Entry Level Data Science Analyst (Remote)

The analyst will have a passion for problem solving, comfort with ambiguity and the ability to think conceptually, analytically and creatively. This position is a permanent remote home-based worker. Your home office does not need to be near an Optimere office, but it does need to be in the United States. This position is eligible for a monthly connectivity reimbursement to offset the costs of internet and phone expenses. Key Responsibilities: Collaborate with business users and analyze the data and report on all Roadside areas, including but not limited to contact center performance, digital self service, partner reporting, marketing channel effectiveness, customer experience, and Claims/Billing Collect, analyze, and evaluate data to break down strategic problems, track project performance and important developments; Synthesize raw data into digestible and actionable information Conduct in-depth data analyses using traditional and advanced statistical methods. Assess trends and provide data interpretation to identify important business issues. Responsible for gathering and documenting business requirements in a way that effectively conveys the required functionality to stakeholders and Data Scientist/Business Intelligence team Responsible for identifying, analyzing, and interpreting trends or patterns in complex data sets Designs and produces regular and ad-hoc analysis, reports, and dashboards to effectively communicate data driven insights to stakeholders. Provide technical assistance and cross training to other team members Provide training and assistance to users for generation of adhoc reports Design and implement technology best practices, guidelines and repeatable processes Translate business requirements and unstructured business issues into data analytic problems Create best practices for testing/profiling of data to ensure proper operation and accuracy Effectively communicate technical analyses and results to analytics leaders Supervisory Responsibilities: This job does not have supervisory duties. Functional Skills: Ability to manage multiple projects concurrently Experience working with cross-functional teams and offshore team Strong verbal & written communication skills Strong collaboration & team skills Strong analytical and problem-solving skills Strong data driven decision making Detail oriented Self-motivated Education and Experience: Bachelor's degree in business, management information systems, computer programming or related field Knowledge and experience (5-7 years experience) in data preparation, data analysis, and statistical tool sets including but not limited to Tableau, SQL, R, Python Proficient in statistics Certificates, Licenses, Registrations: None Notes: The preceding description is not designed to be a complete list of all duties and responsibilities. May be required to perform other related duties as assigned. Regular, predictable attendance is an essential function of this job.