Data Expert Resume Samples

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G Hermann

Gordon

Hermann

787 Wunsch Turnpike

Detroit

+1 (555) 249 0959

787 Wunsch Turnpike

Detroit

Phone

p +1 (555) 249 0959

Experience Experience

Detroit, MI

Data Expert

Detroit, MI

Torphy, Parisian and Spencer

Detroit, MI

Data Expert

Develops strategies and processes for data implementation, data acquisition, execution, reporting and archive recovery
Manages data assets that are in compliance with data governance standards, policies and processes. Develops strategies for data implementation, data acquisition, and archive recovery
Structures the environment and creates logical storage units especially for size and physical locations, to map database elements into logical units
Resolves data integration and security issues for adherence to the organization’s quality standards
Financial Services exp
Hadoop/ Big Data, SAS Grid, R, Python
Base SAS, SAS EG, Proc SQL, SAS Macro

San Francisco, CA

Market Data Expert

San Francisco, CA

Dicki, Will and Beatty

San Francisco, CA

Market Data Expert

Maintain regular contact with pricing providers such as SIX Financial Information, Bloomberg, Reuters and other internal and external data providers
Ensure that risk issues (both current and emerging) are escalated promptly to managers
Design systems enhancements and perform the User Acceptance Testing (UAT) activities across the instrument reference data applications
Work in conjunction with individuals on the team as well as other shared services/COEs, India and Operations Department to ensure seamless processing
Leading and co-leading improvements projects in order to increase process effectiveness and decrease the risks accordingly to Lean Six Sigma Methodology
Ensure that risk issues (both current and emerging) are reported promptly to managers
Support Team Leader during audit controls, calls/meetings with stakeholders, data vendors

present

Houston, TX

Proprietary Data & Tools Expert, Team Manager

Houston, TX

Homenick, Jones and Schinner

present

Houston, TX

Proprietary Data & Tools Expert, Team Manager

present

Lead sub-set of India-based benchmarking analysts to provide leverage and support for current proprietary data and tools owners managing workflow and output for benchmarking activities
Hire, train and provide ongoing line management for product, development and data team – from junior staff to experts
Proactive identify areas for improvement through enhanced efficiency, increased standardization, synergy with other efforts, and or potential disaggregation of activities
Provide mentorship and guidance to junior team members, assist in their professional development, on boarding, and continuous training
Lead a team of analyst and developers to create new products and provide service execution support to existing and new products
Partner with practice area as they look at developing new proprietary data and tools to manage and own all non-content related activities
Encourage and drive best practices in data and product management

Education Education

Bachelor’s Degree in Operations Research

Ashford University

Bachelor’s Degree in Operations Research

Skills Skills

Knowledge of tools, techniques and practices in data mining technologies used to acquire essential business information
Basic Office Tools
Documentation
DataWarehouse exp
Financial Services exp
Base SAS, SAS EG, Proc SQL, SAS Macro
Base SAS, SAS EG, PROC SQL, SAS MACRO
SQL, Unix
Hadoop/ Big Data, SAS Grid, R, Python
Production Coding and procedures

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15 Data Expert resume templates

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Data Analyst Expert Resume Examples & Samples

Strong mathematical and statistical background (modeling, statistics, analytics, math)
Fluent in statistical analysis, data mining, and machine language
Experience in solving analytical problems using quantitative approaches
Experience in data engineering, pattern recognition and learning, advanced computing, uncertainty modeling
M.S. or Ph.D. in a relevant data science or operations research field or 5+ years relevant experience

