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Analytics Associate Jobs in New York (NOW HIRING)

Morgan Stanley

Portfolio Analytics, Associate

New York, NY · On-site

$90K - $130K/yr

Morgan Stanley is looking for a Fund Services Portfolio Analytics Associate to provide performance, risk and reporting solutions to key Hedge Fund clientele, as part of the Portfolio Analytics group.

EDO

Media Analytics Associate

New York, NY · On-site

$66K - $68K/yr

The Role The Media Analytics Associate is a key member of the Media Analytics team, working side-by-side with Sales, Product, and Data Science to bring EDO data to life and maximize value for clients.

Morgan Stanley

Portfolio Analytics, Associate

New York, NY · On-site

$90K - $130K/yr

Morgan Stanley is looking for a Fund Services Portfolio Analytics Associate to provide performance, risk and reporting solutions to key Hedge Fund clientele, as part of the Portfolio Analytics group.

EDO

Media Analytics Associate

New York, NY · Hybrid

$66K - $68K/yr

The Role The Media Analytics Associate is a key member of the Media Analytics team, working side-by-side with Sales, Product, and Data Science to bring EDO data to life and maximize value for clients.

iCapital

Data Analytics - Associate

New York, NY · On-site +1

$110K - $150K/yr

About the Role iCapital is looking to hire an Analytics Engineer Associate to measurably drive growth for the business teams using analytics, data science and machine learning. This role will work ...

iCapital

Data Analytics - Associate

New York, NY · On-site

$110K - $150K/yr

About the Role iCapital is looking to hire an Analytics Engineer Associate to measurably drive growth for the business teams using analytics, data science and machine learning. This role will work ...

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Analytics Associate information

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How much do analytics associate jobs pay per month?

As of Jun 19, 2026, the average monthly pay for analytics associate in New York is $6,882.17, according to ZipRecruiter salary data. Most workers in this role earn between $6,241.67 and $7,341.67 per month, depending on experience, location, and employer.

What can you do with an associate's in data analytics?

An Analytics Associate with an associate's degree can perform data collection, cleaning, and analysis using tools like Excel, SQL, and basic statistical software. They often support data reporting, visualization, and assist in identifying trends to inform business decisions, typically working under supervision or as part of a data team.

How does an Analytics Associate typically collaborate with other departments within an organization?

Analytics Associates often work closely with teams such as marketing, finance, operations, and product management to understand their data needs and provide actionable insights. This collaboration involves regular meetings to discuss business goals, sharing analytical findings, and tailoring reports or dashboards to specific departmental objectives. Strong communication skills are key, as the role requires translating complex data analyses into clear recommendations for non-technical stakeholders. Building these cross-functional relationships not only enhances project outcomes but also provides valuable exposure to different areas of the business, supporting long-term career growth.

What does an associate analyst do?

An associate analyst supports data collection, analysis, and reporting to help organizations make informed decisions. They often work with tools like Excel, SQL, or data visualization software and may assist in preparing reports, identifying trends, and ensuring data accuracy under the supervision of senior analysts.

What is the difference between Analytics Associate vs Data Analyst?

AspectAnalytics AssociateData Analyst
Required CredentialsBachelor's degree in Business, Economics, or related field; often some certification in analytics toolsBachelor's degree in Statistics, Mathematics, or related; often similar certifications in data tools
Work EnvironmentCorporate settings, finance, marketing, or consulting firmsVarious industries including healthcare, finance, tech, and retail
Employer & Industry UsageCommon in finance, consulting, and corporate analytics teamsWidely used across industries for data-driven decision making

Analytics Associates and Data Analysts share similar educational backgrounds and work environments, often performing data collection, analysis, and reporting. The main difference lies in scope: Analytics Associates typically focus on supporting senior analysts and managers with specific projects, while Data Analysts may handle broader data interpretation and visualization tasks. Both roles are essential for organizations aiming to leverage data for strategic decisions.

What are the key skills and qualifications needed to thrive as an Analytics Associate, and why are they important?

To thrive as an Analytics Associate, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree in fields such as mathematics, economics, or data science. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is typically required. Attention to detail, critical thinking, and effective communication are crucial soft skills for interpreting data and presenting insights. These skills enable Analytics Associates to transform complex data into actionable business recommendations, driving informed decision-making.

What does an analytics associate do?

An analytics associate collects, analyzes, and interprets data to help organizations make informed business decisions. They often use tools like Excel, SQL, or data visualization software and may prepare reports or dashboards to communicate insights to stakeholders.

Is 40 too late for data science?

