Regulatory Compliance Analyst Job at Samprasoft, Bentonville, AR

  • Samprasoft
  • Bentonville, AR

Job Description

Regulatory Compliance AnalystClient Environmental, Health & Safety Compliance is seeking a motivated Regulatory Compliance Analyst with strong analytical and communication capabilities. Analyst role is an entry level job position, supporting the enablement of evolving business growth while maintaining compliance. Here are some of the things you'll be responsible for:Monitor and troubleshoot products through the item setup process, preventing and/or resolving product impacts/delays to the customer while minimizing business risk.Perform large scale data quality control efforts, leveraging experience to build small scale automation workflows in Business Intelligence applications such as Power BI or TableauPerform data collection and analysis to identify developing trends and uncover root cause of issues, providing management with relevant information that will facilitate informed decisions.Interpret data using specific methods and technologies and create reports on patterns and trends identified within data sets.Create visualizations, including summaries and graphs to relay business concepts through visuals to colleagues and other relevant stakeholders.Contribute to the building of complex data sets and conduct intricate data analysis based on business needs.Work on optimizing reporting and dashboards to meet business requirements and create opportunities for automation, improvements, and scalability.Synthesize data into actionable insights to support decision-making at the strategic level across the organization.Below are key job functions to be successful:Strong business acumen and judgmentSelf-starter, with intense curiositySolid problem-solving fundamentals and excellent attention to detailProcess-minded with focus on streamliningStrong organizational skills with the ability to multi-task and prioritize work.Superior written and verbal communication skillsAbility to work effectively in a team environment and independentlyPreferred QualificationsBachelor’s degree in tech, business, science, or relatedExpertise with programming with Python to perform complex statistical analysis of large datasets.Knowledge of AI and machine learning applications.Proficient in SQL, data warehousing and advanced Excel skills, using large-scale, complex datasets.

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