Idnet IT Data Expert Resume Examples & Samples

Plan the analysis project in consultation with the audit team
Work with clients to extract data
Work with local and globally located talent hubs to efficiently deliver standard, high quality data analysis
Present findings and offer solutions to data related issues
Liaise with internal teams to discuss validation and analysis findings to better understand client behaviour
Develop systems skills on a range of client ERP/ financial systems
Manage and coordinate a client portfolio
[Analyse complex data including bespoke analysis]*
[Identify opportunities for further work and areas of interest/ added value to clients]*
Proven analytical skills working with financial and non-financial data
Proven ability to form relationships with internal and external clients
Proven ability to deal well with high pressure situations such as frequent deadlines
Proven ability to solve problems and offer solutions to new and challenging situations
Proven ability to manage time effectively including when working with a portfolio of clients
Strong communication and influencing skills
Project management experience – managing multiple projects with conflicting demands, timeframes and stakeholders
Strong writing and oral communication skills, including presentation & soft skills for communicating with senior management, working in project teams and with clients
Sound working knowledge of MS Access/MS SQL Server/ SQL Server Integration Services and/or other database and analytical tools
Experience of audit and financial accounting processes/systems preferred
Experience of visualization tools preferred, including Spotfire, Tableau and/or Qlikview
Relevant where we are recruiting more senior IDNET Experts with intention of performing non-standard analyses e.g. bespoke analysis on G360 engagements

Data Visualisation Expert Resume Examples & Samples

Developing ETL solutions
Ensuring data quality
Supporting the advanced analytics team by preparing data sets
Developing Data Visualisations using Tableau, Qlikview and SAP
An understanding of advanced analytic techniques highly regarded
Strong SQL technical abilities
Knowledge of tools such as Python, R or SQL
Experience working with a range of data platforms (SQL Server, Oracle, TeraData)

Data Expert Resume Examples & Samples

Manages data assets that are in compliance with data governance standards, policies and processes. Develops strategies for data implementation, data acquisition, and archive recovery
Helps advise business, applications and operations counterparts to ensure data integrity and availability
Structures the environment and creates logical storage units especially for size and physical locations, to map database elements into logical units
Develops strategies and processes for data implementation, data acquisition, execution, reporting and archive recovery
Resolves data integration and security issues for adherence to the organization’s quality standards
Base SAS, SAS EG, Proc SQL, SAS Macro
Hadoop/ Big Data, SAS Grid, R, Python
SQL, Unix
DataWarehouse exp
Financial Services exp
Knowledge of tools, techniques and practices in data mining technologies used to acquire essential business information
Knowledge of and the ability to use tools and techniques for analyzing and documenting logical relationships among data, processes or events
Knowledge of and the ability to manage an organization's architectures, data resources, polices, practices and procedures to appropriately and effectively address business and stakeholder's needs
Knowledge of and ability to use tools, controls, techniques, established principals and standards to ascertain the quality, effectiveness, security and accuracy of information systems

Data Expert Resume Examples & Samples

Base SAS, SAS EG, PROC SQL, SAS MACRO
UNIX/Linux, Shell Scripting (in order of preference: Korn, BASH, Bourne)
SQL-based RDBMS (Teradata preferred; DB2, Oracle, and SQL Server acceptable)
Documentation
Basic Office Tools
Production Coding and procedures
Solaris, Red Hat Linux, SAS Grid, Hadoop, R, Python
Source Code Control familiarity (Harvest preferred, SVN, or others acceptable -- familiarity with concepts more important than specific tool)
Trillium V14/V15 especially with Address Standardization and Validation
Previous ETL experience (SAS, Informatica, Hadoop tools, etc
Job Scheduling tools (prefer tools other than cron/crontab or Windows Scheduler -- CA7, Control-M, etc.)
Process automation and productivity exposure

Senior / Expert Data Engineer Resume Examples & Samples

As Senior / Expert Data Engineer, you will be expected to work with data scientists, product management and business to develop the data architecture and infrastructure, manage all data sources internal and external, and implement production tools at scale
1) experience as database architect including performance and scalability
2) practical knowledge of working with scalable platforms for processing of huge data sets and
3) ability to understand the data, associated processes and business implications,
4) implementing machine learning algorithms at scale
Proficiency in statistical data analysis and data mining packages SAS, SPSS, MatLab, R, STATA, Excel, etc
Worked with TeraData, Oracle, MySQL, Informatica, Tableau, QlikView or similar reporting and BI packages
Familiarity with performance metric tools

