Strategic Planning Analyst 2 (Environmental Promotion Office)

Daikin Comfort • Waller, TX

14d

About The Position

Strategic Planning Analyst 2 (Environmental Promotion Office) will actively participate in broad-based analysis. This includes demonstrating a basic understanding of macroeconomic trends and their impact on our business model. Candidates will work closely with business units and divisions to develop excel-based decision models, and take part in cross-functional projects, meet due dates, and deliver on time. The ability to conduct quantitative and qualitative research using macro to micro level data will be an important component in order to develop business cases for business transformation to support core strategies. Candidates will be expected to communicate effectively, work well in groups, and accept and implement feedback from superiors and peers. This position has high visibility to senior levels of management. Position Responsibilities: Data Engineering Codes in cloud and other environments (Snowflake, Databricks, Matillion, SSMS) to perform basic ETL operations on data sets (e.g., using Python or SQL) Data Analysis Works with various data sources individually to provide analysis, as directed Breaks down micro-level problems into key components; able to understand macro-level problems Gathers and summarizes qualitative data through various methods, with support Uses familiarity with data to contribute specified pieces of story through PowerPoint or other written means, with supervision Project Management Creatively contributes to project deliverables, with support Assists with communication and planning of projects Perform additional projects/duties to support ongoing business needs Nature & Scope: Applies advanced knowledge of job area typically obtained through advanced education and work experience Manages projects and processes while working independently and with limited supervision Coaches and reviews the work of lower-level professionals Problems faced are difficult and sometimes complex; takes a new perspective on existing solutions Knowledge & Skills Data Engineering Familiar with multiple data transformation (ETL) tools, including one or more cloud technologies (Snowflake, Databricks, Matillion) Data Analysis Uses attention to detail and correct mathematics to produce accurate data analysis Able to recognize when help is needed to complete analysis properly Project Management Understands and can communicate at a detailed level about complex concepts Competencies Data Engineering Implements simple systems within a reasonable timeframe. Capable of learning to build robust and complex systems Data Analysis Adds clarity to complicated data through visualization techniques, given sufficient time and feedback Can prepare a variety of visualizations (in Tableau) and possesses some troubleshooting capability Performs exploratory analysis and provides cuts of data to address specific questions Project Management When presenting, understands context of prepared content sufficiently to answer unanticipated questions

Requirements

• 3-5 years prior relevant experience (Data Engineering, Data Science, Data/Business Analysis, Consulting)
• Bachelor’s degree (Quantitative: Statistics, Mathematics, Business, Economics, Other STEM)
• Familiar with multiple data transformation (ETL) tools, including one or more cloud technologies (Snowflake, Databricks, Matillion)
• Uses attention to detail and correct mathematics to produce accurate data analysis
• Able to recognize when help is needed to complete analysis properly
• Understands and can communicate at a detailed level about complex concepts
• Implements simple systems within a reasonable timeframe. Capable of learning to build robust and complex systems
• Adds clarity to complicated data through visualization techniques, given sufficient time and feedback
• Can prepare a variety of visualizations (in Tableau) and possesses some troubleshooting capability
• Performs exploratory analysis and provides cuts of data to address specific questions
• When presenting, understands context of prepared content sufficiently to answer unanticipated questions

Nice To Haves

• MBA preferred

Responsibilities

• Codes in cloud and other environments (Snowflake, Databricks, Matillion, SSMS) to perform basic ETL operations on data sets (e.g., using Python or SQL)
• Works with various data sources individually to provide analysis, as directed
• Breaks down micro-level problems into key components; able to understand macro-level problems
• Gathers and summarizes qualitative data through various methods, with support
• Uses familiarity with data to contribute specified pieces of story through PowerPoint or other written means, with supervision
• Creatively contributes to project deliverables, with support
• Assists with communication and planning of projects
• Perform additional projects/duties to support ongoing business needs

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level