Analytics Engineer

Broadstone Real Estate; Town of Victor (NY); On-site; USD 65,000 - 80,000; Full time

Job summary

Broadstone Net Lease seeks an Analytics Engineer to build data pipelines, models, and APIs powering reporting and analytics. You will partner with internal teams to design durable, scalable data solutions and drive business decisions.

The role requires 1–3+ years of data/analytics engineering experience, Python/SQL proficiency, and cloud exposure (Azure). A Bachelor’s degree in a related field is required, with familiarity in Power BI and API development a plus.

Qualifications

• Bachelor's degree in related field required.
• 1–3+ years of data/analytics engineering experience.
• Familiarity with Power BI, Azure Data Factory, Functions, or DevOps is preferred.
• Experience building APIs with FastAPI or consuming external data APIs is a plus.
• Experience integrating LLM/AI APIs or AI-assisted development is a plus.

Responsibilities

• Build and maintain automated data pipelines from internal systems and external APIs.
• Design dashboards, analytics, and scalable data products to drive decisions.
• Write and optimize SQL; contribute to database design and warehouse architecture.
• Leverage AI coding tools to accelerate development while ensuring production quality.
• Integrate AI capabilities into Broadstone Net Lease solutions where needed.

Skills

Python

SQL

Cloud platforms

Azure

Analytical mindset

Communication

Independent work

Organization

Office tools

Problem solving

Education

Bachelor's degree in Computer Science / Data Science / Statistics

Tools

Power BI

Azure Data Factory

DevOps

FastAPI

APIs

Azure WebApp

Job description

Career Opportunities with Broadstone Net Lease

The Analytics Engineer will support the development of Broadstone Net Lease's modern, automated data platform by building data pipelines, models, and APIs that power reporting, business analytics, and internal applications across the organization. The individual will leverage their interest in understanding how our business works in partnership with internal teams to support and implement durable, scalable data solutions, in addition to related projects and initiatives. The ideal candidate will work analytically, communicate effectively, prioritize multiple projects, and demonstrate the ability to succeed in a dynamic, growing environment. This position reports to the Director, Corporate Finance & Business Analytics.

• Work with stakeholders across the organization to understand business needs and design dashboards, analytics, and scalable data products that answer real questions and drive decisions
• Build and maintain automated data pipelines that ingest data from internal systems and external vendor APIs
• Write and optimize SQL and contribute to database design, schema and data modeling, and warehouse architecture
• Leverage AI coding tools (e.g., Claude Code, codex) to accelerate development while reading, understanding, and validating all AI-generated code, taking full ownership of the correctness and quality of work reaching production
• Integrate LLM/AI capabilities into BNL solutions where needed
• Develop and evaluate options in infrastructure planning to support new applications and technologies
• Work with stakeholders across the organization to understand business needs and design dashboards, analytics, and scalable data products that answer real questions and drive decisions
• Partner with analysts and business teams to convert manual processes into automated, reusable data products the organization relies on
• Executes duties and maintains standards in accordance with company policies and procedures
• Additional duties as required
• Overtime hours may be required as job duties demand

Skills/Qualifications:

• Working knowledge of Python and SQL programming languages
• Cloud platform exposure; Azure strongly preferred
• Ownership mindset with a drive to convert complex, manual problems into durable, automated solutions
• Business curiosity and a genuine interest in understanding how the business works, with a focus on building analytics that solve real problems
• Self-starter with a proven ability to work independently, demonstrating resourcefulness in problem-solving and decision-making
• Excellent organization and planning skills; ability to prioritize and work on multiple projects and follow through in a timely manner
• Effective verbal and written communication skills with the ability to collaborate with stakeholders at all levels of technical knowledge
• High-level proficiency in Microsoft Office, including Word, Excel, PowerPoint, and Outlook
• Solid work ethic and a professional, proactive, and positive approach to work

Education/Experience:

• Bachelor’s degree in Applied Statistics, Computer Science, Data Science, Information Systems, or related discipline from a four-year accredited college or university required
• 1-3+ years of data, software, or analytics engineering experience
• Familiarity with Power BI, including building datasets
• Azure Data Factory, Functions, or DevOps experience strongly preferred
• Experience building APIs with FastAPI or consuming external data APIs a plus
• Experience integrating LLM/AI APIs or with AI-assisted development a plus
• Azure WebApp services a plus

Environment and Physical Demands:

• Professional office environment with routine use of standard office equipment such as computers, phones, photocopiers, filing cabinets, and fax machine; noise level typical of a standard office environment
• Prolonged sitting, computer and telephone use, as well as standing, filing, stooping, bending, reaching and lifting, and carrying up to 15 pounds
• Ability to travel by plane, train, and automobile and operate a motor vehicle

The above description is not intended to define, in detail, the multitude of tasks that may be assigned, but rather to provide a general sense of the responsibilities and expectations of the position. As the nature of business demands change, so too may the functions of this position.

Our employees are our most valuable assets. To reward their commitment, we strive to provide a competitive and flexible mix of total rewards that have their best interests in mind and enhance our employee-centric culture.

The base salary range for this role is: $65,000 - $80,000. This range is Broadstone’s good faith estimate of the annual base salary it reasonably expects to pay for the position at the time of this posting. The stated salary range does not include other forms of compensation or benefits offered in connection with the advertised role, such as performance-based cash bonuses and restricted stock grants. There are several factors taken into consideration in making compensation decisions including but not limited to the individual’s experience, skillset, relevant education & certifications, job-related knowledge, location, and other relevant factors identified through the recruitment & selection process.

Broadstone is an Equal Opportunity Employer. We provide equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, sex, age, disability, religion, citizenship, national origin, ancestry, military status or veteran status, marital status, pregnancy, familial status, sexual orientation, gender identity or expression, domestic violence victim status, predisposing genetic characteristics and genetic information, reproductive health decision making, including the decision to use or access a particular drug or medical service; and any other status or characteristic protected by law.