At Bayer we're visionaries, driven to solve the world's toughest challenges and striving for a world where ,Health for all, Hunger for none' is no longer a dream, but a real possibility. We're doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining 'impossible'. There are so many reasons to join us. If you're hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there's only one choice.

Regulated Compliance Data Analyst (Crop Science R&D) 

YOUR TASKS AND RESPONSIBILITIES

The primary responsibilities of this role, Regulated Compliance Data Analyst (Crop Science R&D), are to: 

• Acquire data from primary or secondary data sources (single or multiple systems);
• Develop and implement queries/databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality;
• Manage and design the reporting environment, including data sources, security, and metadata;
• Support the data warehouse in identifying and revising reporting requirements;
• Support initiatives for data integrity and normalization;
• Provide technical expertise in data storage structures, data mining, and data cleansing;
• Identify, analyze, and interpret trends or patterns in complex data sets;
• Filter and perform quality assurance of data by reviewing reports/outputs, and key performance indicators to locate and correct code problems;
• Manage access of data for users and user roles;
• Train end-users on new reports and dashboards;
• Work with management to prioritize business and information needs;
• Locate and define new process improvement opportunities;
• Contribute to the implementation of the corporate data stewardship strategy.

WHO YOU ARE                                         

Your success will be driven by your demonstration of our LIFE (Leadership Integrity Flexibility Efficiency) values. More specifically related to this position, Bayer seeks an incumbent who possesses the following:

Required Qualifications:

• Minimum of Bachelor’s degree;
• Two or more years of working experience as a Data Analyst, Business Data Analyst or similar role;
• Strong experience in data models, database design development, data mining and segmentation techniques;
• Strong knowledge of and experience with reporting and visualization packages;
• Knowledge of statistics and experience using statistical packages for analyzing datasets;
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy;
• Ability to translate business requirements into non-technical, lay terms;
• Adept at queries, report writing and presenting findings.

Preferred Qualifications:

• Degree in Mathematics, Computer Science, Information Management, Statistics and/or closely related field;
• Experience utilizing reporting and visualization packages such as Microsoft Power BI, Tableau and/or Spotfire;
• Experience accessing data from databases such as SQL or similar;
• Experience programming with XML, JavaScript, and/or ETL frameworks;
• Experience utilizing Excel, SPSS, SAS, and/or similar software for statistical analysis;
• Experience in driving business process towards new digital solutions;
• Proactive, highly motivated, and flexible with the ability to adapt to a fast-paced, dynamic work environment;
• Track record of demonstrating innovation and creativity;
• Strong analytical and problem-solving skills.

Visa Sponsorship may be available for this role.

Position may be based in Chesterfield, Missouri or residence-based.  

#LI-AMSUS

Employees can expect to be paid a salary between $85,800 to $118,000.? Additional compensation may include a bonus or commission (if relevant).? Additional benefitChriss include health care, vision, dental, retirement, PTO, sick leave, etc..? This salary (or salary range) is merely an estimate and may vary based on an applicant’s location, market data/ranges, an applicant’s skills and prior relevant experience, certain degrees and certifications, and other relevant factors. 

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