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Analyst - Data Science

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.

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

Essential Job Functions:

  • Handle reporting requirements for the Business Development Team, 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
  • Maintain data hygiene by creating, updating and deleting records in applicable systems
  • Analyze reports to draw meaningful conclusions, highlight trends, extract insights to support decision-making
  • Assist in process standardization and automation
  • Develop and implement statistical models and machine learning algorithms
  • 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

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.

Average salary estimate

$80000 / YEARLY (est.)
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$70000K
$90000K

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What You Should Know About Analyst - Data Science , StepStone Group

At StepStone, we’re excited to announce an opening for a Data Analyst in our Charlotte, North Carolina office, part of the Private Wealth team. We pride ourselves on being global private markets specialists, and the Data Analyst role is pivotal in delivering tailored investment solutions and driving impactful insights for our clients. As a Data Analyst, you'll dive deep into data sets to uncover meaningful trends and insights that will inform decision-making across various business lines. Your core responsibilities will include designing reporting templates, ensuring data accuracy, and applying your analytical skills to solve real-world problems. Collaboration is key in this role, as you'll work closely with our Business Development team and other departments. You’ll be expected to develop statistical models, assist in automating processes, and present your findings through reports and engaging data visualizations. If you hold a bachelor’s degree in Data Science or a related field, have a strong foundation in statistical analysis, and possess programming skills in Python, we want to hear from you! Join us, and be part of a community that values innovation, collaboration, and personal growth.

Frequently Asked Questions (FAQs) for Analyst - Data Science Role at StepStone Group
What are the main responsibilities of a Data Analyst at StepStone?

As a Data Analyst at StepStone, you will engage in various responsibilities, including gathering reporting requirements for the Business Development team, maintaining data hygiene, analyzing complex data sets, and developing statistical models. Your insights will support key decision-making processes, making this role integral to our Private Wealth team.

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What qualifications are needed to apply for the Data Analyst position at StepStone?

To qualify for the Data Analyst position at StepStone, candidates should ideally have a bachelor’s degree in Information Systems, Data Science, or Data Analytics. Proficiency in Python, experience with Power BI, and advanced skills in Microsoft Excel for data analysis are also important for this role.

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How important is collaboration for the Data Analyst role at StepStone?

Collaboration is vital for the Data Analyst role at StepStone. You'll work closely with the Business Development team, members of the Private Wealth team, and various other departments. This teamwork is essential to effectively translate complex data insights into actionable strategies that benefit our clients.

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What programming languages should I know for the Data Analyst position at StepStone?

Candidates for the Data Analyst position at StepStone should have proficiency in programming languages such as Python. Familiarity with Python libraries that aid data analysis and machine learning can give you a significant edge when applying for this role.

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What skills are prioritized for a Data Analyst role at StepStone?

The ideal Data Analyst at StepStone should possess strong analytical and problem-solving skills, with a keen attention to detail. Additionally, communication and collaboration capabilities are vital, as the role involves presenting findings and working effectively within a team setting.

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Common Interview Questions for Analyst - Data Science
Can you explain your experience with statistical analysis and data modeling?

When answering this question, highlight specific projects where you applied statistical methods or created data models. Discuss the tools you used, such as Python or R, and how your analysis contributed to decision-making processes.

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How do you ensure data accuracy and integrity?

Discuss your approach to maintaining data accuracy, including techniques such as regular data cleansing, validation methods, and how you document your processes. Mention any tools or software that aid you in this task.

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Describe a complex data set you analyzed and the insights you gained.

When discussing a complex data set, specify the context, the analytical techniques used, and how you derived insights from it. Explain how those insights influenced business decisions and outcomes.

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What statistical models are you familiar with, and how have you applied them?

List the statistical models you’ve worked with, such as regression analysis, clustering, or time series forecasting. Provide examples of how you applied these models in real-world scenarios and the impact of your findings.

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How do you handle tight deadlines in your work?

Illustrate your time management strategies and prioritization techniques in handling multiple deadlines. Describe a situation where you successfully delivered results despite time constraints.

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Can you give an example of how you automated a report or process?

Provide a specific example where you identified a repetitive task and implemented a solution to automate it. Discuss the tools and methods you used and the results achieved through automation.

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How do you stay updated with industry trends in data science?

Explain your commitment to continuous learning, including online courses, webinars, or industry journals that keep you informed about advancements in data science and analytics. Mention any communities or networks you engage with as well.

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What tools do you prefer for data visualization and why?

Discuss your preferred data visualization tools like Power BI, Tableau, or Python libraries. Explain how each tool helps communicate data findings effectively and enhance stakeholder understanding.

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How do you approach solving real-world problems with data?

Talk about your problem-solving methodology, emphasizing data exploration, hypothesis generation, and iterative testing. Share an example of a complex problem you resolved using data-driven insights.

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What challenges have you faced as a Data Analyst, and how did you overcome them?

Identify a challenge you've encountered in your data analyst role. Describe how you addressed it, highlighting the skills and strategies you employed to turn the challenge into a learning experience.

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StepStone Group (Nasdaq: STEP) is a global private markets investment firm focused on providing customized investment solutions and advisory and data services to our clients. StepStone’s clients include some of the world’s largest public and priva...

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Full-time, hybrid
DATE POSTED
April 17, 2025

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