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Quant Analytics Associate - Audience Management (SAS/SQL)

ExperiencedNo visa sponsorship
J.P. Morgan logo

at J.P. Morgan

Bulge Bracket Investment Banks

Posted 12 days ago

No clicks

**Quant Analytics Associate - Audience Management (SAS/SQL)** Drive data-driven marketing strategies as a Quant Analytics Associate in Audience Management. Utilize Base SAS (Proc Freq, Proc Format, etc.) and SQL for data manipulation, segmentation, and transformation. Collaborate with marketers to gather requirements, design targeting schemes, and deploy final audiences across card, auto, home lending, retail, and wealth management domains. Leverage strong analytical skills and experience in business analysis, database marketing, and requirement gathering for a minimum of 3 years. Proficiency in Microsoft Office is essential. Preference for candidates with banking or financial institution experience and advanced Excel skills.

Compensation
Not specified

Currency: Not specified

City
Manila
Country
Not specified

Full Job Description

Location: Metro Manila, National Capital Region, Philippines

Join our Audience Management team and be at the heart of transforming marketing strategies through data-driven audience targeting. Bring your expertise in business analysis and database marketing to drive impactful campaigns across various domains. Unlock your potential in a role that offers growth and collaboration opportunities.

Job Summary:
As a Quant Analytics Associate in the Audience Management team, you will partner with marketers to gather requirements, propose designs for targeting and segmentation, and execute the delivery of final audiences. You will be responsible for developing code for data extraction and transformation, deploying audiences into production, and performing business analysis and database marketing functions for complex portfolio marketing campaigns using Base SAS programming and SQL querying. You will support domains including card, auto, home lending, retail, and wealth management.

Job Responsibilities:

  • Develop and execute code to define customer populations for complex marketing campaigns
  • Design functional specification documents for campaign execution
  • Communicate and clarify requirements, results, and timelines with marketers and project stakeholders
  • Assess information from multiple data sources, resolve inconsistencies, and transform high-level information into detailed technical specifications
  • Adhere to process requirements and checkpoints for campaign execution
  • Distinguish between requestors' wants and needs, challenge assumptions, and recommend alternative solutions
  • Develop code based on technical specifications to extract and process large volumes of customer and account data
  • Validate, audit, and test outputs to ensure programs meet original requests
  • Adhere to code development and documentation procedures, providing recommendations for improvement
  • Coordinate end-to-end process delivery with internal and external stakeholders
  • Provide support on ad hoc requests and special projects

Required Qualifications, Capabilities, and Skills:

  • Minimum of 3 years experience in developing Base SAS codes for data manipulation and report creation using procedures such as Proc Freq, Proc Format, Proc Sort, Proc SQL, and Proc Summary.
  • Experience as a Business Analyst in related domains
  • Experience in requirement gathering and interacting with offshore partners
  • Experience in database querying (Teradata/Snowflake)
  • Background in marketing operations, direct marketing, or data analysis
  • Strong analytical skills demonstrated by previous work experiences
  • Proficiency with Microsoft Office

Preferred Qualifications, Capabilities, and Skills:

  • Solid understanding of retail marketing programs
  • Familiarity or experience in operations, direct marketing, and data analysis in a banking or financial institution environment
  • Advanced Microsoft Excel knowledge
Partner with marketers to design and execute audience targeting and segmentation for complex marketing campaigns across domains.

Quant Analytics Associate - Audience Management (SAS/SQL)

Compensation

Not specified

City: Manila

Country: Not specified

J.P. Morgan logo
Bulge Bracket Investment Banks

12 days ago

No clicks

at J.P. Morgan

ExperiencedNo visa sponsorship

**Quant Analytics Associate - Audience Management (SAS/SQL)** Drive data-driven marketing strategies as a Quant Analytics Associate in Audience Management. Utilize Base SAS (Proc Freq, Proc Format, etc.) and SQL for data manipulation, segmentation, and transformation. Collaborate with marketers to gather requirements, design targeting schemes, and deploy final audiences across card, auto, home lending, retail, and wealth management domains. Leverage strong analytical skills and experience in business analysis, database marketing, and requirement gathering for a minimum of 3 years. Proficiency in Microsoft Office is essential. Preference for candidates with banking or financial institution experience and advanced Excel skills.

Full Job Description

Location: Metro Manila, National Capital Region, Philippines

Join our Audience Management team and be at the heart of transforming marketing strategies through data-driven audience targeting. Bring your expertise in business analysis and database marketing to drive impactful campaigns across various domains. Unlock your potential in a role that offers growth and collaboration opportunities.

Job Summary:
As a Quant Analytics Associate in the Audience Management team, you will partner with marketers to gather requirements, propose designs for targeting and segmentation, and execute the delivery of final audiences. You will be responsible for developing code for data extraction and transformation, deploying audiences into production, and performing business analysis and database marketing functions for complex portfolio marketing campaigns using Base SAS programming and SQL querying. You will support domains including card, auto, home lending, retail, and wealth management.

Job Responsibilities:

  • Develop and execute code to define customer populations for complex marketing campaigns
  • Design functional specification documents for campaign execution
  • Communicate and clarify requirements, results, and timelines with marketers and project stakeholders
  • Assess information from multiple data sources, resolve inconsistencies, and transform high-level information into detailed technical specifications
  • Adhere to process requirements and checkpoints for campaign execution
  • Distinguish between requestors' wants and needs, challenge assumptions, and recommend alternative solutions
  • Develop code based on technical specifications to extract and process large volumes of customer and account data
  • Validate, audit, and test outputs to ensure programs meet original requests
  • Adhere to code development and documentation procedures, providing recommendations for improvement
  • Coordinate end-to-end process delivery with internal and external stakeholders
  • Provide support on ad hoc requests and special projects

Required Qualifications, Capabilities, and Skills:

  • Minimum of 3 years experience in developing Base SAS codes for data manipulation and report creation using procedures such as Proc Freq, Proc Format, Proc Sort, Proc SQL, and Proc Summary.
  • Experience as a Business Analyst in related domains
  • Experience in requirement gathering and interacting with offshore partners
  • Experience in database querying (Teradata/Snowflake)
  • Background in marketing operations, direct marketing, or data analysis
  • Strong analytical skills demonstrated by previous work experiences
  • Proficiency with Microsoft Office

Preferred Qualifications, Capabilities, and Skills:

  • Solid understanding of retail marketing programs
  • Familiarity or experience in operations, direct marketing, and data analysis in a banking or financial institution environment
  • Advanced Microsoft Excel knowledge
Partner with marketers to design and execute audience targeting and segmentation for complex marketing campaigns across domains.