Senior Engineering Analyst - C12

• Lead cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities
• Create a follow-the-sun data operational model where we can apply forensics and rapid response to data questions
• Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions
• Design and build technical processes to address business issues
• Oversee the design and delivery of reports and insights that analyze business functions and key operations and performance metrics
• Recruit, train, develop and supervise analyst-level employees
• Ensure accuracy of data and deliverables of reporting employees with comprehensive policies and processes
• Manage and optimize processes for data intake, validation, mining and engineering as well as modeling, visualization and communication deliverables
• Examine, interpret and report results of analytical initiatives to stakeholders in leadership, technology, sales, marketing and product teams
• Oversee the data/report requests process: tracking requests submitted, prioritization, approval, etc.
• Develop and implement quality controls and departmental standards to ensure quality standards, organizational expectations, and regulatory requirements
• Anticipate future demands of initiatives related to people, technology, budget and business within your department and design/implement solutions to meet these needs
• Organize and drive successful completion of data insight initiatives through effective management of analyst and data employees and effective collaboration with stakeholders
• Communicate results and business impacts of insight initiatives to stakeholders within and outside of the company

• Experience in working with ML Workbench technologies such as Dataiku, DataRobot, or Alteryx
• Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources
• Strong SQL skills, ability to perform effective querying involving multiple tables and subqueries
• Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units
• Bonus if experienced and knowledgeable in statistical modeling techniques: GLM multiple regression, logistic regression, log-linear regression, variable selection
• Experience working with and creating databases and dashboards using all relevant data to inform decisions
• Strong problem solving, quantitative and analytical abilities
• 5+ years of experience in a position monitoring, managing, manipulating and drawing insights from data, and someone with at least 3 years of experience leading a team
• Strong programming skills with querying languages
• Experience with relational big data tools: Oracle, Hadoop

Bonus if experienced and knowledgeable in statistical modeling techniques: GLM multiple regression, logistic regression, log-linear regression, variable selection

• Global Benefits
• We bring the best to our people
• We put our employees first and provide the best-in-class benefits they need to be well, live well and save well