Halo Group is a premier provider of IT talent. We place technology experts within the teams of the world’s leading companies and help clients build innovative businesses that keep them one step closer to their customers and one step ahead of the competition.
Halo Group strives to be among the most respected IT consulting firms by providing unmatched customer, consultant and employee support. A meaningful work environment for employees, attractive and interesting engagements for consultants, and cutting edge innovation for our customers set us apart from the rest. At Halo Group, people are not a commodity, but our greatest resource.
Job DescriptionDescription:
Important Note:
Candidates should have the following experience:
Hands on experience using SQL or SAS and other query tools on large databases
Experience with Big Data
Experience making presentations
Manage analytics projects
Preferably local to DFW
Good contract/full-time tenure
Recent financial services experience
POSITION SUMMARY –
Reason for contingent headcount?
· Workload
What is the project(s) name?
· Core Support – Customer Analytics
What are the key objectives for this resource (project summary)?
This position will provide customer insight to the organization through analysis, research, modelling and data mining.
Provide analytical support to the organization by leveraging data mining tools and analytical methodologies
Assist in data modelling and analysis to determine key customer insights, drive business strategies, and maximize ROI
Integrate internal and external data sources, be comfortable working with both structured and unstructured data
Assist in advanced quantitative methods to segment customers and evaluate customer related activities for effectiveness and efficiency
Assist in development, maintenance and enhancement of statistical models
Use statistical tools and techniques to extract and analyze trends from the customer database warehouse
Manage analytics projects
Prepare and deliver presentations with complex analytical concepts. Comfortable presenting to the business and upper management.
Experience in deep dive analysis and applying analytic techniques to customer/consumer behavior data to determine key customer insights, drive business strategies and maximize ROI such as text analytics.
Conduct multi-channel deep dive analysis for online and offline contexts using mobile phone/tablet/PC/offline browsing and purchase data
Going forward, assist in development and analysis of Real-Time data flows.
Ability to partner with business groups to provide decision support and help determine and drive business strategies by leveraging data
Comfortable working with big data/large datasets
What specific Client departments will they interact with?
Service Operations (Customer Service Call Centers)
Marketing
Legal & Compliance
Sales
Remarketing, Insurance, BTS, and various other business groups
What phase is the project currently in?
Ongoing Support
Requirements:
Must Haves:
2-5 years of experience in a data analytics lead role
Hands on experience using SQL or SAS and other query tools on large databases
Knowledge of at least one statistical programming language (R, SQL, SAS, and/or Python)
Strong quantitative skills
Experience in applying advanced statistical or machine learning techniques
Knowledge of dashboard and reporting software (Tableau, OBIEE, etc.)
Understanding of relational databases
Bachelor’s degree in a quantitative discipline (Statistics, Applied Mathematics, etc) or sufficient on the job use of related skills. Masters/PhD degree is a plus.
Strong presentation and communication skills
Exceptional standards for quality and strong attention to detail
Comfortable working with vendors and business partners and the ability to take initiative to drive projects forward.
Must be able to multitask and handle multiple projects at any given time.
Additional InformationNice-to-haves: (The below is not necessary for this position. These are the responsibilities of the new big data architect position we are hiring for)
Knowledge of at least one programming language for API’s (python, java, etc.)
Experience working with API’s and integrating external data sources
Additional knowledge in NOSQL databases (Hadoop) and real-time frameworks (kafka, kinesis, flume, etc.), and AWS.
Financial Services experience
will be kept confidential according to EEO guidelines.
Skills Required
- 2-5 years of experience in a data analytics lead role
- Hands-on experience using SQL or SAS and other query tools on large databases
- Knowledge of at least one statistical programming language (R, SQL, SAS, and/or Python)
- Comfortable working with big data/large datasets
- Experience applying advanced statistical or machine learning techniques
- Knowledge of dashboard and reporting software (Tableau, OBIEE, etc.)
- Understanding of relational databases
- Bachelor's degree in a quantitative discipline or equivalent experience (Masters/PhD a plus)
- Strong presentation and communication skills; experience making presentations to business and upper management
- Strong quantitative skills, attention to detail, and high quality standards
- Ability to manage analytics projects and multitask across multiple projects
- Comfortable working with vendors and business partners and taking initiative to drive projects
- Preferably local to DFW
- Recent financial services experience
- Experience with APIs, Java or Python for integrations (nice-to-have)
- Knowledge of NoSQL databases, real-time frameworks (Kafka, Kinesis, Flume), and AWS (nice-to-have)
What We Do
Sonoma Consulting Inc. is a national IT consulting and executive search firm founded in 2011 by Mark McGee. The company operates through two business divisions—IT Consulting Services and Executive Search—serving approximately 150 national clients that range from entrepreneurial start-ups to Global Fortune 500 companies. It specializes in harmonizing systems and application or infrastructure development projects.
