Employment
DataMentors is a leader in data management applications and services with a focus on data quality, data analytics and database marketing. If you share our passion for business excellence through data management, let us know. We are always interested in knowledgeable, self-starting professionals with a desire to make a difference.
We reward our professionals with a competitive salary, benefits package and 401(k). We are an equal opportunity employer. Posted opportunities are for our Tampa Bay Headquarters.
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(Please insert job position applying for in the email subject line.)
Posted 12-30-2010
Senior Data Analyst
The Senior Data Analyst works with the client to drive the overall development of data driven marketing solutions including: Objectives definition, required analytics and data mart development roadmap, ROI Methodologies, Predictive Modeling, Relationship Deepening Models, Relationship Value Proposition development, marketing and competitive analysis.
Using innovative database marketing techniques, this role will help in improving response rates and ROI for clients.
Responsibilities:
- Manages the overall client relationship, including identifying opportunities for applying analytics, building analytical solutions, delivering and implementing solutions, provide training and technical support on software and documenting work to ensure proper archiving and knowledge transfer.
- Develop analytical and data mining solutions to understand key business behaviors such as: customer acquisition, product up-sell and cross-sell, customer retention, lifetime value, channel preferences, customer satisfaction and loyalty drivers, creditworthiness and payment patterns, etc.
- Presents results to clients, consults heavily in implementing solutions, and measures the value of analytical solutions to reinforce the value proposition of data mining.
Requirements:
Preferred disciplines include applied experience in following:
- Marketing & Marketing Analysis
- Financial Analysis
- Statistical Model development
- Data Mart Design
- Data Mining
- CRM/Database Marketing/Analytics Consulting
- Regression
- Segmentation and clustering
- Decision tree analysis
- Neural networks and genetic algorithms
- Bayesian analysis
- Time series analysis and forecasting, smoothing techniques
- 5+ years of Data Mart design and implementation experience
- Experience designing/building predictive response models
- Deep understanding of business intelligence, data modeling and reporting
- Direct Marketing and/or Marketing Analytics experience
- Excellent communication skills
- At least 4 years of experience managing large technology engagements
- Experience architecting Enterprise Data Management solutions, designing/developing data governance standards, roles and responsibilities, designing data conversion strategies and facilitating data conversion, mapping and cleansing workshops considered a strong plus
- 5+ years managing EDM project teams (5-20 in size) through the full lifecycle - scoping and planning, requirements gathering, design, development, testing, go-live
- Strong implementation experience in 2 of the following 3 areas with at least some knowledge of the third. Experience implementing all 3 areas preferred.
1. Master Data Management
2. Data Governance
3. Data Quality (Trillium Data Quality, Informatica Data Quality, IBM Data Quality QualityStage, SAP Business Objects Data Quality XI, SAS Data Flux)
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Posted 12-30-2010
Data Analyst
The Data Analyst position is the primary source for service bureau based job processing and client-based software initial process design and implementation. The Data Analyst is responsible for the design, implementation and documentation of processes established to meet the client/job expectations, as set forth in the statement of work or mutually agreed upon deliverables. The Data Analyst serves as the principal contact between DataMentors and the client and is responsible for setting and managing client expectations, securing the necessary resources, and producing the expected deliverables, in both a timely and quality fashion. In essence, the Data Analyst acts as the account manager, process consultant, programmer and quality assurance presence.Key Responsibilities
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Review and understand the client’s business objectives as they relate to the current project. Set and manage client expectations through the use of schedules, conference reports, and online communications.
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Based on source data and the tools available, design a process within DataFuse that meets these business objectives, including data transformation, householding rule development, exception processing and designated output parameters.
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Import, evaluate and document client data to be utilized to attain stated objectives. Alert the client to data conditions that may compromise project quality.
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Develop program scripts using DMUtils to produce the desired process output, validate output through the production of sample extracts, processing counts, summary totals and other QC techniques in accordance with established standards. Manage available hardware resources and support staff as needed.
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Support clients using DataFuse on site with software support, process consulting and evaluation.
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Support new business acquisition efforts through the production of sample data and job process tests.
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Occasional travel will be required.
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Occasional after hours support will be required.
- The ability to manage multiple detail-oriented tasks concurrently.
- Strong communication skills, both verbal and written.
- Direct work experience in a data conversion, ETL or programming environment or any other data driven, logic based discipline.
- The ability to take ownership of large client relationships (Fortune 500) and work independently and within a team to meet published expectations.
- The conceptual ability to visualize and document data transformation throughout a multi-step process.
- Intermediate level of relational database understanding (ORACLE, SQL)
- Beginner to Intermediate level VB script or other programming
- Highly analytical with excellent critical thinking ability with project management skills.
- Dedicated with good ability to grasp new concepts quickly.
- High level of multi-tasking and adhering to deadlines.
- Superior customer service ability.
- Skilled in MSOffice, Visio.
- Banking background helpful.
- Outgoing, positive personality.
- Enjoys working in a fun environment.
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Posted 12-30-2010
Senior Business Analyst
The Senior Business Analyst works with the client to drive the overall development of data driven marketing solutions including: Objectives definition, required analytics and data mart development roadmap, ROI Methodologies, Predictive Modeling, Relationship Deepening Models, Relationship Value Proposition development, marketing and competitive analysis.
Using innovative database marketing techniques, this role will help in improving response rates and ROI for clients.
Responsibilities:
- Manages the overall client relationship, including identifying opportunities for applying analytics, building analytical solutions, delivering and implementing solutions, provide training and technical support on software and documenting work to ensure proper archiving and knowledge transfer.
- Develop analytical and data mining solutions to understand key business behaviors such as: customer acquisition, product up-sell and cross-sell, customer retention, lifetime value, channel preferences, customer satisfaction and loyalty drivers, creditworthiness and payment patterns, etc.
- Presents results to clients, consults heavily in implementing solutions, and measures the value of analytical solutions to reinforce the value proposition of data mining.
Requirements:
Preferred disciplines include applied experience in following:
- Marketing & Marketing Analysis
- Financial Analysis
- Model development
- Data Mart Design
- Data Mining
- CRM/Database Marketing/Analytics Consulting
- Regression
- Segmentation and clustering
- Decision tree analysis
- Neural networks and genetic algorithms
- Bayesian analysis
- Time series analysis and forecasting, smoothing techniques
- 5+ years of Data Mart design and implementation experience
- Experience designing/building predictive response models
- Deep understanding of business intelligence, data modeling and reporting
- Direct Marketing and/or Marketing Analytics experience
- Excellent communication skills
- Working knowledge of at least one BI tool, such as Cognos, Business Objects or Microstrategy is considered a strong plus
- Experience with SSRS is considered a strong plus
- Experience with a campaign tool, such as Alterian, is considered a strong plus
- Experience with CDI (Customer Data Integration) preferred
- Experience in database marketing preferred
- Domain knowledge of financial services is considered a strong plus
- Strong knowledge of software engineering and development methodologies, techniques, and tools, including Configuration Management (CVS), Issue Tracking, and the Software Development Lifecycle (waterfall; agile)
- Significant experience as a team lead preferred; 3 years experience as a technical leader of a team of 3-5 technical staff
- Significant experience designing and implementing large databases and data warehouses utilizing both relational and dimensional design concepts is considered a plus
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