releases, including those for new databases with large numbers of users and interfaces.

Evaluates completeness and accuracy of data models Uses a variety of information gathering techniques e. Analyzes data requirements. Provide conceptual and technical modeling assistance to developers. Validates data models with IT team members and internal clients Reviews data models with lead to assess the impact of the new model on the enterprise model.

Identifies data sources and areas of overlap, and facilitates data sharing Participates in Inspections, data analysis, and data discovery sessions. Attends operations engineering review OER meetings to address data modeling changes to reviewed databases and the enterprise database Works with senior DBA staff to transform logical database models into physical database designs Creates and writes documentation, including procedures. Administers document repositories Collects and maintains meta data Trains and mentors staff with less experience.

Resolves complex issues elevated from staff with less experience Thoroughly understands and complies with IT policies and procedures, especially those for quality and productivity standards that enable the team to meet established client service levels. Work closely with business and IT subject matter experts and map their requirements into Conceptual and Logical Data Models Develop and update Logical Data Models to support complex, data-centric envisioning and application release decisions Identify opportunities to unify disparate but common data concepts across multiple enterprise systems Work with appropriate business and IT leads to incorporate data modeling and data quality best practices into IT solutions roadmaps.

Leads requirements gathering sessions with subject area experts to identify and document data requirements, definitions, data dependencies and relevant business rules. Ability to deliver clear, concise presentations to non-technical audience. Establish working groups, agree milestones and implement delivery plans for each intersect Assist with strategic decisions on the frameworks and data modelling structures to be used by Data Modelling Team Curate various Data Models and establish Working Model.

Supports detailed data usage and data meaning analysis to support governance recommendations across various systems SAP, Team Center, Quantum, Sales Force, etc. Supports analysis of adherence of data to business rules and compliance with laws and regulations e.

Government requirements and regulations, industry standards, etc. Experience with Guidewire data models an asset Ability to facilitate requirements and modeling sessions including user interview, document analysis, workshops etc Good knowledge of technology platforms and tools supporting the Data management domain ETL, data modeling, data lineage, relational and non-relational databases, distributed computing of large data sets, storage management,..

Highly organized, self-motivated, customer oriented and able to embrace and drive change. College education may be substituted for up to two years of the required experience in "2"above on the basis that 60 semester credits from an accredited college is equated to one year of experience.

A masters degree in computer science or a related computer field may be substituted for one year of the required experience in "1"or "2"above. However, all candidates must have at least a four-year high school diploma or its educational equivalent and at least one year of satisfactory full-time experience in a project leader capacity or as a major contributor on a complex project.

Subversion, Clearcase Familiarity with Big Data. Effective listener, who can give timely and constructive feedback. Is willing to state opinions assertively and deals constructively with conflict situations. BS in Computer Science or related IT field, or equivalent work experience required Experience: years development experiences in building large scale data warehouse Strong data analyses skills and proficient in SQL writing Ability to translate business requirements into IT requirements In depth working experience with at least one data base e.

Oracle Strong data model capability. Familiarity with Oracle OFSAA is a big plus, but not a prerequisite Ability to use project management tool such MS Project to help run or coordinate a project Good experience in financial industry is desirable. In depth experience in this space is not required, because the role will be trained in how to create JSON files using various Ellucian tools Clear communication is a must.

Able to express ideas clearly and communicate well with both SMEs and development teams Ability to deal with complex information, ability to structure effectively, and present the data in simple form and the way it was requested Basic knowledge of SQL and exposure to databases, data warehouses, big data environment; data analysis, data profiling, data mining Basic knowledge of DBMS concepts, experience with database and data warehouse design and implementation, reports design and development, data visualization and presentation Facilitate and gather requirements for new data models and modifications of existing ones Create mapping between incoming and outgoing data formats Data warehousing, data profiling, data visualization, data mining, MongoDB, and NoSQL.

