דרושים Business Analyst Dsp Operational Efficiency Team ב-אמזון ב-United States, Nashville-davidson

Key job responsibilities
- Designing and developing scalable data pipelines and platforms to ingest, process, and analyze compliance-related data from multiple sources (e.g., carrier records, regulatory databases, telematics).- Implementing advanced analytics and machine learning models to automate manual compliance checks, such as validating driver licenses or detecting potential contract violations.- Building user-friendly applications and dashboards that provide carrier partners and internal auditors with real-time visibility into compliance status and performance.- Collaborating cross-functionally with product managers, compliance experts, and other stakeholders to understand requirements and translate them into innovative, impactful solutions.- Staying on the forefront of data engineering and analytics trends to continuously optimize TRC processes and identify new opportunities for automation and efficiency gains.

- 5+ years of SQL experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Bachelor's Degree

Key job responsibilities- Partner with senior leadership to translate complex business requirements into pragmatic technical solutions
- Communicate effectively with stakeholders to build consensus, resolve issues, and ensure tight alignment between BI solutions and evolving business requirements. Participate in design reviews and mentor other engineers to elevate deliverable quality.
- Set an exemplary standard for BI engineering excellence through your personal contributions, design decisions, and code reviews. Play a key role in attracting, developing, and retaining top BI talent.
A day in the life

- 10+ years of professional or military experience
- 5+ years of SQL experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Experience with operations/supply chain
- Knowledge of data warehousing and data modeling
- Experience building measures and metrics, and developing reporting solutions

The DSP DA Lifecycle Experience & Services (DLXS) team is looking for a Business Analyst (BA) that's a motivated self-starter, that can work in a fast paced, data-driven environment. The successful candidate will be an analytical problem solver, and have an extremely high level of customer focus. This role requires developing dashboards, deep diving various data sets to identify trends, risk indicators, and opportunities to support overall program delivery. This role requires proficiency in SQL, a can-do attitude, and a strong desire to Learn and Be Curious.*Travel may be required once a quarter.Key job responsibilities
- Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into actionable reports/dashboards
- Translate data into actionable insights
- Identify processes to automate and scale ad-hoc requests and analyses

- Experience with SQL
- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience
- 3+ years of business or financial analysis experience
- Experience defining requirements and using data and metrics to draw business insights
- Experience making business recommendations and influencing stakeholders

- 3+ years of business analyst, data analyst or similar role experience

As you further your career as a Compliance Data Analyst at Amazon, you will focus on improving corporate reporting frameworks and data visualization. You will analyze performance data, discover and solve real world problems and build metrics and link analysis packages to improve decision making. We are focused on your success and want to build strong leaders within Amazon Transportation Services. You can expect to leverage your analytical skills and have ownership of the projects you work on.Key job responsibilities
• Retrieving and analyzing data using SQL, Excel, Access and other data management systems
• Building and deploying Link Analysis visualizations, heat maps, cluster frameworks, and dashboards to support compliance investigations
• Monitoring existent metrics, analyzing data and partnering with internal teams to identify process and system improvement opportunities
• Designing and implementing reporting solutions to enable stakeholders to manage the business and make effective decisions
• Drive small to medium operational enhancement projects
• Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for datasets and model data and metadata to support ad-hoc and pre-built reporting
• Communicate complex analysis and insights to stakeholders and business leaders, both verbally and in writing

- High school or equivalent
- 1+ year of experience in STEM, military or law enforcement intelligence, cybersecurity, OSINT, or related fields.
- Experience with Excel, including Pivot Tables, VLOOKUP, Macros,Power Query, Conditional Formatting and similar functions.

- Bachelor's degree or equivalent
- Experience with Tableau, AWS QuickSight, Power BI, or other data visualizations software
- Experience in modeling and analyzing complex logistics networks
- Experience with SQL
- Experience using route and load optimization tools as well as transportation management systems
- Experience using link analysis platforms such as I2 Analyst Notebook, FiveCast, Palantir, etc.

As you further your career as a Compliance Data Analyst at Amazon, you will focus on improving corporate reporting frameworks and data visualization. You will analyze performance data, discover and solve real world problems and build metrics and link analysis packages to improve decision making. We are focused on your success and want to build strong leaders within Amazon Transportation Services. You can expect to leverage your analytical skills and have ownership of the projects you work on.Key job responsibilities
• Retrieving and analyzing data using SQL, Excel, Access and other data management systems
• Building and deploying Link Analysis visualizations, heat maps, cluster frameworks, and dashboards to support compliance investigations
• Monitoring existent metrics, analyzing data and partnering with internal teams to identify process and system improvement opportunities
• Designing and implementing reporting solutions to enable stakeholders to manage the business and make effective decisions
• Drive small to medium operational enhancement projects
• Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for datasets and model data and metadata to support ad-hoc and pre-built reporting
• Communicate complex analysis and insights to stakeholders and business leaders, both verbally and in writing

- High school or equivalent
- 1+ year of experience in STEM, military or law enforcement intelligence, cybersecurity, OSINT, or related fields.
- Experience with Excel, including Pivot Tables, VLOOKUP, Macros,Power Query, Conditional Formatting and similar functions.

- Bachelor's degree or equivalent
- Experience with Tableau, AWS QuickSight, Power BI, or other data visualizations software
- Experience in modeling and analyzing complex logistics networks
- Experience with SQL
- Experience using route and load optimization tools as well as transportation management systems
- Experience using link analysis platforms such as I2 Analyst Notebook, FiveCast, Palantir, etc.

Key job responsibilities- Develop process to effectively maintain and disseminate project information to stakeholders.- This opportunity requires excellent technical, problem solving, and communication skills. The candidate is not just a policy maker/spokesperson but drives to get things done.
- Possess superior analytical abilities and judgment. Use quantitative and qualitative data to prioritize and influence, show creativity, experimentation and innovation, and drive projects with urgency in this fast-paced environment.A day in the life
Benefits Summary:1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan

- 7+ years of business intelligence and analytics experience
- 5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience
- Experience with SQL
- Experience with ETL
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software

- 4+ years of working with very large data warehousing environment experience
- 10+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience

Key job responsibilities
- Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format
- Perform deep-dives to find the root causes behind variances of key parameters over a given time-period

- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience writing complex SQL queries

- Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with forecasting and statistical analysis