Business Data Analyst

Job Description

Job Purpose

As a Business Data Analyst working on Automation projects, your primary responsibility is to analyze complex data sets, gather and manage business requirements, design innovative business solutions, and oversee their implementation. You will be working with multiple teams to gain subject matter expertise, conduct feasibility studies, market analysis, and identify and implement process improvement opportunities.

Your role requires you to collaborate and liaise with various business reference data teams such as Operations, /Evaluations, Index, multiple Product and Project Management, as well as Technology to ensure that the quality, completeness, timeliness, and breadth of various data sets are improved. You will leverage your expertise in Automation to support the development of solutions that leverage advanced technologies to automate business processes, improve efficiency, and drive business outcomes.

As a Lead Business Analyst, you must have the ability to collaborate with subject matter experts from various teams, understand complex processes and business needs, and present those concepts to others. You will conduct detailed gap analysis to identify opportunities and propose various possible solutions. You will also be required to gather and maintain a comprehensive library of detailed business requirements and oversee their production, while adhering to a set release cycle to ensure successful implementation.

Your work will be critical to the success of ICE Data Services in providing reference data that is used by our clients to make trading decisions, settle trades, make investment decisions, manage portfolios, analyze risk, create security master files, create client statements, and conduct other back-office functions. You will leverage your expertise in Automation and RPA tools to help develop innovative solutions that drive automation and efficiency in the management of these complex data sets.

Responsibilities

• Plan, organize, facilitate, and lead reviews of business requirements with users and developers to ensure accuracy, completeness, and mutual understanding.
• Collaborate with vendors to design, develop, and implement Automation solutions using RPA tools such as Automation Anywhere, SQLs, Python and VBA.
• Utilize expertise in programming languages such as SQL and Python to perform data analysis and recommend various solutions to improve data accuracy, timeliness, and completeness.
• Create data visualizations utilizing tools such as Tableau\Power BI to present and recommend alternative solutions as well as drive data-driven decision-making.
• Conduct feasibility studies to determine the technical and economic feasibility of the proposed solution.
• Understand and document well-organized, detailed, and concise business requirements by converting the results of data from interviews and conducting own analysis.
• Identify opportunities in current processes, conduct GAP analysis to quantify issues, and recommend alternative solutions that will optimize process and/or improve the completeness, timeliness, and quality of the data set.
• Coordinate and collaborate effectively with the project team, including but not limited to end-users, product management, evaluations, index, portfolio analytics, quality assurance, project management, and development teams to mitigate and assess project risks, eliminate ambiguities, and meet project deadlines.
• Examine current business functions and system capabilities. Identify trends and causations of inaccurate and/or incomplete data sets by conducting in-depth root cause analysis.
• Determine efficiencies, accuracy, timeliness, completeness gained from recommended solutions.
• Monitor project progress by tracking activity, resolving problems, and publishing progress reports. Prepare production release notes and organize review sessions with RDO and DSG groups to ensure a full understanding of release scope.
• Apply problem-solving skills to create innovative workflow resulting in increased productivity.
• Write complete and concise test scripts for user acceptance testing. Plan, coordinate, and execute created test cases.
• Identify any potential data gaps resulting from the creation of new fields and/or rules. Work with related groups to confirm completion of data backfills required after a production release.
• Coordinate closely with the RDO training team to ensure all training documentation is adjusted, and all training sessions are completed before the release rollout.
• Mentor junior team members on Automation tools and best practices.
• Create working relationships with Data Vendors to understand content and escalate issues.
  
  

• Experience scripting with Python
• Very strong querying capabilities using SQL.
• Deep understanding in various RPA and Automation tools.
• Direct experience as a Business / Data Analyst.
• Ability to work in a fast-paced, high-pressure, fluid environment.
• Ability to distill large amounts of information into specific takeaways.
• Excellent attention to detail and a high degree of demonstrated decision-making and problem-solving skills.
• Excellent written and oral communication skills, including the ability to communicate technical concepts to both technical and non-technical stakeholders.
• Experience working with APIs, an advantage.
• Knowledge of software development, life cycle and experience with Agile methodologies is required.
• Bachelor’s degree or higher in Economics, Computer Science, Information Systems, or related technical or financial field required.