Sr Data Analyst

Primary location:
Remote or Lancaster, PA
Relocation offered:
No

Employment status :
Full-Time
Travel:
No
Non-compete:
No

The estimated base salary range for this role is $120,000 to $140,000 per year.
Individual pay is based upon location, skills and expertise, experience and other relevant factors

It means being immersed in a supportive culture that recognizes you as a key player in Armstrong's future. We are a large company with a local feel, where you will get to know and collaborate with leadership and your colleagues across the company.

By joining us, you'll have the opportunity to make the most of your potential. Alongside a competitive remuneration package, you will receive:

• A benefits package including: medical, dental, prescription drug, life insurance, 401k match, long-term disability coverage, vacation and sick time, product discount programs and many more.
• Personal development to grow your career with us based on your strengths and interests.
• A casual work environment where we have a recognition program for our team, and service awards. You will also be able to make the most of our fitness center and lunchtime cafe.
• A working culture that balances individual achievement with teamwork and collaboration. We draw on each other's strengths and allow for different work styles to build engagement and satisfaction to deliver results.

A Senior Data Analyst of Data & AI Enablement plays a critical role in advancing the organization's data-driven culture. This role is responsible for enabling business intelligence (BI) capabilities, driving data literacy, and implementing scalable self-service analytics. Acting as a bridge between IT and internal stakeholders, the Senior Data Analyst educates and empowers business leaders and users on the art of the possible with data and AI while establishing standards, governance, and best practices for BI development and usage.

This role combines hands-on analytics and BI development with enablement, training, and thought leadership to ensure data is trusted, accessible, and effectively used to drive business outcomes. As one of the organizations biggest champions and enabler of data and AI, the Senior Data Analyst will work with all level to ensure data and AI are viewed and used as an asset to enable the organization to meet their strategic objectives.

Lead enterprise-wide impact by shaping how data and AI are adopted, understood, and leveraged across the organization.

Own meaningful work that blends hands-on analytics with strategic enablement, training, and thought leadership.

Grow your technical and leadership skillset as you drive standards, governance, and scalable self-service analytics.

• Develop and enhance executive and operational dashboards and analytics solutions using enterprise BI tools (e.g., Power BI, Tableau).
• Translate business needs into clear requirements (user stories, acceptance criteria) and deliver analytics that drive measurable business outcomes.
• Partner with data engineering and platform teams to ensure datasets and models are reusable, scalable, well-documented, and business-friendly.
• Lead user acceptance testing (UAT) for analytics deliverables, including test scripts, workshops, and sign-off.

• Define and execute a roadmap for governed self-service analytics across the enterprise.
• Establish guardrails that enable business users to perform ad hoc analysis and build reports/dashboards responsibly and securely.
• Create an "enterprise certification" approach for both IT-built and business-built reports/dashboards (e.g., certified datasets, endorsed reports, naming/UX standards).

• Build and maintain BI development standards (data modeling, dashboard design, performance optimization, documentation).
• Create and maintain a data dictionary / KPI definitions in partnership with data owners and governance council.
• Promote consistent naming conventions, design standards, and documentation practices to improve trust and reuse.
• Partner with the Data & AI Governance Council to align analytics solutions with data quality, security, privacy, and compliance requirements.

• Design and deliver a data literacy and BI enablement program, including personas, learning paths, and role-based development tracks.
• Develop training content (hands-on workshops, job aids, videos, FAQs) and run office hours to support users at varying skill levels.
• Lead or co-lead BI Communities of Practice and user groups to share wins, tips, standards, and new capabilities.
• Create and execute an annual analytics communications plan (newsletters/Teams posts, training calendar, release notes, capability launches).

• Define and document standard operating procedures for analytics tools and licensing expectations (e.g., Power BI, Tableau, Alteryx).
• Support BI access…