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Development Data Analyst Jobs (NOW HIRING)

Support enhancement of the hazard analysis with internal and external tools and data systems ... Exposure to product development, manufacturing, and/or supply quality is also desirable (5+ years)

Senior Data Analyst and Engineer Lakewood, CO The contractor team will bring senior-level knowledge of data development and data systems engineering. A Data Analyst/Engineer, or Data Systems Engineer ...

Data Analyst

Alpharetta, GA ยท On-site +1

Data analyst responsibilities include conducting a full lifecycle analysis to include requirements ... development, data mining and segmentation techniques โ€ข Strong knowledge of and experience with ...

Business Analysis * Tableau * SQL Schedule : Fully onsite 9am-5pm Skills and Qualifications ... Technical expertise regarding data models, database design development, data mining and ...

Technical expertise regarding data models, database design development, data mining and segmentation techniques * Strong analytical skills with the ability to collect, organize, and disseminate ...

Our specialties include cybersecurity, cloud modernization, software development, data analytics, enterprise architecture, enterprise IT, analytics, process automation, and artificial intelligence.

Our specialties include cybersecurity, cloud modernization, software development, data analytics, enterprise architecture, enterprise IT, analytics, process automation, and artificial intelligence.

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Development Data Analyst information

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$34K

$82.6K

$136K

How much do development data analyst jobs pay per year?

As of Jun 21, 2026, the average yearly pay for development 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 does a Development Data Analyst do?

A Development Data Analyst is responsible for collecting, analyzing, and interpreting data to support an organization's fundraising and development strategies. They work closely with development teams to assess donor trends, track campaign performance, and generate reports that inform decision-making. Their work helps organizations identify potential donors, optimize fundraising efforts, and measure the effectiveness of various development initiatives.

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

To thrive as a Development Data Analyst, you need strong analytical abilities, data management expertise, and a solid understanding of statistics, typically backed by a degree in data science, statistics, or a related field. Proficiency with data analysis tools such as SQL, Python, R, and visualization platforms like Tableau or Power BI is commonly required, along with knowledge of donor management systems or CRMs. Exceptional attention to detail, problem-solving skills, and effective communication are vital soft skills for translating data insights into actionable recommendations. These skills and qualities are crucial for driving data-informed decision-making and maximizing the impact of development initiatives.

How does a Development Data Analyst typically collaborate with fundraising and program teams within a nonprofit organization?

A Development Data Analyst frequently works closely with fundraising and program teams to provide actionable insights from donor and program data. They support fundraising campaigns by analyzing giving patterns, donor retention, and engagement metrics, enabling fundraisers to target efforts effectively. Collaboration often involves regular meetings to share findings, discuss data-driven strategies, and refine reporting tools, ensuring all teams have the information needed to make informed decisions. This cross-functional teamwork is essential for aligning fundraising goals with program outcomes and organizational strategy.

What is the difference between Development Data Analyst vs Data Analyst?

AspectDevelopment Data AnalystData Analyst
Required CredentialsBachelor's in Data Science, Analytics, or related field; experience with development projectsBachelor's in Statistics, Mathematics, or related field; proficiency in data analysis tools
Work EnvironmentDevelopment teams, project-based settings, tech companiesBusiness environments, various industries, reporting and insights roles
Employer & Industry UsageTech firms, software development, startupsFinance, healthcare, marketing, and other sectors

The Development Data Analyst focuses on analyzing data related to software development and project progress, often working closely with development teams. In contrast, a Data Analyst generally handles broader data analysis tasks across various industries. While both roles require strong analytical skills and similar educational backgrounds, their work environments and specific focus areas differ significantly.

More about Development Data Analyst jobs
What cities are hiring for Development Data Analyst jobs? Cities with the most Development Data Analyst job openings:
Infographic showing various Development Data Analyst job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 84% Full Time, 14% Part Time, and 1% Contract. 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.
IT - App Development - Data Analyst

IT - App Development - Data Analyst

Aftermarket Auto Parts Alliance, Inc.