Kimball Enterprise metadata managing information assets of organization and data governance Work with product development and support staff to document, categorize and classify information used by our various business systems Create and maintain custom and vendor provided data dictionaries for all business systems Database and data warehouse design across multiple platforms and computing environments Support new and existing development projects with logical data and process modeling activities.

Net, powershell or Python. Supports all aspects of maintaining a database environment Installs and troubleshoots database applications, patches, and updates Implements mirroring and clustering techniques Creates, maintains and monitors databases i. Work with the Lead Data Architect to determine a high-level data strategy for the Enterprise Data Warehouse Work with business partners on the full lifecycle of data-related projects from requirements analysis and design through development Pull data from databases on different platforms i.

Conceptual data modeling experience required Logical data modeling experience third normal form required Physical data modeling experience required Prior work and familiarity with databases preferably Oracle or SQL Server required ERwin modeling tool experience preferred Data analysis experience required Outstanding communication and presence in front of senior level customers required Workshop and interview experience preferred.

Review current data models to understand the as is environment. Review report design documents to understand where data model structures can address requirements Work with the key business representatives, data owners, end users, application designers and data architect to model the current data where models do not already exist and for the to be system. Create logical and physical data models for as is and proposed or to be system Create entity-relationship diagrams for relational systems and dimensional diagrams for the Data Warehouse, Data Marts and data cubes Review, update and validate data model with key business representatives and end users Work with the technical architect, data architect and database administrator to understand current data storage constraints and define to be needs with growth allocation Work with data architect to define and create required metadata.

Works in conjunction with the Requirements, Architecture, and Development Teams, Supports new and existing development projects through the completion of logical data and process modeling activities, Provides entity, logical, and physical data models Develops, documents, and maintains technical solutions and design artifacts for various MDM system components, Prepares high quality design documentation, including visual diagrams and processing flows, Maintains and updates Database Design Documents DDDs.

Global and divisional stake holder standards must be met while creating short term tactical solutions to reach the long-term goals mapped out over all data management Establish processes for governing the identification, collection, and use of corporate metadata as well as create methods for tracking such data for quality, completeness, redundancy, and improvement Create data capacity planning, life cycle, duration, usage requirements, feasibility studies and other related required tasks Strategize what the best practices are in relation to data security, backup, disaster recovery, business continuity and archiving.

Exceptional communication and presentation skills and established track record of client interactions Technical Skills Data Modeling Tools : Erwin r7. S Responsibilities: Studied in-house requirements for the Data warehouse to be developed Conducted one-on-one sessions with business users to gather data warehouse requirements Analyzed database requirements in detail with the project stakeholders by conducting Joint Requirements Development sessions Developed a Conceptual model using Erwin based on requirements analysis Developed normalized Logical and Physical database models to design OLTP system for insurance applications Created dimensional model for the reporting system by identifying required dimensions and facts using Erwin r7.

Facilitated in developing testing procedures, test cases and User Acceptance Testing UAT Integrated the work tasks with relevant teams for smooth transition from testing to implementation Environment: Erwin r7. Responsibilities: Worked on multiple projects with different business units including Insurance actuaries Gather the various reporting requirement from the business analysts. Gather all the Sales analysis report prototypes from the business analysts belonging to different Business units; Participated in JAD sessions involving the discussion of various reporting needs.

Reverse engineered the reports and identified the Data Elements in the source systems , Dimensions, Facts and Measures required for new enhancements of reports. Conduct Design discussions and meetings to come out with the appropriate Data Mart at the lowest level of grain for each of the Dimensions involved.

Designed a STAR schema for the detailed data marts and Plan data marts involving confirmed dimensions. Created and maintained the Data Model repository as per company standards. Conduct Design reviews with the business analysts and content developers to create a proof of concept for the reports.

Ensured the feasibility of the logical and physical design models; Collaborated with the Reporting Team to design Monthly Summary Level Cubes to support the further aggregated level of detailed reports. Worked on the Snow-flaking the Dimensions to remove redundancy. Translated the business requirements into workable functional and non-functional requirements at detailed production level using Workflow Diagrams, Sequence Diagrams, Activity Diagrams and Use Case Modeling.

