Our division recruits, develops and rewards the people of Goldman Sachs. Our teams advise, design and implement strategies, processes and technologies that help our people advance professionally, drive productivity and help the firm and our clients achieve superior results. We look for individuals with strong problem solving and analytical skills, innovative thinking and intellectual curiosity who want to make an impact on the success of the firm’s most valuable asset, our people.
TEAM & ROLE OVERVIEW
The Business Intelligence Centre of Excellence within the People Analytics function collaborates with global stakeholders across the HCM function and builds complex analytical solutions to support use-cases across the employee life-cycle, from hire to retire. We are seeking a highly motivated and result-oriented professional with strong expertise in data visualization tools (Power BI / Tableau), data modeling and most importantly, driving the adoption of data-driven decisions across the core functional areas of the division
RESPONSIBILITIES
- Expertise in Power BI and/or Tableau, including building complex interactive dashboards, advanced DAX (Power BI), LOD Calculations (Tableau) and optimizing performance for large datasets
- Strong experience in ETL processes, integrating data from sources like Oracle, Relational or No-SQL Databases, analytical databases like Snowflake or other cloud platforms
- Ability to translate complex HR Data into compelling insights, supporting strategic decision-making for leadership and business stakeholderS
- Understanding of data privacy, HR Data governance, security models and server-side understanding will be an added advantage
Familiarity with predictive modeling, ability to write basic/intermediate level of scalable, modularized code in R/Python will be a plus - Prior experience of working with HR datasets is preferred, but not mandatory
- Experience in partnering with mid-senior level stakeholders along with a passion for exploring new BI technologies and trends
EXPERIENCE & QUALIFICATIONS REQUIRED
- Bachelor’s/Master’s Degree in a Quantitative field (including but not limited to Statistics, Business Analytics, Actuarial Science) with 5-6 years of relevant experience
- Flexibility to work across a diverse range of projects with an aptitude of handling different stakeholders
- Highly organized, attention-to-detail and excellent follow-through
- Analytical mindset and problem-solving skills
- Ability to work in a fast-paced organization in an autonomous, yet collaborative environment
- Self-motivated and ability to think clearly under pressure and/or tight deadlines
- Strong verbal and written communication skills, as well as strong organizational and interpersonal skills
- Commitment to excellence and a high level of integrity
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.
We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.
We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html
© The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.
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