Hyderabad, Florida, India
1 day ago
Senior Technical Analyst
Job Description

Job Purpose

Intercontinental Exchange (NYSE:ICE) is a Fortune 500 company that operates a leading network of global futures, equity and equity options exchanges, as well as global clearing and data services across financial and commodity markets. 

 

By putting the needs of our customers and global participants first, we are a high-growth company that started by bringing transparency and risk management to the global derivatives markets. We’re engineers, strategists and problem-solvers who continually create and improve technology that solves market structure challenges on behalf of the industry.

 

The primary responsibility of this role will be to define and build Tableau Dashboards and Data sources for both internal and external facing customers, following the team’s SDLC. It requires the confidence to work with business domain experts in the Risk, Treasury and Operations teams. The business teams are based primarily in London, but the teams also have a presence in Hyderabad itself. You will also work alongside technical staff in London, as well as in other ICE offices, including the main US Atlanta office.

 

The role will require the incumbent to gain a good understanding of the entire clearing lifecycle from pre-trade preparations to post trade management, nuances of Risk and Treasury management, and familiarity with the data underpinning these processes.

 

There will also be an expectation to assist with responses to ad-hoc questions and requests from internal and external stakeholders. Some of these requests will be complex and urgent in nature, which will require an ability to work under pressure, rapidly analyzing data, validating and concisely communicating the responses.

 

As a Senior Analyst, the incumbent will need to be proactive and comfortable to take responsibility for key deliverables, mentor the analysts working within the team and provide training to business users on usage of Tableau.

 

Responsibilities

Improve the quality and efficiency of Business Intelligence.Take ownership of deliverables and produce high quality Tableau reports to an agreed schedule.Analyse and perform complex transformations on high volumes of dataPresent data and analytical conclusions in a concise manner and develop interim and production reports as business needs dictate.Be innovative in the display and visualisation of reports seeking to improve their use, effectiveness, and user experience.Business requirement definition, Functional designs for Tableau reports and Dashboards, test design, planning and execution are key aspects of the role.Provide Technical assistance and advice to development team for new reports in production, changes to specifications, or to assist in resolving issues in existing reports.Ability to integrate knowledge and reports into the production facing areas is essential so that reporting quality can be sustained.Liaise with business to finalise requirements, perform walkthroughs, and to assist them to comply with the team’s SDLCA high level of analytical complexity is involved as data is extensive together with an ability to absorb and apply knowledge as some business areas are complex.

 

Knowledge and Experience

Very Strong Tableau skillsStrong data analysis skills using Oracle/ SQL/ Excel i.e. ability to write or understand complex queries and modelsStrong working knowledge of ETL tools. Tableau Prep exposure is preferredComfortable working with Excel VBAA logical and analytical approach, high level of numeracy and attention to detailsExcellent interpersonal and communication skillsSelf-starter with the ability to work alone as well as part of a teamHigher level education

 

Desirable Knowledge and Experience 

Training in IT development methodologies, such as Agile, WaterfallExperience in financial industry (especially exchanges or clearing houses) or working with industry regulatorsHands on experience working with data feeds, interfaces, and workflowsExperience working with Python, or other programming languagesExposure to Process and Data Quality improvement initiatives
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