Business Intelligence

Job Title: Business Intelligence Engineer III

Location: Seattle WA 98109

Duration: 9 Months

Job Type: Contract

Work Type: Hybrid

Job Description:

• Hard work a passion for innovation and zealous advocacy for the needs of our customers have made Client Earths most customercentric company.
• This would not be possible without the tools and expertise we use to understand customer behavior.
• The Senior Business Intelligence Engineer occupies a unique role at the intersection of technology marketing finance statistics data mining and social science.
• We provide the key insight into customer behavior necessary to guide the evolution of business strategy.
• At Client understanding customer behavior is paramount to our success in providing customers with convenient fast free shipping in the US and international markets.
• As a Senior Business Intelligence Engineer with Client you will work with our worldclass marketing and technology teams to ensure that we continue to delight our customers.
• You will meet with business owners to formulate key questions leverage Clients 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 worlds largest datasets.
• We seek candidates who are passionate about data analysis and datadriven 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 measures 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 largescale 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

Story Behind the Need Business Group & Key Projects

• Support Consumable category org analytics requirements
• Focus towards taking up adhoc request while they try to build more scalable solutions
• Backlog support business critical activities (support here as well)
• Patterns in requests can we do self serve capabilities
• Architectural contributions here
• New temp

Typical Day in the Role

• Avg day monthly road map planning with stakeholders
• Will be part of this mix of different projects (analytical; creating reports)
• Can plan out daily schedule in accordance with monthly roadmap
• Some leadership asks could come up could flex schedule for this
• Regular cadence SQL for data extraction and create data pipelines
• Minimal meetings (stakeholders)
• Could potentially extend

Compelling Story & Candidate Value Proposition

• Retail side of business consumables one of younger orgs in this space
• Support every kind of business that supports consumables (mkt supply chain pricing vendor facing analysis etc) lot of workstreams
• Stakeholders management

Candidate Requirements

• Think Big; Bias for action; deliver results
• Learn new business quickly and provide analytics on it (exp with different teams or workstreams)
• Nice to haves AWS services beyond conventional S3 bucket
• Performance Stakeholder /manager feedback

Top 3 musthave hard skills

• SQL
• Scripting knowledge (helps in automation python)
• Create Data pipelines (understand this infrastructure ) Visualization tools tableau or quicksight