ADCI

Project/Program/Product Management--Non-Tech, Business Intel Engineer, transportation and logistics

BusinessIntelEngineer,AOP

₹15–25L ~AI est. Bengaluru, Karnataka, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Business Intel Engineer, AOP at ADCI. Skills: Business intelligence, Analytics engineering, Data analysis. Apply multi-domain/process expertise. Own end to end roadmap”

What You'll Achieve.

Streamline operations process; Plug identified gaps; Improve network efficiency; Reduce defects

Industry & Context.

Project/Program/Product Management Non Tech, Business Intel Engineer, transportation and logistics
Problems you'll solve

Identify problems; Implement solutions; Detect outages; Prevent outages; Prioritize projects; Make sound judgments; Improve customer experience; Get right things done; Identify gaps; Analyze data; Analyze metrics; Ambiguous analyses; Drive to heart of problem; Identify root causes

What They're Looking For.

Must Have

2+ years analyzing data, Redshift experience, Oracle experience, NoSQL experience, Tableau experience, Quicksight experience, Excel experience, MicroStrategy experience, PowerBI experience, Statistical methods experience, Python scripting language experience, Java scripting language experience, R scripting language experience

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.

Apply multi-domain/process expertise

Own end to end roadmap

Translate business problem statements

Define analytical review

Vet analytical approach

Write queries for clients

Lead work with data engineering

Pull data using efficient query development

Pull data from multiple sources

Manage timeline and deliverables

Provide program communications

Communicate roadblocks

Represent team on analytical projects

Communicate across teams

Solve ambiguous analyses

Handle large data sets

Derive recommendations from analysis

Change existing processes

Understand test and control basics

Provide insights through statistical measures

Identify optimal communication mechanisms

Communicate complex analytical insights

Communicate business callouts

How You'll Work.

Team & Collaboration

Liaise with relevant teams; Work with stakeholders; Interactions in the team; Team on analytical projects; Communicate across teams; Collaboration with operations teams

Communication Scope

Verbal communication; Written communication; Stakeholder communication; Program communication; Cross-team communication

Process & Methodology

Roadmap ownership, Timeline management, Deliverable management

Full Job Description

Amazon Transportation team is looking for an innovative, hands-on and customer-centric Business Analyst for Analytics team. Candidate must be detail oriented, have superior verbal and written communication skills, organizational skills, excellent technical skills and should be able to juggle multiple tasks at once. 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. Key job responsibilities 1) Apply multi-domain/process expertise in day to day activities and own end to end roadmap. 2) Translate complex or ambiguous business problem statements into analysis requirements and maintain high bar throughout the execution. 3) Define analytical approach; review and vet analytical approach with stakeholders. 4) Proactively and independently work with stakeholders to construct use cases and associated standardized outputs 5) Scale data processes and reports; write queries that clients can update themselves; lead work with data engineering for full-scale automation 6) Have a working knowledge of the data available or needed by the wider business for more complex or comparative analysis 7) Work with a variety of data sources and Pull data using efficient query development that requires less post processing (e.g., Window functions, virt usage) 8) When needed, pull data from multiple similar sources to triangulate on data fidelity 9) Actively manage th

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