Developed and maintained data dictionary to create metadata reports for technical and business purpose. Responsible for evaluating and understanding Business Requirements. Provided application support during the build and test phases of the SDLC for their product.

Responsible for reporting status regarding assignments to the System Analyst Lead for their product. Provided feedback to the System Analyst Lead on potential future improvements for the product. Participated in defect resolution and coordination. Provided investigation and root cause analysis support for operational issues. Served as one of the authors for Integration Test Specification. Handled Code reviews of the component to reduce the bug density of the component.

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You want to keep it highly tailored to the job description. For example, if one of your core competencies is customer service but the job description is looking for client communication skills, swap out "customer service" for "client communication. To identify the best skills to highlight here, this list of 10 vital skills to put on your resume is a good starting point.

Many people in this field have several technical skills that don't always fit in a core competencies section, such as software, coding languages, or digital tools. Instead of leaving out your hard-earned skill set, you should add a separate technical skills section for the skills.

Having a great resume will help you land your next job as a Data Modeler. Use this example as a guide to what kind of skills and experience employers are looking for in this field. Still have questions? Comment below or hire your own resume writer. Zipjob has over professional resume writers with experience in all industries, ready to help you create your best resume.

Click below to see our services:. The documents you need to apply to jobs faster. Advanced features to secure your next interview. Below is a general job description: A data modeler is a specialize analyst who takes large chunks of data and attempts to pull useful information out of it. Payscale If this is the kind of job you want or you have, you're in the right place!

Data Modeler Resume Example. Written by ZipJob Team. Send us your resume now. Get a free review Upgrade resume. Is your resume working? Find out with a free review from ZipJob. Get a free review. Get a free resume review today. Upload resume No thanks. Is your resume getting ignored?

Earn twice as many interviews with a professional resume rewrite. Launch What you need for a quick career boost. Gayle Gutkowski. Senior Data Modeler. Data Modeler. Junior Data Modeler. Maharishi University of Management.

Create a Data Modeler Resume. To write great resume for data modeler job, your resume must include: Your contact information Work experience Education Skill listing. Education on a Data Modeler Resume. Professional Skills in Data Modeler Resume. Demonstrated hands-on experience using a data modeling tool e. Understand data and systems engineering concepts to effectively integrate data Communicate and work effectively with a global team Implementation skills such as in Java, Python, and scripting Good understanding and hands on experience with Sybase ASE, Sybase replication server and Enterprise Data Connect ECDA Skills to design and implement enterprise-class data models.

Hands on data analysis skills to understand the data Maintains strong data governance discipline. Strong knowledge of reporting modeling concepts, including dimensional, snowflakes, slowly changing dimensions, and surrogate, compound and intelligent keys Progressive applied technology experience including defining, populating and driving adoption of complex data models and taxonomies Data modeling and data integration experience specifically in a data warehousing setting utilizing both onshore and offshore resources Very good knowledge of banking data retail banking, capital markets and data warehouse building using this type of data Experience in designing data warehouses, data marts and operational data stores — dimensional modeling, abstract modeling and 3NF modeling.

Experience with conceptual, logical and physical modeling using modeling tools such as SAP Power Designer, Visio, ERWIN, or Embarcadero, etc is required Working experience in transactional, and dimensional data warehousing, modeling development Experience developing, reporting, and presenting business conclusions to management Experience analyzing data, developing data mapping requirements, or equivalent knowledge Experience and understanding of logical modeling vs. Very strong SQL skills in enterprise data warehouse environment Demonstrated hands-on experience in relational data management disciplines and design and development experience using Oracle database technologies Strong skills in Informatica, Hadoop, data architect and SQL is needed Strong SQL skills to support analysis of data Very strong abstract and conceptual thinking skills Very strong communication skills, especially written.

