Nature's Sunshine
We are seeking a senior, experienced analytics engineer to join our team and take charge of designing, building, and optimizing a data warehouse as the single source of truth for all financial data at Nature's Sunshine. This role requires strong expertise in data architecture, ETL/ELT processes, and data modeling, along with proficiency in SQL, Python, and modern analytics tools. You'll collaborate closely with data architects, the financial planning and analysis team, and business process owners, to create robust data pipelines and maintain a reliable analytics infrastructure. Success in this role requires an innovative, problem-solving mindset and the ability to transform complex information into high-quality data models for strategic decision-making.
What You'll Do
Architect and Build:
Navigate a complex landscape of internal processes, data sources, and business models to establish a robust data warehouse for NSP's financial data
Collaborate with Stakeholders : Partner with analysts and business stakeholders to translate their data needs into technical requirements and effective data models
Implement ETL/ELT Processes : Collaborate with data engineers to design and execute ETL/ELT processes to feed the data lake and produce structured datasets that facilitate high-quality analysis
Optimize Data Models : Design, maintain, and optimize data models in SQL, Power BI, and other tools, to drive impactful reporting and analysis
Manage Quality : Create and manage data transformation workflows, including cleaning, integration, and validation processes, ensuring high data accuracy and usability
Create Dashboards : Develop advanced, interactive dashboards and reports in Power BI that provide valuable insights for decision-making
Maintain Documentation : Produce comprehensive documentation for data structures, transformation logic, and data lineage to enhance transparency and data literacy across the organization
Enhance Data Integration : Lead the development and maintenance of master data management (MDM) practices to optimize data integration and analytical value
Project Management : Develop and manage project plans, milestones, and deliverables for data and analytics initiatives, ensuring alignment with business objectives and timelines
Advocate for Best Practices : Contribute to a culture of high-quality data management by advocating for best practices in data quality, governance, and security
What You Need to Succeed
Education and Experience
Bachelor's degree in computer science, data science, engineering, or a related field
3+ years of experience in analytics engineering, business intelligence, or data engineering
Technical Skills
Proficiency in designing and managing data warehouses or data lakes
Strong experience in data modeling (e.g., star schema, snowflake schema), with an understanding of dimensional and relational modeling best practices.
Familiarity with version control systems (e.g., Git) and collaborative workflow tools.
Solid SQL expertise
Proficiency in at least one programming language commonly used in data engineering, such as Python or Scala
Familiarity with BI tools such as Power BI and the ability to develop and optimize dashboards
Knowledge of best practices in data management, including data governance, quality, and security
Familiarity with Azure DevOps and experience working in Agile methodologies is advantageous
Analytical and Problem-Solving Skills
Strong analytical rigor to navigate a complex environment of internal processes, information systems, and business models
Proactive and highly organized approach to troubleshoot data quality issues, optimize data processes, and ensure accuracy and reliability
Project Management and Collaboration
Excellent communication and interpersonal skills, with the ability to work effectively with both technical and non-technical stakeholders
Experience working in cross-functional teams, collaborating effectively with analysts, engineers, and stakeholders to ensure alignment on objectives
Ability to prioritize tasks, manage timelines, and handle multiple projects, ensuring timely and organized completion of initiatives
#ZR
Nature's Sunshine manufacture's natural herbal products that
share the healing power of nature with everyone. We are focused
on preserving nature's power for future generations, through sustainable practices, reducing waste and using 100% renewable energy at our manufacturing facility. We are an equal opportunity employer, dedicated to leveraging the diverse backgrounds and experiences of our team, creating a positive culture, and ensuring every employee is treated with fairness and respect.
What You'll Do
Architect and Build:
Navigate a complex landscape of internal processes, data sources, and business models to establish a robust data warehouse for NSP's financial data
Collaborate with Stakeholders : Partner with analysts and business stakeholders to translate their data needs into technical requirements and effective data models
Implement ETL/ELT Processes : Collaborate with data engineers to design and execute ETL/ELT processes to feed the data lake and produce structured datasets that facilitate high-quality analysis
Optimize Data Models : Design, maintain, and optimize data models in SQL, Power BI, and other tools, to drive impactful reporting and analysis
Manage Quality : Create and manage data transformation workflows, including cleaning, integration, and validation processes, ensuring high data accuracy and usability
Create Dashboards : Develop advanced, interactive dashboards and reports in Power BI that provide valuable insights for decision-making
Maintain Documentation : Produce comprehensive documentation for data structures, transformation logic, and data lineage to enhance transparency and data literacy across the organization
Enhance Data Integration : Lead the development and maintenance of master data management (MDM) practices to optimize data integration and analytical value
Project Management : Develop and manage project plans, milestones, and deliverables for data and analytics initiatives, ensuring alignment with business objectives and timelines
Advocate for Best Practices : Contribute to a culture of high-quality data management by advocating for best practices in data quality, governance, and security
What You Need to Succeed
Education and Experience
Bachelor's degree in computer science, data science, engineering, or a related field
3+ years of experience in analytics engineering, business intelligence, or data engineering
Technical Skills
Proficiency in designing and managing data warehouses or data lakes
Strong experience in data modeling (e.g., star schema, snowflake schema), with an understanding of dimensional and relational modeling best practices.
Familiarity with version control systems (e.g., Git) and collaborative workflow tools.
Solid SQL expertise
Proficiency in at least one programming language commonly used in data engineering, such as Python or Scala
Familiarity with BI tools such as Power BI and the ability to develop and optimize dashboards
Knowledge of best practices in data management, including data governance, quality, and security
Familiarity with Azure DevOps and experience working in Agile methodologies is advantageous
Analytical and Problem-Solving Skills
Strong analytical rigor to navigate a complex environment of internal processes, information systems, and business models
Proactive and highly organized approach to troubleshoot data quality issues, optimize data processes, and ensure accuracy and reliability
Project Management and Collaboration
Excellent communication and interpersonal skills, with the ability to work effectively with both technical and non-technical stakeholders
Experience working in cross-functional teams, collaborating effectively with analysts, engineers, and stakeholders to ensure alignment on objectives
Ability to prioritize tasks, manage timelines, and handle multiple projects, ensuring timely and organized completion of initiatives
#ZR
Nature's Sunshine manufacture's natural herbal products that
share the healing power of nature with everyone. We are focused
on preserving nature's power for future generations, through sustainable practices, reducing waste and using 100% renewable energy at our manufacturing facility. We are an equal opportunity employer, dedicated to leveraging the diverse backgrounds and experiences of our team, creating a positive culture, and ensuring every employee is treated with fairness and respect.