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Lead Business Intelligence EngineerDormont Manufacturing CompanyWhite Plains, New York, United States
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Lead Business Intelligence Engineer

Dormont Manufacturing Company
  • US
    White Plains, New York, United States
  • US
    White Plains, New York, United States

À propos

We are looking for a talented and motivated Lead Business Intelligence Engineer to join our Enterprise Business Intelligence and Insights team. In this role, you will help transform complex data into meaningful, actionable insights that drive business decisions. You will lead the design and development of advanced data solutions, including impactful visualizations, dashboards, and self‑service analytics tools, to empower stakeholders across the organization.
This role is remote, with the option to work in a hybrid capacity if you are located near one of our offices in NYC, FLL, or TX.
At this time, we are not considering applicants who require employment authorization sponsorship (1) as a condition of eligibility for employment with the Company or (2) at any point during the term of their employment. Candidates must be authorized to work in the United States without the need for current or future visa sponsorship by the Company.
Job Responsibilities
Build analytics tools that utilize the data pipeline to provide actionable insight into customer acquisition, operational efficiency and other key business performance metrics.
Work with stakeholders including the Executive, Product, Marketing, Data, Engineering and Operations teams to assist with data‑related technical issues and support their data infrastructure needs.
Collaborate and create data tools for analytics and data science team members that assist them in building and optimizing our product into an innovative industry leader.
Create, maintain and enhance dashboards, reports and other visualizations for stakeholders.
Tightly collaborate with Product and Engineering teams on project planning and design processes.
Anticipate the impact on the business of any changes to existing systems and advise internal customers as appropriate.
Formulate options, including assessing their relative merits and risks, and work to determine the best solution.
You Should Have
Educational background in Computer Science or Engineering, Math, Statistics, Informatics, Information Systems or another quantitative field.
5+ years of experience in BI Engineering, including leading BI projects as a technical lead, with hands‑on responsibility for guiding developers and stakeholders through the design, deployment, and ongoing management of BI projects that drive data‑informed decision‑making.
3+ years Experience with Microsoft Power BI, SSRS or similar analytical and reporting tools.
Ability to design, develop, and maintain logical and physical dimensional data models (star schemas, snowflake schemas) for analytical workloads.
Strong Computer programming skills: SQL and Python.
Experience with relational SQL databases: MS SQL Server, Snowflake or equivalent.
Experience with ETL Services: SSIS, Azure Data Factory, DBT or equivalent.
Experience with project management and collaboration tools such as Jira, Confluence, etc.
Experience designing, building and optimizing scalable data pipelines and data sets.
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
Strong analytic skills related to working with unstructured datasets.
Build processes supporting data transformation, data structures, metadata, dependency and workload management.
Strong project management and organizational skills.
Experience supporting and working with cross‑functional teams in a dynamic environment.
Intellectual curiosity to find new and unusual ways of how to solve data management issues.
Exciting Benefits and Perks Await You
Competitive compensation and 401k matching
Enjoy a healthy work‑life balance with insurance plans (health, dental, vision) and maternity benefits.
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  • White Plains, New York, United States

Compétences linguistiques

  • English
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