Wednesday, September 20, 2017

Full-time position for Data Analytics at Lincoln Financial

Consumer & Marketing Analytics Function

At Lincoln there is a huge opportunity to improve end customer experience and engagement through better design and integration of products, channels and touch points – both online and offline. The mandate of this new team is to enable a marketing and customer experience transformation by supporting the creation of marketing strategies and capabilities based on customer insights, preferences, attitudes and behaviors.
The group is also partnering with Enterprise IT and Business stakeholders to develop a shared data analytics capability for Lincoln’s Retirement Plan Services (RPS) and Group Protection business units.
By gaining an understanding of the end consumer Lincoln aims to create an increased level of personalization and relevancy with its interactions with its customers, both buyers and sellers – all based on a foundation of data and analytics.
The charter of this newly-developed group at Lincoln is responsible for identifying effective strategies for engaging and marketing to consumers, building and owning consumer data systems and running data analytics for targeting consumers. The team is also leading the development of “test and learn” capability that will support both businesses.

THE ROLE

The Analyst, Data & Analytic Platforms under the Consumer & Marketing Analytics group will design and build consumer data assets. S/he will work with the AVP of Data & Analytic Platforms to understand the data & analytical deliverables & priorities and will deliver on short term and strategic data needs for Consumer and Marketing Analytics.

S/he will also gain expertise on a number of analytic tools and technologies that will be implemented in the future.

RESPONSIBILITIES:

·         Have an investigative mindset towards data(in-house and public), proactively identify issues & potential value to the team, and operationalize those datasets for analytic use cases
·         Builds and delivers tools and data assets for Consumer and Marketing Analytics
·         Works closely with the Analytics team to build dashboards and visualizations
·         Contributes to building a business analytic framework for data quality and governance
·         Implements process improvements to enable simplified, effective, automated, standardized analytical processes
·         Maintains knowledge on current and emerging developments/trends for assigned area(s) of responsibility, assess the impact, and collaborates with management to incorporate new trends and developments in current and future solutions.
·         Champions and enhances organizational initiatives by supporting change management and/or departmental initiatives within assigned area(s) of responsibility.
·         Participates in the design, development and delivery of business-centric data & analytic solutions, including large scale data blending, wrangling and integration
·         Design, develop and implement data &analytic projects within a Cloud computing environment and utilize Big Data platforms & tools.

EDUCATION

·         4 Year/Bachelor’s Degree or equivalent work experience (4 years of experience in lieu of Bachelors) in Information Technology or Engineering or Mathematical discipline
·         2 – 5+ Years Progressive experience in design, development and delivery of business-centric analytic solutions, including relational databases, data marts, data load processes and reporting applications (Required)

EXPERIENCE

·         ~2 - 5+ Years’ experience in analyzing, designing, developing and operationalizing data assets
·         Experience in data & analytic process automation
·         Technology experience in a multi-platform distributed environment.
·         Knowledge of databases and related concepts and hands-on experience in delivery of visualizations and data marts
·         Hands on experience in a wide array of technology and data products in both traditional and big data space e.g. Oracle, Greenplum, Netezza, Hadoop etc
·         Knowledge of diverse and emerging technologies and new architectural concepts and principles.
Knowledge of analytic tools (SAS/SPSS/R), visualization/BI tools (Tableau/Qlik) and data 

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