Enterprise Data Analyst Senior

Posted 5 Days Ago
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Wilmington, DE
108K-179K Annually
Senior level
Other
The Role
The Enterprise Data Analyst Senior specializes in analyzing complex data sets to support business strategies and improve outcomes. Key responsibilities include data wrangling with SQL and Python, mentoring juniors, developing data solutions, and conducting impact analyses to inform business decisions.
Summary Generated by Built In

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.

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

M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $107,656.56 - $179,427.60 Annual (USD). The successful candidate’s particular combination of knowledge, skills, and experience will inform their specific compensation.

LocationWilmington, Delaware, United States of America

Top Skills

Python
SQL
The Company
HQ: Spring, TX
10,001 Employees
On-site Workplace

What We Do

Waste Connections, Inc. is an integrated solid waste services company that provides waste collection, transfer, disposal and recycling services in mostly exclusive and secondary markets in the U.S. and Canada. Through its R360 Environmental Solutions subsidiary, the Company is also a leading provider of non-hazardous oilfield waste treatment, recovery and disposal services in several of the most active natural resource producing areas in the United States, including the Permian, Bakken and Eagle Ford Basins. Waste Connections serves more than six million residential, commercial, industrial, and exploration and production customers from a network of operations in 39 states, six provinces and the District of Columbia. The Company also provides intermodal services for the movement of cargo and solid waste containers in the Pacific Northwest.

Our corporate strategy targets secondary and suburban markets that have strong demographic growth trends and where competitive barriers to entry can be developed. We seek to avoid highly competitive, large urban markets and target markets where we can provide either non-integrated or integrated solid waste services under exclusive arrangements, or markets where we can be integrated and attain high market share. We are a leading provider of solid waste services in most of our markets, and approximately 50% of our revenues are derived from market areas where we have franchise or exclusive rights to provide our waste services.

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