Data Miner Resume Samples

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M Huel

Maddison

Huel

980 Strosin Common

Dallas

+1 (555) 304 0858

980 Strosin Common

Dallas

Phone

p +1 (555) 304 0858

Experience Experience

Boston, MA

Data Miner

Boston, MA

Bernier LLC

Boston, MA

Data Miner

To be understand problems with all types of software application and work with the System team to help make corrections
You will also ensure that best practices in metrics and decision making are being exposed to the BU management and core business decision makers
Manage the Data warehouse and provide database and data mining technical support
The responsibilities of the role fall into three main functions: Technical Data Management, Report & Warehouse Design and Management Reporting
To be the focal who will assist customers with administrative assignment of User Names and Passwords
To facilitate loading of data from other sources: cabin log books, task cards, trouble tickets, system logs, flights logs, maintenance records, BOM’s, System configuration information, LOPA’s, ARINC system formulas such that this information may be compared with BITE System offload data
You will be involved in Perform research and analysis related to customer characteristics, behavior, and life-cycle to develop collection optimization strategies. Create and perform analysis of predictive models to facilitate the best return on investment (ROI) for Service Delivery activities

Philadelphia, PA

Senior Data Miner

Philadelphia, PA

Altenwerth, Corwin and Fritsch

Philadelphia, PA

Senior Data Miner

Initially support model development activity on SPSS ,existing models will be provided on SPSS and incremental models will be developed on SAS
Manage and mentor assigned resources on advanced analytics capabilities, best practices and effective communication
Guide the data mart development activity (data request, sources, refresh schedules)
Identify / obtain data for building the predictive models
Scope: segmentation; cross sell / up sell; activation; on boarding, spend increase, retention
Implement advanced analytics best practices through standardization of methods, tools and knowledge-sharing to maximize team efficiency and impact
Consultatively engage key stake holders to identify the right research question and ensure research projects are designed to address important business issues

present

Phoenix, AZ

AML Regional Project Data Miner Lead

Phoenix, AZ

Kessler, Kirlin and O'Hara

present

Phoenix, AZ

AML Regional Project Data Miner Lead

present

Innovate and generate new ideas, concepts and models to improve methods of obtaining and evaluating quantitative and qualitative data
Create and present quality dashboards
Perform basic statistical analyses for projects and reports
Provide written explanations of approach and analysis in plain language that supports the conclusions and observations
In collaboration with others, interpret data and develop recommendations based on findings
Monitor data dictionary statistics
Generate routine and ad hoc reports

Education Education

Bachelor’s Degree in Comfort With Numbers

Howard University

Bachelor’s Degree in Comfort With Numbers

Skills Skills

Knowledge of, and ability to perform, quantitative analysis, linear/multiple regression, logistic regression, CHAID modeling, and analysis and historical behavioral analysis
Working knowledge of data management, including database and spreadsheet applications, with the ability to use moderately complex models or specialized computer applications
Sound knowledge of banking marketing analytics use cases; client facing; good communication; ability to provide consulting to client
Ability to extract data from multiple data sources like Oracle and SQL server using SQL
THAV specific tools knowledge (SAP, SERVO, LIVEWORKX )
Ability to work in global teams
Working with a design or reliability engineering group for the development of parts or systems
Desired THAV specific tools knowledge (SAP, Maintenex )
Ability to review campaign responses and tweak model performance
Technical profile (statistics and modeling) willing to work as dedicated senior analytics modeler

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AML Regional Project Data Miner Lead Resume Examples & Samples

Daily Operations
Apply qualitative and quantitative data analysis methods. Validate data, identify data quality issues (if any) and address them
Apply rigorous analytical methods to organize, analyze and interpret data and reports; ensure appropriate methodology is selected to draw conclusions and make recommendations answering specific business needs
Identify problematic areas and conduct research to determine the best course of action to correct the data
Identify, analyze and interpret trends or patterns in complex data sets
Monitor data dictionary statistics
Use visualization techniques to display data and the results of analysis in clear straightforward presentations that can be understood by non-technical readers
Create and present quality dashboards
Drive quality, reliability and usability of all work products. Evaluate and refine the statistical methods and procedures used to obtain data in order to ensure validity, applicability, efficiency and accuracy
Support review of BRD and FRD, from analytics point of view by performing data driven analysis to understand and evaluate feasibility and impact of requirements
Provide support on test planning, with focus on test data requirements. Provide Mantas and analytics SME in defect review process (category & severity classification). Analyze alert volume impact to Operations. Identify un-productive case Opportunity & recommendation
Support post production validation on alert volume. During stabilization period, support analysis on alert volume changes and evaluate methods to resolve/stabilize production (if applicable). Take forward any opportunity Of false alerts/ un-productive Alerts to Global Task Force

