Data Analyst

TLDR

Work closely with various teams to support data initiatives, automate processes, and analyze data for actionable insights using advanced analytical skills.

We are global private markets specialists delivering tailored investment solutions, advisory services, and impactful, data driven insights to the world’s investors. Leveraging the power of our platform and our peerless intelligence across sectors, strategies, and geographies, we help identify the advantages and the answers our clients need to succeed.

Position Overview

The Data Analyst will work as part of the Enterprise Services Operations team and is expected to perform the fundamental core responsibilities described below. The Data Analyst will work closely with the Global CRM team, members of the Business Development team, and all relevant departments to support data initiatives.

Essential Job Functions:

  • Maintain data hygiene by creating, updating and deleting records in applicable systems in a scalable way, including writing Python or SQL scripts for automation of data updates, etc.
  • Assist in process standardization and automation
  • Partner with the Sales Enablement team to produce reports for Business Development efforts, including gathering requirements, creating report templates, and routinely updating reports
  • Apply analytical skills and knowledge to solve real-world problems, extract meaningful insights from complex data sets, and contribute to the development of data-driven outcomes
  • Analyze reports to draw meaningful conclusions, highlight trends, extract insights to support decision-making
  • Prepare and present reports and visualizations to communicate findings and recommendations to stakeholders
  • Identify and investigate issues or inconsistencies with data
  • Stay abreast of industry trends and advancements in data science and analytics

Education and/or Work Experience Requirements:

  • Bachelors degree in Information Systems, Data Science, Data Analytics preferred
  • Strong foundation in statistical analysis, machine learning, and data modeling
  • Proficiency in programming languages such as Python and experience with Python Libraries
  • Advanced proficiency in Microsoft Excel for data analysis and reporting
  • Experience with Power BI preferred

Required Knowledge, Skills, and Abilities

  • Strong analytical and problem-solving skills, with attention to detail and commitment to data accuracy and integrity
  • Strong communication and collaboration skills
  • Ability to work independently with minimal supervision
  • Ability to prioritize and work under tight deadlines
  • Highly motivated, self-learner, and technically inquisitive; able to master new concepts and processes with ease
  • Adjusts plans, expectations, and/or processes to meet changing needs of key stakeholders
  • Highly motivated individual with demonstrated initiative, independence, professionalism and adaptability
  • Well organized, good time management skills, and prioritizes appropriately
  • Effectively work in teams; team oriented
  • Maintains a positive attitude, strong work ethic, and treats others with respect

#LI-Hybrid

 

At StepStone, we believe that our people are our most important asset and crucial to our success.  We are an Equal Opportunity Employer that strives to create an environment that empowers our employees and allows them to be heard, regardless of title or tenure.  Our organizational community features multiple Employment Resource Groups as well as mentorship programs to enhance the employee experience for all.  

As an Equal Opportunity Employer, StepStone does not discriminate on the basis of race, creed, color, religion, sex, national origin, citizenship status, age, disability, marital status, sexual orientation, gender identity, gender expression, genetic information or any other characteristic protected by law.

Candidates must be at least 18 years old to apply.

StepStone Group is a global private markets specialist focused on delivering tailored investment solutions and advisory services. Our data-driven insights empower investors across various sectors and geographies to identify opportunities and make informed decisions.

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