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Baltimore, Maryland, United States
Hybrid
Senior Data Analyst on the Domain Analytics Team, part of M&T’s Customer Insights & Analytics Organization.
We provide analytical insights that empower Marketing and Digital Product organizations to drive business growth, strengthen customer relationships, and accelerate digital adoption.
Our work spans:
Experimentation & Measurement – Designing and analyzing tests to optimize customer acquisition for Retail and Business Banking segments.
Cross-Channel Analytics & Attribution – Understanding how customers interact across channels and identifying what drives engagement.
Digital Journey Analytics – Uncovering insights from web and app behaviors to improve customer experiences.
Digital Product Enablement – Partnering with product teams across the development lifecycle to support new feature launches with data and performance measurement.
Data Products & Ad-Hoc Analysis – Building dashboards and self-service tools, and delivering quick-turn insights to answer business questions.
LOCATION:
This role follows a hybrid work model, requiring onsite presence four days per week at one of M&T Bank’s regional offices. Candidates must reside within a reasonable commuting distance to one of the following locations:
345 Main Street, Buffalo, NY
115 Federal Street, Boston, MA
1 Light Street, Baltimore, MD
1350 I Street NW, Washington, DC
1100 North Market Street, Wilmington, DE
277 Park Avenue, New York, NY
850 Main Street, Bridgeport, CT
77 Pine Street, Burlington, VT
POSITION RESPONSIBILITIES:
Explore, mine, and profile data across multiple large complex datasets to gain and interpret insights for use in statistical and quantitative analytics.
Collaborate with both technical and non‑technical stakeholders to translate business questions into analytical solutions.
Support high‑quality analytics delivery by conducting data quality checks, collaborating on data model design, and applying best practices for code documentation and storage.
Conduct complex data manipulation and analysis with common programming languages.
Track and report performance of multiple campaigns. Identify deviations and explain variances. Consolidate findings for business consumption.
Develop business intelligence solutions designed to meet business needs.
Mentor junior team members and engage with peer teams.
Understand and adhere to the Company’s risk and regulatory standards, policies and controls in accordance with the Company’s Risk Appetite. Identify risk-related issues needing escalation to management.
Design, implement, maintain, and enhance internal controls to mitigate risk on an ongoing basis. Identify risk-related issues needing escalation to management.
Promote an environment that supports belonging and reflects the M&T Bank brand.
Maintain M&T internal control standards, including timely implementation of internal and external audit points together with any issues raised by external regulators as applicable.
MANAGERIAL/SUPERVISORY RESPONSIBILITY:
No supervisory responsibility.
MINIMUM QUALIFICATIONS REQUIRED:
Bachelor’s degree and a minimum of 5 years of related experience.
Experience with data analysis and statistical tools
Experience working in large databases
Experience in SQL and familiarity with common program languages for data analysis (SAS, Python, R).
Experience analyzing large data sets and explaining results of analysis through concise written and verbal communication.
IDEAL QUALIFICATIONS PREFERRED:
6 or more years related work experience in data analysis
Expert skills in SQL and working with relational databases.
Experience in programming languages such as SAS, Python, R.
Experience with data visualization tool (PowerBI, Tableau)
Experience with one or more cloud databases.
Experience working within an agile environment.
Experience analyzing web and digital product data, such as website traffic, user behavior, and events generated by web applications.
M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $113,300.00 - $188,800.00 Annual (USD). The successful candidate’s particular combination of knowledge, skills, and experience will inform their specific compensation.