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Business Intelligence Specialist

Daikin

Posted Wednesday, May 7, 2025

Posting ID: DATAS005033_crt:1732446404801

Waller, TX
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The Business Intelligence Specialist serves as a strategic enabler, transforming data into clear insights that drive smarter business decisions across Daikin. At the intersection of technology, analytics, and business acumen, this role plays a pivotal part in empowering stakeholders with the intelligence needed to navigate complexity, seize opportunities, and accelerate business performance. By leveraging modern BI tools and best practices, the BI Specialist builds intuitive dashboards, develops automated reporting solutions, and surfaces key trends to unlock business value through Predictive and Prescriptive analysis. As a catalyst for data-informed culture, this individual collaborates across functions to ensure the right data reaches the right people at the right time-fueling Daikin's broader Digital Transformation and customer-centric growth strategy."

May include;
  • Gather, process, clean, enrich, and integrate structured and unstructured data to build advanced models to turn data into insights; creatively analyze data to understand drivers of historical business performance and build predictive models to inform future business strategies
  • Deep understanding of our organization's data structure; look for ways to improve to enhance our ability to perform robust data analysis; create new data sets when there is little or no data available, to inform marketing analysis
  • Engage with third-party data providers to strengthen and enrich data models as needed; inform purchase of net new data
  • Deeply understand all sources of data across the enterprise, link to data strategy, and continually evolve ability to measure and track key data points to enable data-driven decisions
  • Collect and provide quantitative and qualitative information to measure effectiveness of marketing activities and answer strategic business questions
  • Analyze and discern campaign execution, targeting and optimization of marketing investment to deliver sales and operating profit across brands
  • Utilize visualization solutions to improve timeliness of data delivery and provide better visibility to decision makers to help them monitor, measure, or predict how the company is performing
  • Perform marketing research & analysis to inform customer targeting & segmentation, in addition to longitudinal tracking of Customer Lifetime Value across the enterprise
  • Assist with internal assessments of workflow processes to identify inefficiencies, especially those where Marketing is involved, and propose more efficient processes and procedures via process automation leveraging tech platforms
  • Assist with maintenance and management of Marketing SQL database and Snowflake cloud data warehouse
  • Provide data science support and ad hoc analysis to enterprise leadership as needed
Nature and 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 and Skills:
  • Mastery of analytical skills with attention to detail; mastery of statistical analysis, machine learning process, computer science principles, and basic programming principles
  • Strong data storytelling ability - ability to produce actionable information/insights, not just data crunching
  • Very strong communication skills, both verbally and written, capable of communicating with people of many different levels of an organization
  • Experienced with experimentation and testing of Minimum Viable Products to determine if proposed business models / solutions scale up
  • Proficient in MS Office especially Excel; ability to translate data insights into PowerPoint presentations
  • Proficient in relational databases with strong experience in SQL - Microsoft SQL Server, Oracle, Postgres
  • Proficient with A/B testing and data science techniques to build and implement predictive models
  • Proficient with visualization tools such as Tableau, Qlik, or Microsoft Power BI (or similar applications)
  • Proficient with Python, R, Alteryx or other analytics platforms a plus (or similar applications)
  • Eager to make a big impact at a large company - you show up for work and get things done
  • Natural ability and desire to work on a team - goes the extra mile when needed; ability to work independently too
  • Ability to grasp complex concepts and systems quickly
  • Ability to manage multiple projects and shift direction quickly
  • Intellectual curiosity and strong passion for using data to solve problems creatively
Experience:
  • 5+ years of work experience in a Marketing / Consulting / Business Analyst / Data Science role, STRONGLY PREFERRED Business Intelligence
  • Mastery solving complex business problems involving a heavy amount of analytics / data science, STRONGLY PREFERRED Mastery in BI tools such as Tableau, Power BI
  • Marketing-based experience (either D2C or B2B performance marketing)
  • HVAC industry experience preferred, but not required
Education:
  • Bachelor's degree (required) in Marketing / Business / Engineering / Statistics / Mathematics / Economics / Computer Science; or other related degree with strong quantitative emphasis
  • Master's degree (required) in Data Science / Business Administration / Marketing
People Management: No

Physical Requirements / Working Environment;
  • Must be able to perform essential responsibilities with or without reasonable accommodations.
Reports to:
  • Director, Organizational Change Management
Qualified Applicants must be legally authorized for employment in the United States. Qualified applicants will not require employer sponsored work authorization now or in the future for employment in the United States.

The Company provides equal employment opportunity to all employees and applicants regardless of a person's race, color, religion (including religious dress or grooming practices), creed, national origin (including language use restrictions), citizenship, uniform service member or veteran status, ancestry, disability, physical or mental disability (including HIV/AIDS), medical condition (including cancer and genetic characteristics), genetic information, request for protected leave, marital status, sex, pregnancy, age (over 40), sexual orientation, gender, gender identity or expression, political affiliation, or any other characteristic protected by law. The Company will comply with all federal and state regulations and statutes pertaining to individuals with disabilities.
The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
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Communication
Mathematics
Sales
Leadership
Consulting
Management
Detail Oriented
People Management
Business Acumen
Data Analysis
Business Strategies
Microsoft Excel
Presentations
Marketing
Project Management
Dashboard
Python (Programming Language)
SQL (Programming Language)
Influencing Skills
Business Administration
Computer Science
Economics
Tableau (Business Intelligence Software)
Data Structures
Business To Business
Power BI
Analytical Skills
Statistical Analysis
Data Modeling
Organizational Change Management
Ad Hoc Analysis
R (Programming Language)
Business Valuation
Data Science
Machine Learning
Data-Driven Decision Making
Digital Transformation
Predictive Modeling
Business Intelligence
Data Warehousing
Statistics
Relational Databases
A/B Testing
Data Strategy
Marketing Research
Business Process Automation
Growth Strategies
Intellectual Curiosity
Alteryx
PostgreSQL
Unstructured Data
Data Storytelling
Prescriptive Analytics
Marketing Analysis
SQL Server Oracle

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