Purchasing Power

Data Analyst

Atlanta, GA, US

Hybrid
Full-time/Part-time
8 days ago
Save Job

Summary

Work at Purchasing Power Position: Data Analyst Location: Atlanta/Hybrid work model Who Are We: Purchasing Power (corp.purchasingpower.com) We are an Atlanta-based voluntary benefit company offering an industry-leading employee purchase program for brand-name consumer products, online education services and travel offerings through convenient payroll deduction, helping employees achieve financial flexibility. The Opportunity: The Data Analyst will be responsible for providing analysis and insight into all operational, financial, and e-commerce activities, regarding their effectiveness and profitability. The Data Analyst must be innovative and ensure a focus on delivering accurate and quality output. What You Will Do: * Provide data driven input, with insight and forward-thinking recommendations to business leaders * Interpret, evaluate and interrelate company and research data and develop integrated business analyses and projections for incorporation into strategic decision making * Deliver prescriptive analytics, manage and produce reports; recommend operational business activities and any other business activity as defined * Conduct insightful, ad hoc analyses to investigate ongoing or one-time operational issues * Analyze business activities and present results and recommendations to enhance operational strategies both for awareness, effectiveness and overall financial benefit * Develop predictive models of customer value, behavior, and responsiveness based on various business activities * Ensure all deliverables adhere to department quality and delivery standards * Maintain and stay abreast of the latest analytical tools and trends * Lead meetings and develop presentations to easily explain analysis and drive actionable results The Experience You Will Bring: * Bachelor's in Economics, Engineering, Computer Science, Business Analytics, Finance or related field * Advanced Knowledge of advanced quantitative analytic techniques and protocols (e.g. statistics, econometric modeling, predictive modeling, simulation and scenario analysis models, optimization methodologies, and forecasting) used to build necessary business models * 5+ years of Data Analysis experience Knowledge with data analytics and data mining * 2+ years of experience with statistical software packages (SAS, SQL, R, Python) * 2 + years of experience with VBA, and Power BI data visualization like Tableau * Advanced knowledge of Microsoft Office (Word, Excel) and able to create Pivot tables and VLOOKUP's * Experience working with cross-functional teams to build consensus and project plans Preferred Skills: * E-commerce or retail experience * Master's degree in a related field is a plus Your Well Being: * Hybrid work model (Onsite/Offsite) * Comprehensive benefits: medical, dental, vision, company paid Basic Life/AD&D * 401k Retirement Plan * Flexible PTO * Career Development * Employee Purchase Program What We Stand For: * We act with intensity, urgency and a passion for supporting our customers and growing our business. We strive for excellence. * We hold ourselves accountable and expect it of each other. We attack problems with a positive "can do" attitude. We do what we say we'll do. * We deliver as one team, working together with integrity, respect, trust, transparency, and fun. We are better because we work here. * We believe our unique diversity and authenticity makes us a better company, allows us to be our best selves and is a competitive advantage. * We exhibit innate curiosity and creativity to innovate and reimagine how things can be done. We ask, is there a better way? Purchasing Power is an equal opportunity employer. At Purchasing Power, we make all employment decisions, which include hiring, promoting, transferring, demoting, evaluating, compensating and separating, without regard to sex, sexual orientation, gender identity, race, color, religion, age, national origin, pregnancy, citizenship, disability, service in the uniform services, or any other classification protected by federal, state or local law.

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