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Overnight Associate Data Analyst Jobs (NOW HIRING)

The Associate Data Analyst will support reporting initiatives, analyze business data, develop dashboards, and help improve operational processes through data-driven insights and automation.

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

Associate Data Analyst

Clayton Services

Houston, TX • On-site

Full-time

Re-posted 6 days ago


Job description

Job Summary:
Clayton Services is searching for an Associate Data Analyst to join a growing organization in Northwest Houston. The Associate Data Analyst will support reporting initiatives, analyze business data, develop dashboards, and help improve operational processes through data-driven insights and automation.
Responsibilities:
• Develop, maintain, and enhance business dashboards, reports, and data visualizations to support operational and strategic decision-making
• Analyze large datasets to identify trends, performance metrics, and opportunities for process improvement
• Monitor and report key performance indicators (KPIs) for leadership and departmental stakeholders
• Write, optimize, and maintain SQL queries within relational database environments
• Assist with database maintenance, data structures, and reporting architecture to improve accessibility and efficiency
• Support data integration activities and automated data workflows across multiple business systems
• Identify manual processes that can be automated and implement solutions to improve accuracy and productivity
• Perform data validation, auditing, and quality control to ensure reporting integrity
• Partner with cross-functional teams to gather business requirements and deliver meaningful analytical solutions
• Create documentation, training materials, and reporting guides for end users
• Present analytical findings and recommendations to both technical and non-technical stakeholders
• Support additional reporting and data-related projects as assigned
Qualifications:
Required:
• Strong analytical, critical thinking, and problem-solving abilities
• Advanced Microsoft Excel skills
• Experience creating dashboards, reports, and data visualizations
• Strong SQL and relational database knowledge
• Ability to manage multiple priorities in a fast-paced environment
• Excellent written and verbal communication skills
• Strong attention to detail and commitment to data accuracy
• Ability to collaborate effectively across departments
• Customer-focused mindset with strong organizational skills
• 1+ years of experience in data analysis, business intelligence, reporting, or a related field
• Experience with SQL and relational databases required
Preferred:
• Bachelor's degree in Data Analytics, Business Analytics, Information Systems, Statistics, Computer Science, or a related field preferred
• Experience working with reporting and visualization platforms such as Tableau, Power BI, or similar tools
• Exposure to ETL processes, data integration, or data warehousing concepts preferred
• Experience with Python, automation tools, or scripting languages is a plus
• Experience supporting CRM systems or business applications is beneficial
Company:
Clayton Services is a staffing and recruiting firm for architecture, engineering, IT, manufacturing, and marketing. Founded in 1984, the company is headquartered in Houston, USA, with a team of 11-50 employees. The company is currently Early Stage.