Data Pipelines & Dashboards Engineer

Bloomberg L.P.; New York (NY); On-site; USD 110,000 - 130,000; Full time

Benefits offered by this job

Health insurance

401(k) + match

Job summary

Bloomberg L.P. in New York seeks an Analytics Engineer to join the Employee Technology Support team. You will design data models, ETL pipelines, and BI applications to turn raw data into trusted insights that improve support operations and employee experience.

You will partner with ETS, Engineering, Product, and business stakeholders to translate requirements into scalable data solutions, automate data flows, monitor quality, and deliver dashboards and KPIs that drive strategic decisions.

Qualifications

• Bachelor's degree or higher in a STEM field relevant to data analytics.
• 3+ years building data engineering, BI, or analytics solutions.
• Advanced SQL skills with large relational datasets.
• Strong Python development for data engineering and ETL.
• Experience building scalable data models and dashboards.
• Familiarity with Qlik Sense, Tableau, Power BI or similar.

Responsibilities

• Design and maintain data models, ETL pipelines, and BI applications.
• Build automated data flows, reporting, and dashboards to support KPIs.
• Improve data quality, monitor data reliability, and modernize legacy workflows.
• Translate business requirements into intuitive visualizations for stakeholders.
• Collaborate with ETS, Engineering and Product to improve data architecture.

Education

Bachelor's degree in Computer Science, Mathematics, Statistics, Information Systems, Data Analytics, or related STEM

Tools

Qlik Sense

Tableau

Power BI

Job description

Bloomberg L.P. in New York seeks an Analytics Engineer to join the Employee Technology Support team. You will design data models, ETL pipelines, and BI applications to turn raw data into trusted insights that improve support operations and employee experience.

You will partner with ETS, Engineering, Product, and business stakeholders to translate requirements into scalable data solutions, automate data flows, monitor quality, and deliver dashboards and KPIs that drive strategic decisions.