Sr. Business Intelligence Analyst

Humana Inc.
Jersey City, NJ, United States
4 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Working hours
Regular working hours

Tech stack

Microsoft Access Microsoft Word Microsoft Excel Business Analytics Applications Data Analysis Microsoft Azure Data Files Data Mining Data Systems Data Visualization Python (Programming Language) Microsoft Office
+8 more
Microsoft PowerPoint Raw Data SAS (Software) SQL Databases Tableau (Software) Pyspark Information Technology Qlikview

Job description

The Senior Business Intelligence Analyst solves complex business problems and issues using data from internal and external sources to provide insight to decision-makers. The Senior Business Intelligence Analyst work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors., The Senior Business Intelligence Analyst describes the tools, technologies, applications and practices used to collect, integrate, analyze, and present an organization’s raw data in order to create insightful and actionable business information. Begins to influence department’s strategy. Makes decisions on moderately complex to complex issues regarding technical approach for project components, and work is performed without direction. Exercises considerable latitude in determining objectives and approaches to assignments.

Requirements

Bachelor’s degree and 5 or more years of technical experience in data analysis OR Master’s degree and 3 or more years of experience

Comprehensive knowledge of Microsoft Azure, Microsoft Office Applications including Word, Excel, Access, and PowerPoint

Advanced in SQL, SAS, Python, PySpark, and other data systems

Advanced experience working with big and complex data sets within large organizations

Experience analyzing data to solve a wide variety of business problems and create data visualizations that drive strategic direction

Proficiency in understanding Healthcare related data

Proficiency in verbal and written communication to senior and executive leadership

Must be passionate about contributing to an organization focused on continuously improving consumer experiences

Preferred Qualifications

Advanced Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field

Advanced in SQL, SAS, PySpark and other data systems

Experience with tools such as Tableau and Qlik for creating data visualizations

Expertise in data mining, forecasting, simulation, and/or predictive modeling

Experience creating analytics solutions for various healthcare sectors

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.employmentcrossing.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:36 min

Integrating business experts and conceptualizing analytical use cases

Stefan Donsa Stefan Donsa +1 Ā· LIVE

4:32 min

Harnessing Spark with Python using PySpark and Py4J

Ayon Roy Ā· LIVE

4:09 min

Challenges of interpreting raw data with language models

Clemens Vasters Clemens Vasters Ā· WWC 2025

1:42 min

Combining technical skills with strong business communication

Lukas Kölbl · LIVE

3:37 min

Scaling machine learning pipelines from prototypes to petabytes

Julian Joseph Ā· LIVE

2:09 min

Uncovering hidden coordinate manipulation communities in binary data

Nolan Royalty Ā· Coffee With Developers

Videos

See all

Related articles

See all