Enterprise Data Analyst Senior

Posted 3 Days Ago
2 Locations
In-Office
103K-172K Annually
Senior level
Fintech
The Role
Analyzes complex enterprise datasets using SQL and Python to support business decisions, data products, and strategic initiatives. Responsibilities include data discovery, profiling, mapping, lineage, data-flow documentation, source-to-target specifications, user acceptance testing, root-cause and impact analysis, and regulatory risk adherence. The role collaborates with business and technical stakeholders, develops end-to-end test plans, and mentors junior analysts.
Summary Generated by Built In
Enterprise Data Analyst Senior
Location: Must be able to work a hybrid scheduled (4 days in office/1 day from home) out of one of the following locations: Buffalo, NY | Bridgeport, CT | Wilmington, DE

OVERVIEW:
Specializes in working with large and complex data sets to evaluate, recommend, and support the implementation of business strategies. Identifies and compiles data sets using a variety of tools to help predict, improve, and measure the success of key business-to-business outcomes. Mentoring junior analysts.


This role encompasses a comprehensive analysis lifecycle, covering requirements gathering, activity execution and design planning.  Transforming raw data into structured information which will then be analyzed to glean insights that drive strategic business decisions. 

POSITION RESPONSIBILITIES:
Identify the most authoritative sources of data and the most accurate data field(s) when domain data is sourced for internal projects and/or products by querying databases. Maintain advanced knowledge of domain's products and services, and an advanced understanding of how data supports those offerings.
 

Wrangle complex data sets using SQL or Python scripting for analysis and delivery purposes.  Locate and explain data assets and connect them across different platforms and formats for multiple use cases.


Understand and document complex data flows for multiple business user stories, profile and review complex mappings and specifications across multiple use cases, develop enterprise level data solutions for problem statements, and perform complex data analysis across multiple use cases.


Prepare, create and execute large project, end to end test plans and scripts using SQL, Python, scripting and/or automation to test multiple/complex user stories.


Applies intermediate knowledge of their business domain including Business Operations, Business Processes, Data Flows and uses of Data in order to provide appropriate data to inform business decisions.


Mentor junior analysts in understanding M&T's data policies and procedures.

Translate business data needs into technical source-to-target mapping specifications and sample data mock-ups that provide clear direction to data engineers to enhance current data products in collaboration with stakeholders.


Conduct root-cause analysis of defects and triage these to the relevant teams for resolution depending on the root cause


Conduct impact analysis ahead of proposed business and/or technical changes


Communicate proposed data flows or source-to-target mappings along with their pros, cons, known limitations, variance materiality etc. to a variety of stakeholders, including business SMEs, product owners, data modelers, data engineers.
 

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.
 

Promote an environment that supports diversity 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.
Complete other related duties as assigned.
MINIMUM QUALIFICATIONS REQUIRED:
Bachelor’s degree and a minimum of 5 years related experience, or in lieu of a degree, a combined minimum of 9 years higher education and/ or work experience, including a minimum of 5 years related experience
Experience pulling data from Structured Query Language (SQL) platforms
Experience completing user acceptance testing for data products
Basic knowledge of data management

Knowledge of data cataloging and data lineage tools

Experience querying data that has been modeled in various techniques, e.g., slowly changing dimensions vs snapshots, key-value pairs vs normalized vs wide-table formats etc.

Experience developing source-to-target mappings in various data delivery patterns, e.g., full data loads vs CDC (change data capture) formats
IDEAL QUALIFICATIONS PREFERRED:
Experienced working as a member of an Agile Team

Experienced leading / mentoring team members on all analyst activities

Experience in creating data flows and high-level solutions with data

Advanced skills in SQL

Advanced knowledge of data management

Knowledge of assigned domain products, systems, and workflows
Data classification and privacy experience
Experienced using Data Governance Tools
Knowledge of statistic, data science techniques and tools

We support our team members with generous benefits. 

  • Competitive compensation 
  • Health, welfare, and retirement benefits 
  • 401(k) match at 5% 
  • Work-life balance and flexible work arrangements 
  • Banking Officers start with 25 days PTO plus 12 paid holidays  
  • 40 hours paid volunteer hours per year 
  • Much more. For details, see: M&T Benefits Overview 

M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $103,000.00 - $171,600.00 Annual (USD). The successful candidate’s particular combination of knowledge, skills, and experience will inform their specific compensation.

LocationBuffalo, New York, United States of America

Skills Required

  • Bachelor’s degree and at least 5 years of related experience, or 9 years of combined higher education and work experience including at least 5 years of related experience
  • Experience pulling data from SQL platforms
  • Experience completing user acceptance testing for data products
  • Basic knowledge of data management
  • Knowledge of data cataloging and data lineage tools
  • Experience querying data modeled using techniques such as slowly changing dimensions, snapshots, key-value pairs, normalized tables, or wide tables
  • Experience developing source-to-target mappings for full data loads and change data capture formats
  • Experience working as a member of an Agile team
  • Experience leading or mentoring team members on analyst activities
  • Experience creating data flows and high-level data solutions
  • Advanced SQL skills
  • Advanced knowledge of data management
  • Knowledge of assigned domain products, systems, and workflows
  • Data classification and privacy experience
  • Experience using data governance tools
  • Knowledge of statistics, data science techniques, and tools

M&T Bank Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about M&T Bank and has not been reviewed or approved by M&T Bank.

  • Retirement Support — Retirement benefits are positioned as a strong pillar, including a 401(k) match and the possibility of an additional employer contribution, plus access to an employee stock purchase plan.
  • Leave & Time Off Breadth — Time-off offerings are framed as competitive, with a flexible PTO approach and paid volunteer time called out as a meaningful add-on to standard leave.
  • Wellbeing & Lifestyle Benefits — Wellbeing support appears comparatively robust, highlighted by mental-health therapy/coaching sessions and broader wellness programming alongside community-oriented perks.

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The Company
HQ: Buffalo, NY
21,590 Employees
Year Founded: 1856

What We Do

M&T Bank is a multi-state community-focused bank serving New York, Maryland, New Jersey, Pennsylvania, Delaware, Connecticut, Virginia, West Virginia and Washington, D.C. Founded in 1856, the company provides banking, investment, insurance and mortgage financial services to more than 3.6 million consumer, business and government clients.

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