The Data Science Senior Analyst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Strong communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits. Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual.
Responsibilities:
Qualifications:
Education:
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
Responsibilities:
Lead meetings with Operations stakeholders and subject matter experts to define and gather requirements and overall objectives.Provide regular updates to the Project Manager on progress and risks & issues.Understand and identify appropriate systems and processes working with Operations and Technology to ensure development and onboarding of data feeds are in line with business requirements.Define business rules to enrich, transform, and normalize data across multiple systems and assign data ownership.Create, review, and enhance Business Requirement Documents (BRDs), Feed specifications and Dashboarding requirements to meet the needs of stakeholders.Communicate rollout plans and provide tool demos to stakeholders globallyUtilize standard processes, design tools throughout project development life cycle.Ensure deliverables are being met on a timely basis.Perform business/data analysis using standard technology tools and communicate requirements to Technology teamsKnowledge/Experience: 8+ years of experience in Software development life cycle with a background in product development and/or project managementFamiliarity with a range of risk information and risk management in an investment bank and corresponding controls/risk measuresGood Experience in basic technology development to write database (Oracle) SQL queries for data analysis, Hands on experience of evaluating data with PL-SQL queries is a must.Good knowledge of Microsoft Office packages (MS Word, Excel, PowerPoint)Expertise in data analysis and analytics/reporting developmentKnowledge of agile software development lifecycleExperience working on, and managing medium to large cross functional programsTrack record of driving change and innovating in the risk and control space in a collaborative wayRequired skills and qualifications:
Ability to see the whole picture without losing attention to detailStrong relationship management skills with the ability to effectively handle conflicts and influence negotiations without direct authorityAbility to clearly communicate business requirements to Technology teamsAbility to produce accurate, clear, and concise documentsAbility to resolve user queries related to the platform and analyses/provide quick solutions to remediate issuesStrong oral and written communication skillsCapability of multi-tasking and working under pressureAbility to target delivery dates and work with minimum supervisionSelf-driven person with a problem-solving attitudeNeed hands on experience in tools like Collibra, at least 1 industry tool in the field of Data Catalogue Management, Data Dictionary Management, Data Lineage Management, Data Modelling, Managing and defining Critical Data Elements (CDE)Education:
· Bachelor’s/University degree or equivalent experience
· Master’s degree is a plus
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Job Family Group:
Technology------------------------------------------------------
Job Family:
Data Science------------------------------------------------------
Time Type:
Full time------------------------------------------------------
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