For an analytics associate or similar data-related roles, starting a career in data science at age 40 is possible, especially with relevant skills like programming, statistics, and tools such as Python or SQL. Many professionals transition into data science later in their careers, and employers value experience and diverse backgrounds. Continuous learning and certifications can enhance prospects regardless of age.
What are the most commonly searched types of Analytics jobs in New York? The most popular types of Analytics jobs in New York are:
What cities in New York are hiring for Analytics Associate jobs? Cities in New York with the most Analytics Associate job openings:
What are popular job titles related to Analytics Associate jobs in NY? For Analytics Associate jobs in NY, the most frequently searched job titles are:
Analytics Associate jobs near you

Portfolio Analytics Associate

Pantheon Ventures Careers

New York, NY • On-site

$125K - $135K/yr

Full-time

Posted 28 days ago

Job description

Pantheon has been at the forefront of private markets investing for more than 40 years, earning a reputation for an innovative approach to investing in secondaries, co-investments, and primary fund investments, as well as capital formation across commingled funds, evergreen vehicles and customized solutions. Our specialist investment capabilities span multiple strategies across private equity, infrastructure and real assets, and private credit. Through our collaborative and committed culture, we find new ways to solve complex problems together and deliver innovative investment opportunities across private markets. Pantheon currently manages approximately $82.3 billion in AUM across all its strategies, serving more than 750 institutional and 638 private wealth clients worldwide
For further details please visit www.pantheon.com
Purpose of Position
The motivated Associate will join DnA's Portfolio Analytics team to support the firm-wide analytics capability for Pantheon's evergreen / semi-liquid vehicles as well as single asset GP-led secondaries and co-investments. The role requires private markets knowledge coupled with semi-liquid fund (40 Act, SICAV) expertise who specialize in using data to develop strategic analytics to inform portfolio decision making, investment decisions, risk analysis, investor insights.
The role partners closely with various teams firm-wide, such as Core Portfolio Management, Investments, Technology, Portfolio Data and Valuations, Fund Finance, Risk to inform evidence-based decisions on portfolio construction, liquidity pacing, performance storytelling as well as supporting the IR teams with investor related analytics. The role will require working with Technology and Data Modelling teams to systemize the strategic analytics across the firm to build both tactical analyses and strategic solutions to better equip our investment teams as well as investors. This is a great opportunity to join a diverse, collaborative, high-performing team.
Key Responsibilities
  • You will perform evergreen fund- and asset-level analytics - time series and cross-sectional value driver analysis, portfolio composition analysis, risk-return analysis, market benchmarking alongside contribution and attribution analysis.
  • Execute deal/investment/company-level attribution and sector analytics to separate market vs. idiosyncratic return drivers.
  • Produce scenario, risk-concentration and macro-trend analyses
  • Produce portfolio analytics which are key input into cash-flow projections; feed outputs into pacing, liquidity and volatility reviews by partnering with Core Portfolio Management and Risk teams.
  • Help systemise data pipelines (ETL) for analytical dashboards in partnership with Technology and DnA teams.
  • Deliver end-to-end single-asset analytics: run back-testing and forward-looking NPV/IRR/ROE models, drill into value drivers, scenarios, stress tests, order-of-effects and optimal-exit timing; forecast distribution waterfalls and hedge effectiveness.
  • Power portfolio decisions: supply rolling NAV & cash-flow projections and post-mortem analyses versus original underwriting to arm Portfolio Management and Deal teams with data-driven insights.
  • Monitor private markets industry landscape to inform macro analytics and market mapping.

Knowledge and Experience Required
Essential background and skillset:
  • Relevant experience in private markets with focus on analytics, portfolio management, investments or risk.
  • Highly proficient in financial modelling, data analysis and accounting.
  • Expertise in return attribution, J-curve/L-curve analytics, risk-adjusted metrics.
  • Ability to translate complex analytics into actionable insights for senior stakeholders.
  • Experience in using a diverse analytics toolkit such as Excel, Powerpoint, Tableau/Power BI, Python
  • Bachelor's degree in Finance, Econometrics, Data Science or related field
  • Financial qualification (CFA, CAIA, FRM, ACA) or working towards one of these qualifications
  • Strong attention to detail, problem solving skills and ability to work and deliver with tight deadlines.
  • Innovative and entrepreneurial attitude. Comfortable taking initiative.
  • Ability to clearly and effectively communicate quantitative insights.
  • Willing to work in a position with uneven and high priority project work.

Preferred (additional) background and skillset:
  • Experience working in financial services, preferably in private markets especially fund of funds structure
  • Deep exposure to semi-liquid/evergreen products (for example, 1940 Act); coupled with direct investment expertise.
  • Understanding of ETL processes and cloud warehouse technologies (Snowflake, Databricks, etc.)

Expected base salary range: $125,000 - $135,000
Actual base salary is determined by a range of factors including individual experience, skills and qualifications.
In addition to the above salary, Pantheon offers a generous employee benefits package and successful candidates are eligible to receive a discretionary bonus
This job description is not to be construed as an exhaustive statement of duties, responsibilities, or requirements. You may be required to perform other job-related duties as reasonably requested by your manager.
Pantheon is an Equal Opportunities employer, we are committed to building a diverse and inclusive workforce so if you're excited about this role but your past experience doesn't perfectly align we'd still encourage you to apply.

Apply