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Analytics Associate Jobs (NOW HIRING)

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.

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 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.

Revenue Analytics Associate

OR · Remote

$118K - $130K/yr

Scope out analytical projects that could lead to revenue acceleration or risk mitigation. * Manage end-to-end data analysis tasks, including data extraction, cleaning, analysis and interpretation.

New

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.

The Business Analytics Associate will analyze marketing channel performance and client retention, collaborating with various teams to provide actionable insights and recommendations to executives.

Scope out analytical projects that could lead to revenue acceleration or risk mitigation. * Manage end-to-end data analysis tasks, including data extraction, cleaning, analysis and interpretation.

New

COMPANY OVERVIEW GMC Commissioning provides commissioning, analytics, and certification services for new and existing facilities. Our team is headquartered in San Diego, CA with offices in South San ...

COMPANY OVERVIEW GMC Commissioning provides commissioning, analytics, and certification services for new and existing facilities. Our team is headquartered in San Diego, CA with offices in South San ...

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Analytics Associate information

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$3.3K

$6.3K

$9K

How much do analytics associate jobs pay per month?

As of Jun 19, 2026, the average monthly pay for analytics associate in the United States is $6,290.58, according to ZipRecruiter salary data. Most workers in this role earn between $5,708.33 and $6,708.33 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.
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Infographic showing various Analytics Associate job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 65% Full Time, 33% Part Time, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $75,487 per year, or $36.3 per hour.
Portfolio Analytics, Associate

Portfolio Analytics, Associate

Morgan Stanley

New York, NY • On-site

$90K - $130K/yr

Full-time

Posted 6 days ago


Morgan Stanley rating

8.3

Company rating: 8.3 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

39th of 138 rated financial services


Job description

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.

Established in 2004, Morgan Stanley Fund Services (MSFS) is a global business within the Institutional Equities Division (IED) that provides fund administration services for over $700billion in assets across 350+ hedge funds, private equity and large family offices clients. Our best-in-class offering includes accounting and investors services, portfolio analytics, middle-office functions, regulatory and financial reporting, and tax services. Delivering these services to our clients and their investors is a diverse team of 1,400 highly skilled employees across the globe based in New York, London, Glasgow, Dublin, Mumbai, Bengaluru, and Hong Kong. Joining MSFS, you will discover a dynamic environment where every day offers new opportunities for personal growth and innovation. Here at MSFS your career isn't just a job, it's an incredible journey fueled by collaboration, challenge, and the chance to make a meaningful impact to our business, our clients, their investors and the wider Morgan Stanley franchise.

The MSFS Portfolio Analytics team is an energetic, globally connected group driving innovation in portfolio analytics for our clients. As part of the team, you will collaborate with colleagues and our clients to deliver impactful risk and performance reports, ensuring clients have the insights they need to succeed.

This differentiating MSFS service provides customized analytics to meet the complex needs of our clients. The team provides opportunities to lead new ways of thinking and actively contributes to developing new analytical tools through developing new ad-hoc scripts and working with our technology colleagues to build new tools. We value problem-solving, continuous learning, and creative thinking.

Our exceptional talent is passionate about data, eager to innovate, and ready to help shape the future of our analytics. If you want to make meaningful contributions for our clients, the Portfolio Analytics team offers the perfect opportunity to make your mark.

Responsibilities:

  • Assist in understanding the drivers of portfolio performance and risk via quantitative analysis, and communicate results to clients

  • Provide solutions to Hedge Funds related to investment reports, portfolio risk and hedging, currency risk and execution

  • Implement innovative statistical techniques to identify patterns in equity market and client's portfolio

  • Support hedge fund clients in their use of our proprietary web-based performance and risk applications,

  • Consult with clients on internal/external portfolio reporting

  • Work with the team to design and create investor transparency reports for select clients

  • Participate in sales pitches with members of the MSFS sales team

Qualifications:

  • Bachelor's/Master's degree within a quantitative/economics/finance field

  • Interest in finance, capital markets, portfolio analysis, statistics & technology is preferred

  • Strong attention to detail

  • Looking for someone who is a quick learner, is adaptive, is a team player, can multitask, has a strong work ethic, has excellent oral and written communication skills, and is comfortable with client interaction

Skills:

  • Strong knowledge of Microsoft Excel is required

  • Ability to manipulate and do computations on financial data sets using a programming language such as R or Python

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

At Morgan Stanley, we raise, manage and allocate capital for our clients - helping them reach their goals. We do it in a way that's differentiated - and we've done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.

Expected base pay rates for the role will be between $90,000 and $130,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.

Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.

Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.

For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.


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