Business Intelligence Lead

Amphenol RF•Danbury, CT

About The Position

JOIN OUR TEAM @ AMPHENOL RF , the world's largest manufacturer of coaxial interconnect products for radio frequency, microwave, and data transmission applications, and a proven leader in enabling next-gen technology! Our global team of experienced engineers develops innovative solutions utilizing the most advanced manufacturing technology available, and we specialize in creating custom solutions that meet customer-specific design requirements. With consistent year over year growth, innovative technology, and a team that breeds success, we are always seeking top-tier, high-performing talent to join us! We are headquartered in Danbury, Connecticut, and a division of Amphenol Corporation (NYSE ticker: APH), an industry leader for more than fifty years. At Amphenol RF , you can expect a competitive salary and comprehensive benefits (medical, dental, vision, matching 401K, FSA, employer-paid life insurance), favorable work/life balance, a generous PTO allowance and paid holidays, an engaging and collaborative work environment, numerous opportunities for career growth, and an entrepreneurial focus that encourages employees to chart their own paths. We are currently seeking a Business Intelligence Lead to a ccelerate enterprise-wide business intelligence and process improvement through regular collaboration with multiple business departments as well as IT, establishing robust data sources and business analytics for ‘one source of truth’. Assists with data governance across systems and global sites. Produces low-maintenance, insightful dashboards while increasing Tableau user proficiency to accelerate Amphenol RF’s ability to quickly review and respond to business trends. Creates timely data analyses as requested to address urgent business needs. Additionally, this role is instrumental in advancing AI initiatives, technical policies, and processes that improve sustainability and support scalable business growth.

Requirements

Bachelor’s degree in Business Intelligence, Computer Science or related discipline with 3+ years’ experience
In-depth knowledge of Tableau architecture and permissions, including Tableau Server
Experience working with ERP data & associated business reporting (sales, supply chain, mfg, etc.)
Experience with Python, ETL, SQL queries, code integration, MS SQL DB, data warehousing
Data architecture, data modeling, data mapping, data analysis, data visualization, BI best practices
Passionate about data integrity and impactful analytics
Demonstrated success translating business requirements into streamlined data solutions
Demonstrated ability to learn new programs and approach new problems in an efficient methodical manner
Strong Excel skills (esp. Power Query, Power Pivot, macros)
Strong collaborator who facilitates teamwork and is a highly motivated self-starter
Process-oriented with strong analytical/problem-solving and attention to detail; methodical and structured, but flexible

Nice To Haves

Tableau Certification preferred
Familiarity with AI frameworks is highly desirable

Responsibilities

Provide input and guidance on business intelligence-related architecture (logical and physical data models) to enable efficient enterprise reporting; collect, normalize, aggregate data
Work with IT and relevant business departments to identify, govern, validate & centralize master data
Enhance Tableau setup, development and usage standards; manage Tableau platform (access control, stale content, etc.)
Facilitate cross-functional alignment of reporting needs to minimize duplication of effort and maximize sustainability, scalability
Optimize self-service reporting through the creation of re-usable interactive Tableau dashboards, balancing performance and function
Generate and maintain Tableau user documentation including standard metrics definitions; conduct regular training
Document business requirements and related data design, develop solutions and manage change (pre- and post-implementation)
Facilitate Tableau issue resolution
Provide ongoing clear communication to management, key stakeholders, and IT
Contribute to the advancement of standards and processes for data governance across the organization
Work cross-functionally to identify and execute AI-driven initiatives that optimize business processes.