Lead Business Intelligence Engineer with AWS
Lead BI Engineer with AWS Location:
Hybrid, 2-3 days onsite (410 Terry Ave N, Seattle, Washington, 98109-5210, United States)Duration:
12 Months+TOP SKILLS' DETAILS SQL (Complex querying over hundreds of lines of SQL, Complex joins, aggregation, multiple tables etc)2.
Quick sight preferred (Tableau is next in visualization)3.
Setting up data warehousing from scratch4.
They are looking for someone whose references brag about their creative thinking, ability to solve problems in ambiguous environments, and ability to drive solutions/show ownership over their assignments and think outside the box.
the team wants someone who can understand the business process as it is today, story board what the future looks like, provide thought leadership on what efficiency looks like 3 years from now and all future state.
Sketch of how people interact with Prime Video live operations and what it could be in the future.
Very Greenfield projects and overhaul of databases.
DESCRIPTIONThe ideal candidate will have excellent analytical abilities, outstanding business acumen and judgment, intense curiosity, strong technical skills, and superior written and verbal communication skills.
S/he 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 database design, be comfortable dealing with large and complex data sets, have experience building self-service dashboards and using visualization tools, while always applying analytical rigor to solve business problems.
In addition to leading the design, development, and management of our analytical tools and reporting, we will also look to this person to provide thought leadership and business analysis support as needed.
The candidate will need to possess the ability to handle multiple, abstract projects while dealing with constant change.
S/he should have a strong desire to achieve results, continuously raise the bar, and demonstrate an ability to effectively manage time, priorities and deliverables.
THE PRIMARY RESPONSIBILITIES OF THIS ROLE INCLUDE:
Design, develop and maintain scalable, automated, user-friendly systems, reports, dashboards, etc.
that will support our analytical and business needs Analyze key metrics to uncover trends and root causes of issues Invent and innovate - Tell the story of business trends, patterns, and outliers through rich visualizations Work closely with various stakeholders, including Prime Video leadership, to define the information needed and how best to present it Suggest and build new metrics and analysis that enable better perspective on business Design and develop weekly, monthly, and quarterly dashboards, scorecards and reporting for the team and present insights to stakeholders Recognize and adopt best practices in reporting and analysis:
data integrity, test design, analysis, validation, and documentation BASIC QUALIFICATIONS Bachelors degree in computer science, mathematics, statistics, economics, or other quantitative field 5
years of relevant work experience in a role requiring application of data modeling and analytic skills Strong experience with ETL development, data modeling, data warehousing, MySQL, Tableau, and databases in a business environment with large-scale, complex datasets Advanced ability to draw insights from data and clearly communicate them to the stakeholders and senior management as required Self-driven, with demonstrated ability to deliver on ambiguous projects as well as projects/requests where the underlying data is incomplete Strong verbal/written communication and presentation skills Experience in gathering requirements and formulating business metrics for reporting Experienced working in a fast-paced, high-tech environment and comfortable navigating conflicting priorities and ambiguous problems PREFERRED QUALIFICATIONS MBA or Masters degree in Computer Science, Engineering, Statistics, Mathematics or related field Expert in writing and tuning SQL scripts Experience working in very large data warehouse environments 3
years of experience in a data engineer or BIE role with a technology company Advanced capabilities with productivity software such as Excel and Access Lead Business Intelligence Engineer with AWS Recommended Skills Attention To Detail Big Data Business Analysis Business Intelligence Business Processes Business Requirements Apply to this job.
Think you're the perfect candidate? Apply on company site $('.
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open('/interstitial?jobdid=j3n3tn624gllq5vxr5f', 'ExternalApply-j3n3tn624gllq5vxr5f'); ); Estimated Salary: $20 to $28 per hour based on qualifications.
Hybrid, 2-3 days onsite (410 Terry Ave N, Seattle, Washington, 98109-5210, United States)Duration:
12 Months+TOP SKILLS' DETAILS SQL (Complex querying over hundreds of lines of SQL, Complex joins, aggregation, multiple tables etc)2.
Quick sight preferred (Tableau is next in visualization)3.
Setting up data warehousing from scratch4.
They are looking for someone whose references brag about their creative thinking, ability to solve problems in ambiguous environments, and ability to drive solutions/show ownership over their assignments and think outside the box.
the team wants someone who can understand the business process as it is today, story board what the future looks like, provide thought leadership on what efficiency looks like 3 years from now and all future state.
Sketch of how people interact with Prime Video live operations and what it could be in the future.
Very Greenfield projects and overhaul of databases.
DESCRIPTIONThe ideal candidate will have excellent analytical abilities, outstanding business acumen and judgment, intense curiosity, strong technical skills, and superior written and verbal communication skills.
S/he 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 database design, be comfortable dealing with large and complex data sets, have experience building self-service dashboards and using visualization tools, while always applying analytical rigor to solve business problems.
In addition to leading the design, development, and management of our analytical tools and reporting, we will also look to this person to provide thought leadership and business analysis support as needed.
The candidate will need to possess the ability to handle multiple, abstract projects while dealing with constant change.
S/he should have a strong desire to achieve results, continuously raise the bar, and demonstrate an ability to effectively manage time, priorities and deliverables.
THE PRIMARY RESPONSIBILITIES OF THIS ROLE INCLUDE:
Design, develop and maintain scalable, automated, user-friendly systems, reports, dashboards, etc.
that will support our analytical and business needs Analyze key metrics to uncover trends and root causes of issues Invent and innovate - Tell the story of business trends, patterns, and outliers through rich visualizations Work closely with various stakeholders, including Prime Video leadership, to define the information needed and how best to present it Suggest and build new metrics and analysis that enable better perspective on business Design and develop weekly, monthly, and quarterly dashboards, scorecards and reporting for the team and present insights to stakeholders Recognize and adopt best practices in reporting and analysis:
data integrity, test design, analysis, validation, and documentation BASIC QUALIFICATIONS Bachelors degree in computer science, mathematics, statistics, economics, or other quantitative field 5
years of relevant work experience in a role requiring application of data modeling and analytic skills Strong experience with ETL development, data modeling, data warehousing, MySQL, Tableau, and databases in a business environment with large-scale, complex datasets Advanced ability to draw insights from data and clearly communicate them to the stakeholders and senior management as required Self-driven, with demonstrated ability to deliver on ambiguous projects as well as projects/requests where the underlying data is incomplete Strong verbal/written communication and presentation skills Experience in gathering requirements and formulating business metrics for reporting Experienced working in a fast-paced, high-tech environment and comfortable navigating conflicting priorities and ambiguous problems PREFERRED QUALIFICATIONS MBA or Masters degree in Computer Science, Engineering, Statistics, Mathematics or related field Expert in writing and tuning SQL scripts Experience working in very large data warehouse environments 3
years of experience in a data engineer or BIE role with a technology company Advanced capabilities with productivity software such as Excel and Access Lead Business Intelligence Engineer with AWS Recommended Skills Attention To Detail Big Data Business Analysis Business Intelligence Business Processes Business Requirements Apply to this job.
Think you're the perfect candidate? Apply on company site $('.
external-apply-email-saved').
on('click', function (event) window.
ExternalApply = window.
open('/interstitial?jobdid=j3n3tn624gllq5vxr5f', 'ExternalApply-j3n3tn624gllq5vxr5f'); ); Estimated Salary: $20 to $28 per hour based on qualifications.
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