Data Expert Resume Examples & Samples

Supports the Teradata Platform, Enterprise Data Warehouse, Power 1, and the Wholesale Bank Data Warehouse
Solid interpersonal and organizational skills with the ability to collaborate well across teams / organizations
Strong business analysis and data analysis capabilities
Experience with writing business and technical documents/requirements
Supports LOBs and Technology teams in translating business needs, processes and/or procedures by partnering with applicable experts and business stakeholders to determine and articulate needs
Drives out identifying the business requirements needed for enterprise consumption; leads enterprise requirements and consumption initiatives
Provides support with defining, prioritizing, planning and forecasting scope of scheduled releases with technical teams
Supports data validation efforts for release scope testing, production validation, and OBIEE reports
Assists with the Enterprise Information operating group meetings with meeting material preparation, publishing meeting minutes, and facilitation
Knowledge of and the ability to manage an organization’s architectures, data resources, polices, practices and procedures to appropriately and effectively address business and stakeholder’s needs

Data Analyst Expert Resume Examples & Samples

Deep knowledge of stakeholder (GIP and BU) information needs and equip GIP to meet these needs
Provide process improvement consultancy to organization to enhance operational efficiency at manager level
Provide strategic counsel to GIP’s managers on communicating GIP's data driven contributions/story
Drive and advance GIP’s status as a thought leader, supporting GP’s overall strategy and business objectives
Demonstrates influencing and communication skills to drive effective outcomes, including the ability to engage, advise, and influence at manager level
Support or lead project teams with reporting/process expertise
Meet and interlock with GIP managers to understand business priorities and translate them into strategies and solutions
Develop a broad understanding of horizontal business processes, tools, and models to ensure end-to-end business enhancements
Make recommendations on risk mitigation, business continuity, cost management and operation strategies
Maintain appropriate level of communication with stakeholders regarding project status and progress
Apply lean six sigma concepts and/or project management principles to moderately complex projects

Data Discovery Expert Resume Examples & Samples

Proven expertise of data analysis and data discovery analytical in a Health and research environment
Strong communication skills and the ability to transform complex analytical facts into relevant information for stakeholder leads
Deep understanding about the evaluation and implementation of innovative analytical technologies in particulate in the Health environment
Envision the power of autonomous analytical technologies including machine learning and it application to health data
Understanding the power of advanced analytics, language processing and artificial intelligence and its benefit for patients

Expert Data Resume Examples & Samples

Education - Typically requires a Bachelors Degree and minimum of 8 or 9 years directly relevant work experience - Note: One of the following alternatives may be accepted: PhD or Law + 6 yrs; Masters + 7 yrs; Associates degree + 9 yrs; High School + 10 yrs
5+ years of professional development experience between either Python (preferred) or Scala/Java; familiarity with both is ideal
3+ years of experience with the HDFS ecosystem of tools (any distro, Spark experience prioritized)
Direct task development and/or configuration experience with a remote workflow orchestration tool – Airflow (preferred), Amazon Data Pipeline, Luigi, Oozie, etc
A demonstrably strong understanding of security and credential management between application / platform components
A demonstrably strong understanding of core considerations when working with data at scale, in both file-based and database contexts, including SQL optimization
Direct experience with Netflix Genie is another huge plus

Market Data Expert Resume Examples & Samples

Ensure the price valuations are controlled and available to meet daily deadlines and requirements of downstream applications (price tolerance reports, review of pricing attributes and associated corporate actions, steal price report, etc.)
Maintain regular contact with pricing providers such as SIX Financial Information, Bloomberg, Reuters and other internal and external data providers
Work in conjunction with individuals on the team as well as other shared services/COEs, India and Operations Department to ensure seamless processing
Cross-divisional and cross regional collaboration with SMEs and globally based stakeholders
Understand the key operational risks and associated controls
Follow all business unit operational procedures and other directive controls

Proprietary Data & Tools Expert, Team Manager Resume Examples & Samples

Lead sub-set of India-based benchmarking analysts to provide leverage and support for current proprietary data and tools owners managing workflow and output for benchmarking activities
Fully document existing processes and intellectual capital to ensure complete continuity in the event of a change in product owner
Proactive identify areas for improvement through enhanced efficiency, increased standardization, synergy with other efforts, and or potential disaggregation of activities
10+ years of relevant experience in the field of business intelligence, IT development, ETL and/or data analysis domains
Product development experience strongly preferred
Demonstrated strong organizational and teaming skills
Successful experience building and managing small teams
Coding/development abilities (SQL, Microsoft SSIS/SSAS, VBA, etc.)
Exceptional organizational, planning and project management skills – exhibiting attention to detail, follow-through, and accountability
Ability to work independently or virtually, as well as, in a team environment
Excellent interpersonal and teaming skills, able to work well with senior BCG members and peers
Fluent in English, additional languages would be a plus
Professional, service oriented, proactive and flexible
Ability to work well under pressure in a fast passed environment while demonstrating high level of maturity
Some travel may be required (less than 30%)

