Data Driven Marketing Analyst - Audience Design

Deluxe•New York, NY

1d•Hybrid

About The Position

This opportunity is a prefect fit for early career professionals with 1-2 years of experience in the data science space! Why join us: There is a reason we boast numerous awards like “Great Place to Work Certified” and “Best Place to Work” For Moms, Dads, LGBTQ, and VETS (just to name a few). At Deluxe, we know that great people make a great organization. We value our people so offer the typical benefits (401K, PTO, Medical, Dental) PLUS: Flexible time off, volunteer time off, paid maternity/paternity leave, tuition reimbursement, pet bereavement and more! A culture that keeps people. 42% of our team has been here over 10 years. When we asked our team why, we heard the people, benefits, family/home time, diversity, and team culture. Hybrid schedule, allowing you flexibility to work from home/remote several days per week 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.

Requirements

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
Must be 18 years of age or older
Candidates must have work authorization that does not require employer support now or in the future.

Nice To Haves

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

Responsibilities

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.