Responsible for analyzing consumer, market, and customer data to make business building recommendations to category management and store teams, and assisting in developing location-specific objectives to achieve operating objectives and standards.
Compensation
The role has a starting salary range of $60,000-$83,000 per year.
Responsibilities
Partner with eCommerce Operations Manager to set and monitor online shopper KPIs and ensure these are achieved, providing training as necessary
Ensure all stores have proper working equipment necessary for success
Optimize shopping processes to improve efficiencies including time slots offered and picking processes and methods
Assist with maintaining relationships with third party partners and ensure successful representation of the Lunds & Byerlys brand
Drive third party partner sales by ensuring accurate product catalog information and sharing sales and promotion information
Requirements
Bachelor’s degree in business or equivalent experience
Partner with business stakeholders, operational leaders, and subject matter experts to gather requirements, define success metrics, and deliver business intelligence and analytics solutions that support strategic and operational decision-making.
Design, develop, and maintain enterprise dashboards, reports, scorecards, visualizations, and scalable analytics solutions that provide actionable insights into business performance, operational trends, and key performance indicators (KPIs).
Serve as the Operations subject matter expert for MicroStrategy and promote reporting best practices, data governance standards, and self-service analytics capabilities.
Write, optimize, and troubleshoot complex SQL queries and leverage cloud-based data warehouses such as BigQuery, Snowflake, Redshift, or Azure Synapse to support reporting and analytical initiatives.
Develop and maintain reporting solutions using MicroStrategy, Power BI, and other business intelligence platforms to meet evolving business needs.
Requirements
Bachelor's degree in Business Analytics, Information Systems, Computer Science, Engineering, Finance, Mathematics, Statistics, or a related quantitative field.
Nice to have: Master's degree
Nice to have: Seven or more years of experience in business intelligence, analytics, reporting, or data engineering
Nice to have: Tolling, transportation, public sector, or related operational environments
Nice to have: Operational analytics and back-office systems within the tolling industry
Design and build complex ETL/ELT pipelines for structured and unstructured data sources using GCP native services like Cloud Storage, Dataflow, and Dataproc, Data Integration & ETL/ELT
Build and orchestrate automated data pipelines using Fivetran, Google DTS, and custom ETL/ELT frameworks
Create robust ingestion patterns for batch and streaming data
Troubleshoot data integration issues, latency problems, and pipeline failures
Partner with application teams to integrate SaaS, on-prem, and cloud sources
Requirements
Bachelor’s degree in computer science, Information Systems, or related field.
As a Quantitative Risk Management Intern within Enterprise Risk Management (ERM), you will apply advanced analytical, technical, and quantitative skills to support risk management activities at one of the nation's largest financial institutions.
Compensation
Graduate Interns are paid at a set, non-negotiable hourly rate. The hourly rate for this role is $40/hr.
Responsibilities
Execute quantitative and analytical projects while ensuring timely delivery, adherence to objectives, and effective management of project scope.
Develop, evaluate, and utilize quantitative models and analytical tools to support assessment of market, credit, operational, and emerging risks.
Collaborate with risk, business, and technology teams to solve complex problems and drive data-driven decision-making.
Support model development, validation, monitoring, and evaluation activities across various risk disciplines.
Apply programming, data analysis, and automation techniques to improve efficiency and enhance quantitative processes.
Requirements
Enrolled in a full-time graduate degree program in Data Analytics, Computer Science, Applied Mathematics, Statistics, Financial Engineering, Econometrics, Quantitative Finance, Artificial Intelligence, Machine Learning, Economics, or a related quantitative field.
Gather and translate business requirements on key projects
Effectively manage project assignments and documentation, including establishing and communicating overall priority and defining project scope, deliverables and timing
Communicate assignment status against goals ongoing
Test and validate all the models and work closely with counterparts in NY to ensure the models make business sense
Set up automated model scoring process to ensure frequent (monthly) refresh of predictive models
Requirements
Master’s degree in Mathematics or Statistics or Data Science or Software Engineering
Nice to have: Tableau
Nice to have: MicroStrategy
Nice to have: business intelligence tools
Nice to have: experience in retail, financial, or other consumer based industries
Business Intelligence Engineer role to lead advanced analytics for the India Self Ship business, focusing on complex data modeling and data-driven insights for seller and customer experience.
Compensation
On-site; Bengaluru, Karnataka, India
Responsibilities
Lead advanced analytics wing for India Self Ship business
Slice and dice multi-dimensional, high-depth data mines
Build complex data models to drive data-driven insights
Become a subject matter expert on Self Ship performance across sellers, carriers, and market segments
Translate data-driven findings into actionable insights for Product and Program leadership
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