Data Expert Resume Examples & Samples

Advanced degree in information systems, computer science or closely related field
5-7 years of hands-on experience in business intelligence or IT management role in corporate or consulting setting
Strong academic qualifications, including advanced understanding/coursework in database management and math (Linear Algebra, Calculus)
Advanced programming skills in Java, Python, R, C++, C#, etc
Hands-on experience with restful APIs – both creating and utilizing in ETL processes – is strongly preferred
Exceptional analytical and quantitative problem-solving skills

Data Expert Resume Examples & Samples

Working knowledge of Operational Risk
Understanding of controls for purposes of compliance, oversight, reviews and challenge
Understanding of Lines of Defense functions, roles and responsibilities
Ability to perform testing and clearly document gaps and findings
Demonstrated ability to adapt to a fluid environment
Experience developing or enhancing business processes to adapt to changing regulatory and organizational needs
Experience identifying potential audit issues
Familiarity with eGRC and MS Office Suite

Ediscovery Data Retrieval Expert Resume Examples & Samples

Provide technical support for the wider (eGRS) eDiscovery Global Restore Services team for retrieving data from Home and Group shares
Retrieving and providing data from Home and Group shares globally
Providing Ad Hoc support to other teams when required
Monitor queue, prioritize work to meet agreed SLA's
Monitor queue, proactively manage \ escalate issues that could affect SLA's
Handle queries & escalations in professional, time driven, quality driven manner
Provide process improvements using automation solutions using your scripting knowledge and data collection experience
Build key relationships and partnerships with internal stakeholders in a high pressured and challenging environment
Good NetApp skills
Basic powershell knowledge
TSM and Backup knowledge
FSU knowledge including DFS, Share and permissions
Good documentation skills
Experience in a technology based eDiscovery environment (either in-house or at a vendor)
Strong communication skills, enabling you to engage others based on your experience and knowledge
An understanding of the inherent complexities of data collection and preservation
Energy and drive to continuously challenge and improve the current performance of the organization
A highly organized, reliable and disciplined approach to work
Excellent client relationship skills with which to proactively manage client expectations
Excellent-decision making skills, analytical, and problem solving abilities
The ability to easily and seamlessly share information, transfer knowledge and expertise to peers and internal clients
Bachelor Degree educated from an accredited college or university with a concentration in IT or Computer Science related discipline (equivalent diploma or technical faculty)
A self starter evidenced through assertive and pro-active behaviours
An exceptional team player

Data Analyst & Continuous Improvement Expert Resume Examples & Samples

Team player and capability to work with Global team structure
Proficient Knowledge in excel
Problem solving skills
Desired: Familiarity with Statistical Analysis modeling languages and excel automation, such as R, Mathlab, excel macros
Bachelor's Degree in Industrial Engineering or Statistics

Administrative Data Analyst / Excel Expert Resume Examples & Samples

Ability to create “client/business-ready” PowerPoint decks
Ability to deliver “completed staff work”
High level of interpersonal skills ( serves as a key liaison between supervisor and numerous contacts); able to build rapport, be approachable, resourceful, and responsive
Service Orientation
Working knowledge of business / financial acumen
At least 1 to 3 years of spreadsheet/data entry/data analysis experience
Work experience in the administration of HR or Business processes or programs
Able to function efficiently in a fast-paced work environment (taking initiative, working independently and handling multiple priorities)

Data Modeling Analyst Expert Resume Examples & Samples

Collaborate with internal and external clients to determine the appropriate analysis parameters and performance measures to be applied, as well as requirements for decision tool and strategy implementation and monitoring
Candidate will be located in Costa Mesa, Atlanta or Carmel. Possible remote
Minimum of 5 years of statistical modeling / data analysis experience including data manipulation experience preferably using SAS, R, Python, SQL
Demonstrated ability to communicate ideas and analysis results effectively both verbally and in writing to both a technical and non-technical audience
Excellent communication, organization, interpersonal and presentation skills

