Mexico City

Sr. Data Modeler

Engineering

Duties and Responsibilities:

•    Analyze source systems to understand the data and develop data models
•    Collaborate with Product, Analytics and Engineering teams in designing and developing the next generation of the Amherst data warehouse
•    Review data and identify data anomalies that hinder movement to future state architecture
•    Develop plans for automating and implementing the clean-up of data using existing capabilities and/or developing new solutions

•    Partner and align with business leaders, stakeholders, product managers and internal teams to understand the requirements and technical specifications and address complex business questions in a globally distributed environment.

•    Understand data landscape i.e. tooling, tech stack, source systems etc. and work closely with the data Engineering team to improve the data collection and quality.

•    Understand business/product strategy and high-level roadmap and align analysis efforts to enable them with data insights and help achieve their strategic goals.


Required Experience:
•    Bachelor’s degree in Management Information Systems, Finance, Mathematics, Economics, Computer Science, Engineering or related quantitative discipline

•    4+ years of data analysis & data modeling experience; consulting or financial services industry experience is a plus

•    Proven results-oriented analysis that helped support positive change in the business strategy

•    Strong SQL skills and working knowledge of relational databases such as: SQL Server, Oracle, PostgreSQL, Snowflake and distributed databases such as Netezza, Teradata, Amazon RedShift

•    Good scripting/programming ability in one or more languages (e.g. Python, JavaScript, Java).

•    Capable of working closely with business including but not limited to, Engineering, BI and Product teams to ensure data initiatives are aligned with business needs and is of high quality.

•    Knowledge of data warehousing, and the development of physical and logical models.

•    Experience using data modeling tools such as: ERWin, ER Studio, Power Designer, IBM Data Architect, Dataedo etc.

•    Experience working in a Big Data environment e.g. Hadoop, Hive etc.

•    Strong team player

•    Strong communication skills, with an ability to express relevant, technical concepts in a clear and concise manner

•    Ability to see the big picture and effectively analyze complex issues

•    Strong technical ability, willing to learn and evolve your skills with advances in Technology

•    Familiarity with SCRUM or similar agile discipline is preferred.

•    Experience with business intelligence and data visualization tools is a plus

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