Analytics Engineer

Broadstone Net Lease

Village of Victor (NY)

On-site

USD 65,000 - 80,000

Full time

6 days ago
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Job summary

Broadstone Net Lease is seeking an Analytics Engineer to help build and scale its modern data platform. You will collaborate with stakeholders to translate business needs into dashboards, analytics, and automated data products powering reporting and internal apps.

The role emphasizes developing data pipelines, writing SQL, and contributing to database design while leveraging AI tooling to accelerate development. A strong ownership mindset and finance/REIT interest are valued.

Qualifications

  • Bachelor’s degree in Applied Statistics, Computer Science, Data Science, Information Systems, or related discipline.
  • 1-3 years of data software or analytics engineering experience.
  • Familiarity with Power BI including building datasets.
  • Azure Data Factory, Functions or DevOps experience preferred.
  • Experience building APIs with FastAPI or consuming external data APIs.
  • Interest in finance, real estate, or REITs.

Responsibilities

  • Understand business needs with stakeholders and design dashboards, analytics, and scalable data products.
  • Build and maintain automated data pipelines ingesting data from internal systems and external APIs.
  • Write and optimize SQL; contribute to database design, data modeling, and warehouse architecture.
  • Leverage LLMAI capabilities in solutions and ensure code quality for production.
  • Partner with analysts and business teams to convert manual processes to automated data products.

Skills

Python
SQL
Power BI
APIs
AI integration
Communication skills
Office software

Education

Bachelor's degree in Applied Statistics, Computer Science, Data Science, Information Systems, or related discipline
1-3 years of data software or analytics engineering experience

Tools

Azure
Azure Data Factory
DevOps
FastAPI

Job description

The Analytics Engineer will support the development of Broadstone Net Leases 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

Essential Job Duties & Responsibilities
  • 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 eg 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 LLMAI 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
SkillsQualifications
  • 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
  • Bachelors 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 LLMAI APIs or with AI assisted development a plus
  • Azure WebApp services a plus
  • Interest in finance real estate or Real Estate Investment Trusts REITs desired

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 environmentProlonged 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 65000 80000 This range is Broadstones 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 individuals experience skillset relevant education & certifications job related knowledge location and other relevant factors identified through the recruitment & selection process

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