Data Power Expert Resume Examples & Samples

5-10 Years of overall IT Experience
Designs, implements, configures, and manages of solutions within the supported technologies, products, and services
At least 5 Years of Experience in Datapower, IIB, SOA/Webservices and Messaging (JMS /MQ ) of which 2 Years as an Integration Developer
Knowledge of EAI /SOA/IIB Design Patterns and Best Practices
Experience Core Java /J2EE, XML /XSLT
Bachelor's degree in Computer Science, Information Systems or related field
Minimum 5 years software development experience developing solutions on the Microsoft Platform

Proprietary Data & Tools Expert, Team Manager Resume Examples & Samples

Lead a team of analyst and developers to create new products and provide service execution support to existing and new products
Hire, train and provide ongoing line management for product, development and data team – from junior staff to experts
Provide mentorship and guidance to junior team members, assist in their professional development, on boarding, and continuous training
Encourage and drive best practices in data and product management
Work with business stakeholders to set standards for BCG proprietary data and tools
Partner with practice area as they look at developing new proprietary data and tools to manage and own all non-content related activities
Work closely with PDT and IKA leadership to integrate operations and support the global PDT business
Take the lead on responding to requests from PA teams, assigning them to appropriate resources to leverage existing data and create new queries/outputs as needed
Promote innovation by recognizing new concepts in data management and implementing them in BCG's proprietary data and tools processes
Support other PDT and CKA initiatives as needed
10+ years of relevant experience in the field of business intelligence, IT development, product development and/or data analysis domains
Signficiant Product development experience strongly preferred
Successful experience building and managing teams
Ability to work in global matrix content
Strong communications skills – both with stakeholders and teams
Some travel will be required (less than 30%)

Product Data Expert Resume Examples & Samples

Provide data analytics from (Morningstar, Bloomberg and Aladdin) monthly and quarterly to support key messaging to support team initiatives around smart beta, core, fixed income, single countries, sustainable and international
On a monthly basis, provide data updates for all marketing collateral to the global product marketing team (US and EMEA), including product briefs, investor guides, suite brochures and web data
Update monthly web dashboard, US and EMEA product marketing dashboards
Maintain and evolve SPIN, Sales Library/MyWorld and iDox to centralize resources for internal partners
Update global products lists on a monthly basis and as new products are launched. Participate in delivering a long-term automated solution for updating and accessing our product lists
BA or BS required; major in Accounting, Economics, Business, Finance or related fields preferred
Expert with computer applications including Excel, PowerPoint and Word
Ability to write/edit
Strong self-motivation and ability to lead work streams relatively independently
2-3 years related experience in the Financial Services Industry preferred
Knowledge of Bloomberg and Morningstar preferred but not essential
Strong PowerPoint skills, ability to create charts/graphs and think creatively about how to show information in a simple manner. Experience in InDesign and Illustrator an advantage but not essential

Data Product Expert Resume Examples & Samples

Plan and execute against an assigned quota within a defined territory, maintain an appropriate sales pipeline, and produce accurate and timely business forecasts based on your activities
Promote data products within the sales force; be the trusted data specialist and create business
Work directly with the data insights team to identify client needs and map their business challenges to Forrester’s capabilities
Develop and present customized value propositions based on identified prospect needs and promote our syndicated and custom data solutions to potential clients
Lead client communications during proposal walk-through discussions and drive the client decision process to closure
Successful sales experience in complex sales environments
Experience selling consumer/business research, data, data services and/or analytics to marketing and strategy executives at leading B2B or B2C brands
A successful track record of driving sales of primary or syndicated market research data or services, including creating and identifying business opportunities, developing and winning business, and working through the client’s procurement process
Superior communication and collaboration skills, with the ability to sell externally as well as internally
Effective organization and time management
The ability to collaborate across multiple internal organizations to meet the needs of the client
Demonstrated leadership success in a team-selling environment
A B.S./B.A. degree
A willingness to travel as needed

