Data Senior Analyst

A Data Senior Analyst is proficient at using reporting, analytics, statistical and data transformation tools to produce robust conclusions from data resources. They are skilled at designing an analysis in response to customer needs, and then producing and delivering that analysis. This person must be able to work independently as the analytics resource for internal stakeholders. The Data Senior Analyst also serves as a technical lead within an analytics team. They should feel comfortable consulting with teammates on technical problems and helping teach new skills when necessary. A strong candidate will also have experience leveraging data mining and machine learning algorithms to extend or enhance an analysis. This position is currently remote and will convert to hybrid requiring 2 days/wk in the office in the future. Candidates must reside within the same state as this posting. PRIMARY DUTIES/KEY RESPONSIBILITES: Design analytics solutions in response to business or stakeholder needs and own construction and delivery of that solution Serve as technical resource for analytics teammates, helping solve challenging problems and sharing knowledge with teammates Occasionally produce light data mining, data science and machine learning deliverables Perform detailed analysis of data and present findings to internal customers through a variety of tools and platforms Use statistics to quantify the strength of observed effects in an analysis Build and maintain data pipelines, data assets, dashboards and reports Minimum Qualifications: Bachelor's degree in a related discipline and 4 years experience in a related field. The right candidate could also have a different combination, such as a master's degree and 2 years experience; a Ph.D. and up to 1 year of experience; or 8 years experience in a related field 4+ years experience in an analytics or data science role Experience in using Microsoft Excel, Tableau, Domo, Power BI and/or other dashboard development and analysis tools is required in order to create actionable insights Experience with statistical hypothesis testing techniques required Experience building and maintaining data automation processes required Experience with some variant of SQL required Experience with R or Python required Experience with machine learning or data mining techniques preferred Requires physical ability and mental acuity to execute the duties of the position successfully within required timeframes in order to meet business requirements. Preferred: Preferred Bachelor's degree in a quantitative field such as Computer Science, Statistics, Economics or similar Power BI strongly preferred What's In It For You? You'll be rewarded with highly competitive pay , plus other compensation perks you've come to expect (e.g., 401k + company match, comprehensive medical benefits, etc.) and others you may not (e.g., flexible time off policy, tuition reimbursement for academic pursuits, pet insurance and more...) Work/Life Balance. Job flexibility is central to our culture because team members have different working styles and important stuff going on outside the office, too. Smart and creative colleagues, plus ongoing learning opportunities. You'll have the tools and team you need to do your job well without a lot of red tape. Plus, we know how important it is for you to stay brushed up on your financial knowledge and skills, so we invest in your ongoing training along the way to make sure you have what need to help you along your career path. Boundless career opportunities for lateral and upward movement across a high-performing enterprise spanning diverse industries. You'll have the chance to learn and train so you can sharpen your skills and explore opportunities across the Cox family of businesses. Join the Cox family of businesses and make your mark today #remote USD 77,8

Created: 2024-11-02