Job ID: 24-06445 Pay rate range - $100/hr. to $105/hr. on W2

Must Have
SQL
Building complicated pipelines
Analytical mindset

Requirement
SQL a must
- 7+ years of experience working with large-scale complex datasets
- Strong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business questions
- Strong working knowledge of SQL
- Background (academic or professional) in statistics, programming, and marketing
- SAS experience a plus
- Graduate degree in math/statistics, computer science or related field, or marketing is highly desirable.
- Excellent communication skills, equally adept at working with engineers as well as business leaders

Day to Day
Working with PM's based out of multiple offices
Building reports for experiments for the product team
Providing analysis and recommendations on launching, experiments, etc.
Building dashboards
Ad-hoc deep dives
Retention
Stakeholder meetings

Job Description
As a Senior Business Intelligence Engineer, you will work with our world-class marketing and technology teams to ensure that we continue to delight our customers.
You will meet with business owners to formulate key questions, leverage vast Data Warehouse to extract and analyze relevant data, and present your findings and recommendations to management in a way that is actionable.

If you are motivated to serve the needs of our customers, you will also be able to satisfy your curiosity working with one of the world's largest datasets.
We seek candidates who are passionate about data analysis and data-driven decision-making, uncompromisingly detail-oriented, smart, efficient, and driven to help our business succeed by providing key insights that translate into action.

Key Responsibilities:
- Evaluation of the performance of program features and marketing content along with easures of customer response, use, conversion, and retention
- Statistical testing of A/B and multivariate experiments
- Design, build, and maintain metrics and reports on program health
- Respond to ad hoc requests from business leaders to investigate critical aspects of customer behavior, e.g. how many customers use a given feature or fit a given profile, deep dive into unusual patterns, and exploratory data analysis
- Employ data mining, model building, segmentation, and other analytical techniques to capture important trends in the customer base
- Participate in strategic and tactical planning discussions

Job Qualifications:
- 7+ years of experience working with large-scale complex datasets
- Strong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business questions
- Strong working knowledge of SQL
- Background (academic or professional) in statistics, programming, and marketing
- SAS experience a plus
A graduate degree in math/statistics, computer science or related field, or marketing is highly desirable.
- Excellent communication skills, equally adept at working with engineers as well as business leaders

Pay rate range - $53/hr. to $55/hr. on W2

Must Have
4 -6 years of Strong working knowledge of SQL, Python, Tableau (or Quicksight)
+2-5 years of experience working with large-scale complex datasets
Background (academic or professional) in statistics, programming, and marketing (masters preferred)

Leadership Principals:
Customer Obsessed, Earns Trust,

Job Qualifications
- +2-5 years of experience working with large-scale complex datasets
- Strong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business questions
-4 -6 years of Strong working knowledge of SQL, Python, Tableau (or Quicksight)
- Strong working knowledge of AWS cloud, Redshift, AWS Andes, Glue
- Background (academic or professional) in statistics, programming, and marketing
- Graduate degree in math/statistics, computer science or related field is highly desirable.
- Excellent communication skills, equally adept at working with engineers as well as business leaders
Degree: bachelors is the relative field (master preferred)

Nice to have;
Statistical analysis experience

Day to Day:
Assist stakeholders in business management
Join meetings to talk through issues and solutions
Partner with team members to architect solutions for stakeholders
Writing SQL code to pull correct data sets
Meet timelines

The Business Intelligence Engineer (BIE) is an innovative, results-driven professional who executes continuous improvement through data-driven actions.
The individual must exercise strong judgment and autonomy in the identification and execution of strategic improvement plans built on cross-category, Technology, and Operations partnerships.
This role will impact and inform how executes its SnS business across its replenishment business.
The individual should possess a track record of successful relationship management, strong business and analytical acumen, and experience working with technology and engineering teams.
Great communication skills, the ability to think big and influence across teams, and high ownership to deliver successful results will be essential.

Key job responsibilities
•Holistically architecting an end-to-end BI landscape that activates reporting, analysis & insights for the SnS business that includes building and harvesting datasets, data pipelines, ETL, application of custom logic, data visualization & story-telling to drive the business forward.
•Creating new reporting to inform business reviews, deep dive analyzer tools, and more emerging strategy efforts.
•Improving auditing tools to understand relevant inputs and identify gaps in technology systems to support the creation of new capabilities to drive business operating leverage.
•Building insights-oriented visualization tools in Quicksight or Tableau to enhance existing ways of work for product managers, program managers, vendor managers, finance partners, and stakeholder partner teams.
•Challenging existing processes and work streams with data-driven insights that offer alternatives that are cost neutral, or favorable, but drive much more scalable execution.
•Partnering across the SnS teams as well as the central CADE team to create an intelligence roadmap that addresses core areas for automation, scale, and business financial productivity.
•Scaling roadmap and solutions across categories by ensuring the cross-company impact is measured and supported by stakeholder businesses.
•Understanding the value chain within the broader site experience to inform new insights on customer engagement.
•Developing a knowledge repository for SnS data intelligence as part of an evolving center of excellence that can be referred to outside of the SnS business

