Analytics Data Developer - Strategic Analytics

Acuity•Sheboygan, WI

59d

About The Position

Acuity is seeking an Analytics Data Developer to be responsible for designing, building, and optimizing Acuity’s Strategic Analytics Team’s data pipelines and data marts to enable efficient and scalable analytical workflows. This role plays a critical part in ensuring that high-quality, trusted data is readily available to drive insight generation, predictive modeling, and data-driven decision-making across the enterprise. The Analytics Data Developer will support our data scientists, analytics product managers, insight analysts, and reporting analysts by developing robust data ingestion, transformation, and enrichment processes. They will ensure the reliability, performance, and integrity of the data ecosystem while maintaining strong data governance and comprehensive documentation. Internal deadline to apply: December 22nd, 2025

Requirements

Bachelor’s degree in computer science, MIS, Data Engineering, Business or related field.
3 + years of experience developing data pipelines, data marts, or ETL/ELT workflows in a modern data environment.
Proficiency in SQL and at least one programming language such as Python, Scala, or Java.

Nice To Haves

Demonstrated experience designing and implementing Medallion Architecture (Bronze–Silver–Gold layers) in a cloud or distributed data environment.
Experience with modern data warehousing and processing platforms (e.g., Snowflake, Databricks, Azure Synapse, or similar).
Familiarity with data governance, metadata management, and version control best practices.
Strong problem-solving skills, attention to detail, and ability to operate independently in a fast-paced, collaborative environment.
Excellent communication and interpersonal skills with a demonstrated ability to work effectively with both technical and non-technical stakeholders.
Experience with big data tools: Hadoop, Spark, Kafka, etc.
Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

Responsibilities

Design, build, and optimize scalable and maintainable data pipelines and data marts to support analytics and reporting needs.
Perform data ingestion, transformation, and enrichment from various structured and unstructured data sources.
Monitor, troubleshoot, and optimize pipelines to ensure data quality, reliability, and performance.
Maintain strong data governance by adhering to established standards for data quality, lineage, security, and documentation.
Collaborate closely with data scientists, analysts, engineers, and business partners to translate analytic requirements into efficient data solutions.
Contribute to continuous improvement efforts through automation, performance tuning, and best practice adoption in data development.
Support data platform modernization efforts by integrating new technologies and approaches that enhance analytical capability.
Excellent teamwork, coordination, influence and communication skills.
Ability to develop timely and effective solutions for challenging design problems.
Establishes relationships with data owners, experts and SMEs across a wide variety of Acuity data domains.
Work closely with data scientists and analysts to develop and build analytical products.
Acquire, analyze, combine, synthesize, and store data from a wide range of internal and external sources as it pertains to model development.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Partner with business and technical leaders to prioritize data needs to expand Acuity’s analytical data universe.
Develops and supports monitoring solutions for the ML system and components.