Data Synthesis & Analysis Expert Resume Examples & Samples

5+ years of experience with operations research and data synthesis or analysis
Knowledge of military equipment or systems
Ability to develop new products and engage with the government client and subject matter experts
Secret clearance required
BA or BS degree in Operations Research
10+ years of experience with operations research and data synthesis or analysis
Knowledge of military communications or navigation systems
Knowledge of DoD processes and missions
Possession of excellent oral and written communication skills, including forging new paths where none exist
TS/SCI clearance preferred
MA or MS degree in Operations Research

Data Center Service Expert Resume Examples & Samples

Data Center demand & capacity management
Incident, Problem, Change Mgmt., Continuous Improvement, Knowledge Mgmt
Data Center Security
Knowledge of Data Center Management tasks
Cloud mindset
Expert knowledge of ITIL
Project Management, able to lead cross function international projects
Fluent English and German verbal and writing
Good understanding of IMAC-D processes
Knowledge in Data Center Demand and Capacity Management
Knowledge of Data Center Equipment (Compute, Network, Storage)
Knowledge in hardware maintenance
Presentations to senior leadership
Minimum 6 years of experience in IT Infrastructure and/or Data Center Management

Data Management & Emis Expert Resume Examples & Samples

Data collection & analysis, monitoring and evaluation
Statistical analysis and data management in the education sector
Design, management and use of educational data for planning and decision-making
Education sector Management Information Systems
Capacity building of MEHE staff
A Master’s-level degree in education, statistics, or a relevant field, from an accredited university is essential
Significant experience in implementing education programmes in complex education systems – experience in the Middle East and at international level would be an asset
Must have extensive experience in data management and Education Management Information Systems and operating at very senior levels
Experience working in a technical capacity in the areas listed above in a project management or leadership role. Experience of navigating complex political structures as part of technical support provided
Experience in training and capacity building of high-level officials
High level of interpersonal skills, flexibility, experience working on a team and across different levels within the government bodies in Lebanon
Oral and written fluency in Arabic, English or French (possession of at least two of these languages would be an asset)
Experience working with systems that support refugee children in the education system of middle or high income countries or underprivileged children would be an asset

Data Product Expert Resume Examples & Samples

Experience selling consumer/business data or data services to marketing and strategy executives at large corporations
Familiarity with the language and fundamentals of market research, including offline versus online survey panels, household versus individual samples, and primary versus syndicated research benefits
Strong communication and presentation skills for both internal and external clients
Effective organization and time management skills

Git-big Data Expert Resume Examples & Samples

To satisfy demands concerning Big Data projects & capabilities of different nature, such as analytical use cases implementation, batch and streaming data ingestion & transformation processes and visual reporting and analytical solutions
To lead the application and execution of technological solutions for BI Projects, with deep analytical understanding of business needs, aligned to Global Architecture recommendations and analyzing trends and new approaches
To deliver efficient BI & BigData solutions and services according to agile and continuous delivery methodologies
Provide excellent customer experience for technical solutions delivered through agile deployment approaches and strong communication skills with customers
Focus on service delivery satisfaction, considering Time and Quality
Analyse and design technical solutions to solve or prevent performance, security or functionality issues regarding the BigData cluster, analytical tools or SW components implemented
Guarantee operation ensuring the continuity of the business process
Technically design and deliver Bigdata architectures, according to functional needs and scalability and performance requirements
Ensure that the solutions delivered to OBs and Corporate Customers are suitable to the business needs and process that are supporting
To supply platforms, service, software, support, and delivery services for Bigdata Use cases
To continuously evaluate and adopt new technologies and tools emerging in the BigData landscape, enabling innovation capabilities for Telefonica
Analyse, evaluate, and manage new opportunities and projects’ scope
Hadoop ecosystem (preferably Horton Works) and Administration (Ambari)
Hdfs, Pig, Spark, Hive, Oozie, Atlas
Flume/Ni-fi, Sqoop, Kafka (ingestion)
Ranger, Knox, Kerberos (Security)
Linux O.S. (Suse, RedHat, i.e.) and Windows
Ability to work in DevOps, Continuous Delivery and Agile methodologies (Scrum / Kanban)
Tools: Jira, GIT, Jenkins, Ansible
Dockers and Open Stack (desirable)
Analytic Tools and Visualization (Tableau/Microstrategy)