Pay rate range - $53/hr. to $55/hr. on W2 Must Have 4 -6 years of Strong working knowledge of SQL, Python, Tableau (or Quicksight) +2-5 years of experience working with large-scale complex datasets Background (academic or professional) in statistics, programming, and marketing (masters preferred) Leadership Principals: Customer Obsessed, Earns Trust, Job Qualifications - +2-5 years of experience working with large-scale complex datasets - Strong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business questions -4 -6 years of Strong working knowledge of SQL, Python, Tableau (or Quicksight) - Strong working knowledge of AWS cloud, Redshift, AWS Andes, Glue - Background (academic or professional) in statistics, programming, and marketing - Graduate degree in math/statistics, computer science or related field is highly desirable. - Excellent communication skills, equally adept at working with engineers as well as business leaders Degree: bachelors is the relative field (master preferred) Nice to have; Statistical analysis experience Day to Day: Assist stakeholders in business management Join meetings to talk through issues and solutions Partner with team members to architect solutions for stakeholders Writing SQL code to pull correct data sets Meet timelines The Business Intelligence Engineer (BIE) is an innovative, results-driven professional who executes continuous improvement through data-driven actions. The individual must exercise strong judgment and autonomy in the identification and execution of strategic improvement plans built on cross-category, Technology, and Operations partnerships. This role will impact and inform how executes its SnS business across its replenishment business. The individual should possess a track record of successful relationship management, strong business and analytical acumen, and experience working with technology and engineering teams. Great communication skills, the ability to think big and influence across teams, and high ownership to deliver successful results will be essential. Key job responsibilities •Holistically architecting an end-to-end BI landscape that activates reporting, analysis & insights for the SnS business that includes building and harvesting datasets, data pipelines, ETL, application of custom logic, data visualization & story-telling to drive the business forward. •Creating new reporting to inform business reviews, deep dive analyzer tools, and more emerging strategy efforts. •Improving auditing tools to understand relevant inputs and identify gaps in technology systems to support the creation of new capabilities to drive business operating leverage. •Building insights-oriented visualization tools in Quicksight or Tableau to enhance existing ways of work for product managers, program managers, vendor managers, finance partners, and stakeholder partner teams. •Challenging existing processes and work streams with data-driven insights that offer alternatives that are cost neutral, or favorable, but drive much more scalable execution. •Partnering across the SnS teams as well as the central CADE team to create an intelligence roadmap that addresses core areas for automation, scale, and business financial productivity. •Scaling roadmap and solutions across categories by ensuring the cross-company impact is measured and supported by stakeholder businesses. •Understanding the value chain within the broader site experience to inform new insights on customer engagement. •Developing a knowledge repository for SnS data intelligence as part of an evolving center of excellence that can be referred to outside of the SnS business

Job ID: 24-06061 Pay rate range $75/hr. to $77/hr. on W2
Bellevue, WA

The team is looking for a BIE to shape how we use data to support a wide range of strategic initiatives in the Last Mile space.
As a BIE on our team, you will develop and lead new technical solutions, influence business-critical decision-making on a massive scale, and influence multiple organizations and geographies.
This BIE in particular will be working on a cross-functional, highly ambiguous problem space with the Cross Channel Marketing (XCM) team.
To be successful in this role, you'll need to be an excellent time, project, and customer manager, great communicator, and problem solver extraordinaire.
You'll work on complex initiatives that have never been solved before.
Excellent candidates will be able to work with a high degree of ambiguity and use data/analytic engineering to drive meaningful changes.
All candidates need bar-raising SQL abilities, as the BIE will work with large amounts of nuanced data on fleet systems across a WW scope.

In this position, you will:
•Provide strategic advisory to business teams and leaders that liaise technical and business needs.
•Engineer critical input and output metrics using excellent SQL/scripting
•Create performance metrics to measure operational performance, identify root causes and trends, and prescribe action plans for delivery stations around the globe
•Manage metrics across multiple projects simultaneously
•Work with product, technology, and analytics teams to support the development of tools and dashboards
•Communicate with and support various internal stakeholders and external audiences
•Learn, explore, apply, and gain expertise in many internal data and public AWS products including Glue, Redshift, Quicksight, and Lambda

Basic qualifications
•3+ years of analyzing and interpreting data with Redshift, and Oracle, 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 Python
•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

Job ID: 24-06061 Pay rate range $75/hr. to $77/hr. on W2 Bellevue, WA The team is looking for a BIE to shape how we use data to support a wide range of strategic initiatives in the Last Mile space. As a BIE on our team, you will develop and lead new technical solutions, influence business-critical decision-making on a massive scale, and influence multiple organizations and geographies. This BIE in particular will be working on a cross-functional, highly ambiguous problem space with the Cross Channel Marketing (XCM) team. To be successful in this role, you'll need to be an excellent time, project, and customer manager, great communicator, and problem solver extraordinaire. You'll work on complex initiatives that have never been solved before. Excellent candidates will be able to work with a high degree of ambiguity and use data/analytic engineering to drive meaningful changes. All candidates need bar-raising SQL abilities, as the BIE will work with large amounts of nuanced data on fleet systems across a WW scope. In this position, you will: •Provide strategic advisory to business teams and leaders that liaise technical and business needs. •Engineer critical input and output metrics using excellent SQL/scripting •Create performance metrics to measure operational performance, identify root causes and trends, and prescribe action plans for delivery stations around the globe •Manage metrics across multiple projects simultaneously •Work with product, technology, and analytics teams to support the development of tools and dashboards •Communicate with and support various internal stakeholders and external audiences •Learn, explore, apply, and gain expertise in many internal data and public AWS products including Glue, Redshift, Quicksight, and Lambda Basic qualifications •3+ years of analyzing and interpreting data with Redshift, and Oracle, 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 Python •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

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Business Intelligence Engineer Intelliswift Software, Inc. Jobs

Business Intelligence Engineer VDecember 16, 2024

Business Intelligence Engineer IiDecember 5, 2024

Business Intelligence Engineer IiDecember 1, 2024

Business Intelligence Engineer VNovember 28, 2024

Business Intelligence Engineer VNovember 23, 2024