Bayer - Saint Louis, MO

posted 2 months ago

Full-time - Mid Level
Remote - Saint Louis, MO
5,001-10,000 employees
Professional, Scientific, and Technical Services

About the position

As a Data Analyst at Bayer in St. Louis, MO, you will play a crucial role in collaborating with business and analytics stakeholders to support the execution of global commercial strategies. Your primary responsibility will be to derive insights from data that will influence business decision-making and performance. You will develop data analytic systems, processes, and reporting solutions tailored for business and operations teams. This position requires you to design and execute analytical experiments that provide business stakeholders with valuable customer- and product-related insights. Additionally, you will conduct exploratory data analysis, summarize findings, and present them to stakeholders and leadership. You will also lead reporting and analytics projects and train junior team members, fostering a collaborative and educational environment. To succeed in this role, you will need a Bachelor's degree in Computer Science, Information Systems, Mathematics, Statistics, or a closely-related quantitative field, along with three years of experience in master data management of product sales and/or user account data for business reporting. You should be proficient in working with relational and columnar databases, ETL processes, and data warehousing methods. Your technical skills should include using SQL to query large, complex datasets to analyze business performance, as well as using Python and/or R to develop performance dashboards, statistical reports, and metrics. You will also be responsible for developing data processes using business information platforms such as Tableau, Spotfire, and/or Looker, and designing analytical experiments to deliver business insights and proof of concepts to stakeholders. Analyzing statistical reports to uncover patterns and correlations between product features and user engagement data will also be part of your duties. Furthermore, you will utilize MS Excel for data mining, statistical analysis, and developing data visualizations to understand customer interactions with products. Building predictive models to provide data-driven insights that support strategic business decision-making will be essential in this role. This position allows for telecommuting from a home office location within a reasonable commuting distance of St. Louis, permitting up to three days per week. Interested candidates can mail their resume to Jill Martin at Climate LLC or email it to the provided address, referencing Job Code 3604.

Responsibilities

  • Collaborate with business and analytics stakeholders to support global commercial strategies.
  • Derive insights from data to influence business decision-making and performance.
  • Develop data analytic systems, processes, and reporting solutions for business and operations teams.
  • Design and execute analytical experiments to provide customer- and product-related insights.
  • Conduct exploratory data analysis and summarize findings for stakeholders and leadership.
  • Lead reporting and analytics projects and train junior team members.

Requirements

  • Bachelor's degree in Computer Science, Information Systems, Mathematics, Statistics, or a closely-related quantitative field.
  • 3 years of experience performing master data management of product sales and/or user account data for business reporting.
  • Experience working with relational and columnar databases, ETL, and data warehousing methods.
  • Proficiency in SQL to query large, complex datasets for business performance analysis.
  • Experience using Python and/or R to develop performance dashboards, statistical reports, and metrics.
  • Familiarity with business information platforms such as Tableau, Spotfire, and/or Looker.
  • Ability to design analytical experiments to deliver business insights and proof of concepts to stakeholders.
  • Experience analyzing statistical reports to uncover patterns and correlations between product features and user engagement data.
  • Proficiency in MS Excel for data mining, statistical analysis, and developing data visualizations.

Nice-to-haves

  • Experience with predictive modeling to provide data-driven insights.
  • Familiarity with advanced statistical analysis techniques.

Benefits

  • Industry leading 401K match up to 10%.
  • Complete health benefits package including dental, vision, and mental health care.
  • Employees enjoy 30+ days of vacation and holiday days throughout the year.
  • 10 paid weeks of parental leave for all new parents.
  • Hybrid work model mixing on-site and remote work.
  • Tuition reimbursement and leadership training opportunities.
  • Paid time off for volunteer activities.
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