Position Description
Position Title:
Data-mining & Modelling Specialist
Business Unit:
Customer Intelligence
Reporting to:
Analytics Manager
Direct Reports:
None
Date Created:
August 2011
Purpose of the Position
The Data-mining and Modelling Specialist will be responsible for designing, developing and
undertaking data driven modelling and data-mining to meet the needs of the Fly Buys business and
Fly Buys clients.
The Data-mining and Modelling Specialist will be expected to contribute both at a data-mining
strategy/planning level and an implementation/build/delivery level.
Key Responsibilities
1. Leads Advanced Analytics, Data-Mining and Data Modelling projects
Undertakes advanced analytics/data-mining and statistical projects – for example
identification of cross and up-sell opportunities, customer profiling and using multiple data
sources to build scored targeting lists
Develops, builds and tests data models - for example customer segmentations, propensity
and predictive models, churn models.
Demonstrates a structured and pragmatic approach to analysis and project delivery –
including developing an upfront project plan, agreeing deliverables, undertaking analysis and
working with Insight Manager to interpret and validate the results.
Works with the Data Warehouse and Information Analysts teams to productionise these
models and integrate them into standard data tools. Ensures integrity in the production
process and data accuracy.
2.
Expert advice and consultancy for wider CI Team
Up-skills and trains the wider CI team on development of/use of advanced
analytics/statistical approaches
Trains team on use of models developed
Acts as a sounding board for CI Team in undertaking complex analysis.
3.
Product Development and R&D
Looks for opportunities to design and develop new revenue generating products for the CI
Team
Models and associated analysis are designed to maximise repeatability
Keeps abreast of industry trends in data-mining and statistical analysis. Briefs and up skills
wider team accordingly
4. Customer Interactions
In most cases the Senior Data-mining & Modelling Specialist will be working with an Insight
Manager on projects. However is it expected that they will have a high degree of customer
interaction throughout such projects – from brief to delivery.
5.
Opportunity Identification
Works with Insight Managers to understand customer needs and objectives, and develop
proactive and innovative data driven solutions
Develops creative and pragmatic approaches to new or complex issues
Works with Insights Managers to identify opportunities to up-sell value added analysis and
analytics solutions to clients
6. Delivers quality control, clear documentation and Peer Review
Ensures work is produced to a high quality standard and accurate
Ensures controls and checks are built into any modelling processes
Documents work to ensure methodologies can be adopted by others
Reviews own work to ensure accuracy; and ensures work is peer reviewed
Peer reviews work of others and provide constructive feedback.
7. Represents Customer Insights on agreed key projects:
Represent Customer Insights on key internal projects, ensuring that the projects are
supported with high quality data and analysis.
Update team on internal projects. Where appropriate gather and represent views of the
broader team and feed into project team. Challenge any decisions that are impractical form
a CI viewpoint in a collaborative and customer focused manner
8. Focuses on and contributes towards continuous improvements within the workplace through
improving activities and processes and utilising the Kaizen principles to make things Easier,
Better, Faster and Cheaper.
9. Contributes towards, and promotes, the achievement of our desired work environment;
specifically an environment that stimulates individual, team and organisational growth and
achievements, and encourages our people to think and behave in ways that achieves their goals
through co-operative efforts.
10. Establishes and maintains effective relationships:
Develops and fosters good proactive working relationships with all internal and external
contacts.
Ensures suppliers of goods and services conform to the standards of business ethics adopted
by LNZL.
11. Leads and/or contributes to specific Fly Buys projects.
12. Undertakes additional responsibilities and activities, as and when requested and as mutually
agreed with your leader.
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Key Functional Relationships
Internal:
Head of Customer Intelligence
Analytics Manager
Insight Managers
Marketing Information Analysts
Customer Intelligence Team
Data Warehouse team
Customer Engagement team
Must have a collaborative and constructive working relationship with every
other LNZL function and staff member
External:
Fly Buys Participants
Other external Contractors and Suppliers engaged from time to time, and
other businesses
Delegations of Authority
Capital Expenditure:
$0.00
Operational Expenditure:
$0.00
Authorisation to Hire:
N/A
Authorisation to sign
Contracts:
N/A
Responsible for:
Number of Staff:
N/A
Budget:
$0.00
Revenue:
$0.00
Appraisal and Performance Criteria
Formal appraisal will occur at least annually or more frequently when performance plans are renegotiated. Performance will be measured against the performance plan negotiated at the
beginning of the reporting period and against the other responsibilities identified above.
This job is being carried out successfully when all responsibilities are being met.
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Person Specifications
Qualifications
Relevant graduate qualifications in IT, statistics, or
commerce/economics/marketing with statistics minor
Essential:
Preferred:
Experience & Knowledge
Essential:
7 + years advanced analysis and modelling experience, ideally in a
marketing (or related business) environment
High standard of written and oral presentation skills
Pragmatic and consistent - deliver solutions that make sense to clients that
are of a consistently high standard
Proven ability to translate complex and technical information into
information easily understood by non-technical staff and clients.
Experience with use of analytical tools sets – eg Enterprise Miner, SPSS,
Oracle Data Miner
Proven experience in developing and leading analysis to answer complex
business issues.
Track record of building and implementing data models and advanced
analytics solutions, ideally in a marketing environment
Experience in use of statistical and data-mining methodologies
Preferred:
Highly developed programming skills (in particular PL/SQL)
Experience in database/datamart creation and management
Experience with Oracle RDBMS and Oracle tools
Skills
The ideal appointee should have a high level of the following skills:
Oral and written communication, including presentation skills.
Interpersonal skills and the ability to negotiate and influence.
Project management skills and the ability to meet deadlines.
Ability to manage a heavy workload.
Analytical, conceptual, problem solving, decisiveness and strategic thinking.
Commercial acumen and political savvy.
Team-oriented and collaborative management approach.
Personal Attributes
The ideal appointee should be able to demonstrate:
A passion for excellence and a commitment to high standards.
Integrity, loyalty to the organisation and a commitment to organisational objectives.
A genuine customer service focus, both internal and external.
A proactive and open minded consultative approach.
Initiative, judgement and ability to creatively solve problems.
Be detail conscious.
Be a self-starter with the ability to accept responsibility and self manage.
Ability to work under pressure with an achievement focus.
Enthusiasm, a thirst for learning and self-development.
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