ASSPL
Fulfillment Operations Management, Business Intel Engineer, transportation and logistics
BusinessIntelEngineerI,AOP
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Business Intel Engineer I, AOP at ASSPL. Skills: Business Intelligence, Data Analysis, Data Visualization. Define the problem. Build analytical frameworks”
What You'll Achieve.
Improve customer experience; Get right things done
Industry & Context.
Identify problems; Implement solutions; Detect outages; Prevent outages; Prioritize projects; Sound judgments
What They're Looking For.
Must Have
2+ years analyzing data, Experience with Redshift, Experience with Oracle, Experience with NoSQL, Experience with Tableau, Experience with Quicksight, Experience with Excel, Experience with MicroStrategy, Experience with PowerBI, Experience with t-test, Experience with Chi-squared, Experience with Python, Experience with Java, Experience with R
Nice to Have
Master's degree, Advanced technical degree, Knowledge of data modeling, Knowledge of data pipeline design, Experience with statistical analysis, Experience with co-relation analysis
What You'll Do.
Build analytical frameworks
Streamline the process
Identify gaps in process
Share updates with teams
How You'll Work.
Team & Collaboration
Liaising with teams
Communication Scope
Verbal communication; Written communication
Full Job Description
Analytics Ops and Programs team in Hyderabad is looking for an innovative, hands-on and customer-obsessed Business Analyst. Candidate must be detail oriented, have superior verbal and written communication skills, strong organizational skills, excellent technical skills and should be able to juggle multiple tasks at once. Ideal candidate must be able to identify problems before they happen and implement solutions that detect and prevent outages. The candidate must be able to accurately prioritize projects, make sound judgments, work to improve the customer experience and get the right things done. This job requires you to constantly hit the ground running and have the ability to learn quickly. Primary responsibilities include defining the problem and building analytical frameworks to help the operations to streamline the process, identifying gaps in the existing process by analyzing data and liaising with relevant team(s) to plug it and analyzing data and metrics and sharing update with the internal teams. Amazon is an equal opportunity employer. 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 visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) - Experience with scripting language (e.g., Python, Java, or R) Preferred Qualifications: - Master's degree, or Advanced technical degree - Knowledge of data modeling and data pipeline design - Experience with statistical analysis, co-relation analysis Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how
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