Data Driven Marketing Analyst 1 - Audience Design
New York-NY-USA, United States
The Audience Design team is responsible for analyzing complex business problems and issues using data from internal and external sources to provide insight to decision makers. Analysts identify and interpret trends and patterns in datasets to locate influences utilizing established mathematical/statistical methodologies.
As an Analyst, you will utilize BI tools (AWS, Python, R, SQL, Excel) to create datasets for omni-channel marketing campaigns and extract data for product and customer recommendations. Develop and implement statistical models.
Job Functions:
- Uses business intelligence (BI) toolsets (e.g., AWS, Python, R, IBM SPSS, SQL, excel and similar) to build targeted datasets for omni-channel marketing campaigns. Participate in data mart queries to extract relevant information and develop recommendations at the product, customer, segment, and business unit level.
- Uses R and Python to develop, test, and implement statistical response, performance, and lookalike models to drive campaign results and product alignment.
- Partners with internal team members to develop KPI's derived from multiple data sources to enable new insights and future decision-making.
Basic Qualifications:
Education and Experience: Bachelors Degree
- Successfully completed coursework in Computer Science, Mathematics, Economics, Statistics, or related field with data analytics coursework
- Educational/Work experience with Microsoft Excel
- Experience in R or other statistical modeling tools
- Experience in python and other big data tools and languages
- Experience of SQL, IBM SPSS, Access and/or other database structures or big data tools
Preferred Qualifications:
Experience: 1 year of experience in use of statistical modeling tools and big data tools
- Highly motivated, results-oriented, and proactive, with an ability to prioritize and manage several projects at once
- Exceptional attention to detail and accuracy
- Ability to work well independently and with others, comfortable with a high level of responsibility
- Exceptional written, oral, and interpersonal communication skills
- Ability to gain consensus and drive projects forward in a fast-paced, challenging environment
Additional Basic Qualifications:
Must be 18 years of age or older
Benefits
In line with our commitment to employee wellbeing, our total rewards benefits package is designed to support the physical, financial, and emotional health of our employees, tailored to meet their unique and evolving needs. Our approach considers our employees’ whole selves, ensuring they can thrive both in and outside of work. Here are some of the benefits we offer, which may vary based on role, location, or hours worked:
Healthcare (Medical, Dental, Vision)
Paid Time Off, Volunteer Time Off, and Holidays
Employer-Matched Retirement Plan
Employee Stock Purchase Plan
Short-Term and Long-Term Disability
Infertility Treatment, Adoption and Surrogacy Assistance
Tuition Reimbursement
These benefits are designed to enhance the health, protect the financial security, and provide peace of mind to our employees and their families.
Deluxe Corporation is an Equal Employment Opportunity employer:
All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, disability, sex, age, ethnic or national origin, marital status, sexual orientation, gender identity or presentation, pregnancy, genetics, veteran status or any other status protected by state or federal law.
Please view the electronic EEO is the Law Poster which serves to inform you of your equal employment opportunity protections as part of the application process.
Reasonable Accommodation for Job Seekers with a Disability: If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to deluxecareers@deluxe.com.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Big Data Business Intelligence Computer Science Data Analytics Economics Excel Mathematics Python R Security SPSS SQL Statistical modeling Statistics Testing
Perks/benefits: Equity / stock options Health care
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