Business Analyst III - AMZ9084949

Amazon.com Inc

Austin, TX

JOB DETAILS
SALARY
$118,200–$160,000 Per Year
SKILLS
Big Data, Business Administration, Business Analysis, Business Intelligence, Business Intelligence Software, Business Operations, Business Strategy, Computer Science, Continuous Improvement, Cross-Functional, Customer/Consumer Behavior, Data Analysis, Data Mining, Data Modeling, Data Quality, Data Sets, Database Extract Transform and Load (ETL), Database Technology, Economics, Erlang, Forecasting, IBM SPSS Statistical Package, Input/Output, Mathematical Modeling, Mathematics, Metrics, Microsoft Excel, Model Validation, Operational Strategy, Operations Management, Operations Processes, Oracle, Oracle Business Intelligence Enterprise Edition (OBIEE), Performance Metrics, Predictive Modeling, Process Improvement, Python Programming/Scripting Language, R Programming Language, Reporting Skills, SQL (Structured Query Language), Statistical Analysis System (SAS), Statistical Modeling, Statistics, Strategic Analysis, Strategic Planning, Willing to Travel
LOCATION
Austin, TX
POSTED
30+ days ago

MULTIPLE POSITIONS AVAILABLE

Employer: AMAZON.COM SERVICES LLC

Offered Position: Business Analyst III

Job Location: Austin, Texas

Job Number: AMZ9084949

Position Responsibilities:

Lead the development of complex forecasting models and strategic analytics initiatives while managing comprehensive metrics reporting and performing advanced data mining and big data analysis to drive business-critical decisions. Partner with multiple functional groups to define and forecast key business drivers, ensure operational effectiveness, and incorporate continuous learning into strategic planning. Design and implement sophisticated mathematical and statistical models incorporating diverse variables such as customer behavior, product performance, operational metrics, market dynamics, and business KPIs. Drive continuous improvement by simplifying and automating planning processes, working with analytics partners to establish scalable, efficient processes for large-scale data analyses, model development, validation, and implementation. Utilize advanced database technologies, including SQL, ETL, and Oracle to develop and evaluate highly innovative business intelligence tools and automated reports. Perform sophisticated statistical analysis, including clustering, cross-session and panel data regression using R, SAS, STATA, and SPSS. Partner with various business groups to gain knowledge of their business requirements and operational processes, transform complicated business problems into mathematics modeling, and provide data-driven solutions. Interact directly with senior management to present findings and deliver models that are statistically grounded and operationally explainable to non-technical stakeholders, enabling strategic decision-making across the organization.

Position Requirements:

Master"s degree or foreign equivalent in Business Administration, Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and one year of experience in the job offered or as a Business Analyst, Business Intelligence Engineer, Data Engineer, Data Miner or a related occupation. Employer will accept a Bachelor"s degree or foreign equivalent in Business Administration, Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and five years of experience in the job offered or a related occupation as equivalent to the Master"s degree and one year of experience. Must have one year of experience in the following skill(s): (1) using database technologies, including SQL, ETL or Oracle; (2) processing large, multi-dimensional datasets from multiple sources including Kibana, OBIEE, Datanet or equivalent data extraction tool; (3) developing custom predictive models and statistical forecasts using R or Python, translating complex data analysis into actionable business insights and strategic recommendations; (4) developing automated reporting using advanced MS Excel skills including but not limited to macros and erlang knowledge; and (5) maintaining data integrity to assure input/output accuracy in various databases including Redshift, Andes, or Huron. Domestic travel up to 25% to perform role responsibilities may be required.

Amazon.com is an Equal Opportunity-Affirmative Action Employer Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.

40 hours / week, 8:00am-5:00pm, Salary Range $118,200/year to $160,000/year.

Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, visit:

https://www.aboutamazon.com/workplace/employee-benefits.#0000

About the Company

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Amazon.com Inc

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
COMPANY SIZE
10,000 employees or more
INDUSTRY
Retail
FOUNDED
1994
WEBSITE
http://Amazon.com/militaryroles