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Christian Organization Data Analytics Jobs (NOW HIRING)

Prologis

Program Director, Data & Analytics

Denver, CO · On-site +1

Prologis A day in the life As Program Director of Data & Analytics, you will help the organization turn data into action in an AI-first world. You will connect strategy to execution across Data ...

Prologis

Program Director, Data & Analytics

Dallas, TX · On-site +1

Prologis A day in the life As Program Director of Data & Analytics, you will help the organization turn data into action in an AI-first world. You will connect strategy to execution across Data ...

Subaru

Data Analytics Developer

Lafayette, IN · On-site

Data Analytics Developer Information Technology Department Position Summary: Data Analytics ... organizational change management procedures * Design, create, and maintain data warehouses, data ...

TECO

Data Analytics Architect

Tampa, FL

Responsibility for ensuring that the organizations analytic data architecture effectively enables needed applications and develops standards in the areas of data modeling, metadata management, data ...

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Christian Organization Data Analytics information

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How much do christian organization data analytics jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for christian organization data analytics in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.

What key skills and qualifications are needed to thrive as a Data Analyst in a Christian organization, and why are they important?

To thrive as a Data Analyst in a Christian organization, you need strong analytical skills, a background in statistics or data science, and familiarity with nonprofit sector dynamics. Proficiency in data analytics tools such as Excel, SQL, Tableau, and sometimes nonprofit-focused CRM systems like Salesforce Nonprofit Success Pack is important. Strong communication, integrity, and a mission-driven mindset help you interpret data effectively and align insights with organizational goals. These skills ensure data-driven decision-making that supports the organization's mission, transparency, and impact.

What is the difference between Christian Organization Data Analytics vs Christian Nonprofit Data Specialist?

AspectChristian Organization Data AnalyticsChristian Nonprofit Data Specialist
Required CredentialsBachelor's in Data Science, Analytics, or related field; experience with data toolsBachelor's in Nonprofit Management, Data, or related; familiarity with nonprofit data systems
Work EnvironmentData analysis teams within Christian organizations, offices, or remoteNonprofit organizations, churches, or faith-based community projects
Employer & Industry UsageChristian organizations focusing on data-driven decision makingFaith-based nonprofits managing donor data, program metrics
Common Search & ComparisonData analytics roles in Christian settingsNonprofit data roles in Christian organizations

Christian Organization Data Analytics focuses on analyzing data to improve organizational outcomes using advanced data tools. In contrast, Christian Nonprofit Data Specialists typically handle data management and reporting within nonprofit settings. Both roles serve faith-based organizations but differ in technical complexity and focus areas.

How does a data analytics professional collaborate with different departments in a Christian organization?

In a Christian organization, data analytics professionals often work closely with departments such as fundraising, outreach, and program management to identify trends, measure impact, and inform decision-making. Collaboration typically involves gathering data requirements, creating reports, and presenting insights that help various teams achieve their ministry goals. Effective communication and understanding of the organization's mission are essential, as analysts translate complex data into actionable recommendations that align with faith-based objectives.

What is a Christian Organization Data Analytics professional?

A Christian Organization Data Analytics professional is someone who collects, analyzes, and interprets data to help Christian organizations make informed decisions. Their work involves tracking key metrics such as donations, membership growth, event attendance, and outreach effectiveness. By leveraging data analysis, they support the organization's mission by identifying trends, optimizing resource allocation, and measuring the impact of programs. This role often requires strong analytical skills and an understanding of both data tools and the unique goals of faith-based organizations.
More about Christian Organization Data Analytics jobs
What cities are hiring for Christian Organization Data Analytics jobs? Cities with the most Christian Organization Data Analytics job openings:
What states have the most Christian Organization Data Analytics jobs? States with the most job openings for Christian Organization Data Analytics jobs include:
What job categories do people searching Christian Organization Data Analytics jobs look for? The top searched job categories for Christian Organization Data Analytics jobs are:
Christian Organization Data Analytics jobs near you
Infographic showing various Christian Organization Data Analytics job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.
Data & Analytics Lead Architech

Data & Analytics Lead Architech

Berkshire Health Systems

Pittsfield, MA • On-site

$39.69/hr

Full-time

Posted 4 days ago

Berkshire Health Systems rating

8.1

Company rating: 8.1 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

Job description

  • JOB SUMMARY
    •  

    • The Data & Analytics Architect is responsible for defining and managing the enterprise data architecture that enables scalable analytics, reporting, and AI across the organization. This role ensures our data ecosystem is integrated, governed, and aligned to business priorities, while supporting a federated (hub-and-spoke) operating model.

      This person partners closely with IT, clinical, operational, and finance leaders to translate business needs into a modern, sustainable data platform.

  • JOB REQUIREMENTS
    • Experience:
        • Proven experience as a Data Architect or similar role with extensive knowledge of NoSQL, SQL, Hadoop, Spark, Oracle, Microsoft SQL Server, and Microsoft Fabric Data Lake
        • Experience in healthcare strongly preferred (EHR, claims, revenue cycle, etc.).
        • Strong expertise in data modeling, database design, ETL processes, and data warehouse architecture.
        • Direct experience working with cloud platforms such as AWS and Azure for deploying scalable data solutions.
        • Experience working within Agile development environments with a focus on analytics projects involving large datasets (Big Data) and distributed computing frameworks like Hadoop.
    • Education:
        • Bachelor’s degree in computer science, data science, engineering, or related field.
    • Licensure & Certifications:
        • None.
  • SKILLS & ABILITIES
      • Familiarity with programming languages including Java, Python, and scripting with Bash (Unix shell)*
      • Knowledge of linked data concepts and experience integrating diverse datasets for advanced analytics applications is a plus.
      • This position offers an engaging environment where innovative thinking is valued, and the successful candidate will play a pivotal role in shaping our organization’s data strategy through advanced architecture solutions.
      • Familiarity with governance frameworks and federated data models.
      • Ability to translate business strategy into technical architecture.
      • Ability to guide solution design and architecture to meet business needs.
      • Strong stakeholder engagement (can work across clinical, operational, and IT teams).
      • Systems thinker—can connect data, workflows, and outcomes.
      • Pragmatic decision-maker (not over-engineering solutions).
  • WORKING RELATIONSHIPS
    • Title of position(s) supervised:
      • N/A.

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