Payrate: $58.00 - $60.00/hr. Summary: Collaborates with business and analytics leaders to generate insights and answer business questions by using analytics techniques such as advanced data visualization, statistical analysis, randomized testing, predictive modeling, forecasting, optimization, and/or machine learning. Proposes innovative ways to look at problems by using these approaches on available enterprise data as well as customer third party data and information. Validates findings using experimental and iterative approaches. This level performs basic statistical analysis of low to moderately complex data from a single source, with heavy reliance on industry/standardized tools and existing models. Output is reviewed by higher-level Data Scientists or Analytics Manager for execution. Responsibilities: • Works with data sets and performs appropriate analytical methodology to provide insights and decision modeling for the business. • Creates and implements algorithms which manage the data to enable it to be analyzed in an efficient manner. • Supports the communication of derived insights, especially through appropriate visualization techniques. • Supports the identification of the required data sources and works with Data Wranglers and/or IT to implement methodologies to retrieve and use this data. • Stays abreast of the latest appropriate analytical techniques and recommends these where needed. • Explains implementation and usage in business terms. • Applies analytical techniques to prospect for business insights and find patterns in data which could be valuable for the business Skills: • Quantitative analytical skills • Knowledge of appropriate industry • Good interpersonal, negotiation and conflict resolution skills. • Excellence in verbal and written communication forms with emphasis on persuasive communication, tact and negotiation. • Business process knowledge of assigned area(s) and/or function(s). • Knowledge of advanced data gathering and analysis techniques, including statistical analysis. Education / Experience: • Degree in a Math discipline or equivalent experience. • University Degree (4 years or equivalent) • Economics - University Degree (4 years or equivalent) • Statistics - University Degree (4 years or equivalent) • Internal or external industry specific experience in relevant discipline. (1 - 3 years) • Data analytics experience. (1 - 3 years) • Background or proven experience in mining data for analytics insights. (1 - 3 years) • Good exposure to enterprise statistical tools like SAS, Statistica, SPSS or SAS E Miner (1 - 3 years) Pay Transparency: The typical base pay for this role across the U.S. is: $58.00 - $60.00/hr. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience and the benefits package you select.  Full-time employees are eligible to select from different benefits packages.  Packages may include medical, dental, and vision benefits, 10 paid days off, 401(k) plan participation, commuter benefits and life and disability insurance. For information about our collection, use, and disclosure of applicant's personal information as well as applicants' rights over their personal information, please see our Privacy Policy (https://www.aditiconsulting.com/privacypolicy). Aditi Consulting LLC uses AI technology to engage candidates during the sourcing process.  AI technology is used to gather data only and does not replace human based decision making in employment decisions.  By applying to this position, you agree to Aditi’s use of AI technology including calls from an AI Voice Recruiter. #AditiConsulting # 25-20432