Data-Driven Marketing Strategist

Deluxe Corporation; New York, Northern (NY, KY); Hybrid; USD 80,000 - 98,000; Full time

Benefits offered by this job

Healthcare

Paid Time Off

Retirement Plan

Employee Stock Purchase Plan

Disability Insurance

Education Assistance

Tuition Reimbursement

Job summary

Deluxe Corporation is seeking an Analyst for the Audience Design team to analyze complex business problems with internal and external data. You will use BI tools such as AWS, Python, R, SQL, and Excel to create datasets for omni-channel campaigns and derive insights for decision makers.

You will develop and implement statistical models, partner with teams to set KPIs, and contribute to product and customer recommendations in a fast-paced environment.

Qualifications

• Completed coursework in Computer Science, Mathematics, Economics, Statistics with data analytics.
• 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 with SQL, IBM SPSS, Access and/or other database structures or big data tools

Responsibilities

• Uses BI toolsets to build datasets for omni-channel marketing campaigns and develops recommendations at product, customer, segment and business unit levels.
• Uses R and Python to develop, test, and implement statistical models to drive campaign results and product alignment.
• Partners with internal teams to develop KPIs derived from multiple data sources for new insights and decision-making.

Skills

AWS

Python

R

SQL

Excel

IBM SPSS

Access

Education

Bachelor's Degree

Tools

IBM SPSS

SQL

Excel

Job description

Deluxe Corporation is seeking an Analyst for the Audience Design team to analyze complex business problems with internal and external data. You will use BI tools such as AWS, Python, R, SQL, and Excel to create datasets for omni-channel campaigns and derive insights for decision makers.

You will develop and implement statistical models, partner with teams to set KPIs, and contribute to product and customer recommendations in a fast-paced environment.