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Development Data Analyst Jobs (NOW HIRING)

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Engineer data solutions through prototyping, proof-of-concept development, testing, and full production implementation. * Analyze and support Extraction, Transformation, and Load (ETL) processes and ...

Data visualization and interface/ manipulation development * Analytics platform enhancements and toolset evaluations * Troubleshooting and audit trail development Requirements You will thrive if you:

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Senior Healthcare Data Analyst - Remote

Centre, AL · Remote

$81K - $102K/yr

Overview The Healthcare Data Analyst Senior provides data analysis support to the customer by assisting with the development of reports and/or dashboards to monitor program and operational ...

Our Senior Technical Data Analysts II are responsible for leading our clients to successful outcomes with technical data development, conversion, and sustainment projects. Pentecom is especially ...

Data Analyst

Lake Forest, IL · On-site

$30 - $35/hr

Data Analyst / Report Developer Lake Forest, IL Hybrid role (Onsite 3x/week) $30-$35 per hour ABOUT ... Gain exposure to label systems, application development environments, and GS1 barcode data ...

Support the development and sustainment of an Advana dashboard integrating data across multiple ... Ability to present analytical findings in a clear, concise, and executive-level format to senior ...

OR

$67K - $89K/yr

This individual will be responsible for analyzing, enriching, and ensuring the quality of content data through complex SQL development, data validation, and analytics reporting. Reporting to the ...

Senior Data Analyst

Reston, VA · Hybrid

$89K - $112K/yr

The successful candidate will work closely with business stakeholders, development teams, and QA ... CGI is seeking an experienced Senior Data Analyst to support large-scale data initiatives within a ...

Data Architect

Columbia, SC

$59 - $75.75/hr

Proven working experience as a data analyst or business data analyst Technical expertise regarding data models, database design development, data mining and segmentation techniques Strong knowledge ...

We are seeking a highly analytical and business-focused Senior Data Analyst with expertise in Domo ... KPI Development * Dashboard Design * Data Governance * Business Intelligence Soft Skills:

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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.

Data Analyst - Machine Learning

Equation Staffing

Manhattan, NY

Full-time

Posted 18 days ago


Job description

Does getting in on the ground floor as an initial stakeholder, and building a solution that has never been built before, get you excited? Do you want to be the person, when people are talking about some awesome innovation in awe, to be able to proudly say you were instrumental in building it? If so then this could be an exciting opportunity for you.

My client partners with companies ranging from fortune 500 to start-ups across all industries to solve their most complicated problems. The main one, most are wrestling with is how to use data and research for their decisions. With this hole in the market in mind, they have recently brought over one of the brightest minds from the AI/Machine learning world to build a product that doesn’t exist at this moment. It is tremendously ambitious goal, and they need a special team to do it. They are constructing its own floor, in their current space, and it is just at the start of this exciting journey. They are building a tool that can automate and replace the hundreds of thousands, to millions of dollars, that companies are spending in data science. This tool will greatly cut down on in some cases eliminate the need for companies to pour over data researching to find trends, it will do it for them, basically personalization for B2B.

The need role is for a data-savvy individual to join the Data Science team as the first Data Analyst, on the team. This person will create consumer-focused research content and support user-centric product development and growth based on real-time feed of data sets and data points. Our ideal candidate is a sharp, thoughtful problem solver, who enjoys identifying key business levers and challenges, and then building analytical frameworks with under to impact strategic decision making.

Will use big data and machine learning to help clients make decisions in a completely unprecedented way. The responsibility of the Data Analyst will be to decipher the data to find the insights and patterns that matter the most.


KEY RESPONSIBILITIES

· Interpret data, analyze results using statistical techniques and provide ongoing reports

· Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality

· Acquire data from primary or secondary data sources and maintain databases/data systems by working with the data procurement team

· Identify, analyze, and interpret trends or patterns in complex data sets

· Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems

· Write SQL/Hive/Spark queries to extract necessary data and present the information in a data visualization platform such as Tableau. Datorama, DOMO or similar to generate business insights.

· Proactively perform data exploration on user behavior to discover future testing opportunities.

· Work collaboratively with a cross-functional team (Product, Marketing & Engineering) to solve complex business/product/marketing problems.

· Create and manage business/operational dashboards to monitor business line performance.


QUALIFICATIONS

· Proven working experience as a data analyst or business data analyst

· Technical expertise regarding data models, database design development, data mining and segmentation techniques

· Strong knowledge of and experience with reporting packages (Business Objects etc.), databases (SQL etc), programming (XML, Javascript, or ETL frameworks)

· Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)

· BS in Mathematics, Economics, Computer Science, Information Management or Statistics

· Bachelor’s degree in a quantitative field

· You have extensive experience using SQL and Tableau, Looker or similar is a Plus.

· You understand experimentation, hypothesis testing, and causal inference

· Experience in Deep Learning and Machine Learning algorithms is a plus


It is a truly unique work environment, where they are allowing the right candidate to be part of the creative, as well as the execution of the idea. The company empowers their employees, by choosing the right people, letting them use their unique skills, and giving them every resource, and power to make decisions. Truly a great opportunity to get in at ground floor and make a huge impact on tremendous team!


Salary based on experience