Enterprise Data Analyst Senior

Job summary

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.

Benefits

Qualifications

• 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
• 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
• PREFERRED:
• Experienced working as a member of an Agile Team
• Experienced leading / mentoring team members on all analyst activities

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.
• 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.
• 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.

Skills

Degrees

Industry

Company size

Contract length