Data Miner Resume Examples & Samples

You will be involved in Perform research and analysis related to customer characteristics, behavior, and life-cycle to develop collection optimization strategies. Create and perform analysis of predictive models to facilitate the best return on investment (ROI) for Service Delivery activities
Decompose high-level business and user requirements into analytical requirements and develop solutions to address the same
Prepare reports for management and advisory bodies presenting the results of research and analysis
Documents business/functional/technical requirements and analytical solutions in a clear and concise manner
May manage ad hoc data requests and projects relating to their respective client
Extracting and analyzing large data-sets and provide descriptive statistics and explain the results to business stakeholders
Building predictive models using data mining methodologies along with analyzing and mining business data to identify patterns and correlations among the various data points
Analyze and validate that the client’s business objectives are achieved by the agreed business requirements and propose alternatives where appropriate
Manage communication with the client and the internal service delivery teams with an objective to agree and finalize the business requirements and the proposed analytical solution
Provides assistance to service delivery teams when required to improve operational efficiency and effectiveness
You will be focus on multiple business unit requirements and support all facets of the decision making platform
You will also ensure that best practices in metrics and decision making are being exposed to the BU management and core business decision makers
Knowledge of, and ability to perform, quantitative analysis, linear/multiple regression, logistic regression, CHAID modeling, and analysis and historical behavioral analysis
Working knowledge of data management, including database and spreadsheet applications, with the ability to use moderately complex models or specialized computer applications
Working knowledge of SAS or SPSS
Ability to extract data from multiple data sources like Oracle and SQL server using SQL
Proven written (English) and verbal communication skills
Ability to work in global teams
Demonstrate analytical & problems solving skills
High degree of comfort with numbers; Working knowledge of Excel & PowerPoint
At least 6 years experience in Knowledge in SAS/SPSS, Data Mining

Data Miner Resume Examples & Samples

You shall be required to have analytical background and will be required to work extensively with SAS, SPSS, Tableau and Excel
You will have to work hands on project requests as an individual contributor or team members depending on the request
Understand the healthcare/ life sciences domain and the business area
Communicate with the client; take consult calls and review calls
Work on project plans, interim deliverables and final deliverables
Adhere to the processes and compliance processes set by IBM and the client
Be available for client reviews and ensure timely delivery
Proven communication skills- oral and written
Attributes- Hardworking, flexible & team worker
Technical profile (statistics and modeling) willing to work as dedicated senior analytics modeler
3 to 4 Years of experience in SAS, advanced analytics; specifically predictive modeling, regression and segmentation
At least 3 years experience in Knowledge in statistics and modelling & SAS

Data Miner Resume Examples & Samples

You will be involved in Develop advanced predictive models
Analyze data across multiple dimensions
Manage Analytics projects
Develop Predictive/Segmentation models
Align analytics objectives with business objectives
Others - Managing Primary Market Research, Secondary research , Web Research, Data Analysis across retail domain
Experience in developing analytics solutions for client's business problem
Hands-on experience in model building – Statistical techniques (basic & advanced) for Marketing/Retail Analytics etc
Experience in analytics project/ work stream management
Experience in client management in the analytics domain
Advanced Excel and Powerpoint skills
Hands on experience in Tableau is Preferred
Hands-on experience in data handling and statistical tools like Alteryx ,Tableau is highly preferred and other tools experience including SPSS, R, SAS, Python for Analytics etc. with hands on R/RStudio is accepted
Proven communication skills
Adherence to timeliness
Open to work in shifts
3-4 years of Retail domain experience is mandatory
At least 3 years experience in Experience in Retail Domain

Mantas Data Miner / Development Manager Resume Examples & Samples

Sound knowledge of Mantas Scenario development, Scenario customization, UI customization, alert analysis, data analysis, and platform upgrade
Good knowledge of Linux/Unix and Oracle Database
Good understanding of AML
General understanding of data base technologies – ETL, and data ware houses
Exposure to other RDBMS, for example, Sybase and Natezza
Good knowledge of Unix Linux/Solaris environment and shell scripting skills including K-shell, awk, Perl

