Business Intelligence Engineer III

Intelliswift$124K — $135K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of data analysis experience with Redshift, Oracle, NoSQL, etc.
  • Proficient in data visualization tools like Tableau and Quicksight.
  • Skilled in data modeling, warehousing, and ETL pipeline construction.
  • Experience with statistical analysis tools (R, SAS, Matlab).
  • Strong SQL skills for database querying, supplemented by Python scripting knowledge.

Responsibilities

  • Develop complex SQL queries for ad hoc requests and reporting.
  • Design and maintain automated, user-friendly reporting systems and dashboards.
  • Implement datasets for structured access to actionable business insights.
  • Gather requirements from stakeholders to create automated reporting solutions.
  • Collaborate with analysts and engineers to craft complete data solutions.
  • Automate reporting and data-driven activities for scalability.
  • Analyze data to extract insights and formulate business recommendations.

Benefits

  • 5 days onsite work required for collaboration and team synergy.
Full Job Description
Job ID: 25-10506 Pay rate range - $60/hr. to $65/hr. on W2
5 Days Onsite

Must Have

SQL

Quicksight/Tableau

Correction Analysis

Job Qualifications:

5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL, etc. experience

Experience with data visualization using Tableau, Quicksight, or similar tools

Experience with data modeling, warehousing, and building ETL pipelines

Experience in Statistical Analysis packages such as R, SAS, and Matlab

Experience using SQL to pull data from a database or data warehouse, and scripting experience (Python) to process data for modeling

PREFERRED QUALIFICATIONS

Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift

Experience in data mining, ETL, etc., and using databases in a business environment with large-scale, complex datasets

Leadership Principles

Dive Deep

Ownership

Bias for action

Deliver results

Primary responsibilities

Develop complex queries for ad hoc requests and projects, as well as ongoing reporting.

Design, develop and maintain scalable, automated, user-friendly systems, reports, dashboards, etc. that will support our analytical and business needs

Design, implement, and support key datasets that provide structured and timely access to actionable business information addressing stakeholder needs.

Interface directly with stakeholders, gathering requirements and owning automated end-to-end reporting solutions.

Partner with analysts, data engineers, business intelligence engineers, and software development engineers across the client to produce complete data solutions.

Simplify and automate reporting, audits, and other data-driven activities; build solutions to have maximum scale and self-service ability by stakeholders

Proficiency with SQL queries to retrieve and analyze data. Learn and understand a broad range of client's data resources and know how, when, and which to use.

Estimate models, write analyses, and extract insights and provide business recommendations.

Job Description

Business Intelligence Engineer to identify strategic initiatives that will form the next generation of client Logistics.

As a Business Intelligence Engineer, you will be working in one of the world's largest and most complex data warehouse environments. In this role, you will primarily work on designing and building automated reporting and dashboards using complex data.

We are still in the nascent stage so it is an exciting opportunity to be involved from design to execution.

As a BI Engineer, you will operate as a mix of hands-on builder and influencer.

The team's success depends on our ability to create actionable insight from the data that we and our partners generate.

The ideal BIE candidate will have excellent analytical abilities, business acumen, good judgment, strong technical skills, and good written and verbal communication skills.

This person will be a self-starter, comfortable with ambiguity, able to think big and be creative (while paying careful attention to detail), and enjoys working in a fast-paced, dynamic environment.

To be successful in this role, you should have broad skills in data mining, be comfortable dealing with large and complex data sets while applying analytical rigor to solve business problems.

This role is cross-functional • you will work closely with partners in Product Management, Training, and Program Management to design and deliver data needs. You should be comfortable working in a dynamic, start-up environment and seek data-driven decision-making. You should have strong analytical and communication skills and be able to work with product managers and business development teams to define key business questions and build data sets and models that answer them.

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