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Goldman Sachs

Compare

3.5

based on 1.2k Reviews

286 Goldman Sachs Jobs

Business Intelligence - Associate

Goldman Sachs

3.5

based on 1.2k Reviews

4-9 years

Bangalore / Bengaluru

1 vacancy

Business Intelligence - Associate

Goldman Sachs

posted 5d ago

Job Role Insights

Flexible timing

Key skills for the job

Data Analytics Investment Banking SAP Business Intelligence Risk Management Financial Services CCTV Monitoring

+ 4 more

Job Description

The Corporate Planning Management (CPM) Division unifies Finance Planning, Spend Management, Operational Risk and Resilience, and CPM Engineering teams to deliver business planning and analytics, expense management, third party risk management, and governance strategies across the firm. CPM have 5 operating pillars.

Finance Planning supports the execution of the firm s strategic objectives through the management of the planning process, firmwide reporting and analytics and insights into the firm s business plans and budgets. They develop consistent framework for revenue division projections creating transparency, accountability, and efficiency around projections. This pillar also includes the CFO, EO and Engineering divisional CFOs, who are strategic finance advisors helping the firm and the non-revenue divisions achieve commercial financial opportunities.
Product Finance is responsible for the overall governance and proactive management of the firm s non-compensation expenses.
Spend Management encompasses the functions responsible for managing all aspects of the firms spend with third parties - advising commercial agreements and driving operating efficiency. Departments include Strategic Sourcing, Procure to Pay, Integrated Travel and Expense, Infrastructure and Transformation and Sustainable Operations.
Operational Risk Resilience drives firmwide Operational Risk programs along with second line teams and implements required changes within CPM. The Corporate Insurance Advisory team in this pillar identifies, procures, and manages corporate insurance needs for the firm and its investing businesses. The
CPM Engineering team provides engineering solutions that enable the firm to manage third-party spend, data and automation, plan budgets, forecast financial scenarios, allocate expenses and support corporate decision making in-line with the firm s strategic objectives.

Role Overview

Professionals in CPM have an analytical mindset, exhibit intellectual curiosity and are from diverse academic backgrounds. This role sits within the Spend Management pillar.

The role requires collaboration with different functions across the firm on a regular basis, an ability to work independently, and ability to interact with senior professionals across the firm. It also entails in-depth analysis and reporting for senior management, requiring diligence and a commercial mindset. The candidate is required to work closely with global counterparts. Should have excellent verbal and written communication skills.

Job responsibilities will include, but are not limited to:

Primary responsibility is to manage activities related to Business Intelligence (BI) team in Procure to Pay department. The role would require experience in automation, data modelling and analytics.
Use digital analytics and automation tools to analyze data to identify patterns, trends, and anomalies that may indicate potential risks.
Use predictive modeling techniques to forecast future events and potential impacts on the business.
Collaborate with different functions and stakeholders to understand the specific risk management and process automation needs, define key process metrics, key performance indicators, and build reporting solutions to equip businesses to take informed actions or decisions.
Use BI tools to develop interactive dashboards.
Implementing systems for continuous monitoring of key indicators and goals
Administering and optimizing databases to ensure efficient data storage, retrieval, and processing.
Develop and maintain data models; create entity relationship diagrams for databases.

Qualifications:

Academic Qualifications: A bachelors or masters degree in analytics/data science (or) any math/statistics/quant background, or
bachelors degree in Information Technology or Computer Science with proven experience in data engineering/business intelligence tools especially strong understanding of database concepts and data modeling.
Minimum 4 years of experience Business Intelligence Specialist or Data Scientist
Certifications : Relevant certifications in database technologies (eg, Certified Data Professional), ETL Tools (eg, Alteryx Core and Advance certified) and BI Platforms (eg, Tableau desktop specialist, RPA etc)
Strong understanding of ETL processes , data integration, data quality framework and ability to design and implement efficient data pipelines. Data Science, Analytics and Automation tools/platforms: Alteryx (preferred), RapidMiner, Informatica, Qliksense, AI or similar
Familiarity with data warehousing concepts and experience in designing, building, and maintaining data warehouses to facilitate efficient querying and reporting. Experience optimizing data warehouse performance through indexing, partitioning and other techniques.
Data Quality : Understanding of data quality best practices and experience in implementing data governance principles.
Data Security: Experience implementing security measures to protect sensitive data and ensure compliance with data protection regulations.
Experience working in a Procure to Pay function with a Financial Services Industry will be an incentive.

Competencies:

Functional Expertise: Keeps up to date with emerging business, economic, market trends.
Technical Skills: Demonstrates strong technical skills required for the role, attention to detail, takes initiative to broaden their knowledge and demonstrates appropriate analytical and risk management skills.
Analytical Skills: Presents sound, persuasive rationale for ideas or opinions. Takes a position on issues and influences others opinions with persuasive recommendations. Able to independently challenge ORR program stakeholders using data to drive business outcomes.
Drive and Motivation: Successfully handles multiple tasks, takes initiative to improve their own performance, works intensely towards extremely challenging goals, and persists in the face of obstacles or setbacks to drive collaborative execution. Effective and efficient time management skills
Client and Business Focus: Effectively handles difficult requests, builds trusting and long-term relationships with clients, helps clients to identify/define needs, and manages client/business expectations.
Teamwork: Acts as a strong team player, collaborates with others within and across global teams, encourages other team members to participate and contribute, and acknowledges others contributions
Communication: Communicates what is relevant and important in a clear and concise manner and shares information/new ideas with others. Able to clearly articulate observations and linked recommendations
Judgment and Problem Solving: Thinks ahead, anticipates questions, plans for contingencies, finds alternative solutions, and identifies clear objectives. Sees the big picture and effectively analyses complex issues.
Risk Management: Able to effectively apply risk mindset while re-evaluating process controls and balance the risk versus benefits to protect the firm.