Data Analytics Engineer

Position Summary
The Data Analytics Engineer is responsible for designing, developing, and delivering high-impact data visualizations, dashboards, and analytical products that enable informed decision-making across Palmer Holland. Positioned within the Information Technology Department, this role works horizontally across Business Analysis, FP&A, Commercial, and Executive teams to create a cohesive and trusted analytics experience.

• Lead the design and development of dashboards, visual analytics, and data products that enable fast, accurate decision-making across all business units.
• Translate ambiguous business questions into clear analytical requirements and high-value visual solutions.
• Create executive-caliber dashboards that are both aesthetically refined and highly functional, including content used for principal-facing applications and the Principal Portal.
• Iterate with Business Analysts, Commercial leaders, and the Executive team to ensure analytics products are intuitive, actionable, and aligned to business needs.
• Build semantic layers, data views, and analytical models in partnership with the Data Solutions Administrator and IT development teams.
• Write and maintain SQL queries, data extraction logic, and lightweight transformations needed to support visualizations.
• Ensure data definitions, filters, hierarchies, and calculations are consistent across dashboards.
• Establish and maintain visualization standards, UX patterns, naming conventions, and data storytelling best practices to ensure consistency and clarity.
• Act as a center-of-excellence partner who coaches Business Analysts in design quality, user experience, and dashboard performance.
• Support rationalization of dashboard/report sprawl and improve overall analytics adoption across the organization.
• Contribute to the design of analytics structures that support future GenAI use cases, including semantic models, governed datasets, and narrative insights.

• Advanced Knowledge of IT security best practices.
• Comfortable public speaking and effective communication skills.
• Ability to present complex information in a clear and concise manner, avoiding unnecessary jargon and technical terms.
• 5+ years of experience designing and developing advanced dashboards and data visualizations in Tableau, Power BI, or similar BI platforms.
• Exceptional design, UX, and data storytelling skills with a portfolio of executive-quality dashboards.
• Strong SQL skills for data extraction and semantic modeling.
• Experience working with data from complex enterprise systems.
• Proven ability to collaborate cross-functionally and influence without authority.
• Ability to simplify complex analytical concepts into intuitive, consumable visual outputs.
• Comfort working in hybrid environments with SQL databases, cloud data platforms, and modern analytics tools.

• Experience with Snowflake, Databricks, or other data lakehouse technologies.
• Understanding of LLMs, narrative insights, or AI-assisted analytics (working knowledge is a plus but not required).
• Experience in B2B distribution, chemicals, ingredients, or manufacturing.
• Familiarity with dashboard migration and modernization projects.

Bachelor’s degree in Information Systems, Computer Science, Business Technology, or related field preferred.