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 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 problem
Experience in Marketing Analytics is preferred
At dentsu, we believe great work happens when we’re connected. Our way of working combines flexibility with in-person collaboration to spark ideas and strengthen our teams. 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). Dentsu may designate other Hub offices at any time. Those who live outside a commutable range may be designated as remote, depending on the role and business needs. Regardless of your work location, we expect our employees to be flexible to meet the needs of our Company and clients, which may include attendance in an office.
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.
Benefits available with this position include:
• 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, and
• Paid parental leave.
Dentsu also complies with applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, in accordance with its plans and policies. For further details regarding Dentsu benefits, please visit www.dentsubenefitsplus.com.
To begin the application process, please click on the “Apply” button at the top of this job posting. Applications will be reviewed on an ongoing basis, and qualified candidates will be contacted for next steps.
#LI-MS3 #LI-Remote
Location:
USA – Remote – Texas – Central TimeBrand:
MerkleTime Type:
Full timeContract Type:
PermanentDentsu 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.
Dentsu is committed to providing reasonable accommodation to, among others, individuals with disabilities and disabled veterans. If you need an accommodation because of a disability to search and apply for a career opportunity with us, please send an e-mail to [email protected] by clicking on the link to let us know the nature of your accommodation request and your contact information. We are here to support you.
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