Mys-ctsm Kl-productivity Data Miner Resume Examples & Samples

Mantas knowledge
Data analysis skills
Attention to details is a must
Compliance/AML knowledge would be a plus
Proficient in PC desktop software, with emphasis on MS Office products
Have experience in SAS (plus)

Data Miner Resume Examples & Samples

Serve as a data miner / reporting developer across all modules within CRS (Ops, Lease, Projects, Space)
Work closely with GSO business analytical team to ensure end user data is accurate, timely, relevant and positioned (displayed) in meaningful manner
Work closely with data mining team to ensure reporting database is monitored / maintained daily
Support / drive new reporting products for CRS future reporting
Identify and implement new reporting tools (ie dashboards) for corporate real estate globally
The responsibilities of the role fall into three main functions: Technical Data Management, Report & Warehouse Design and Management Reporting
Specific requirements include the development of various custom reports using Hyperion / Micro Strategies / Cognos (examples include the Monthly Operational Review which bring Real Estate, Space, Financial and HR Data together)
Additional areas of focus include building operations, project management, lease & portfolio, space & occupancy, compliance and management, performance metrics and other premise related reports
Additional expertise will be required during global system migration from existing real estate system REMS to new system REALM
Manage the Data warehouse and provide database and data mining technical support
Follow report life cycle by developing and publishing reports in various Hyperion environments (IST, UST, PROD, COB)
Provide support to maintain existing environments
Perform process improvements to more effectively retrieve data from different sources to develop reports for analyzing real estate data in conjunction with other data coming in from feeds (i.e. HR, Finance, etc) to ensure data integrity
Perform tool and application evaluations (i.e. Hyperion upgrades, migration to new products, etc)
Participate in the Global Strategic Operations Data Management and Reporting Team Meetings
Develop ad-hoc reports to support senior level management, the CRS regions, and business customers requests. Work with CRS business partners to assess reporting and then develop reports and work with the users to test and publish the reports. Data Mapping and documentation
Extensive knowledge and experience working in report design and database (warehouse) managementQualifications
5+ Years - Data mining and data management experience including extensive report design and development
5+ Years - Experience working with relational databases, such as Oracle, and SQL Server
5+ Years - Experience and Knowledge of Software Development Life Cycle (SDLC)
5+ Years - Experience and highly proficient with Microsoft Office (excel, access, outlook, powerpoint)
Experience with report development tools (Cognos Development and / or MicroStrategy Development)
Dashboard Design and Implementation
Experience with Hyperion Interactive Studio
Strong communication (verbal and written) and organizational skills
Strong Use of Microsoft Suite (Excel, Access, etc)
Understanding of technical skills – Database (Oracle, Sybase), Unix, SQL, Java

SME Data Miner Resume Examples & Samples

Minimum 6 -10 years of relevant experience
Significant Mantas Data Analysis experience
Strong knowledge of Oracle Mantas data model elements
Scenarios/Thresholds/behavioral research
Background work in financial AML industry
Excellent attention to detail and follow-up skills
Ability to interact with all levels of Citi management
Ability to travel several times a year if needed

Data Miner Resume Examples & Samples

You will be require to have strong analytical background and will be required to work extensively with SAS, SPSS, Tableau and Excel
You will have to work hands on on project requests as an individual contributor or team members depending on the request
Demonstrate technical profile (statistics and modeling) willing to work as dedicated senior analytics modeler
Attributes- Hardworking, flexible, team worker,
3 to 4 Years of experience in advanced analytics; specifically predictive modeling, regression and segmentation
3 to 4 years of SAS experience

Senior Data Miner Resume Examples & Samples

Identify / obtain data for building the predictive models
Guide the data mart development activity (data request, sources, refresh schedules)
Sound knowledge of banking marketing analytics use cases; client facing; good communication; ability to provide consulting to client
Ability to come up with campaign ideas/ recommendations based on data analysis

Data Miner Resume Examples & Samples

You will be require to have discussions with business / product teams on analytical use cases based on the agreed business case model
Initially support model development activity on SPSS ,existing models will be provided on SPSS and incremental models will be developed on SAS
Needs to identify / build quick win models within 3 months individually
Scope: segmentation; cross sell / up sell; activation; on boarding, spend increase, retention
Ability to review campaign responses and tweak model performance
5+ Years

