ADCI
E-Commerce
BusinessAnalyst
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Business Analyst at ADCI. Skills: Data analytics, Business intelligence, Data visualization. Extract and transform data. Transform data into business information”
Industry & Context.
Root cause analysis; Trend analysis; Pattern analysis
What They're Looking For.
Must Have
3+ years tax experience, 3+ years finance experience, 3+ years Excel experience, 3+ years Tableau experience, 3+ years business analysis experience, 3+ years financial analysis experience, Experience defining requirements, Experience using data and metrics, Experience making business recommendations, Experience influencing stakeholders, Bachelor's degree or equivalent
Nice to Have
Bachelor's in finance, Bachelor's in accounting, Bachelor's in business, Bachelor's in economics, Bachelor's in engineering, Bachelor's in analytics, Bachelor's in mathematics, Bachelor's in statistics, Experience in data mining, Experience in ETL, Experience using databases, Experience with SQL, Experience with Python, Experience with R, Experience with Tableau, Experience with PowerBI, Experience with Quicksight
What You'll Do.
Extract and transform data
Transform data into business information
Make data accessible to stakeholders
Support ideas with data
Drive actionable outcomes with data
Present data and information
Draw inferences and conclusions
Create visualizations
Implement GenAI technologies
Develop analytic solutions
Provide insights into operations
Measure business impact
Own dataset management
Structure scalable data solutions
Design analytic technologies
Implement analytic technologies
Drive adoption of solutions
Promote best practices
Tune query performance
Translate insights into recommendations
Provide analytical solutions
Drive seller experience
Reduce investigation errors
Improve customer experience
Predict optimizations
Recommend optimizations
How You'll Work.
Team & Collaboration
Work with product owners; Interact with program owners; Interact with product owners; Interact with technical teams
Communication Scope
Business communication; Stakeholder influence
Full Job Description
At Amazon.com, we strive to be Earth’s most customer-centric company. To support this vision, we need exceptionally talented, bright, and driven people. If you would like to help us build the place to find and buy anything online, this is your chance to work hard, have fun, and make history. Key job responsibilities An ideal candidate for this role: · Will have relevant experience in data analytics working with large data sets and to extract and transform data using various tools and technologies · Will transform data into actionable business information, and will make it readily accessible to stakeholders worldwide · Will use data to support ideas, drive actionable outcomes, and provide unique ways to present data and information in an easy to consume format · Will be passionate about finding root causes, trends, and patterns and how they impact business. · Will draw inferences and conclusions, basics of modeling, create dashboards and visualizations of processed data . Will be comfortable in implementing GenAI technologies to create efficient impact in analytics. · Will have business and communication skills to be able to work with product owners to understand key business questions to build reports that enable product owners to answer those questions quickly and accurately . Will be very comfortable juggling competing priorities and handling ambiguity . Will thrive in an agile and fast-paced environment on highly visible projects and initiatives A day in the life As a Business Analyst, you will help develop an analytic solution to drive deep dives, provide insights into the health and state of the Operations and measure business impact. You will transform data into actionable business insights, and will make it readily accessible to stakeholders worldwide. You will own the design, creation, and management of extremely large datasets. From Day 1, you will be challenged with a variety of tasks, ranging from creating datasets, reports, dashboards to metadata modelin
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