Business Intelligence Developer

BLDG SVC 32 B-JNew York, NY
6d

About The Position

Under the supervision of the Manager, Business Intelligence, the Business Intelligence Developer will contribute to the development of reporting and dashboard solutions that inform decision-making across the organization. This role is well-suited for someone early in their BI career who is eager to deepen their skills in Power BI, QlikView, and sound data modeling practices while helping advance a modern analytics environment. You will collaborate with senior BI developers and business stakeholders to understand reporting requirements, prepare and validate data for analysis, and build clear, reliable visualizations. The ideal candidate is curious, detail-oriented, and an effective communicator, with a strong willingness to learn new tools, techniques, and data concepts with guidance.

Requirements

  • 3 years of experience developing BI reports, dashboards, or analytics solutions; equivalent experience through internships, projects, or technical training programs is acceptable.
  • Experience developing BI dashboards and reports using Power BI; familiarity with QlikView is a plus.
  • Ability to write SQL queries to extract, join, and validate data accurately.
  • Understanding of relational databases, data warehouses, and foundational data modeling concepts.
  • Knowledge preparing and validating data for reporting, including basic transformation and quality checks.
  • Ability to interpret business requirements and converting them into report specifications.
  • Familiarity using Microsoft tools such as Excel and SharePoint in analytics workflows.
  • Strong attention to detail and commitment to producing accurate, reliable work.
  • Ability to learn quickly, incorporate feedback, and build new technical skills.
  • Clear communication with business users and team members, including explaining data findings.
  • Willingness to iterate on reports based on stakeholder input.
  • Collaborative mindset and comfort working within a team environment.
  • Curiosity and proactive problem-solving approach when exploring data or troubleshooting issues.
  • Organizational skills to manage multiple requests, priorities, and deadlines.
  • Bachelor’s degree in a related field such as Information Systems, Data Analytics, Computer Science, Statistics, or a similar discipline.

Nice To Haves

  • Prior exposure with cloud or hybrid data environments (Azure, Snowflake, AWS, Databricks) is beneficial.
  • (Optional) Exposure to Microsoft Fabric components (Dataflows Gen2, Lakehouse/Warehouse, pipelines).
  • (Optional) Basic Python scripting for data preparation or automation tasks.
  • Relevant certifications (e.g., Power BI, SQL, cloud platforms) are a plus but not required.
  • (Optional) Power BI certification (e.g., PL-300).

Responsibilities

  • Design, build, and maintain reporting and dashboard solutions in Power BI and QlikView.
  • Work with business stakeholders to gather reporting requirements and translate them into clear technical specifications.
  • Prepare, validate, and analyze data using SQL or similar tools to support accurate reporting.
  • Develop basic to intermediate data models, calculations (e.g., DAX), and visualizations that support business insights.
  • Assist in data integration efforts by working with senior developers to connect on-prem and cloud data sources.
  • Conduct testing, troubleshooting, and quality assurance to ensure reports are accurate, reliable, and user-friendly.
  • Evaluate and enhance existing dashboards and BI assets to improve performance and usability.
  • Support ongoing maintenance of BI platforms and applications, including updates to Power BI and QlikView reports.
  • Collaborate with cross-functional teams—including business, IT, and data engineering—to ensure alignment and data consistency.
  • Create and maintain documentation for reports, datasets, data definitions, and BI processes.
  • Maintain data quality, integrity, and governance practices within BI solutions.
  • Analyze datasets to identify trends, patterns, and opportunities for operational improvement.
  • Support cross-functional projects by supplying analytical and development solutions, data extracts, and ad-hoc reports.
  • Maintain proper access controls for dashboards, reports, and data models.
  • Perform other relevant duties as assigned by management.
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