Data Analyst / Data Miner Resume Examples & Samples

Conducting data research using the latest data mining and data manipulation applications, that will feed into research and findings that will provide insights into investor behavior and savings trends for the firm’s clients, pension consultants and internal asset allocation teams
An advanced degree in Computer Science, Math or Stats
3+ years’ experience in data analysis working with large amounts of data that support investment decisions, (asset allocation, portfolio construction)
Experience working with big data platforms like Hadoop or Spark
Experience working with applications like R, Hive, SQL and Python are strongly preferred

Senior Data Miner Resume Examples & Samples

You will be required to Perform as the subject matter expert (SME) on projects requiring advanced analytics including but not limited to market mix modeling, forecasting, consumer segmentation and choice analytics
Implement advanced analytics best practices through standardization of methods, tools and knowledge-sharing to maximize team efficiency and impact
Consultatively engage key stake holders to identify the right research question and ensure research projects are designed to address important business issues
Continuously seek new and innovative ways to bring external thinking to applying analytics to generate insights from disparate data sources
Pro-actively identify and champion new and emerging research and data sources
Manage and mentor assigned resources on advanced analytics capabilities, best practices and effective communication
5-8 years of experience in an advanced analytics role within Retail/FMCG/CPG industry required
4+ years of experience in econometric modeling and 2+ years of emerging machine learning frameworks catering to regression, classification and time series analyses (including but not limited to segmentation, propensity analysis, next best activity, market mix modeling, market basket analysis, campaign analysis and forecasting)
4+ years of hands on experience with open source analytics platforms including R, Python along with associated analytics packages required
4+ years of experience with SQL desirable
Hands on experience with Knime or Alteryx and Tableau preferred
Hands on experience with SAS/SPSS helpful

Data Miner Resume Examples & Samples

Ability to create Excel macro from multiple Excel sources for automation
Excellent analytical & problems solving skills
High degree of comfort with numbers; good working knowledge of Excel & PowerPoint
Relevant work exp – 4 to 6 years
Should be on permanent roles of the organization
Able to demonstrate strong organizational skills
Ability to work to set deadlines and targets
Excellent documentation skills with attention to detail
Enthusiastic and motivated
Interpersonal skills
Effective presentation skills
The ability to multi-task
Able to demonstrate a high level of personal initiative
Ability to work with minimum supervision

Data Miner Resume Examples & Samples

3-6 years of experience in an advanced analytics role within Retail/FMCG/CPG industry required
Familiarity with syndicated data sources such as Nielsen, IRI and RSi is highly desirable
3+ years of experience in econometric modeling and 2+ years of emerging machine learning frameworks catering to regression, classification and time series analyses (including but not limited to segmentation, propensity analysis, next best activity, market mix modeling, market basket analysis, campaign analysis and forecasting)
Familiarity with social and digital analytics solutions and frameworks
3+ years of hands on experience in extracting data from disparate data sources, transforming and loading into analytical platform i.e. ability to comfortably work with raw data from disconnected data sources to clean, blend and analyze
3+ years of hands on experience with open source analytics platforms including R, Python along with associated analytics packages required
3+ years of experience with SQL desirable
Hands on experience with SAS/SPSS

Business Leader / Senior Data Miner Resume Examples & Samples

Work closely with the end-users of Oracle FCCM (Mantas) solutions, understand and document business requirements in the area of AML, Fraud detection and KYC
Understand overall OFSAA solution data model and identify data elements and derivations required to support Oracle FCCM solutions
Understand types of data provided by Worldcheck, Capital Market data providers like Reuters, Bloomberg
Understanding of solution data requirements to ensure data source feeds meet the data specification. Assist in mapping customer data into Oracle solutions
Design, configure, test and deploy FCCM scenarios
Ability to develop ad hoc data queries to analyze data and identify deficiencies during testing phase of the project – decent knowledge of PL/SQL
Interact with Functional and Technical Consultants to ensure the successful deployment of the Oracle solutions
Discuss and document configuration of AML/KYC/Fraud detection application
Adopt and contribute to OFSAA best practice methodologies for knowledge dissemination throughout the OFSAA Delivery organization
Knowledge of local and international regulatory standards in AML/KYC/Fraud detection space is essential
While the job requirement is mainly in Singapore, candidate should be willing to travel to any location in JAPAC region and if necessary to other parts of the world
Degree / Postgraduate level degree in Finance/Statistics/Econometrics
Recognized industry certification in AML like CAMS is desirable
Minimum of 8-10 years of Oracle Mantas experience
Experience in Data Analysis, configuration of behavior detection algorithms, training compliance users is required

