Goldman Sachs · 6 days ago
Senior Business Intelligence Specialist
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BankingFinance
Insider Connection @Goldman Sachs
Responsibilities
Analyze big data and undertake exploratory data analysis while observing best practices for experimentation / analysis
Perform data preparation, data blending, data visualization
Develop business intelligence applications and present outcomes
Design indicators of business intelligence application performance and risk metrics
Synthesize analysis results to inform business outcomes
Identify, escalate and resolve systems and algorithm performance trends or issues
Deliver business intelligence products in the context of your organizations change agenda
Track and report progress on projects, adhering to the solution delivery lifecycle
Seek information / guidance / opportunities from inside and outside of your firm / industry to corroborate outcomes
Collaborate with other solution experts / advisors to share ideas / code through showcasing outputs
Extend / modify analysis / development based on observations of data, process limitations and implications of outcomes
Manage team / teams of core and embedded specialists Business Intelligence Specialists
Lead oversight of client / customer / stakeholder engagements to drive low code opportunities
Partner with Engineering to ensure low code is provisioned in the context of your firms’ wider technology architecture strategy
Shape, define and execute on the Business Intelligence specialist career path
Advise and become advisor for evolving solution applications while keeping a view of full low code toolkit through solution design forums
Contribute to ever changing Business Intelligence risk and governance framework
Partner with internal and external firm innovation partners to drive adoption of new technologies, contributing to ongoing incubation of new low code applications
Qualification
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Required
7+ years’ experience in (1) Business Intelligence and (2) Project, Communication and Stakeholder Management
Bachelor’s degree or equivalent in Science, Technology, Engineering or Mathematics
Relevant experience in Consumer, Financial, Social Media, FinTech
Practitioner in business intelligence and/or artificial intelligence methodologies and their value / limitations
Software design and application of software according to the day-to-day realities of the business
Knowledge of data related emerging trends and issues including financial regulation
Preferred
Financial Engineering and / or Investment Management experience
Able to contextualize analysis in Confluence, JIRA, Microsoft Applications, etc.
Experience with implementing according to solution delivery frameworks such as Agile, Six Sigma, Waterfall, etc.
Experience in the practice of continuous integration / continuous deployment
Working knowledge of analytics applications (i.e. Alteryx, Tableau, Qlik)
Working knowledge of workflow applications (e.g. Appian, unqork, Xceptor)
Working knowledge of database tools (e.g. Elasticsearch, MS SQL Server)
Working knowledge of artificial intelligence programming languages (e.g. Python, R)
Working knowledge of artificial intelligence scientific computing packages (e.g. Scikit-Learn, Pandas, NLTK)
Working knowledge of artificial intelligence platforms including robotics (e.g. Automation Anywhere, Anaconda, GitHub/Lab, Jupyter Hub, UiPath)
Benefits
Competitive benefits and wellness offerings
Company
Goldman Sachs
Goldman Sachs is a multinational financial services firm providing securities, investment banking, and management services.
H1B Sponsorship
Goldman Sachs has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2023 (621)
2022 (721)
2021 (772)
2020 (523)
Funding
Current Stage
Public CompanyTotal Funding
unknown1999-05-14IPO· nyse:GS
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