ADCI
Data Science, Business Intel Engineer, Retail
BusinessIntelligenceEngineerI
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Business Intelligence Engineer I at ADCI. Skills: Data Engineering, Business Intelligence, Data Analysis. Make recommendations for new metrics. Make recommendations for new techniques”
What You'll Achieve.
Improve operational metrics; Improve quality metrics; Scale data; Enable faster detection; Enable efficient resolution
Industry & Context.
Root cause fixes; Defect elimination; Data-driven decision making
What They're Looking For.
Must Have
2+ years analyzing data, Redshift experience, Oracle experience, NoSQL experience, Data visualization experience, Tableau experience, Quicksight experience, Excel experience, MicroStrategy experience, PowerBI experience, Statistical methods experience, Scripting language experience, Python experience, Java experience, R experience
Nice to Have
Master's degree preferred, Advanced technical degree preferred, Knowledge of data modeling, Knowledge of data pipeline design, Statistical analysis experience, Co-relation analysis experience
What You'll Do.
Make recommendations for new metrics
Make recommendations for new techniques
Make recommendations for new strategies
Building new Python utilities
Maintaining existing Python utilities
Enabling more efficient adhoc queries
Enabling more efficient analysis
Working closely with research scientists
Working closely with business analysts
Working closely with product leads
Ensuring consistency between data sources
Exploring AWS technologies
Learning AWS technologies
Mentoring the team on analytics best practices
How You'll Work.
Team & Collaboration
Research scientists; Business analysts; Product leads
Full Job Description
Retail Business Services (RBS) supports Amazon’s Retail business growth WW through three core tasks. These are (a) Selection, where RBS sources, creates and enrich ASINs to drive GMS growth; (b) Defect Elimination: where RBS resolves inbound supply chain defects and develops root cause fixes to improve free cash flow and (c) supports operational process for WW Retail teams. Our team of high caliber software developers, applied scientists, data engineers, product managers and Business Intelligence Engineers use rigorous ML and deep learning approaches to ensure that we identify & fix the right catalog defect to ensure the good shopping experience for our customers. We are looking for a customer-obsessed Business Intel Engineer that thrives in a culture of data-driven decision making who will be responsible to help us hold a high bar for RBS Data Engineering Team This individual will be responsible for driving/creating: · Experience working with large, multi-dimensional datasets from multiple sources · Make recommendations for new metrics, techniques, and strategies to improve the operational and quality metrics. · Proficient using at least one data visualisation product (Tableau, Qlik, Amazon QuickSight, Power BI, etc.) · Building new Python utilities and maintaining existing ones · Enabling more efficient adhoc queries & analysis · Working closely with research scientists, business analysts and product leads to scale data · Ensuring consistency between various platform, operational, and analytic data sources to enable faster and more efficient detection and resolution of issues · Exploring and learn the latest AWS technologies to provide new capabilities and increase efficiencies · Mentoring the team on analytics best practices Basic Qualifications: - 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with one or more industry analytics
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