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Analytics Associate Jobs in Connecticut (NOW HIRING)

Associate

Stamford, CT

$80K - $86K/yr

Bernstein Private Wealth Associates are client service professionals who exhibit drive, ambition ... People who possess strong analytical and communication skills (both written and verbal) and an ...

Associate

Stamford, CT ยท On-site

$80K - $86K/yr

Bernstein Private Wealth Associates are client service professionals who exhibit drive, ambition ... People who possess strong analytical and communication skills (both written and verbal) and an ...

Associate Bus Data Analysis

Hartford, CT ยท On-site +1

$54K - $81K/yr

Associate Bus Data Analysis - GA09AN We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every ...

Strong analytical and problem-solving skills * Excellent verbal and written communication skills ... As an Associate Broker, you'll have access to the comprehensive Vestian platform, designed to ...

Senior Associate, FP&A

Stamford, CT ยท On-site

$91K - $113K/yr

The Senior Associate will prepare and develop core FP&A deliverables, partner with internal functional teams, and contribute to process improvement and technology initiatives. The ideal candidate ...

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Analytics Associate information

See Connecticut salary details

$3.1K

$6K

$8.6K

How much do analytics associate jobs pay per month?

As of Jul 20, 2026, the average monthly pay for analytics associate in Connecticut is $5,984.17, according to ZipRecruiter salary data. Most workers in this role earn between $5,433.33 and $6,383.33 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 Tableau. They often support data-driven decision-making, generate reports, and assist in identifying trends for businesses or organizations.

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.

Can I be a data analyst with no experience?

While many data analyst roles prefer candidates with some experience, entry-level positions are available that focus on foundational skills such as Excel, SQL, and data visualization tools. Gaining relevant certifications or completing online courses can improve your chances of starting a career as a data analyst without prior experience.

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 at 40 is possible, especially with relevant skills like data analysis, programming, and familiarity with tools such as SQL or Python. Many professionals transition into data science later in their careers by gaining certifications or additional training, and age is generally not a barrier if the candidate demonstrates strong analytical skills and experience.
What are the most commonly searched types of Analytics jobs in Connecticut? The most popular types of Analytics jobs in Connecticut are:
What cities in Connecticut are hiring for Analytics Associate jobs? Cities in Connecticut with the most Analytics Associate job openings:
What are popular job titles related to Analytics Associate jobs in CT? For Analytics Associate jobs in CT, the most frequently searched job titles are:
Global Stock Selection Research - Analyst/Associate

Global Stock Selection Research - Analyst/Associate

AQR

Greenwich, CT โ€ข On-site

$165K - $200K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 18 days ago


Job description

About AQR Capital Management
AQR is a global investment firm built at the intersection of financial theory and practical application. We strive to deliver concrete, long-term results by looking past market noise to identify and isolate the factors that matter most, and by developing ideas that stand up to rigorous testing. By putting theory into practice, we have become a leader in alternative strategies and an innovator in traditional portfolio management since 1998.
At AQR, our employees share a common spirit of academic excellence, intellectual honesty and an unwavering commitment to seeking the truth. We're determined to know what makes financial markets tick - and we'll ask every question and challenge every assumption. We recognize and respect the power of collaboration, and believe transparency and openness to new ideas leads to innovation.
About The Team
The Global Stock Selection (GSS) group is responsible for the portfolio management and research of AQR's strategies relating to individual equities and equity related securities across all global liquid markets. GSS models are applied to market-neutral long/short portfolios in AQR hedge funds as well as to long-only, relaxed-constraint and low volatility portfolios for institutional equity mandates and mutual funds.
Your Role
AQR Capital Management is seeking a talented Researcher to join our team of professionals and focus on our proprietary strategies related to global stock selection. Candidates should be motivated and enthusiastic about implementing new ideas and are expected to be hands-on and self-sufficient in conducting all aspects of research projects. Researchers manage all aspects of the research process including data ingestion and processing, analysis, methodology selection, implementation, testing and performance evaluation. The role will involve collaboration with other researchers, portfolio managers, risk managers and traders to develop new and improve current investment strategies. Your responsibilities may include, but are not limited to:
  • Engage in alpha research and other quantitative analysis to improve current investment strategies in collaboration with existing research team
  • Perform statistical and economic research using traditional financial and alternative data to develop new alpha signals. Successful researchers manage, in collaboration with supervising portfolio manager, all aspects of the research process including data ingestion and processing, data analysis, methodology selection, implementation and testing, prototyping, and performance evaluation.
  • Engage in building, training and fine-tuning machine learning architectures for cross-sectional or time-series Learn how to use the appropriate model for the problem at hand. Construct economically nuanced features from raw data and adjust or develop new frameworks to evaluate their effectiveness. Engage with most recent academic and practitioner literature in the field.
  • Occasionally, conduct research on various aspects of the implementation of investment strategies such as trading cost models, risk models, optimization, and portfolio construction
  • Add features to proprietary research system to implement new research ideas
What You'll Bring
  • B.S. degree from a top institution in computer science, engineering, mathematics, statistics, operations research, physics or another quantitative discipline. Academic or practitioner experience in machine learning methodologies preferred
  • 2-5 years' experience working in a data driven research environment with an alpha focus
  • Experience in quantitative research at a top asset manager or hedge fund preferred
  • Proficient programming in Python required
  • Experience with translating mathematical models and algorithms into code
  • Ability to manipulate large financial data sets for empirical research and handle complex
  • Experience with machine learning software libraries such as scikit-learn, TensorFlow or PyTorch
  • Experience with natural language processing technology, including LLMs and prompt engineering is a plus
  • Strong quantitative skills with demonstrated understanding of mathematics, probability, statistics and linear algebra
  • Nuanced understanding of economic and financial concepts and demonstrated intuition around applying these concepts in a quantitative environment
  • Ability to work independently as well as part of a team
  • Demonstrated ability to express and articulate ideas and thought processes in both verbal and written form

AQR is an Equal Opportunity Employer. EEO/VET/DISABILITY
The salary range for this role is expected to be $165,000 to $200,000. This is the range that we in good faith believe is accurate for this role at the time of this posting. We may ultimately pay more or less than the posted range, depending upon factors such as skills, experience, location, or other business and organizational needs. This wage range may also be modified in the future.
This job is also eligible for an annual discretionary bonus.
We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.