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Data Analytics Associate Jobs in Ashford, CT (NOW HIRING)

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in ...

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary ...

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Data Analytics Associate information

See Ashford, CT salary details

$3.2K

$6.2K

$8.9K

How much do data analytics associate jobs pay per month?

As of Jul 28, 2026, the average monthly pay for data analytics associate in Ashford, CT is $6,198.33, according to ZipRecruiter salary data. Most workers in this role earn between $5,625.00 and $6,608.33 per month, depending on experience, location, and employer.

What is an associate data analyst?

An associate data analyst is an entry-level or junior role responsible for collecting, processing, and analyzing data to support business decision-making. They often use tools like Excel, SQL, and data visualization software, and typically work under the supervision of more experienced analysts to develop their skills and understanding of data analysis processes.

What does a Data Analytics Associate do?

A Data Analytics Associate is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and data visualization techniques to identify trends, patterns, and insights from large datasets. Typically, they collaborate with different departments to interpret results, create reports, and provide actionable recommendations for process improvements or strategic planning. Their work is crucial for organizations looking to leverage data for competitive advantage.

Is an Associates in data analytics worth it?

An associate's degree in data analytics can provide foundational skills in data collection, analysis, and visualization, which are valuable for entry-level roles such as Data Analytics Associate. However, many employers also value relevant certifications and practical experience, so combining the degree with hands-on projects can enhance job prospects.

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

A Data Analytics Associate can analyze data sets, create reports, and support decision-making processes using tools like Excel, SQL, and data visualization software. This role often involves cleaning data, identifying trends, and working with teams to improve business outcomes, typically requiring strong analytical skills and attention to detail.

How does a Data Analytics Associate typically collaborate with other departments within a company?

Data Analytics Associates frequently work cross-functionally, partnering with teams such as marketing, finance, and operations. They help these departments interpret data, identify trends, and develop actionable insights that inform decision-making. Collaboration often involves attending meetings, participating in project teams, and communicating findings through reports or presentations. This close teamwork not only enhances business outcomes but also provides associates with exposure to different aspects of the organization, fostering professional growth.

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

To thrive as a Data Analytics Associate, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields like mathematics, economics, or computer science. Familiarity with data analysis tools such as SQL, Python, Excel, and visualization platforms like Tableau is typically required. Exceptional problem-solving abilities, attention to detail, and effective communication are crucial soft skills for interpreting data and presenting findings. These skills ensure accurate data-driven insights that support informed business decisions and drive organizational success.

Will AI replace data analyst?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, but it is unlikely to fully replace the need for human analysts. Data analysts are essential for interpreting complex data, making strategic decisions, and providing context that AI tools cannot fully replicate. Skills in data visualization, statistical analysis, and understanding business needs remain critical for the role.
Senior Manager, Data Analytics & Insights

Senior Manager, Data Analytics & Insights

Fidelity Investments

Smithfield, RI

Full-time

Posted 25 days ago


Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 270 frontline employees who took The Breakroom Quiz

16th of 150 rated financial services


Job description

Job Description:

Note: Fidelity will not provide immigration sponsorship for this position.

TheRole

Do you enjoy working with data and uncovering insights that lead to actions? The Senior Manager, Data Analytics and Insights role is instrumental in harnessing the power of data to provide valuable insight into associate behaviors regarding the use of workspace and amenities. These insights are developed using sophisticated data analytics and timely reporting, underpinned by accurate data. The objective of your work is to partner across the organization in developing the tools and supporting data infrastructure to meet reporting and analytics capability demands.

You will partner across the Real Estate organization to deliver insights into business performance and to develop predictive analytics that inform strategic decisionmaking. You will collaborate with business leaders, technology partners, and data teams to advance our analytics strategy. This includes contributing to data governance routines and ensuring the availability of trusted, timely data that enhances consistency, execution, and decision quality across the enterprise.

TheExpertiseand Skills You Bring

  • 5 years of experience in Data Analytics, Finance, or similar analytical roles
  • Bachelor's degree required; Master's degree preferred
  • Demonstrated experience in data analytics, data visualization, and data preparation using tools such as Tableau, Power BI, Alteryx
  • Experience with Snowflake and Alation strongly preferred
  • Working knowledge of SQL and core database concepts
  • Strong project management skills with experience coordinating multiple workstreams and stakeholders
  • Experience presenting insights to peers, managers, and executives
  • Interest in or exposure to AI, predictive analytics, and machine learning concepts
  • A passion for working with large and diverse data sets
  • Ability to translate data into concise, tailored insights that drive clear actions
  • Curiosity and comfort experimenting with new tools and approaches
  • A continuous improvement mindset, always seeking more effective ways to leverage data
  • A commitment to building solutions that balance quality, scalability, and speed
  • A pragmatic approach - knowing when to prioritize pace over perfection and when precision matters

The Team

Fidelity Real Estate Company is the corporate real estate division of Fidelity Investments, offering a full range of services to Fidelity business units nationally and internationally. Our philosophy is customer centric-everything we do focuses on delivering solutions that meet or exceed the needs of our customers at all levels. We manage more than 11 million square feet of space in the United States and overseas, including thirteen North American and six international locations, multiple data centers, and more than 200 retail investor centers.

Fidelity's Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.

Certifications:Category:Business Analytics and Insights

Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.


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