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Citizens

Sr Marketing Data Analyst- Checking & Deposits

Posted 2 Days Ago
In-Office or Remote
Hiring Remotely in United States
Senior level
In-Office or Remote
Hiring Remotely in United States
Senior level
The Senior Marketing Data Analyst will enhance marketing performance through data analysis, optimization strategies, and collaboration with marketing stakeholders, focusing on Checking and Deposit Acquisition.
The summary above was generated by AI

There’s no better time to be a Citizen! We are growing and looking to add to our Marketing Optimization team.

We are seeking a strategic Marketing Senior Data Analyst to collaborate with Checking and Deposit Acquisition Marketing that will drive incremental, high quality household growth by evaluating campaign strategies and customer targeting approaches. The analyst will focus on optimizing marketing performance through data-driven insights that improve efficiency, maximize customer net present value, and support long-term customer growth across channels and markets.

As the Marketing Analytics Single Point of Contact (SPOC), the Senior Marketing Data Analyst serves as the primary analytics partner for the Enterprise Marketing team, with a specific focus on Checking and Deposit Acquisition. Acting as the central point of contact between marketing stakeholders, data science, and analytics teams, the analyst evaluates campaign performance, optimizes channel and audience strategies, and delivers actionable recommendations that improve marketing efficiency and business outcomes. The analyst brings end-to-end ownership of analytics deliverables, ensuring insights are actionable, aligned to business priorities, and consistently delivered to stakeholders. This role requires a strong blend of advanced analytics, business acumen, and stakeholder partnership, with the ability to synthesize complex data into clear insights that inform decision-making across acquisition and long-term customer value.

Primary responsibilities include:

  • Partner with marketing stakeholders to understand business goals, acquisition strategies, testing roadmaps, and success metrics, translating them into analytic approaches and measurement frameworks.

  • Compile and assess data for analysis, extracting relevant insights and implementable solutions for our marketing partners.

  • Support experimentation and optimization efforts by helping design measurement approaches, interpreting test results, and recommending next actions.

  • Proactively identify opportunities to improve marketing efficiency and provide actionable recommendations.

  • Become an expert across marketing channels, customer segments and key markets tracked by Citizens’ Enterprise Marketing team to contextualize business activities and priorities.

  • Document and communicate technical/analytic results, insights, and recommendations to both technical and non-technical audiences.

  • Collaborate with data scientists and analysts on our team to brainstorm solutions, understand data availability and tools, provide project updates, and share ideas.

Required Skills/Experience:

  • 5+ years of experience in quantitative analytics including marketing analytics, financial modeling, applied statistics, or equivalent.

  • 5+ years of Python experience.

  • 3+ years of SQL experience.

  • Experience or exposure to data and analytics in Banking and/or Financial Services industry.

  • Strong written and verbal communication skills required with an ability to successfully communicate analytic results, insights, and resulting business implications to non-technical business partners.

  • Strong sense of ownership, relentless curiosity and self-driven approach to problem solving.

  • Demonstrated ability to play a leadership role in complex analytical projects.

  • Ability to work in a team environment and collaborate with colleagues who have a background in statistics and database development/maintenance.

  • Experience in complex experimental designs, marketing mix models and attribution models preferred.

Education, Certifications and/or Other Professional Credentials:

  • Bachelor’s Degree in statistics, economics, computer science, engineering or similar quantitative field required; master’s degree preferred.

Hours and Work Schedule:

  • Hours per Week: 40
  • Work Schedule: Monday - Friday
  • Hybrid: 4 days per week on-site, 1 day remote
About Us

Equal Employment Opportunity

Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague’s or a dependent’s reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability.

Equal Employment and Opportunity Employer

Job Applicant Data Privacy Policy

Background Check

Any offer of employment is conditioned upon the candidate successfully passing a background check, which may include initial credit, motor vehicle record, public record, prior employment verification, and criminal background checks. Results of the background check are individually reviewed based upon legal requirements imposed by our regulators and with consideration of the nature and gravity of the background history and the job offered. Any offer of employment will include further information.


Top Skills

Python
SQL

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