Data Analyst

What do we do?

• The TTS Analytics team provides analytical insights to the Product, Pricing, Client Experience and Sales functions within the global Treasury & Trade Services business. The team works on business problems focused on driving acquisitions, cross-sell, revenue growth & improvements in client experience.

• The team extracts relevant insights, identifies business opportunities, converts business problems into analytical frameworks, uses big data tools and machine learning algorithms to build predictive models & other solutions, and designs go-to-market strategies for a huge variety of business problems.

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 analyses through the year on business problems across the client life cycle – acquisition, engagement, client experience and retention – 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:

  • Marketing analytics experience

  • 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 methods like hypothesis testing, segmentation, time series forecasting, test vs. control comparison 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

Job Family Group:

Decision Management

Job Family:

Data/Information Management

Time Type:

Full time

Most Relevant Skills

Please see the requirements listed above.

Other Relevant Skills

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

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