Software Engineer Jobs

About The Position

Requirements

• Master's degree in Telecommunications Engineering, Electronic Engineering, Computer Science, Business Analytics, or related field of study plus 1 year (12 months) of experience in the job offered or as Quant Analytics, Business Intelligence Analyst, Software Developer, Software Engineer, SAS Developer, or related occupation.
• Alternatively, a Bachelor's degree in Telecommunications Engineering, Electronic Engineering, Computer Science, Business Analytics, or related field of study plus 3 years (36 months) of experience in the job offered or as Quant Analytics, Business Intelligence Analyst, Software Developer, Software Engineer, SAS Developer, or related occupation.
• One (1) year of experience with combining data from different tables using SAS Data Step and SQL JOIN operations.
• One (1) year of experience with manipulating data using SAS procedures including Proc Freq, Proc Format, Proc Sort, Proc SQL, Proc Summary, and Data Step programming.
• One (1) year of experience with running and creating code for campaign execution and data analysis using relational databases with millions of records, including Oracle, Teradata, and Snowflake.
• One (1) year of experience with extracting data from databases, flat files, and external APIs using SAS and SQL.
• One (1) year of experience with writing SQL queries to retrieve specific data sets from relational databases.
• One (1) year of experience with integrating data from multiple sources to create comprehensive data sets for analysis.
• One (1) year of experience with auditing campaign results and providing execution insights using Excel formulas, pivot tables, and charts.
• One (1) year of experience with writing technical specification documents.
• One (1) year of experience with writing and executing shell scripts to automate tasks related to campaign execution and data analysis.
• Any amount of experience with accessing Unix systems remotely using PuTTY to execute and monitor scripts related to campaign execution and data understanding.
• Any amount of experience with running and creating scripts, managing file systems, and automating tasks using Unix to support campaign execution and data analysis.
• Any amount of experience with implementing automation to schedule and execute batch jobs using Autosys for campaign execution and data processing.

Responsibilities

• Develop code based on technical specifications to extract and process large volumes of customer and account data.
• Design, develop and execute code to define customer populations targeted in servicing and marketing campaigns.
• Guide marketing and business stakeholders on designing complex audience selections.
• Provide recommendations and feedback on improving and implementing strong control procedures.
• Maintain the data control environment and work closely with the Quality Validation and Control teams to ensure compliance with legal, marketing, and data use rules.
• Research data elements to be used for targeting using database metadata.
• Collaborate with business contacts to gather targeting requirements for campaigns.
• Develop and validate audit plans to ensure that targeted populations meet requirements.
• Recommend process improvements and assist in updating documentation as needed.
• Identify relationships and trends in data, as well as any factors that could affect campaign results.
• Provide sample sizes per category to validate all components extracted and derived fields created.
• Prepare campaigns for post-processing by the Analytics and Reporting teams.
• Develop and maintain campaign run-books and training documentation for business resiliency.