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Overnight Associate Data Analyst Jobs (NOW HIRING)

Associate Data Analyst

New York, NY · On-site

$70K - $77K/yr

Under the supervision of the Director of Software Development and Analytics, the incumbent performs a wide range of data analyses to assist with the execution and improvement of operational processes.

The main purpose of the data analyst is to support Marketing by fulfilling marketing data requests ... The associate is primarily seated while performing the duties of the position. Occasional walking ...

Conduct data analysis, data integration, and data management * Identify and develop new data ... Ability and knowledge to effectively explain technical concepts to non-technical associates, data ...

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Overnight Associate Data Analyst information

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.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but data analysts play a crucial role in interpreting complex data, making strategic decisions, and providing insights that require human judgment. The role of an Overnight Associate Data Analyst involves skills in data tools and critical thinking, which are less likely to be fully replaced by AI in the near term.

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.

Can I be a data analyst with no experience?

Entry-level data analyst positions, including overnight associate roles, often do not require prior experience but typically expect basic skills in Excel, data visualization, and analytical thinking. Gaining relevant certifications or completing online courses can improve your chances of qualifying for such roles. Practical experience through internships or projects can also be beneficial.

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.

Is 40 too late for data science?

For an Overnight Associate Data Analyst role, age is generally not a barrier if you have relevant skills like data analysis, proficiency in tools such as Excel or SQL, and a willingness to learn. Many data professionals start their careers later in life, and continuous learning or certifications can help improve job prospects regardless of age.

Can a data analyst work at night?

Data analysts can work night shifts if their employer offers overnight schedules or if they work in industries that operate 24/7. Overnight data analysis roles may require strong time management skills and familiarity with remote collaboration tools. However, most data analyst positions typically follow standard daytime hours unless specified otherwise.

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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Associate Data Analyst

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Posted 7 days ago


Job description

Description

At Darling Consulting Group (DCG), we pride ourselves on making the complex simple and building lasting relationships with our clients. As an Associate Data Analyst, you will work within our data operations team to support DCG's analytics capabilities across our products and services. This role is ideal for someone eager to learn our business, contribute to current data processes, and help shape next-generation data and analytics workflows.



Responsibilities:

  • Support existing data pipelines, working with a wide variety of flat-file data formats from hundreds of financial institutions
  • Validate and analyze data outputs for DCG's suite of analytics software, identifying and remediating data quality issues and gaps
  • Provide support for client-facing and internal data-related inquiries
  • Coordinate client communications related to data updates and changes
  • Maintain and document DCG's data quality 
  • Ensure workflows and data standards are consistently followed
  • Contribute to the design, documentation, and implementation of process improvements
  • Collaborate with peers and leadership to identify opportunities to enhance client experience and operational efficiency


Requirements


Skills & Qualifications:

  • Ability to work effectively in a fast-paced, deadline-driven environment while managing multiple priorities
  • Strong foundational knowledge of:       

            SQL      

            Microsoft Excel

  • Strong analytical and problem-solving skills with exceptional attention to detail
  • Effective time management and communication skills
  • Demonstrated ability to work collaboratively as part of a team
  • Bachelor's degree or equivalent practical experience


Knowledge of the Following is a Plus:

  • Python and/or Tableau
  • Financial modeling and/or financial analysis
  • Curiosity and openness towards AI by actively learning how to leverage effectively