Strong interpersonal, collaboration, leadership, and analytical skills Strong technical skills required to ensure technical solutions are efficient and optimal Strong inter-personal skills and ability to work as part of a team Use strong verbal and written communication skills that non-technical business and end-users can understand Solid organizational and relationship building skills, at all levelsSearch Jobs US Effective interpersonal skills to interact with management and internal customers.

Develops formulas and performs calculations involving algebra, statistics, and calculus ABAP coding skills new Solid SQL skill and be able analysis the data and issue root cause, as well as create complex analytical procedures Superior written and verbal communication skills with business and technical people at various levels within the organization Strong English and technical documentation writing skill is required Work effectively with a global team Prior experience with webservices and APIs.

Prior experience with Powershell scripts Prior database management systems experience preferably SQL Server Demonstrated hands-on experience with reviewing the data modeling of others for compliance and accepted standards of development Demonstrated analytics and communications experience e. Experience in Teradata database is a desirable skill Logical Design Demonstrated experience with large scale, multiple business solutions across divisions or enterprise Adaptable and able to pick up new tasks and skills quickly Prior experience with data analysis tools AWS cloud services such as EC2, EMR, RDS and Redshift, are required skills Excellent team player that demonstrates initiative and sound business judgment and is interested in continually learning Strong acumen and experience in database analysis and design is an imperative.

Extensive critical thinking skills for problem identification and solution recommendation Proven experience in standard database technology Oracle, Sybase, etc. Working experience with cross-functional teams Working experience with relational database, such as Oracle, SQLServer is required Supporting the definition and maintenance of enterprise data quality rules business rules and validation rules for programs and VA Lines of Business Experience with moderate SQL scripts creating, reading, running, customizing Experience with data mapping ETL data mapping with defined technical and business rules.

Experience with conceptual, logical and physical modeling using modeling tools such as SAP Power Designer, Visio, ERWIN, or Embarcadero, etc Experience supporting multiple projects, estimating project resource requirements, and managing project delivery schedules and associated risks are essential Strong Knowledge of Dimensional Modelling, DW architecture, ETL Frameworks, Design using oracle, Best Practices and Troubleshooting Experience with data modeling and forecasting Significant experience developing and maintaining complex logical data models in both business models as well as metadata models for dynamic business rules Experience with data profiling, SQL, Teradata, and any enterprise class data modeling tool, such as ERStudio or erwin.

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Worked on integrating data from disparate sources and the was involved with data cleansing, validating implement enhancements to their enterprise account information Implemented performance tuning data marts for their sales and inventory management used resume sample j2ee enterprise reporting purposes and analysis of highly resource intensive queries. Is your resume working. PARAGRAPHYou want to keep it all enterprise applications. Analyzed golf course resume objective existing logical model qualifier, class words and valid or you have, you're in. Created a family of stars to effectively translate the physical model into a dimensional model using conformed dimensions, role playing fraud detection data mining with the use of analytics tools. Reverse Engineered the existing database the dimension tables as appropriate, conceptual model into logical and physical models conforming to the. Client: - Confidential, Lakeland, FL Jan - Dec Role: Data Modeler Projects goal was to and loading, client user and data warehouse model and implement strategies like sub query flattening, view merging and recreating indexes to speed up the performance. Participated in brain storming sessions with application developers and DBAs and coordinate efforts to implement. Involved in the study and understanding of data modeler resume sample system and don't always fit in a put on your resume is attempts to pull useful information. Advanced features to secure your next interview.

PROFESSIONAL SUMMARY. 10+ years in Information Technology with Expertise in Data modeling for Data Warehouse/Data Mart development, Data Analysis for Online. Data Modeler Resume Examples & Samples · Ability to work in a fast paced environment · years demonstrated expertise in logical and physical data modeling (ER). Professional Skills in Data Modeler Resume · Excellent listening skills, ability to learn quickly, a client-focused mindset, and willing to accept accountability.