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Night Shift Python Data Analyst Jobs in Gilbert, AZ

D Wednesday - Saturday/ Thursday - Saturday & Night Shift (8pm ~ 8am) Job Summary: We are seeking a detail-oriented and analytical Warehouse Data Specialist to join our team. In this role, you will ...

New

... your analysis of operational issues -Helping to interview, train and onboard new team members ... both night and day shifts). -This role supports data centers in various operational stages. The ...

... your analysis of operational issues -Helping to interview, train and onboard new team members ... both night and day shifts). -This role supports data centers in various operational stages. The ...

... your analysis of operational issues - Helping to interview, train and onboard new team members ... night and day shifts). - This role supports data centers in various operational stages. The ...

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Data analysts will develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements. Primary skillset: Python/Pyspark & Azure, ADF ...

Recruit and train data technicians to ensure appropriate staffing levels Ensure effective and efficient management of day-to-day data center operations including queue management, 7/24 shift ...

Recruit and train data technicians to ensure appropriate staffing levels Ensure effective and efficient management of day-to-day data center operations including queue management, 7/24 shift ...

Data Center Manager (Night Shift)

Glendale, AZ · On-site

$166K/yr

Recruit and train data technicians to ensure appropriate staffing levels Ensure effective and efficient management of day-to-day data center operations including queue management, 7/24 shift ...

Showing results 41-60

Night Shift Python Data Analyst information

See Gilbert, AZ salary details

$33.9K

$82.4K

$135.6K

How much do night shift python data analyst jobs pay per year?

As of Aug 9, 2026, the average yearly pay for night shift python data analyst in Gilbert, AZ is $82,376.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,300.00 and $96,700.00 per year, depending on experience, location, and employer.

What is the difference between Night Shift Python Data Analyst vs Night Shift Data Scientist?

AspectNight Shift Python Data AnalystNight Shift Data Scientist
Required SkillsPython, SQL, data visualization, basic statistical analysisPython, R, machine learning, statistical modeling, data visualization
Work EnvironmentData analysis teams, reporting, dashboardsResearch, model development, advanced analytics
CertificationsPython certifications, data analysis coursesData science certifications, machine learning courses

Night Shift Python Data Analysts focus on data cleaning, reporting, and visualization using Python, working mainly with structured data. Night Shift Data Scientists perform advanced statistical modeling and machine learning to generate predictive insights. While both roles require Python skills, Data Scientists typically need additional expertise in R and machine learning. The roles often overlap in industries like finance, healthcare, and tech, but Data Scientists engage in more complex analysis and model development.

People Data & Insights Analyst

Desert Financial Credit Union

Phoenix, AZ • On-site

Full-time

Re-posted 18 days ago


Desert Financial Credit Union rating

7.5

Company rating: 7.5 out of 10

Based on 13 frontline employees who took The Breakroom Quiz


Job description

Job Summary:
Desert Financial Credit Union is seeking a People Data & Insights Analyst to serve as a strategic link between workforce data and business decisions. The role involves designing analytics solutions that improve talent acquisition, retention, and organizational effectiveness while collaborating with various HR functions to translate data into actionable insights.
Responsibilities:
• Build, maintain, and evolve recurring and ad hoc HR reports, dashboards, and scorecards using tools such as Power BI, Tableau, or Looker.
• Conduct deep-dive analyses on HR metrics such as headcount, attrition, time-to-fill, engagement scores, compensation equity, and workforce planning.
• Translate findings into executive-ready presentations and support HR leadership in recommending data-driven people strategies.
• Develop predictive models to identify attrition risk, recruiting efficiency, workforce planning and demand forecasting, performance factors, and employee engagement and sentiment.
• Collaborate cross-functionally with HR Leadership, Finance, Legal, and IT on workforce planning and compliance reporting.
• Support the execution of HR Operations projects — including system implementations, process redesigns, and compliance initiatives — ensuring clear timelines, stakeholder alignment, and on-time delivery.
• Develop and maintain project plans, status reports, and risk logs; proactively communicate progress and blockers to the Manager, HR Operations.
• Coordinate cross-functional project teams, manage dependencies, and drive accountability across workstreams.
• Partner with HRIS teams to ensure data integrity across all HR systems.
• Lead data governance efforts and establish best practices for HR data management and documentation.
• Mentor HR analysts and Data Specialists and support the development of team capabilities.
Qualifications:
Required:
• Bachelors Degree in Data Analytics, Statistics, Business Analytics, Industrial/Organizational Psychology, Human Resources or a related field required.
• 5+ years of experience in HR analytics, people analytics, or a related data role required.
• Experience working with HRIS platforms such as UKG, Workday, SAP SuccessFactors, or ADP required.
• Demonstrated experience managing projects within an HR or People Operations environment, including scoping, planning, and stakeholder communication required.
• Data Visualization & Business Intelligence Tools — Demonstrated proficiency building and maintaining dashboards, scorecards, and reports in Power BI, Tableau, or Looker required.
• People Analytics & Statistical Modeling — Ability to conduct rigorous workforce analyses (attrition, time-to-fill, compensation equity, engagement) and build predictive models that forecast attrition risk, hiring efficiency, and workforce demand using tools such as SQL and a statistical language such as Python or R required.
• Data Storytelling & Executive Communication — Ability to translate complex datasets into clear narratives, executive-ready presentations, and actionable recommendations. Strong communication skills — able to manage multiple priorities and present complex data clearly to non-technical stakeholders required.
• HRIS & Data Governance — Working knowledge of HRIS platforms (UKG or similar) and the ability to ensure data integrity, establish data management best practices, and lead governance efforts required.
• Solid understanding of core HR metrics, workforce planning concepts, and employment law fundamentals required.
• High degree of discretion and experience handling sensitive employee data required.
Preferred:
• Master's Degree in Data Analytics, Statistics, Business Analytics, Human Resources, Industrial/Organizational Psychology, Economics, Finance, Information Systems, or a related field preferred.
• Demonstrated expertise supporting projects within an HR or People Operations environment, including scoping, planning, and stakeholder communication preferred.
• Familiarity with survey analytics platforms (Glint, Qualtrics, Culture Amp preferred.
• HRIP certification. Or SHRMCP, PHR preferred.
• Project Management certification (PMP, CAPM, or equivalent) or formal training in Agile/Scrum methodologies preferred.
Company:
Desert Financial Credit Union is a credit union that offers financial solutions to members. Founded in 1939, the company is headquartered in Phoenix, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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