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Overnight Associate Data Analyst Jobs in Tennessee

Stifel strives for a culture that puts its clients and associates first: a culture where everyone ... The Data Analyst is responsible for servicing ad-hoc data extraction and reporting requests ...

Why Stifel Stifel strives for a culture that puts its clients and associates first: a culture where ... The Data Analyst is responsible for servicing ad-hoc data extraction and reporting requests ...

Why Stifel Stifel strives for a culture that puts its clients and associates first: a culture where ... The Data Analyst is responsible for servicing ad-hoc data extraction and reporting requests ...

Associate Director, Data Science

Knoxville, TN · On-site

$56K - $56K/yr

Why Join Tombras Analytics? Tombras Analytics sits at the cornerstone of Connecting Data ... Job may require traveling overnight, driving long distances as required and sitting for extended ...

Data Strategy-Manager

Nashville, TN · On-site

$99K - $232K/yr

... 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 ...

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 ...

Program Analyst

Memphis, TN · On-site +1

$50K - $80K/yr

Summary You will serve as a data analyst responsible for compiling, analyzing, and reporting large ... Completed all requirements for an associates, bachelors, masters, professional, doctorate ...

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Overnight Associate Data Analyst information

Can an Overnight Associate Data Analyst work at night?

Yes, an Overnight Associate Data Analyst typically works during nighttime hours, often overnight shifts, to support 24-hour operations. This schedule allows for data analysis tasks to be performed during off-peak hours, and it may require familiarity with tools like Excel or SQL, as well as the ability to work independently during night shifts.

What does an overnight associate data analyst do?

An Overnight Associate Data Analyst is responsible for collecting, processing, and analyzing data during overnight shifts, often to support business operations that run 24/7 or require up-to-date reporting by morning. Their duties include cleaning and validating data, generating reports, and identifying trends or anomalies that occurred during the previous day. They often work closely with other analysts, managers, or IT staff to ensure accurate data flow and to resolve any issues that arise overnight. This role is essential for organizations that need timely insights to make informed decisions at the start of each business day.

What is the difference between Overnight Associate Data Analyst vs Overnight Data Coordinator?

AspectOvernight Associate Data AnalystOvernight Data Coordinator
Required CredentialsBachelor's in Data Science, Analytics, or related field; proficiency in SQL, Excel, and data visualization toolsBachelor's in Business, Information Systems, or related; similar technical skills often required
Work EnvironmentData-focused tasks during overnight shifts, often in office or data centersOvernight shifts managing data flow, often in logistics or retail settings
Employer & Industry UsageTech companies, retail, logisticsRetail chains, logistics firms, supply chain companies

The Overnight Associate Data Analyst primarily focuses on analyzing data to support business decisions, while the Overnight Data Coordinator manages data flow and integrity during overnight operations. Both roles require similar technical skills and often operate in related industries, but their core responsibilities differ in analysis versus coordination tasks.

What are the key skills and qualifications needed to thrive as an overnight associate data analyst, and why are they important?

To thrive as an Overnight Associate Data Analyst, you need a strong foundation in data analysis, statistics, and proficiency with spreadsheet and database tools, often supported by a relevant degree or coursework. Familiarity with analytics platforms like SQL, Excel, Python, and data visualization tools such as Tableau or Power BI is typically required. Attention to detail, problem-solving, and effective communication—especially for clear reporting and shift handovers—are standout soft skills in this role. These abilities are crucial for ensuring accurate, timely insights and seamless operations during overnight hours when independent work is essential.

What are the typical challenges faced by overnight associate data analysts, and how can they be managed?

Overnight Associate Data Analysts often encounter challenges such as adjusting to non-traditional work hours, maintaining effective communication with daytime teams, and managing high-priority data tasks with limited onsite support. Adapting to the overnight schedule may require careful attention to work-life balance and personal health. Proactively using collaboration tools, leaving detailed handoff notes, and participating in virtual team meetings help bridge gaps with colleagues on different shifts. Developing strong time-management skills and seeking mentorship from more experienced analysts can also help overcome these challenges and set the stage for career advancement.
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What job categories do people searching Overnight Associate Data Analyst jobs in Tennessee look for? The top searched job categories for Overnight Associate Data Analyst jobs in Tennessee are:
What cities in Tennessee are hiring for Overnight Associate Data Analyst jobs? Cities in Tennessee with the most Overnight Associate Data Analyst job openings:
Infographic showing various Overnight Associate Data Analyst job openings in Tennessee as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago


Stifel rating

8.3

Company rating: 8.3 out of 10

Based on 22 frontline employees who took The Breakroom Quiz


Job description

Stifel strives for a culture that puts its clients and associates first: a culture where everyone belongs, everyone is welcome, and everyone contributes to the success of our clients, their careers, and the firm as a whole.

