Data Scientist: Power BI Dashboards & Automation

Stefanini, Inc

New York, Northern (NY, KY)

Hybrid

USD 55,000 - 69,000

Full time

14 days+

Application generator

An application made for this job — a tailored resume and cover letter that speak straight to the posting.

Get past ATS filters

Job summary

Stefanini Group is hiring a Data Scientist in New York to collect, analyze, and interpret complex data to support business decision-making. The role focuses on reporting, dashboard development, process automation, and delivering actionable insights using Power BI and Excel.

You will design dashboards, build data models, and automate reporting to improve efficiency. Strong skills in Power BI and Excel are required, with experience in data analysis and communicating insights to stakeholders.

Qualifications

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or a related field.
Experience in data analysis, reporting, business intelligence, or a related role.
Strong knowledge of Microsoft Power BI, including dashboard creation, data modeling, Power Query, and DAX.
Advanced proficiency in Microsoft Excel, including pivot tables, lookup functions, conditional formulas, charts, and data validation.
Experience developing recurring and ad hoc reports for business stakeholders.
Demonstrated ability to automate repetitive reporting and data-processing tasks.
Strong analytical, problem-solving, and attention-to-detail skills.
Ability to communicate technical findings to non-technical audiences.

Responsibilities

Collect, clean, validate, and analyze data from multiple sources.
Develop and maintain recurring business and management reports.
Design interactive dashboards and visualizations using MS Power BI.
Build data models, measures, calculated columns, and reports in Power BI.
Use MS Excel for data analysis, reporting, reconciliations, pivot tables, formulas, and ad hoc analysis.
Identify opportunities to automate manual reporting and data processes.
Develop automated workflows, templates, and reporting solutions to improve efficiency and accuracy.
Monitor data quality and investigate discrepancies or unusual trends.
Translate business requirements into analytical solutions and meaningful insights.
Present findings to stakeholders in a clear and understandable manner.
Collaborate with business, technology, and operations teams to support data-driven initiatives.
Document reporting processes, dashboard definitions, and automation procedures.