Posted in Science about 3 hours ago.
Type: Full-Time
Job Summary
Join our dynamic Sales Operations department where collaborative teams in Pricing, Customer Data Management, Sales Compensation, and more intersect to empower our sales teams. Our mission is to grow and retain customers through consistency and overall experience to optimize Medline sales and customer experience enabling long-term partnership. Dive into an organization dedicated to precise product pricing, comprehensive market insights, seamless customer onboarding, and all the critical support our Salesforce needs for continuous growth.Under general supervision, work closely with a variety of stakeholders across the enterprise to develop and maintain departmental, business intelligence, reporting and analytics solutions.
Drive data-led business decisions by providing quantitative and qualitative data analysis and reporting of patterns, insights, and trends to decision-makers.
Influence business KPIs using statistics, data modeling and predictive analytics methods to build advanced solutions and processes.
Develop, monitor, and report department KPIs and metrics, translating business requirements into the appropriate analytics solution.
Job Description
Responsibilities:
Design, build and maintain complex operational analytics solutions to meet specific business requirements.
Produce actionable analyses, intelligence reports and dashboards that show key performance indicators, identify areas of improvement into current operations, and display root cause analysis of problems.
Create, review, and performance tune dashboards. Ensure dashboards are accurate and display meaningful visual stories.
Conduct data analysis in support of a variety of analytic solutions. Interpret data, analyze results, and provide insights to determine operational impact, trends, and opportunities.
Develop medium-complexity SQL scripts and procedures. This includes performance tuning of SQL code.
Work with business users to identify analytics requirements on Pricing and Sales Operations related projects.
Provide reporting solutions and respond to ad-hoc report requests across multiple business areas.
Requirements:
Education:
Bachelor’s Degree.
Work Experience:
At least 2 years of experience leveraging SQL for data analysis, ETL and performance tuning, preferably MS SQL Server and/or Azure SQL Server.
At least 2 years of experience developing and maintaining analytical and predictive models
At least 2 years of dashboard development experience using Tableau, Power BI or other similar technology.
Additional:
At least 2 years of data modeling experience.
At least 2 years of experience analyzing and reporting data in order to identify issues, trends, or exceptions to drive improvement of results and find solutions.
Advanced Excel skills, proficiency in MS Word, PowerPoint.
Experience working with operational analytics systems (ETL, CI/CD, ML Ops, etc.) preferred
Preferred Requirements:
Bachelor’s degree in Computer Science, Statistics, Math, Engineering or other related field.
Experience working with Python, R, Git, Jupyter, Azure, Power BI.
Experience working in an Agile/Kanban environment.
Benefits - Medline is committed to offering competitive benefits and a variety of choices to best meet the needs of you and your family. For employees scheduled to work at least 30 hours per week, this includes health and well-being, financial fitness, career development, paid time off and more. Employees scheduled to work less than 30 hours per week can participate in the 401(k) plan, access the Employee Assistance Program (EAP), Employee Resource Groups (ERG) and Medline Service Corps. For a more comprehensive list of our benefits, please click here.
Every day, we’re focused on building a more diverse and inclusive company, one that recognizes, values and respects the differences we all bring to the workplace. From doing what’s right to delivering business results, together, we’re better. Explore our Diversity, Equity and Inclusion page here.
Medline Industries, LP is an equal opportunity employer. Medline evaluates qualified applicants without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, protected veteran status, disability/handicap status or any other legally protected characteristic.
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