Little Rock, AR โ€ข On-site

Full-time

Posted 25 days ago


Job description

The Data Analyst role is to build data and reporting solutions, with a focus on SQL coding and dashboard building. An ideal candidate will be skilled in database creation and administration, ETL processes, be a strong cross-functional communicator and collaborator, and have raw analytical skills. The Data Analyst is a key contributor supporting many departments and applications. The support of this complex organization provides for a tremendous amount of challenge and variety. This job is responsible for collecting, examining, and identifying data patterns and trends that help drive actionable business insights and decision-making. This position will use a variety of development languages and environments to perform their daily duties.
Essential Duties and Responsibilities include the following. Other duties may be assigned.
  • Collecting and managing data, including exploratory data analysis (EDA).
  • Identifying trends and patterns in complex datasets.
  • Presenting findings in an easy-to-understand way to inform data-driven decisions.
  • Ability to produce dashboards, including graphs, tables, and other visualizations.
  • Manage analytics projects from start to finish (data integration, analysis, reporting).
  • Carrying out statistical research, prototyping new systems, and finding new ways of gathering, cleaning, and analyzing data.
  • Design machine learning systems and self-running AI software to automate the construction of predictive models.
  • Document machine learning processes.
  • Keep up to date with modern approaches in machine learning.
  • Actively working to identify improvements to internal processes, to improve conversions, revenue, ROI (or other relevant metrics).
  • Identify data science tool needs and build out tools to enable team as a whole.
  • Collaborate with unit managers, end users, development staff, and other stakeholders to integrate data mining applications with existing systems.
  • Provide and apply quality assurance best practices for data mining/analysis services across the organization.
  • Develop, implement, and maintain change control and testing processes for modifications to data models.
  • Monitor data mining system details within the database, including stored procedures and execution time, and implement efficiency improvements.
  • Respond to and resolve data mining performance issues.
  • Develop, code, install, test, debug, and document processes using appropriate editors.
  • Diagnose, troubleshoot, and document problems with existing ETL processes
  • On the whole, operates in a rapidly changing environment with a sense of urgency with a high level of intellectual curiosity and comfort with ambiguity.

Supervisory Responsibilities
This job has no supervisory responsibilities.
Competencies
To perform the job successfully, an individual should demonstrate the following competencies:
Analytical - Synthesizes complex or diverse information; collects and researches data.
Continuous Learning - Pursues training and development opportunities; strives to continuously build knowledge and skills; shares expertise with others.
Job Knowledge - Competent in required job skills and knowledge; exhibits ability to learn and apply new skills; keeps abreast of current developments.
Use of Technology - Demonstrates required skills; adapts to new technologies; troubleshoots technological problems; uses technology to increase productivity; keeps technical skills up to date.
Machine Learning/AI - Competent in Machine Learning and AI concepts; skilled in predictive data mining; will serve as Subject Matter Expert for department in these areas.
Problem Solving - Identifies and resolves problems in a timely manner; gathers and analyzes information skillfully; works well in group problem solving situations.
Communications - Expresses ideas and thoughts verbally; expresses ideas and thoughts in written form.
Cooperation - Offers assistance and support to co-workers; works cooperatively in group situations.
Customer Service - Responds promptly to customer needs; solicits customer feedback to improve service; responds to requests for service and assistance; meets commitments.
Planning/Organizing - Prioritizes and plans work activities; uses time efficiently.
Quantity - Meets productivity standards; completes work in timely manner.
Qualifications To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Education and/or Experience
Bachelor's degree from four-year college or university, and one to three years related experience and/or training; or equivalent combination of education and experience.
Language Skills
Ability to read, analyze, and interpret general business periodicals, professional journals, technical procedures, or governmental regulations. Ability to write reports, business correspondence, and procedure manuals. Ability to effectively present information and respond to questions from groups of managers, clients, customers, and the general public.
Mathematical Skills
Ability to work with mathematical concepts such as probability and statistical inference, and fundamentals of plane and solid geometry and trigonometry. Ability to apply concepts such as fractions, percentages, ratios, and proportions to practical situations.
Reasoning Ability
Ability to define problems, collect data, establish facts, and draw valid conclusions. Ability to interpret an extensive variety of technical instructions in mathematical or diagram form and deal with several abstract and concrete variables.
Computer Skills
To perform this job successfully, an individual should have hands on experience with MS Access and knowledge of ODBC, JCDB, JSON, XML, linked servers, and data replication. Experience with MS SQL Server Management Studio, PostGreSQL, FireBird, Unidata databases is helpful. Proficiency with SSIS, SSRS, and other automation tools for ETL processing is required. Prior exposure to multiple programming languages - Python, Java, Visual Basic, C++, C#, R is also helpful. Demonstrable knowledge of Dashboard creation.
Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
While performing the duties of this Job, the employee is regularly required to sit; use hands to finger, handle, or feel; reach with hands and arms and talk or hear. The employee is occasionally required to stand and walk. The employee must regularly lift and/or move up to 10 pounds and occasionally lift and/or move up to 25 pounds.
Work Environment The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
While performing the duties of this Job, the employee is occasionally exposed to moving mechanical parts. The noise level in the work environment is usually moderate.
Employment at Replacement Parts, Inc. is subject to post offer, pre-employment drug testing. Equal Opportunity Employer. Replacement Parts, Inc. is a drug-free workplace.