Senior Analyst, Customer Analytics

Job Description

Work on and contribute to a variety of validation activities such as model design, execution, assessment, data review and campaign/marketing performance evaluation. Utilize statistical and digital analytics tools including Python, R, SQL, Tableau, Micro strategy, Adobe analytics, Google analytics, and DMP insight tools and statistical techniques including regression, ANOVA, cluster analysis, and factor analysis. Conduct time-series forecasting to drive and execute data analysis and manage timely delivery of marketing data/reporting and analytics insights in support of marketing campaigns. Conduct quantitative marketing analyses of marketing effectiveness and build XG Boost or Machine Learning models to segment customer population. Generate and manipulate digital data using systems and processes including media type web, ad, email, and mobile. Develop, write, and present a variety of strategic marketing analytics recommendations and projects including customer profiling, lifecycle analysis, campaign test design, dashboard reporting, and customer segmentation. Use the findings in the data to tell a story with actionable recommendations for the client. Develop Tableau Or Looker dashboards by identifying key KPIs. Develop simple PowerPoint presentations with key findings.

Skills/Education Required

• Bachelor's degree or a master's degree or foreign equivalent in Statistics, Math, Economics, or related quantitative field, and at least 1-2 years of experience as an analyst/Sr. Analyst or related occupation.
• At least 1-2 years of experience with R, Python, Pyspark, SQL, Advance Excel, multi-variate statistics, logistic regression, and multiple regression.
• Proficiency in Adobe analytics, Google analytics, and DMP insight tools and statistical techniques including regression, ANOVA, cluster analysis, and factor analysis.
• Experience in XG Boost Modeling techniques, Machine Learning Models and experience in model building is a must.
• Proficiency in developing simple PowerPoint presentations to tell the story from data.
• At least 1-2 years of developing, testing, and evaluating marketing analytics tools.
• At least 1-2 years of developing reporting and dashboards to evaluate marketing performance and provide recommendations for enhancement.
• At least 1 year of experience and proficiency in Data Visualization Tools like Tableau, Looker Studio and Power BI.
• At least 1-2 years of experience using multi-variate data mining techniques on unstructured business problems.
• Experience in Marketing Analytics is preferred.

Benefits

• Medical, vision, and dental insurance
• Life insurance
• Short-term and long-term disability insurance
• 401k
• Flexible paid time off
• At least 15 paid holidays per year
• Paid sick and safe leave
• Paid parental leave

Pay

The annual salary range for this position is $78,000-$93,000. Placement within the salary range is based on a variety of factors, including relevant experience, knowledge, skills, and other factors permitted by law.

Schedule

Employees who live within a commutable distance of one of our hub offices, currently located in Chicago, metro Detroit, Los Angeles, and New York City, are required and expected to work from the office three days per week (two days per week for employees based in Los Angeles).

Location

USA – Remote – Texas – Central Time

Brand

Merkle

Type

Full time

Contract Type

Permanent

Equal Opportunity Employer

Dentsu is committed to providing equal employment opportunities to all applicants and employees. We do this without regard to race, color, national origin, sex , sexual orientation, gender identity, age, pregnancy, childbirth or related medical conditions, ancestry, physical or mental disability, marital status, political affiliation, religious practices and observances, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law.