Reference Data Analyst Senior
Wilmington, DE, United States
Full Time Senior-level / Expert USD 107K - 179K
M&T Bank
With a community bank approach, M&T Bank helps people reach their personal and business goals with banking, mortgage, loan and investment services.The Bank sponsors individuals for TN and H-1B transfers on a case by case basis. Please note that this position is not open to anyone on a H-1B or F-1 student visa including those eligible for CPT/OPT or the Stem OPT extension.
This role follows a hybrid work schedule; offering the flexibility to work remotely two days a week, while providing the opportunity for onsite and in person collaboration the other three days.
Locations available for this role include Wilmington, DE, Bridgeport, CT or Buffalo, NY
About the Team:
Our team is on a mission of unleashing the power of data to support decision making. Our team builds enduring data products, provides platforms to access & derive insights from data, enables confidence in decision making with appropriate data governance, delivers actionable insights through use of data science and activates value for the business by innovatively solving problems with data. We love translating data, insights, and anecdotes into action, we operate with a sense of urgency, have a startup mentality, build data analytic products at scale, and innovate solutions on behalf of our customers. We work hard but value the need for downtime to unplug and recharge. We embrace our differences and view them as a key driver of innovation. We are Data@M&T.
M&T promotes an environment that supports diversity, equity, and inclusion and reflects the M&T Bank brand. We function adhering to M&T internal control standards, and Data Governance principles.
About the Role:
As a Reference Data Analyst in Enterprise Data Analytics team, you will work closely with key business stakeholders and data product teams analyzing business processes, data flows, data lineage and implement data standardization techniques.
You will work with data product development teams to ensure that business requirements are accurately translated into system solutions that meet functional requirements.
You will support reference data standardizations, metadata management and data lineage documentation efforts supporting multiple concurrent projects.
You will analyze data quality issues identifying the root cause, work with data and business teams for resolution and report to Enterprise Data Issue Management team.
You will complete other related duties assigned as part of Enterprise Data Delivery team.
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
Strong conceptual knowledge in Reference Data Management principles and best practices followed in Financial industry.
Experience with any Reference Data Platform used in Financial industry.
Experience in implementing, initializing and maintaining Reference Data solution/platform.
Strong knowledge of Data Warehouse architecture and Data Analytics concepts.
Working knowledge of Agile Methodology, Strong collaboration with agile colleagues.
Hands-on experience in developing SQL queries.
IDEAL QUALIFICATIONS PREFERRED:
Experience in Financial industry Reference Data platform solutioning from the very beginning and managing the platform integrating with Big Data Warehouse applications.
Hands-on experience in Snowflake (SQL) and Python scripting.
Theorical knowledge of Cloud computing and skilled in SQL programming in cloud environment.
Working knowledge in Oracle Reference Data suite of products.(Oracle DRM, EDMCS etc.)
Strong knowledge of Data Warehouse architecture, Data Analytics and Data Life Cycle Management in Financial industry.
Tags: Agile Architecture Big Data Data Analytics Data governance Data management Data quality Data warehouse Oracle Python Snowflake SQL STEM
Perks/benefits: Competitive pay Equity / stock options Startup environment
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