Data Analyst

Discover your future at Citi

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Job Overview

What do we do?

• The TTS Analytics team provides analytical insights to the Trade Product, Pricing, and Operations functions within the global Treasury & Trade Services business. The team works on business problems focused on generating and reporting critical metrics for SLT level decision making and optimization use-case (related to workforce, pricing, assets sales etc.).

• The team builds and enhances Tableau dashboards, extracts relevant insights, identifies business opportunities, and converts business problems into analytical frameworks/ solutions.

ROLE DESCRIPTION

• The role will be Data/Information Mgt Analyst 2 (C10) in the TTS Analytics team

• The role will report to the AVP/VP leading the team

• The role will involve working on multiple Tableau DBs and analyses through the year on business problems pertaining to the Trade product for the TTS business

• The work involves setting up and optimizing data pipelines using big data technologies such as PySpark, Scala, and Hive. The role will also include working with SQL and NoSQL databases (e.g., MongoDB) to manage and retrieve data effectively.

• The role requires designing and deploying interactive Tableau dashboards to visualize data insights and provide stakeholders with actionable information using features such as Tableau Prep Flows, Level of Detail (LOD) Expressions, Table Calculations etc.

• This will involve leveraging multiple analytical approaches, tools and techniques, working on multiple data sources (client profile & engagement data, transactions & revenue data, digital data, unstructured data like call transcripts etc.) to enable data driven insights to business and functional stakeholders

Experience:

• Bachelor’s Degree with 4+ years of experience in data analytics, or Master’s Degree with 2+ years of experience in data analytics

• Must have:

  • Proficiency in designing and deploying Tableau dashboards

  • Strong experience in data engineering and building data pipelines

  • Experience with big data technologies such as PySpark, Scala, and Hive

  • Proficiency in SQL and experience with various database systems (e.g., MongoDB)

• Good to have:

  • Experience in financial services

  • Experience across different analytical techniques like hypothesis testing, segmentation, optimization etc.

Skills:

Analytical Skills:

• Strong analytical and problem-solving skills related to data manipulation and pipeline optimization

• Has the ability to work hands-on to retrieve and manipulate data from big data environments

• Ability to design efficient data models and schemas

Tools and Platforms:

• Proficient in Python/R, SQL

• Experience in PySpark, Hive, and Scala

• Strong knowledge of SQL and NoSQL databases such as MongoDB etc.

• Proficiency with Tableau (designing and deploying advanced, interactive dashboards)

• Proficient in MS Office Tools such Excel and PowerPoint

Soft Skills:

• Strong analytical and problem-solving skills

• Excellent communication and interpersonal skills

• Be organized, detail oriented, and adaptive to matrix work environment

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Job Family Group:

Decision Management

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Job Family:

Data/Information Management

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Time Type:

Full time

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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