Search for Business Intelligence Engineer positions in Seattle, WA, requiring 5+ years of experience, with a focus on data analysis, skills in SQL and Python, and a full-time job type.

Okay, I've searched for Business Intelligence Engineer positions in Seattle, WA that require 5+ years of experience, focus on data analysis, and require skills in SQL and Python, specifically for full-time roles. I found 45 relevant positions for you to review.

Business Intelligence Engineer

Seattle, WA

5 years + Experience

SQL

Python

Full Time

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The Business Intelligence Engineer role at Amazon's MODE team is integral to shaping and implementing a standardized data platform that drives strategic decision-making across marketing and media operations. Fundamentally, this individual's mission is to fuse technical expertise with cross-functional collaboration—essentially serving as a bridge between data engineering and business intelligence. Key responsibilities include developing reporting pipelines and ensuring data integrity while monitoring new feature rollouts. The complexities arise particularly from the need to navigate diverse cross-functional requirements and ambiguities inherent in tackling unprecedented challenges in data management and analysis. Success will look like the effective delivery of data solutions that empower various stakeholders to leverage information for informed decision-making, all while maintaining rigorous documentation and best practices. This role requires not just technical prowess but also the ability to influence and communicate effectively across various teams, enhancing cross-organizational alignment.

Company Analysis:

Lensa operates in the competitive career platform space, characterized by rapid innovation and a significant reliance on technology and data. As a company that puts people first, Lensa is positioned as a disruptor, leveraging machine learning and complex algorithms to redefine job searching. In this fast-paced environment, the Business Intelligence Engineer will be essential to harnessing data to refine marketing strategies and meet user needs. The company culture appears to value collaboration, creativity, and adaptability—key traits that will be critical for the candidate to thrive. The role's visibility within Amazon signifies an opportunity to influence large-scale decisions, and given the emphasis on a data-driven approach, understanding how to navigate this modern, data-centric landscape will be critical. Ultimately, this position aligns closely with Lensa's mission of enhancing career opportunities while reducing hiring costs, making it a pivotal role poised for substantial impact both internally and externally.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Tell me about a time when you had to influence a key stakeholder to support a data-driven decision. What was the situation and what approach did you take?
Can you share an experience where you faced a challenging data integrity issue? How did you resolve it?
Describe a situation where you had to work with a cross-functional team on a challenging project. What was your role and what was the outcome?
What data visualization tools have you used in the past, and how did they help communicate insights effectively?
How would you go about designing a reporting pipeline for onboarding media metrics? What are the critical steps you would take?
Could you provide an example of a complex SQL query you wrote? What was the purpose, and what were the results?
Imagine you discover a significant discrepancy in a data report just before its presentation to stakeholders. What steps would you take to address the situation?
You are tasked with collaborating with finance and marketing to align their data needs. How would you start this conversation to ensure all parties are heard?
Why are you interested in working at Lensa, and how do you see your background aligning with our mission?
How would you prioritize the many competing projects and analytics requests that come in from various teams?
What do you think is the biggest challenge when working with large datasets, and how do you mitigate those challenges?
How do you typically approach learning a new tool or technology, especially in the context of data-related tasks?
What are some questions you have about the team dynamics or expectations for the Business Intelligence Engineer role?
What interests you most about the transformational career technology that Lensa is developing?
Can you discuss your experience with AWS solutions and how they've enhanced your work in business intelligence?

Job Details

Overview Company

Business Intelligence Engineer

$89.6k/y-$185k/y

Lensa

5 days ago

Highlight

OnsiteFull-time5+ yearsSenior

Summary

Amazon is seeking a Business Intelligence Engineer for their MODE team in Seattle, WA. The role involves establishing a standardized data platform to support cross-channel media strategy and planning.

About the Role

As a Business Intelligence Engineer, you will design, develop, and oversee reporting pipelines, onboard and monitor new features for reporting and measurement, and collaborate with stakeholders across various departments. You will deliver data analysis to support business needs and adopt best practices in reporting to ensure data integrity.

About You

Required:

5+ years of experience analyzing and interpreting data with Redshift, Oracle, NoSQL, etc.
Experience with data visualization using Tableau, Quicksight, or similar tools.
Experience with data modeling, warehousing, and building ETL pipelines.
Experience writing complex SQL queries.
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling.
Experience developing and presenting recommendations of new metrics for better business performance understanding.

Preferred:

Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift.
Experience in data mining, ETL, and using databases in a business environment with large-scale, complex datasets.
Experience with forecasting and statistical analysis.
Adjacency and understanding of the media and marketing landscape.
Experience in code review and version control tools, such as git.

Benefits

Compensation ranges from $89.6k–$185k based on market location and experience.
Equity, sign-on payments, and other forms of compensation may be provided.
Full range of medical, financial, and other benefits.

Lensa

What if we could take the search out of job search? This is the question Lensa has been answering since launching in San Francisco, California in August 2016. Using machine learning, we instantly provide companies with candidates and match professionals with positions that fit their skills, goals, personalities, and needs. How does it work? Lensa applies complex algorithms that identify the skills needed to succeed on a given job. Candidates can play computer games that assess their work style, thus gaining insight into their strengths while unlocking career opportunities. The result: job search that puts people first while reducing the time and cost of talent acquisition.

Lensa passed 10 million job seeker registrations in 2019, making the com- pany one of the premier career platforms.

With teams in multiple U.S. locations and a 60-strong crew of developers and data scientists at its R & D headquarters in Europe, Lensa is working every day to share its transformative career technology with the world.

Seattle, WA