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Data Quality Analyst Senior

Company: M&T Bank
Location: Buffalo
Posted on: May 16, 2022

Job Description:

This role offers a hybrid work schedule; offering the flexibility to work remotely two days a week, while providing the opportunity for in-person collaboration.This position is available in Buffalo, NY or Wilmington, DEAbout the TeamOur 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&TAbout the RoleAs a Quality Analyst Senior, you will be a part of a vibrant team with the mission of enabling confident decision making by providing data that is trusted through managing data quality. The team focuses on designing and implementing standardized, scalable solutions that identify data quality issues.You will identify, assess, monitor, document and communicate potential quality issues in the way data is collected, stored, processed, or used. Establishing process and strategy for ETL/Data-Load and Data Integration based data quality assessment and controls.You will perform data profiling, data discovery recognizing trends and statistical anomalies in the dataYou will evaluate large datasets for quality and accuracy and perform data analysis using applications or querying datasets for assessing initial data qualityYou will utilize SQL skills to profile or identify data quality issues in various database technologies like Hadoop-Hive SQL, Oracle, Teradata, Cloud etcYou will design and implement suitable Data Quality controls and rules working with lines of business data stewards and data quality admins based on importance of data elements and types of data movement through the ETL for continuous monitoring of dataYou will review the code created by other Data Quality analyst and ensure standards are flowed and review the code deployment and confirm that the expected code migrated to higher environments.You will collaborate with business and technical stakeholders to translate internal customer requirements into engaging visualization solutions and work to deliver best-in-class reporting standards that illuminate business insight while ensuring data quality and integrity.,You will provide mentorship and assistance in common job duties.You will research and determine scope, business impact, and complexity of data quality issues.Basic Qualification

  • Bachelor's degree and a minimum of 5 years' relevant work 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' relevant work experience
  • Excellent verbal and written communication skills
  • Demonstrated analytical ability
  • Creative problem-solving skills
  • Strong project management leadership
  • Experience coordinating cross-functional teams at various levels
  • Proficiency in the use of spreadsheets, graphing, and presentations with a working knowledge of financial modelsPreferred Qualification
    • Proficiency in various database technologies like Hadoop-Hive SQL, Oracle, Teradata, etc.
    • Experience with database or data analytics related programming languages such as SQL, Python, SAS, R, or Julia etc.
    • Strong experience and advanced understanding of the collection and management of metadata
    • analytical skills/problem solving/conceptual thinking
    • Business Analysis and Scoping of Client Requirements and Deliverables
    • Experience in designing ETL/Data integration processes, physical data modelling experience
    • Experience of Data Quality dimensions of DQ rules like completeness, validity, accuracy, timeliness etc.
    • Experience using data quality and governance tools such as: Informatica IDQ/DEQ, Axon, EDC, Collibra etc.
    • Required Knowledge of theories, principles, and methods utilized in the development of quality improvement metrics
    • ETL/Data integration and Data Warehouse knowledge/experienceCompany:At M&T Tech, we're a team of makers, doers, and builders, working to create the most advanced technology solutions in banking. We're not your stereotypical suit and tie bankers: We're an innovative team of leading tech experts, pushing boundaries, and taking risks. We're building an agile team of the most skilled and creative, workers to solve complex problems, architecting solutions, writing high-performance software, and charting our new path, all to make the lives of our customers, and the communities that we serve, better. Join us and be part of something new as we build tomorrow's bank, today.M&T Bank is a Top 20 US bank holding company and one of the best performing and financial stable regional banks in the country, we offer our technology employees a wide range of performance-based career development opportunities. We have a strong commitment to our customers and the communities we serve, and we continue to grow with a focus on the future. So, when looking to advance your career, look to M&T. Grow with us.Hiring Immediately.
      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
      • Start with 25 days PTO plus 12 paid holidays#MTBTechHub #datasteward #data #governance #analyst #quality #datagovernance #dataquality #dataanalystLocationBuffalo, New York, United States of America

Keywords: M&T Bank, Buffalo , Data Quality Analyst Senior, Professions , Buffalo, New York

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