Data Miner Resume Examples & Samples

More than 3 years experience in developing analytics solutions for client's business problem
Hands-on experience in model building
OLS
Predictive Modeling
Logistic regression,
Behavior segmentation (CHAID/ CART)
Cluster analysis
Time Series Modeling
Text Mining
Survival Analysis
Optimization Techniques
Experience in analytics project/ workstream management
This individual shall be required to have strong analytical background and will be required to work extensively with SAS, SPSS, Tableau and Excel. You will have to work hands on project requests as an individual contributor or team members depending on the request
Interact with the client; take consult calls and review calls

Data Miner Resume Examples & Samples

To assist the Systems Engineering and Reliability/Fleet Performance team with the support of the BITE Ground Tool. Support to cover both Administrative and Technical areas such that customers can utilize the benefit of any BITE supported aircraft
To be able to maintain the LOPA’s and system software configurations for any customer that uses the Infylt Cloud Portal
To facilitate loading of data from other sources: cabin log books, task cards, trouble tickets, system logs, flights logs, maintenance records, BOM’s, System configuration information, LOPA’s, ARINC system formulas such that this information may be compared with BITE System offload data
To be the focal who will assist customers with administrative assignment of User Names and Passwords
To be the focal to clear any processed file from the tool such that the information is loaded correctly back into the tool. To be able to work out inconsistencies of the data gathered to ensure that it can be properly manipulated. This person shall be able to analyze the information such that a correction can be made
To be able to utilize the Que Manager or the TGS repository and various report tools such that summary reports can be generated almost at will. To also assist customers with the output of the tools reporting module is necessary
To be able to work with minimal direction to complete the loading of all Data Objects
To be understand problems with all types of software application and work with the System team to help make corrections
To be able to participate with teams and management to report daily progress to completion
To be able to make presentations and deliver the status of results
Associate degree of Science, Engineering or Mathematics (Aeronautics, Avionics, Aircraft Maintenance a plus); or two to four years related experience and/or training; or equivalent combination of education and experience
Desired THAV specific tools knowledge (SAP, Maintenex ) a plus
Previous production reporting experience in the support of Electronics or A/C manufacturing and /or Airlines
1 to 2 years’ experience in reporting results of Electronics components/systems
Working with a design or reliability engineering group for the development of parts or systems

Data Miner / Data Analyst Resume Examples & Samples

A/BS Degree preferred (management/business/engineering)
Preferred 3 + years’ experience in an engineering or manufacturing organization working with various types of documentation including Bill Of Material (BOM) structure. Experience with Product Data Management (PDM ) applications (Agile, JDE Experience and/or APICS CPIM) experience a plus
Microsoft Office (Word, Excel, Outlook, etc.)
Data and analytical skills

Data Miner Resume Examples & Samples

To assist the Systems Engineering and Reliability/Fleet Performance team with the support of the BITE InFlyt Ground Tool. Support to cover both Administrative and Technical areas such that customers can utilize the benefit of any offloads from IFE supported aircraft
To be knowledgeable of COTS tools available to assist with the processing of large amounts data quickly and efficiently. If tools are not available this position will assist in the development of any new tools to support the “Big Data” program
To be able to lead projects within the departmental team and if necessary man report daily progress to the management team until the completion is reached
To be able to make presentations and deliver the status of results internally and externally
Bachelor degree of Science, Engineering or Mathematics (Aeronautics, Avionics, Aircraft Maintenance a plus); or two to four years related experience and/or training; or equivalent combination of education and experience
Computer literate (Excel, Oracle, Word, PowerPoint, Sequel, SAP, Python, SAS, Access, Web)
No Travel is expected
THAV specific tools knowledge (SAP, SERVO, LIVEWORKX ) a plus
Previous production reporting experience in the support of Electronics or A/C manufacturing and /or Airlines. ATA Data Reporting to Spec 2000
4 to 5 years’ experience in reporting results of Electronics components/systems