Predictive Analytics Consultant

Dunn Solutions Group; Chicago (IL); On-site; USD 75,000 - 95,000; Full time

Job summary

Dunn Solutions Group is seeking a motivated professional to join our predictive analytics practice. This full-time role is based in our Skokie, IL headquarters and involves working with our experienced business intelligence team to leverage data for impactful client solutions.

The ideal candidate will have skills in predictive modeling and data analysis, along with a background in statistics or related fields. Proven experience in consulting and analytics will be highly valued.

Qualifications

• 1+ years of work experience in predictive projects.
• Strong understanding of statistical algorithms and processes.
• Fluent in English, additional languages are a plus.

Responsibilities

• Build and maintain predictive models with data from various sources.
• Collaborate with clients to demonstrate the value of solutions.
• Develop prototypes in the client IT environment.
• Manage major client needs using advanced algorithms.

Skills

Advanced analytics experience

Predictive modeling

Consulting experience

Programming skills (R, Python, SQL)

Data mining techniques

Education

Bachelor’s Degree or PhD in Statistics, Applied Statistics, Applied Mathematics, or Economics

Tools

SAP Predictive Analytics

KXEN

SQL

SAS

R

Python

Job description

Dunn Solutions Group is a full-service information technology consulting firm. We bring exceptional strategic experience, design skills and technology expertise to every project, plus complementary capabilities in client education. Focused on the business intelligence, application development and web/portal spaces, we deliver services worldwide through offices in Chicago, Minneapolis, Raleigh, St. Louis, and Bangalore, India. We work closely with our software vendor partners including SAP, Liferay, Microsoft, Informatica and others to deliver solutions to our clients. Our IT professionals and business experts bridge the gap between business needs and technical solutions. Over the years, we have cultivated our experience and knowledge in a large number of industries and technologies in order to provide our customers with the most valuable solutions possible.

Specialties

• Business Intelligence
• Custom Application Development
• Mobile Applications
• Data Warehousing
• Portals
• E-Commerce

Job Description

Dunn Solutions is growing our predictive analytics practice. Come join our experienced business intelligence and analytics team as we leverage the power of data and predictive modeling to change the way our clients run their businesses. This multi-dimensional role will report directly to our Predictive Analytics Practice Leader and work with both our internal team and clients in a variety of verticals including retail, healthcare, and finance. This is a full time position with benefits located right outside of Chicago in our Skokie, IL headquarters.

Responsibilities

• Strong generic understanding of functionality and/or willingness and ability to acquire deep SAP/KXEN knowledge.
• Ability to demonstrate the value of the solution (not just demonstrate the functionality) and build a strong working relationship with client and Dunn team.
• Build and maintain models, including extracting and combining data from multiple sources using languages such as SQL, R, KXEN, SAP Predictive Analytics and SAS.
• Possess teamwork, high integrity, self‑starter, can‑do attitude, problem solver.
• Develop new or revised statistical systems and solve or investigate issues related to modeling (e.g., development of an advanced recommendation engine for use and sale to external e‑commerce websites).
• Facilitate and manage major internal initiatives and external client needs that use advanced mathematical and structured algorithms.
• Develop prototypes in client IT environment.

Desired Skills and Experience

• Advanced analytics experience building and deploying predictive models.
• Fundamental statistics knowledge suitable to answer questions about underlying algorithms and processes.
• Statistical emphasis on data mining techniques, Bayesian Networks inference, CHAID, CART, association rule, linear and non‑linear regression, hierarchical mixed models / multi‑level modeling.
• 1+ years of work experience in predictive projects.
• Consulting experience preferred.
• Experience with and comfort discussing the role of analytics in customer lifecycle analytics.
• Intermediate to advanced programming skills enabling extraction and manipulation of data (R, Python, SAS, SQL, KXEN, and SAP Predictive Analytics).
• Knowledge of data integration processes.
• Knowledge of data mining.
• Some experience performing data mining or statistical analysis in Retail, Insurance or Financial Services preferred.
• Fluent English required; additional languages are a plus.
• Ability to travel 30%.
• Minimum of a Bachelor’s Degree or PhD in Statistics, Applied Statistics, Applied Mathematics, or Economics.

Additional Information

All your information will be kept confidential according to EEO guidelines.