Data Analytics Lead

About the role

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

• 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.
• Nice-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.

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Company Intel

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