Overview
TekWissen is a global workforce management provider headquartered in Ann Arbor Michigan that offers strategic talent solutions to our clients world-wide. Our client is a company operating a marketplace for consumers sellers and content creators. It offers merchandise and content purchased for resale from vendors and those offered by third party sellers.
Position: Business Intelligence Engineer II
Location: Seattle WA 98109
Duration: 6 Months
Job Type: Temporary Assignment
Work Type: Onsite
Job Description
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Hard work a passion for innovation and zealous advocacy for the needs of our customers have made Earths most customer-centric company.
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This would not be possible without the tools and expertise we use to understand customer behavior.
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The Senior Business Intelligence Engineer occupies a unique role at the intersection of technology marketing finance statistics data mining and social science.
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We provide the key insight into customer behavior necessary to guide the evolution of business strategy.
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You will meet with business owners to formulate key questions leverage the vast Data Warehouse to extract and analyze relevant data and present your findings and recommendations to management in a way that is actionable.
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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.
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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:
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Evaluation of the performance of program features and marketing content along measures of customer response use conversion and retention
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Statistical testing of A/B and multivariate experiments
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Design build and maintain metrics and reports on program health
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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
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Employ data mining model building segmentation and other analytical techniques to capture important trends in the customer base
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Participate in strategic and tactical planning discussions
Qualifications:
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3-6 years of experience working with large-scale complex datasets
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Strong analytical mindset ability to decompose business requirements into an analytical plan and execute the plan to answer those business questions
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Strong working knowledge of SQL
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Background (academic or professional) in statistics programming and marketing
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SAS experience a plus
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Graduate degree in math/statistics computer science or related field or marketing is highly desirable.
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Excellent communication skills equally adept at working with engineers as well as business leaders
Typical Day in the Role
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15% Meetings/stakeholder alignment
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50% Technical work (coding analysis dashboard development)
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15% Documentation and process improvement
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20% Ad-hoc requests and troubleshooting
Candidate Requirements:
Must haves:
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3-6 years of experience working with large-scale complex datasets
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Strong analytical mindset ability to decompose business requirements into an analytical plan and execute the plan to answer those business questions
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Strong working knowledge of SQL
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Background (academic or professional) in statistics programming and marketing
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SAS experience a plus
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Graduate degree in math/statistics computer science or related field or marketing is highly desirable.
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Excellent communication skills equally adept at working with engineers as well as business leaders
Nice to haves:
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A BEST candidate would have:
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Proven experience with compensation analytics
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Strong AWS technical background
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Experience with large-scale data transformation
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Project examples showing end-to-end solution delivery
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An AVERAGE candidate might have:
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Advanced SQL/Python skills
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Limited experience with AWS should be fine
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General analytics background
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Disqualifiers: N/A
Degree/certification:
Leadership Principles:
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The leadership principle that resonates most with this role is Deliver Results.
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This role requires strong execution and delivering high-quality analytics solutions that directly impact globally.
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Performance indicators: Quality of work
Top 3 must-have hard skills
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Strong SQL and data warehousing experience (particularly with Redshift)
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Experience with data visualization tools (Tableau/Quicksight)
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Python programming for data analysis and automation
TekWissen Group is an equal opportunity employer supporting workforce diversity.