Data Analyst II

Andersen CorporationCottage Grove, MN
2d

About The Position

At Andersen, we see possibility everywhere, every day and in everything we do. The possibility for our employees to achieve their full potential, for our communities to be stronger and for everyone to have a healthier, happier place to live. Our portfolio of brands — Andersen Windows & Doors, Renewal by Andersen and Fenetres MQ — is crafted to serve customers across the new residential, home improvement and light commercial building sector. Join our more than 13,000 employees who are inspired every day to deliver exceptional experiences that turn possibility into reality. Job Description: Position Purpose: The Analyst plays a pivotal role in bridging the gap between business needs and data-driven solutions. This professional utilizes their business expertise to closely collaborate with product owners, data engineers, and stakeholders to define and refine product requirements, leveraging data insights to inform strategic decisions. They are responsible for analyzing user behavior, market trends, and product performance metrics to guide feature development, optimize user experience, and drive business growth. In this role, the analyst serves as a subject matter expert (SME), ensuring data quality and governance, translating complex datasets into actionable insights, and supporting the creation of self-service analytics platforms. Strong communication and strategic thinking are essential, as the analyst must present findings clearly and influence cross-functional teams. Technical Skills and Expertise Data Analysis & Visualization: Skilled in tools like Excel, Tableau, Power BI, etc. for data analysis and visual storytelling. Business Intelligence Tools: Experience with BI platforms and reporting tools to create dashboards and monitor KPIs. Process Modeling & Workflow Analysis: Familiar with tools like Visio or Lucidchart to map and optimize business processes. Software Testing Principles: Understanding manual and automated testing, test cases, and QA processes. Agile Methodologies: Comfortable working in Agile environments using tools like JIRA for backlog and sprint management. Requirements & Documentation: Skilled in gathering, analyzing, and documenting business and technical requirements. Data Governance & Quality Assurance: Ensures data integrity and consistency across systems and reports. Programming Basics: Exposure to scripting languages such as SQL for data manipulation and automation. Stakeholder Communication: Ability to translate technical findings into business language and influence decision-making

Requirements

  • Bachelor's degree in a quantitative field (Computer Science, MIS, or related field) or relevant work experience equivalent
  • Intermediate SQL Knowledge, Intermediate ELT knowledge and basic Data Modeling skills
  • Minimum of 5 years’ IT experience and 3 years working with data either in the form of report building or querying data for analytical purposes.
  • Strong conceptual and communication skills in context of translating business needs into technical solutions
  • Experience in measurement and analysis, quantitative business problem solving, operational and business analytics delivery
  • Intermediate level project management/agile skills

Responsibilities

  • Independently elicit requirements & analysis for creation of enterprise data assets.
  • Create reports and contribute to various data governance & management initiatives.
  • Research and analyze data to drive business decisions.
  • Partner with Data Engineers, Stakeholders, and Product Owner to understand requirements and business processes.
  • Independently support the development and maintenance of enterprise data sets, reporting systems and/or reporting tools to provide business value.
  • Support ad hoc research and analysis activities.
  • Present and communicate insights from research and analysis. to business users and managers.
  • Contribute to Data Catalog and Analytics Community of Practice
  • Present and explain complex analytics concepts & methodologies to non-technical business partners.
  • Relies on experience to plan and accomplish goals.
  • May provide work direction to associate analyst or cross functional support team members.

Benefits

  • 401 (k) Plan, Employer Fixed Contributions & Company Matching
  • Profit Sharing
  • Medical, Dental and Vision Coverage
  • Flexible Spending Accounts (FSAs), Health Savings Account (HSA) and Health Reimbursement Account (HRA)
  • Life Insurance
  • Paid Time Off & Paid Holidays
  • Paid Maternity Leave & Paid Parental Leave
  • Career Growth Planning & Nationwide Career Opportunities
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