ADVANCED DATA ANALYTICS SPECIALIST - Atlanta, Georgia

Job Reference:1001911999
Position Type:Permanent
Industry:Insurance
City, State:Atlanta, Georgia
Salary:US$0.00 - US$0.00 per hour
Contact:Deb Wethal, Spherion, United States
Phone:debwethal@spherion.com

Job Description

Job is located in Madison, WI.


Spherion is partnering with American Family Insurance for a DIRECT HIRE opportunity. We are currently recruiting for an Advanced Data Analytics Specialist. 

POSITION OBJECTIVE

This position is responsible for delivering on data analytics, reporting and data visualization initiatives. Ensures data analytics requirements are consolidated across the organization. Improves the organizations` analytical and reporting capabilities by selecting and delivering best in class solutions. The specialist will also triage data sourcing requests from business units and determine appropriate solutions for such requests. As a senior member of the Data Analytics and Reporting Center of Excellence team, may assist in mentoring junior level resources within the department as well as business unit resources to raise the level of analytic capability across the organization.

 

Qualification

PRIMARY ACCOUNTABILITIES AND MAJOR ACTIVITIES

Data Analytics & Reporting Center of Excellence

Creates a business analytics and reporting playbook that defines processes, methods, guiding principles and governance, as well as the information delivery data layer.
Provides oversight to data analytic activities across the organization. Governs activity in data environments to ensure consistency.
Assesses the current state of business analytics tool implementations and architectures; reviewing for gaps against industry best practices.
Creates and maintains playbooks for business intelligence tools.
Completes reporting and complex analysis not supported within the business domains.
Develops processes to promote reuse and efficiency in reporting for business functions. Promotes consistent use and reuse of data environments throughout the enterprise.
Leads the organization in adoption of industry best practices for delivering business innovation data environments and reuse of innovation results.

Analytics and Reporting Tool Optimization

Produces and maintains a report and analytics capability catalog.
Supports business community with tool support and training (Business Objects, SAS, others).
Supports and leads the organization in tool selection and optimization of data mining and data visualization tools to meet business requirements.
Supports a business analytics sandbox for prototyping and innovative solution testing.
Assists in implementing data warehouse solutions, ensuring that the solutions provide advanced analytics capabilities and support data mining.

Analytics Project Support

Conducts detailed interviews that align with business requirements and provide report-level functional and non-functional requirements.
Creates statistical models that allow the organization to make more informed business decisions.
Assists the business by creating standard, ad hoc, and parameterized/prompt reports.
Performs reporting and complex analysis not supported within the business lines.
Creates executive dashboards and KPI scorecards as requested.
Completes data visualization activities including the support of the architecture and tools used to complete the reporting.
Conducts data mining and "what-if" analyses.
Supports the architecture and environments needed for innovation and R&D analysis.

 

COMPETENCIES

Analytical Thinking
Uses a logical and systematic approach to accurately analyze data, problems, and situations.
Business Acumen
Understands the business and uses good judgment to guide it.
Maximize Customer Experience

Achieve Results

Be Accountable

Planning & Organizing
Completes projects and tasks efficiently and effectively.
Quantitative Analysis
Analyzes data effectively to manage and achieve results.
Relationship Building
Establishes positive business alliances to accomplish objectives and execute business strategy.

SPECIALIZED KNOWLEDGE AND SKILLS REQUIREMENT

Demonstrated experience working with big data to support business strategy projects.
Demonstrated experience working with data mining tools.
Solid knowledge and understanding of logistic regression, linear/non-linear regression and time series analysis models.
Demonstrated experience leading business intelligence reporting projects.
Demonstrated experience developing business intelligence architecture and reporting.
Demonstrated experience with business intelligence, data analytics, reporting and visualization tools (e.g. Business Objects, SAS, Cognos, Tableau).