Flexible Gig:Manager,Advanced Analytics(Newport) | Hiring

Position in Newport, DE

Key Information

• Benefits: A competitive compensation package is offered.
• Core objectives involve required: Experience writing optimized SQL query in Hadoop in Transportation, Delivery, Logistics.
• Project-based work with clear objectives.
• Hiring Organization: Walmart
• Salary:
• Location: Newport, DE
• Position: Manager, Advanced Analytics (Flexible/Contract, Newport)
• Career Level: Intermediate.
• This Newport-based role is an excellent opportunity for professionals skilled in required: Experience writing optimized SQL query in Hadoop.
• Our Walmart team in Newport, DE is growing.
• Benefit from working in Newport, a key hub for the Transportation, Delivery, Logistics industry.

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What you'll do...\nPosition: Manager, Advanced Analytics\nJob Location: 850 Cherry Avenue, San Bruno, CA 94066\nDuties: Improve Walmart Marketplace Marketing's success metrics, CVR (Conversion rate), and ROAS (Return on Ad Spend) by analyzing campaign performance across various marketing paid channels. Build and design AOP (Annual Operations Plan) for Marketplace for KPIs like GMV (Gross Merchandi\n...\nse Value), AOV (Average Order Value), Traffic, CVR, and Orders. Design and measure A/B tests across various SEM and DPS campaigns to understand the lift in traffic and RPV generated by various initiatives leading to data driven budget allocation across paid channels. Build predictive machine learning frameworks to understand customer behavior using algorithms like linear regression and logistic regression to predict future daily trends of KPIs such as GMV, CVR, and AOV. Leverage SQL language in platforms such as BigQuery, Hive, Presto, and Hadoop to determine, formulate, and track business objectives/performance metrics that require statistical analysis. Inform marketing strategies and business development opportunities by identifying issues, hypotheses testing, executing the analysis, and translating data into meaningful insights and actions. Understand the business case questions that will help marketers to better target audiences for their digital marketing campaigns. Implement root cause analysis of variations in performance for different categories and channel. Guide projects to ensure delivery of assigned insights analyses with end-to-end ownership, clear communication, detailed project plans, and operational processes that drive visibility and accountability with Marketing & Analytics stakeholders. Identify gaps and opportunities for improving existing data sources and engage with broader Walmart teams to acquire and summarize these sources within the Walmart Marketplace environment. Provide management level visibility through weekly updates on key initiatives and KPIs for the team. Monitor fluctuations in key customer metrics (CVR, orders placed) by understanding the root cause and business-based explanations for large scale trends and patterns in customer lifecycle behavior. This position does not supervise other employees.\nMinimum education and experience required: Master’s degree or equivalent in Business, Finance, Accounting, Statistics, Business Analytics, or related field; OR Bachelor’s degree or equivalent in Business, Finance, Accounting, Statistics, Business Analytics, or related field and 2 years of experience in data analytics or related field.\nSkills required: Experience writing optimized SQL query in Hadoop, BigQuery, and Dataproc platforms for Data mining, ETL process, and synthesis of large Structured/Unstructured data. Experience mining, analyzing, and interpreting data through various statistical techniques including univariate analysis, bivariate analysis, and correlation. Experience creating data visualization using business intelligence tools including Tableau, Power BI, and Adobe Analytics. Experience coding in an object-oriented programming language for data transformation. Experience developing and presenting strategic, action-oriented oral and written communication by providing recommendations from complex analytics to executive audience. Experience building classification machine learning algorithms including Linear regression, random forest, and XGBoost. Experience using Advanced Excel for manipulating, analyzing, and presenting data using functions including VLOOKUP, index, match, and Sumifs. Experience creating efficient decks using Microsoft Power point to create appropriate business cases illustrating customer behavior, sales trend, and opportunities to make better decisions within retail media. Experience documenting codes, methodologies, and projects using Github, Confluence, and Sharepoint. Employer will accept any amount of experience with the required skills.\nSalary Range: $109,810/year to $202,000/year. Additional compensation includes annual or quarterly performance incentives.  Additional compensation for certain positions may also include: Regional Pay Zone (RPZ) (based on location) and Stock equity incentives.\nBenefits: At Walmart, we offer competitive pay as well as performance-based incentive awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty and voting. Other benefits include short-term and long-term disability, education assistance with 100% company paid college degrees, company discounts, military service pay, adoption expense reimbursement, and more.\nEligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. For information about benefits and eligibility, see One.Walmart.com.\nWal-Mart is an Equal Opportunity Employer.\n#LI-DNI #LI-DNP\nWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.