Overview
Remote
$75
Contract - Independent
Contract - W2
Job Details
Unable to partner with 3rd party vendors (Corp-to-Corp/C2C) for this opportunity. We are unable to sponsor at this time. Relocation assistance is not provided.
Overview
Our client, a leading institution in the banking and financial services sector, is seeking an accomplished Senior Data Analyst with deep expertise in marketing data and analytics. The ideal candidate will bring 15+ years of experience in data analysis and data warehousing, including 5+ years supporting marketing data initiatives within a bank or large financial institution.
This role requires advanced technical skills in SQL and PL/SQL, the ability to interpret complex business requirements, and translate them into data-driven insights and solutions that power marketing effectiveness, customer segmentation, campaign targeting, and strategic decision-making.
If you are passionate about turning raw data into actionable marketing intelligence—and thrive in an Agile, fast-paced, high-stakes environment—this role is for you.
Key Responsibilities
Qualifications
Unable to partner with 3rd party vendors (Corp-to-Corp/C2C) for this opportunity. We are unable to sponsor at this time. Relocation assistance is not provided.
Our client, a leading institution in the banking and financial services sector, is seeking an accomplished Senior Data Analyst with deep expertise in marketing data and analytics. The ideal candidate will bring 15+ years of experience in data analysis and data warehousing, including 5+ years supporting marketing data initiatives within a bank or large financial institution.
This role requires advanced technical skills in SQL and PL/SQL, the ability to interpret complex business requirements, and translate them into data-driven insights and solutions that power marketing effectiveness, customer segmentation, campaign targeting, and strategic decision-making.
If you are passionate about turning raw data into actionable marketing intelligence—and thrive in an Agile, fast-paced, high-stakes environment—this role is for you.
- Lead the design, analysis, and delivery of complex datasets to support marketing campaigns, CRM initiatives, and digital analytics (Google Analytics, etc.).
- Translate business requirements into efficient SQL queries, PL/SQL scripts, and data models to deliver insights.
- Collaborate with marketing, product, analytics, and IT teams to understand data needs and optimize reporting.
- Analyze large-scale datasets from data warehouses and external platforms to derive customer and campaign insights.
- Perform data profiling, cleansing, validation, and mapping to ensure data quality and alignment with business goals.
- Support the governance and documentation of business processes and data dictionaries related to marketing analytics.
- Contribute to data integration and data flow design across internal systems and marketing tools.
- Present findings and recommendations to technical and non-technical stakeholders, including executive leadership.
- Lead or support multiple workstreams using Agile and Waterfall methodologies.
- Mentor junior analysts and contribute to best practices in data analysis and marketing data strategy.
- 15+ years of total experience in Data Analysis, Data Warehousing, and Data Analytics.
- 5+ years of focused experience with marketing data within a bank or large-scale financial institution.
- Expertise in SQL, PL/SQL, data modeling, data integration, and enterprise data warehouse (EDW) environments.
- Strong familiarity with CRM systems and web analytics tools (e.g., Google Analytics).
- Deep understanding of data governance, data pipelines, and cross-functional data operations.
- Prior experience working in Agile environments with JIRA, Scrum teams, or similar frameworks.
- Demonstrated ability to lead data analysis projects independently from requirements to delivery.
- Excellent written, verbal, and visual communication skills; able to present complex findings clearly and persuasively.
- Experience with API integrations between data platforms and marketing tools.
- Knowledge of customer segmentation, attribution models, and campaign performance metrics.
- Background in financial services marketing, customer acquisition, or digital channel optimization.
- Proficiency with tools like Tableau, Power BI, or similar visualization platforms is a plus.
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