Austin, TX, USA
3 days ago
Sr. Business Data Analyst

Job Title

Omnicell’s Global Optimization and Process is seeking an experienced Senior Data Analyst. The successful candidate will work closely with business partners to drive strategy and execution of global operations analytics. This is a fast-paced, highly technical, and continually evolving manufacturing business with significant growth potential.

 

Responsibilities

Partner with Planning, Manufacturing, Procurement, Quality and Logistics teams to understand the Analytics and System Enhancement needs Work with Cross functional teams to put together Business requirements for System Enhancements and developing Metrics and KPIs Dashboard Translate business requirements related to reporting and dashboards down to the data elements Proficiency with SAP data bases tables for material master, vendor master, customer master, cost centers, production, quality management and procurement transactions and their relationships Data storytelling abilities, as well as the ability to articulate technical information to a non-technical audience  Create dashboards for various data representations using Tableau to drive business value Develop reports and dashboards using SQL queries Data extraction, ad-hoc reports, standard reports, and visualization Play a key role in our data governance initiative by developing data standards, data governance and data integrity monitoring. Provide insights and recommendations for material lifecycle management, capacity planning, and safety stock levels Play a key role in our data governance initiative by developing data standards, data governance and data integrity monitoring. Provide insights and recommendations for material lifecycle management, capacity planning, and safety stock levels Drive solution development, internal customer communications and provide training to business partners on reports and visualization Identify and develop new reporting to drive operational improvement  Solve complex cross-functional data quality problems

 

Required Knowledge and Skills

Strong technical knowledge and understanding of SAP master data elements and processes Excellent working knowledge of BOMs/routings, operations processes, MRP setup and operations Strong analytical skillset and ability to translate business processes and data into insights and solutions Strong visualization skills and experience building and managing data visualization dashboards using Tableau Data analysis – Must have proficiency with SQL, Microsoft Excel Strong data analysis and data interpretation abilities Experience in predictive modeling and statistical analysis. The ability to develop and implement models that can predict and influence outcomes. Project management skills to enable the prioritization of tasks for Supply Chain Problem solving mindset, and an outstanding business data analytics acumen Proven Microsoft Excel skills (pivot tables, Macros, High level formulas SUMIF, VLOOKUP, HLOOKUP, etc.) Leads and performs master data analysis, data cleansing Knowledge of ETL tools, Master Data Governance processes Ability to write Functional and Tech Specifications, Test Scripts, execute the test cycles Good analytical skills to perform root cause analysis, interpret data, and resolve issues Strongly demonstrated written / verbal communication and interpersonal skills

 

Basic Qualifications

Bachelor’s degree with Data Analytics experience within Manufacturing Environment Minimum of 4 years of experience with BI Tools, Tableau and SQL Minimum of 2 years of experience with ETL Tools 4 years of experience in Supply Chain / Manufacturing Environment 4 years of Functional Analyst Experience in any of MM/PP/SD SAP Modules

 

Preferred Qualifications

Master’s degree  4 years of experience with Tableau  6 years of hands-on experience on SAP Master Data Tableau site administration experience  Experience with ETL tools like Microsoft SSIS, Tableau Prep or Alteryx  Exposure to C4C, SalesForce and/or S/4Hana is desirable

 

Work Conditions

Occasional work outside normal business hours is required
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