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Evening Data Analyst Jobs (NOW HIRING)

Pharmpix

PR · On-site

Prepare manufacturer rebate submissions and supporting data files * Validate eligible claims ... Require evening or weekend work. PharmPix is an Equal Employment Opportunity Employer Minorities ...

BAMM Staffing

Azure Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

... detailed analysis of requirements, incidents, and process flows; prepare clear technical ... including occasional evening or weekend support for deployments. • Collaborate with cross ...

New

Bucks IU

Data Technician

Doylestown, PA · On-site

Analyze, develop, and maintain automation scripts. * Translate requirements of clients into ... Occasional evening and/or weekend work may be required as job duties demand. Travel: Travel ...

City of Worcester

PLANNING ANALYST

Worcester, MA · On-site

$31.40 - $38.27/hr

Attend evening meetings (typically 2-3 meetings per month) * Assist with processing monetary ... Strong data management skills * Proficiency with GIS mapping and analysis * Detail-oriented ...

Ilitch

VP, Global Data & Analytics

Detroit, MI · On-site

Requires accessibility during non-traditional hours such as evening, nights and weekends ... data analysis and communicate them to broad audiences. * Outstanding business acumen with an ...

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All JobsEvening Data Analyst Jobs

Evening Data Analyst information

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$34K

$82.6K

$136K

How much do evening data analyst jobs pay per year?

As of Jun 18, 2026, the average yearly pay for evening data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is the difference between Evening Data Analyst vs Night Data Analyst?

AspectEvening Data AnalystNight Data Analyst
Work HoursTypically 4-8 PM or 3-11 PM shiftsUsually 11 PM-7 AM or 12 AM-8 AM shifts
Required SkillsData analysis, reporting, proficiency in SQL and ExcelSimilar skills, with added emphasis on overnight system monitoring
Work EnvironmentOffice or remote during evening hoursOften in data centers or 24/7 operations
Industry UsageFinance, healthcare, retailIT, telecommunications, logistics

While both roles involve data analysis skills and similar tools, the main difference lies in their shift timings and work environments. Evening Data Analysts typically work during evening hours in office settings, whereas Night Data Analysts often work overnight shifts, sometimes in data centers or 24/7 operations. Understanding these differences helps candidates choose roles aligned with their schedules and industry preferences.

What are Evening Data Analysts?

Evening Data Analysts are professionals who work during evening hours to collect, process, and analyze data for organizations. Their primary responsibilities include preparing reports, identifying trends, and supporting data-driven decision-making after regular business hours. This role is especially important for businesses that operate globally or need round-the-clock data monitoring. Evening Data Analysts often collaborate with other teams to ensure timely and accurate delivery of insights. They typically use analytical tools and software to manage large datasets and provide actionable recommendations.

What are some common challenges faced by Evening Data Analysts, and how can they be effectively managed?

Evening Data Analysts often work outside traditional business hours, which can lead to challenges such as limited real-time collaboration with daytime team members and the need to independently resolve urgent data issues. To manage these challenges, it’s helpful to establish clear communication protocols, document processes thoroughly, and leverage collaborative tools to stay connected with colleagues. Additionally, understanding shift-specific priorities and maintaining a healthy work-life balance are crucial for long-term success in this role.

What are the key skills and qualifications needed to thrive as an Evening Data Analyst, and why are they important?

To excel as an Evening Data Analyst, you need strong analytical skills, proficiency in data interpretation, and a relevant degree in statistics, mathematics, or a related field. Familiarity with data visualization tools (such as Tableau or Power BI), SQL databases, and statistical software like Python or R is typically required. Attention to detail, problem-solving ability, and effective communication are essential soft skills for collaborating with teams and conveying insights. These competencies ensure accurate data-driven decisions, efficient workflow during evening hours, and valuable support for organizational objectives.
More about Evening Data Analyst jobs
What cities are hiring for Evening Data Analyst jobs? Cities with the most Evening Data Analyst job openings:
What are the most commonly searched types of Data Analyst jobs? The most popular types of Data Analyst jobs are:
What states have the most Evening Data Analyst jobs? States with the most job openings for Evening Data Analyst jobs include:
Evening Data Analyst jobs near you
Infographic showing various Evening Data Analyst job openings in the United States as of June 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 87% Full Time, 6% Part Time, 4% Contract, and 1% Nights. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Adjunct Faculty - Data Analytics SOBE

Concordia University

Irvine, CA

Part-time

Posted 18 days ago

Job description

Position Summary:

The School of Business and Economics at Concordia University Irvine is seeking applicants for adjunct faculty positions in the Data Analytics Business field. The School is IACBE accredited and strives to develop wise and honorable citizens capable of excelling as witnesses of Christ through their various roles within the academic field and elsewhere. Pursuant to this mission, we seek faculty candidates who can articulate the interconnection between their Christian faith and their academic pursuits.

Essential Duties and Responsibilities include:

  • Teaching MBA courses face-to-face, conducting office hours, and working with full-time faculty colleagues. MBA courses are generally taught once a week for seven weeks in the evening throughout the year.
  • Possible course topics encompass a range of data analytics and data analytics related topics from a business perspective teaching the deployment of analytical tools in identifying data needs, accessing data, organizing data and where possible storytelling through graphics.
  • Primary opportunities include face-to-face offerings in MBA Data Analytic courses such as MBA 608 Business Analytics, MBA 630A Big Data I, MBA 630B Big Data II, and MBA 611 Data Analytics on our Irvine campus where MBA students look to add to their understanding, applicability, and capability of data analytics in the business world rather than developing the competency of a Data Scientist.

Qualification Requirements:

  • Successful candidates must confess the Christian faith, demonstrate a commitment to a Lutheran liberal arts education, and have demonstrated teaching excellence
  • Candidates must also have an earned doctorate or a master's degree in a relevant field 3+ years of professional experience in the Business Data Analytics area
  • Abreast of current industry practices, trends, tools in the data analytics field
  • Knowledge of and ability to incorporate Python, Tableau, R, SQL, and Excel into classes.

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