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Overnight Associate Data Analyst Jobs (NOW HIRING)

IT CURA Inc.

Data Analyst

Pasadena, CA · On-site

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 ...

Merican

Associate Data Engineer

Parsippany, NJ · On-site

$115K - $138K/yr

Develop Gold layer datasets that are curated, analytics-ready, and suitable for enterprise ... Associate Data Engineer 1-2 years of industry experience in data engineering, data analysis ...

Scopely

Associate Data Scientist

Sunnyvale, CA · On-site +1

$174K - $202K/yr

Associate Data Scientist (Niantic, Inc.; Sunnyvale, CA ... Analyze and interpret complex datasets to identify patterns, trends, and opportunities for ...

Home Depot

Associate Data Scientist

Atlanta, GA · On-site

$56K - $56K/yr

The Associate Data Scientist is responsible for supporting data science initiatives that drive ... Supports data science projects by conducting effective analysis to solve business problems;

Home Depot

Associate Data Scientist

Atlanta, GA · On-site

$56K - $56K/yr

The Associate Data Scientist is responsible for supporting data science initiatives that drive ... Supports data science projects by conducting effective analysis to solve business problems;

AssetMark

Associate Data Engineer

Charlotte, NC

$111K - $134K/yr

Analytics Engineering: Build, test, and maintain dbt/SQL data transformations and pipelines that deliver reliable, analytics-ready datasets in Snowflake * Data Modeling: Assist in developing ...

AssetMark, Inc.

Associate Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Analytics Engineering: Build, test, and maintain dbt/SQL data transformations and pipelines that deliver reliable, analytics-ready datasets in Snowflake * Data Modeling: Assist in developing ...

Pantheon Data

Data Analyst

Washington, DC · On-site

$70K - $100K/yr

Associate degree in Data Analytics, Engineering, Information Systems, or related field. * 4 years of relevant experience, or 3 years with a Bachelor's degree. * CAP Essentials certification preferred.

Penske

Associate Data Engineer III

Reading, PA

$110K - $132K/yr

And, it starts with our associates. No matter what your skills or technology stack, our IT team is ... You will support our software developers, database architects, data analysts and data scientists on ...

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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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Overnight Associate Data Analyst jobs near you
Associate Analyst, Data Analytics

Associate Analyst, Data Analytics

CMI Media Group

Cherry Hill, NJ • On-site

$35K - $65K/yr

Other

Re-posted 12 days ago

Job description

CMI Media Group has a passion for innovation in the pharmaceutical and healthcare industries. We use that passion to help leading organizations that are dedicated to improving the health of our society achieve their business goals by creating experiences that inform, educate, and stimulate behaviors that improve the quality of life.
The Associate Data Analyst is responsible for monitoring and organizing the day-to-day data operations related to advertising campaigns for assigned clients. Services include target list matching, collation of data for performance reports, data ingestion and extraction, cleansing, organization and visualization, as well as campaign monitoring.
Primary Accountabilities

Generate campaign performance reports for assigned brands. Tasks include, but are not limited to:

  • Extract and organize data from multiple internal and external data sources and platforms.
  • QA, organize, and create visualization of data based on provided measurement plans.
  • Monitor inbound data receipt, identify and troubleshoot any issues or missing data, and follow up with Supplier Partners and other internal teams.
  • Proactively identify and resolve issues that arise including reporting discrepancies, data inaccuracies, and report visualization changes.
  • With assistance, analyze reports and provide any observations to the Business Insights team.

Regularly monitor all live campaigns. Tasks include but are not limited to:

  • Ensure proper serving, click through action and conversion events.
  • Review monitoring reports and communicate any unusual activity related to non-human. trafficking, advertising blocks or alerts, viewability, and invalid traffic.

Coordinate day-to-day operations of list match services, including, but not limited to:

  • Conduct regular campaign list matching requests.
  • Upload Client target lists as requested.
  • Scrub target lists for removal of "opt-out" physicians as requested.
  • Export target buy lists to meet client requests.
  • Coordinate all ad hoc list match requests.
  • Troubleshoot target- list related issues as they arise.
  • Ensure compliance with confidentiality protocols as they relate to data transfers.

Maintain and build relationships with key customers and partners.
Success Factors

  • Thorough knowledge of our datasets and how they tie together
  • Ability to work fairly independently on assigned tasks
  • Demonstration of proactivity
  • Completion of tasks with minimal error

Requirements

  • Advanced knowledge of Microsoft Excel and PowerPoint
  • Strong analytical and mathematical skills
  • Keen attention to detail, organization, and strong follow up skills
  • Ability to manage deadlines and multiple/simultaneous competing projects/initiatives
  • Excellent teamwork skills
  • Self-Motivated
  • Willingness to learn and adapt to a changing environment
  • SQL/Python/R experience or coursework a plus
  • Tableau, or similar visualization tools, experience or coursework a plus

The base salary for this position at the time of this posting may range from $35,000-$65,000. Individual compensation varies based on job related factors, including business needs, experience, level of responsibility and qualifications. We offer a competitive benefits package, please visit https://www.wpp.com/people/wellbeing/benefits-at-wpp-in-the-us for more details.

Employment Type: Professional

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