- Assist the development and deployment of business intelligence applications, ensuring alignment with strategic business objectives.
- Help synthesize complex analysis results into actionable insights and recommendations, influencing strategic business decisions.
- Identify, analyze, and resolve complex systems and algorithm performance trends or issues, developing mitigation strategies.
- Support the development and implementation of AI-driven solutions to enhance business processes and decision-making.
- Utilize data science methodologies to analyze large datasets and generate predictive models.
- Collaborate with data scientists and engineers to integrate AI solutions into existing systems.
- Stay updated on emerging AI and data science trends and technologies, incorporating best practices.
- Assist in project planning, execution, and reporting, ensuring adherence to the project lifecycle.
- Manage risks and dependencies proactively, ensuring successful adoption of automation products.
- Support and guide other solution experts and advisors, fostering a collaborative environment and promoting knowledge sharing.
- Contribute to the incubation of new low-code applications, identifying opportunities for innovation and driving adoption.
- Assist in complex and exploratory data analysis initiatives, ensuring adherence to best practices.
- Collaborate with Engineering to ensure automation solutions align with the firms technology architecture strategy.
- Support stakeholder engagements, identifying and cultivating new low-code opportunities.
- Actively seek out and evaluate information and opportunities from internal and external sources, incorporating best practices.
- Bachelor s degree or equivalent in Science, Technology, Engineering, or Mathematics.
- 2-5 years of experience in business intelligence, automation, and data analytics.
- Proficiency in digital strategy, business intelligence, automation, and artificial intelligence.
- Relevant experience in Consumer, Financial, Social Media, Tech, or FinTech sectors.
- Strong problem-solving and analytical skills.
- Excellent written and verbal communication skills.
- Ability to work independently and as part of a team.
- Knowledge of data-related emerging trends and issues, including financial regulation.
- Experience with implementing according to solution delivery frameworks such as Agile, Sig Sigma, Waterfall, etc.
- Able to contextualize analysis in Confluence, JIRA, MS applications etc
- Working knowledge of analytics applications (i.e Alteryx, Tableau, Qlik, Power BI)
- Working knowledge of workflow applications (e.g. MS Power Platform, Appian, unqork, ServiceNow)
- Working knowledge of database tools (e.g. Mongo DB, Snowflake, Elastic, MS SQL)
- Working knowledge of artificial intelligence programming languages (e.g. Python, R)
- Working knowledge of artificial intelligence computational packages (e.g. PyCharm, Scikit-Learn)
- Working knowledge of artificial intelligence platforms including robotics (e.g. Automation Anywhere, Anaconda, GitHub/Lab, Jupyter Hub, UiPath)
- Work in company
Engineering - Portfolio Analytics - Java Developer - Analyst
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Engineering - Portfolio Analytics - Java Developer - Analyst
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Human Capital Management-Analyst-Analytics - Bengaluru / Bangalore - Goldman Sachs
Description
Responsibilities:
Business Intelligence and Automation:
AI and Data Science:
Project Management:
Innovation and Strategy:
Stakeholder Engagement:
Qualifications:
Basic Qualifications:
Preferred Qualifications:
Solution Delivery
Business Intelligence
Artificial Intelligence
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