Let’s talk about how you can find your place here at Stifel, where success meets success.


The Data Analyst will work as a member of Stifel's Analyst team within the Digital Solutions group. The Data Analyst is responsible for servicing ad-hoc data extraction and reporting requests originating from various areas of the business as well as support discovery or solutions for firm data driven initiatives and developments. This position is expected to work with business users as well as product management and development teams to further define requirements, analyze pertinent underlying data to ensure proper use and then translate those requirements into queries that will provide the objective data sets. The Data Analyst will also act as a subject matter expert for assigned raw data sets as well as maintain documentation surrounding them.


  • Develop an understanding of the Stifel business & data models, and use that knowledge to optimize the relationship between the company and the customer.
  • Field inbound requests from business users and product management and refine requirements until a full understanding is reached on the data being requested.
  • Build and leverage T-SQL queries to fulfill ad-hoc data requests or support data analysis needs related to firm initiatives and developments.
  • Perform due diligence on data produced to ensure quality and accuracy.
  • Provide peer review of ad-hoc data requests fulfilled by associate members of the Data Analysts team and provide assistance to fellow members as needed in larger project efforts.
  • Proactively identify and recommend process and practice improvement within the team.
  • Maintain strong communication with stakeholders, following up as needed to ensure all requests are being actively addressed and/or status is being communicated.
  • Triage requests to focus first on more time-sensitive items while maintaining awareness of overall team bandwidth and workload.
  • Gain and utilize a strong understanding of company applications and business practices in the context of how they affect the firm's data.
  • Perform in-depth analysis and act as subject matter expert for assigned raw data sets.

  • Solid understanding of financial industry terminology and concepts.
  • Knowledge of financial services, specifically wealth management.
  • Solid understanding of basic concepts of Microsoft T-SQL and database design.
  • Ability to leverage SQL to create queries which model and/or aggregate large complex datasets.
  • Leverage these skills to grow abilities in developing normalized data sets for enterprise wide business intelligence purposes.
  • Strong analytical skills focused on using logic and reasoning to identify complex relationships within a data structure as well as to research and discuss recommended uses.

  • Minimum Required: Bachelor's degree in Information Technology, Computer Science or Business Administration or equivalent work experience
  • Minimum Required: 1-3 years' of investment, financial or technical experience

  • Minimum Required: None.

  • Proficient in Microsoft Excel, Word, PowerPoint, Outlook.
  • Experience with ticketing systems.
  • Experience with office productivity, reporting, and technical documentation software.
  • Exposure to systems monitoring tools and logging tools.
  • Understands client/server computing architecture, user interfaces and application programing interfaces.
  • Understand concepts related to relational databases.
  • Ability to create intermediate SQL queries.
  • Experience with AWS and Python is preferred.

Stifel is more than 130 years old and still thinking like a start-up.  We are a global wealth management and investment banking firm serious about innovation and fresh ideas.  Built on a simple premise of safeguarding our clients’ money as if it were our own, coined by our namesake, Herman Stifel, our success is intimately tied to our commitment to helping families, companies, and municipalities find their own success.

While our headquarters is in St. Louis, we have offices in New York, San Francisco, Baltimore, London, Frankfurt, Toronto, and more than 400 other locations.  Stifel is home to approximately 9,000 individuals who are currently building their careers as financial advisors, research analysts, project managers, marketing specialists, developers, bankers, operations associates, among hundreds more.  Let’s talk about how you can find your place here at Stifel, where success meets success.

At Stifel we offer an entrepreneurial environment, comprehensive benefits package to include health, dental and vision care, 401k, wellness initiatives, life insurance, and paid time off.

Stifel is an Equal Opportunity Employer.


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