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Senior Business Intelligence Developer/Architect

  • Jersey City, NJ, United States
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Job details

Posting language
English
Posted

Original job description

Experience Required

2 years

Minimum Education Required

Bachelor's Degree

Compensation

$115,835.00 - $132,277.00 / Yearly

Hours Per Week

40

Number Of Positions

1

Shift

First Shift (Day)

Job Description

Insurance Services Office, Inc. seeks a Senior Business Intelligence Developer/Architect in Jersey City, NJ.

Duties:

  • Develop data structures for various business teams across the company that help them drive their business and marketing strategies.
  • Design, development, implementation, and oversight of data structures, data warehousing, and repositories, as well as report preparation.
  • Query, extract and analyze raw data from multiple large and complex SQL and other data sources using various reporting platforms.
  • Design and implement data models, dashboards, and reports in the two enterprise BI tools - Power BI, and ThoughtSpot to enable business users to access, analyze, and visualize data.
  • Collaborate with business stakeholders to identify and understand their data needs, design BI solutions, and provide technical expertise to deliver effective BI solutions that support

internal and external reporting.

  • Work with the database team to optimize database design and ensure data integrity, accuracy, and availability.
  • Develop and execute a comprehensive strategy and roadmap for system implementation while working with cross-functional teams to ensure alignment of goals and tactics.
  • Develop and maintain ETL processes to extract, transform, and load data into the BI solutions.
  • Create documentation and provide training to users to ensure they can effectively use the BI solutions.
  • Stay up to date with new BI technologies and tools to enhance the organization's BI capabilities.
  • Perform unit and integration testing and participate in reporting validations pertaining to reporting and data analytics, including testing of embedded BI reports.
  • Apply advanced analytics techniques to drive thoughtful decision-making throughout the entire process and deliver a fully scalable platform.
  • Keep thorough documentation of changes in design/structure, as well as any bugs/glitches in the system and/or process.
  • Mentor team members by guiding their efforts, providing learning opportunities, and making insightful strategic decisions.

Requires a Bachelor's degree in Computer Science, Information Systems, or a related field (or foreign equivalent) and 2 years of related experience in the job offered or in a related occupation.

Position requires education or experience in the following skills:

  • Business Intelligence processes in large-scale data management environments;
  • Building interactive reports, dashboards, and integrating modeling results;
  • Business intelligence, analytics, and data management solutions including the following: cloud-based and traditional databases, data warehouses, and other storage resources;
  • ETL processes and tools, SQL, and developing complex SQL queries and stored procedures; and
  • Designing Business Intelligence plans from inception to production rollout and support.

Benefits offered include health, vision, and dental plans; 401K program with employer matching; pre-tax transit, parking, and health savings account options; telemedicine; flexible spending accounts; life and disability insurance; global well-being and thrive wellness programs; employee stock purchase plan; legal services; and more

$115,835 to $132,277 per year. Must also have authority to work permanently in the U.S. Applicants who are interested in this position may apply to jobpostingtoday.com Ref# 53845

Place of Work

On-site

Requisition ID

53845

Job Type

Full Time

More about this job

Skills

  • Business intelligence
  • Data warehousing
  • SQL
  • Reporting
  • Data models
  • Microsoft Power BI
  • Provide technical expertise
  • Data engineering
  • Documentation
  • Provide training
  • Data analysis
  • Decision making
  • Computer science
  • Data management

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