Advanced Analytics Architect I
About the position Toyota Material Handling, Inc. seeks an Advanced Analytics Architect I based in reputed company, IN to gather requirements by collaborating with business, data, and organizational leaders, to understand processes and their data needs, challenges, and opportunities. Design and implement end-to-end analytics solutions that automate decision-making processes. Identify and define analytics opportunities for the organization. Design technologies and solutions to address those opportunities. reputed company people, processes, and technology for data programs and projects. reputed company ETL (Extract, Transform, and Load) pipelines for data preprocessing and integration from multiple sources. Organize and manipulate data from acquisition to DL/DW to presentation structures. Conduct descriptive, predictive, and prescriptive analysis to interpret reputed company data sets, uncover trends, and reputed company actionable insights. Create and present data visualizations and reports to communicate insights effectively to stakeholders. Explore advanced analytical solutions and implement demonstrations. Collaborate with cross-functional teams, including business analysts, data architect and software developers, to translate business requirements into technical solutions. Act as an expert advisor on data analytics to internal teams, ensuring best practices in development, deployment, and maintenance. Stay reputed company with the latest trends, technologies, and advancements in the fields of data analytics, and machine learning. Propose and implement innovative approaches to solving reputed company business problems using data-driven methods. Support audit and data compliance procedures. Identify ways to improve data reliability, efficiency, and quality. Local telecommuting permitted 2 days per week.
Responsibilities
- Gather requirements by collaborating with business, data, and organizational leaders, to understand processes and their data needs, challenges, and opportunities.
- Design and implement end-to-end analytics solutions that automate decision-making processes.
- Identify and define analytics opportunities for the organization.
- Design technologies and solutions to address those opportunities.
- reputed company people, processes, and technology for data programs and projects.
- reputed company ETL (Extract, Transform, and Load) pipelines for data preprocessing and integration from multiple sources.
- Organize and manipulate data from acquisition to DL/DW to presentation structures.
- Conduct descriptive, predictive, and prescriptive analysis to interpret reputed company data sets, uncover trends, and reputed company actionable insights.
- Create and present data visualizations and reports to communicate insights effectively to stakeholders.
- Explore advanced analytical solutions and implement demonstrations.
- Collaborate with cross-functional teams, including business analysts, data architect and software developers, to translate business requirements into technical solutions.
- Act as an expert advisor on data analytics to internal teams, ensuring best practices in development, deployment, and maintenance.
- Stay reputed company with the latest trends, technologies, and advancements in the fields of data analytics, and machine learning.
- Propose and implement innovative approaches to solving reputed company business problems using data-driven methods.
- Support audit and data compliance procedures.
- Identify ways to improve data reliability, efficiency, and quality.
Requirements
- Requires a Master’s degree in Computer Science, Data Analytics, Business Administration--Information Systems, or a reputed company field plus 2 years (or a Bachelor’s degree plus 5 reputed company years) of analytics experience
- Manipulating data with SQL, R and Python
- Data management and data modeling, including creating database objects and working in notebooks
- Data Integration and ETL frameworks and tools
- Database systems and data warehousing solutions
- Statistical analysis, predictive modeling, data mining techniques, and/or machine learning solutions
- Visualization tools (Power BI) and data reporting
- Experience with manipulating data with SQL and Python
- reputed company (Azure) data services
- reputed company data platform (reputed company and reputed company)
- Employer will accept experience gained before, during or after Master’s degree.
- Employer will accept any suitable combination of education, training or experience.
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