About Sub-Zero Group
Sourced by ZipRecruiter
Industry
Manufacturing
Company size
1,001 - 5,000 Employees
Headquarters location
Madison, WI, US
Year founded
1945
Full-time
Medical, Dental, Vision, Retirement
Posted 5 hours ago
Job description
Sub-Zero, Wolf, and Cove the leading manufacturer of luxury kitchen appliances is a longstanding, family-owned company in the Madison area. Icons of design and paragons of performance and quality, Sub-Zero, Wolf, and Cove are the refrigeration, cooking, and dishwashing specialists found in world's most luxurious homes. We look for team members who are driven by innovation and excellence, striving to serve our customers by doing what is right-with integrity, teamwork, and accountability.
The Data and Analytics Team within the Information Technology department provides enterprise data engineering, analytics, reporting, visualization, and predictive analytics solutions. The team utilizes a wide variety of advanced tools and technologies and works directly with a diverse community of leaders and stakeholders.
Growth and development are important aspects of this position. Whether you aspire to be a leader or a technical expert, this position will set you up for success in the future.
Primary Responsibilities
The Data Analyst II gathers, analyzes, and interprets data from across the organization delivering descriptive and predictive information for decision making. They design, develop, test, and implement data analyses, reporting, and visualizations to enable efficient, meaningful, and high value consumption of information assets. This role partners with business stakeholders to deeply understand their data needs and enable them with analysis techniques and reporting tools.
We value our employees by providing:
This position requires a pre-employment drug/alcohol test and background check, which will be administered after a conditional job offer is extended. A negative drug/alcohol test result is required for employment. Refusal to take the test or a positive result may disqualify a candidate from further consideration. All drug testing will be conducted in accordance with federal and state laws.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.
The Data and Analytics Team within the Information Technology department provides enterprise data engineering, analytics, reporting, visualization, and predictive analytics solutions. The team utilizes a wide variety of advanced tools and technologies and works directly with a diverse community of leaders and stakeholders.
Growth and development are important aspects of this position. Whether you aspire to be a leader or a technical expert, this position will set you up for success in the future.
Primary Responsibilities
The Data Analyst II gathers, analyzes, and interprets data from across the organization delivering descriptive and predictive information for decision making. They design, develop, test, and implement data analyses, reporting, and visualizations to enable efficient, meaningful, and high value consumption of information assets. This role partners with business stakeholders to deeply understand their data needs and enable them with analysis techniques and reporting tools.
- Work directly with stakeholders to understand and transform business requirements into data-driven solutions
- Work iteratively, deploying changes using a CI/CD framework
- Create relational and dimensional data models
- Prepare reports and data visualizations
- Proactively identify and mitigate data quality issues
- Identify correlations, patterns, and trends in data sets
- Train and mentor peers
We value our employees by providing:
- Competitive compensation based on skills
- Industry leading health, dental, and vision plans
- Generous 401 (K) savings and profit sharing
- On-site UW Health clinic, fitness center, and walking paths
- Education assistance and internal training programs
- Electric vehicle charging
- Maternity & paternity leave
- Interested in learning more on our robust benefits package we offer? Click here!
This position requires a pre-employment drug/alcohol test and background check, which will be administered after a conditional job offer is extended. A negative drug/alcohol test result is required for employment. Refusal to take the test or a positive result may disqualify a candidate from further consideration. All drug testing will be conducted in accordance with federal and state laws.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.
subzero-wolf.com
Frequently asked questions
Q: What skills or qualities help someone succeed as a Data Analyst?
A: To succeed as a Data Analyst, key technical skills include proficiency in programming languages such as Python or R, expertise in data visualization tools like Tableau or Power BI, and knowledge of statistical analysis and machine learning concepts. Additionally, strong soft skills like effective communication, problem-solving, and collaboration are crucial for presenting insights to stakeholders and working with cross-functional teams. By combining these technical and soft skills, Data Analysts can drive business decisions, identify areas for improvement, and contribute to the growth and success of their organization.
Q: What is the career path for a Data Analyst?
A: A Data Analyst's typical career progression involves starting as an Entry-Level Data Analyst, where they collect, analyze, and interpret data to inform business decisions. As they gain experience, they can move into Mid-Level roles such as Senior Data Analyst or Business Analyst, where they take on more complex projects and lead smaller teams. Ultimately, they can advance to Senior Leadership positions like Data Scientist, Data Manager, or even Director of Analytics, where they oversee large-scale data initiatives and drive strategic business growth.\n\nKey opportunities for skill development and professional growth in this role include learning programming languages like Python or R, mastering data visualization tools like Tableau or Power BI, and staying up-to-date with emerging trends in machine learning and artificial intelligence. Additionally, Data Analysts can develop soft skills like communication, project management, and leadership to excel in their roles.\n\nLong-term career prospects for Data Analysts are diverse, with potential directions including transitioning into related fields like Business Intelligence, Data Engineering, or even becoming a Product Manager, or pursuing advanced degrees in Data Science or related fields to further specialize in areas like machine learning or data engineering.
