Data Analyst

Job title: Data Analyst

Description:

This position is with the Enterprise System Management (ESM) department. The position is with a team responsible for a set of systems used to manage Morgan Stanley’s IT inventory and assets data, together with their configuration and operational state. This data is critical for regulatory, operational, and efficiency purposes.

Our goals are:

-Sourcing IT inventory and machine data (e.g. logs, alerts) in a timely manner.

-Storing the data in scalable repositories

-Providing analytics tools to analyze and derive insights from the data.

-Providing data access APIs so that other applications can consume the data and insights.

As a Data Analyst, you will be working with developers and other data analysts in building and using an internal platform for data analytics. You will be part of an ongoing data warehouse project for IT inventory data. You will be responsible for the collection of information and requirements from customers, as well as for data modeling, data wrangling, data onboarding and data analysis. You will also be responsible to present your data insights to customers.

As part of this role, you will have the chance to participate in shaping the next generation of our data analytics platform. Depending on experience, aptitudes and interest, there is the possibility to grow into a team lead.

Qualifications (required)

-Strong experience of SQL and relational databases

-Strong data modeling experience

-Experience with data integration frameworks and concepts

-Experience with Python

-Knowledge of Tableau

-Knowledge of QlikView

-Experience working in Unix environments

-Experience working directly with data consumers to fulfill their needs

-Strong networking and collaboration skills, particularly with other engineering teams

-Strong verbal and written communication skills

-Ability to work independently

Qualifications (nice to have)

-Experience with GIT

-Experience with Agile/DevOps

-Knowledge of Java?

-Knowledge of other BI/Reporting platforms

-Experience in DB performance tuning

-Experience in Software/System Design

-Knowledge of data center and IT inventory equipment

-Knowledge of data governance & master data management concepts

-Knowledge of AI and machine learning frameworks

-Experience with graph databases (e.g. Neo4J, RDF-based)

-Experience navigating large/complex IT environments and infrastructure

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