Data Specialist

About Us

Baker Newman Noyes (BNN) is a top 100 tax, assurance, and advisory firm in the U.S. and holds a Best of Accounting™ recognition for superior client service. BNN was founded to create opportunity for our employees, clients, and communities. We provide expert accounting and advisory services across several industries. With offices in Maine, Massachusetts, and New Hampshire, BNN has a reputation for teamwork, collaboration, and client excellence throughout New England and beyond. BNN’s culture champions career advancement, mentorship, community involvement, and exceptionally responsive client service.

About the Position

If you're looking for a rewarding opportunity in a professional atmosphere with immense positivity, incredible talent, and exciting potential, then Baker Newman Noyes is the place for you.

Baker Newman Noyes is seeking a skilled and motivated Data Specialist to join our team and help build the foundation for data-driven decision making.

Because our team is relatively new and small, we are looking for someone who can think critically about developing scalable and maintainable business intelligence solutions that will drive strategy and decision-making throughout the firm.

Primarily, the required skills are those of a data engineer, but this role will not operate in a silo: we seek someone who’s also interested in understanding and helping to develop our full data estate. This position will be critical to strengthening our data foundations and integrating new data sources for analysis in business intelligence tools. If you are passionate about data engineering and thrive on solving complex challenges systematically and efficiently, we want to hear from you.

Competencies and Position Requirements

· Collaborate with the team to design, develop, build and maintain data pipelines.

· Build systems to ensure data quality, integrity, and security.

· Identify and address gaps in existing data collection, including working with other parts of the business to change processes and move data input to machine-readable platforms.

· Participate in Agile project management methodologies and effectively manage tasks.

· Collaborate to build and develop data science solutions.

· Build infrastructure for delivering data solutions to various Advisory clients.

Education and Experience

· Bachelor's degree in computer science, Data Engineering, Data Analytics or related field preferred.

· Proven experience in data engineering, with a strong understanding of ETL/ELT processes and data warehousing best practices.

· Experience with version control using Git and collaborative development.

· Strong communication skills in technical and non-technical settings.

· Proficiency in Python and T-SQL; familiarity with PowerBI (PowerQuery and DAX) is a plus.

· Familiarity with serverless cloud services and experience with functions-as-a-service technologies is a plus.

Work Environment

· Some travel required

· Ability to work a flexible schedule based on business needs

· Hybrid and remote work option

· Supportive and collaborative culture