Conducting financial analysis to inform business decisions, such as evaluating new product opportunities or assessing investment options
Creating financial models to simulate different scenarios and forecast potential outcomes affecting the company's P&L
Developing and implementing financial strategies to improve overall business performance and achieve strategic goals
Dual responsibility for reporting on performance by identifying meaningful trends, real business alarms, and data anomalies while controlling costs for respective cost centers
Streamlining data in a scalable way for efficient reporting Producing quarterly and yearly forecasts based on business top and bottom lines
Injecting numbers into accounting software, such as Netsuite
Direct involvement in tax issues within the EU, with such as intercontinental freight Brexit-related issues
Operations Cost Performance (Value Engineering) to optimize for cost and time
Conducting a comprehensive analysis on sales, finance, and operations data sets to identify opportunities for cost cutting
Designing road maps and project plans to execute on identified opportunities, determining necessary resources and timelines for success
Collaborating with stakeholders and onboarding them on project goals by aligning on vision and driving execution in highly cross-functional organizations
Building dashboards to track the development of key performance indicators (KPIs) and ensure business benefits and real value creation
Keeping stakeholders engaged by sharing positive results resulting from cross-functional collaboration
Production Planning by effectively matching supply and demand
Expertise in production planning and matching supply with demand by moving capacity within facilities internally or through the fulfillment network to "solve" for outbound demand as first priority
Calculation of production capacity based on workforce, machinery, and production line bottlenecks
Consideration of events that may halt production (e.g. holidays, team events, weekends)
Skilled in forecasting customer demand and converting it into quantitative data points
Matching customer demand with production capacity at parcel or pallet levels
Calculation of expected workforce efficiency based on facility conditions such as warehouse fullness or hiring activities
Proficient in utilizing multiple cloud services for production planning Experienced in using local spreadsheet files to maintain accurate records and data
Business Intelligence and Data Analytics
Proficient in data analytics and business intelligence tools, including Excel, SQL, and AWS infrastructure, to extract, transform, and load (ETL) data and perform analysis that informs business decision-making
Skilled in Python programming language, which has been used to automate data processing tasks and generate insights with greater efficiency
Collaborated with data engineering teams to build data pipelines and ensure data quality, consistency, and integrity
Experienced in working in an agile project management environment, which has allowed for efficient and iterative development of data products and insights that meet evolving business needs
Strong ability to translate complex data into understandable and actionable insights, and to communicate those insights effectively to stakeholders across the organization
Workforce Staffing Consultation for labor-intensive verticals
Expertise in workforce staffing consultation for labor-intensive industries such as manufacturing, logistics and on-demand logistics
Building direct connections with major third-party workforce staffing agencies in the EU to maintain a healthy hiring pipeline
Conducting labor market research to identify industry trends, skill shortages, and areas of opportunity for talent acquisition
Staying up-to-date with regulatory changes and compliance requirements related to labor and employment, and providing recommendations to businesses to ensure compliance
Developing strategies to attract labor in challenging labor shortage conditions in the EU
Ensuring a healthy and fair work environment and contractual conditions to maintain labor engagement and retention
Product Management with a focus on logistics and e-commerce
Leading cross-functional teams in developing logistics and machine learning products that aligned with the needs of the market and customers, and ensured product-market fit through effective research and validation
Conducting rigorous AB testing to optimize product features, user experience, and leveraged insights from testing to continuously improve products
Overseeing data science projects aimed at estimating delivery times, optimizing fulfillment decision-making and supporting the growth and design of fulfillment networks while ensuring full alignment with business goals, scalability promises and customer needs
Managing stakeholder engagement across the organization to ensure alignment on product vision, strategy, and execution, and communicated product progress, insights, and results to all relevant stakeholders
Utilizing agile development methodologies and demonstrating expertise in logistics and machine learning domains, and leveraging that expertise to drive innovation and differentiation in products, while also ensuring product-user fit
