1

Data Analytics Developer Jobs (NOW HIRING)

... data capture and analytic capabilities to create a competitive advantage Qualifications Analytics Developer Requirements โ€ข You will need to have worked with web analytics infrastructure, data ...

Company Description Analytics Developer Summary Work for a globally recognized retail company that ... You will serve as the web data steward responsible for maintaining data and tagging accuracy You ...

Data/Analytics Engineer

Westminster, CO ยท On-site

$122K - $168K/yr

Data/Analytics Engineer Job Location: Westminster CO, or Christchurch NZ Our Department: Field Systems Data/Analytics Engineer - Customer 360 Data Pipelines About the Team: The Field Systems Data ...

Data Analytics Engineer

Glen Allen, VA ยท On-site

$106K - $127K/yr

Execute the analytics engineering roadmap by identifying the highest-leverage data opportunities and delivering the models and datasets needed to support them * Design and build a single source of ...

Data Analytics Engineer

Glen Allen, VA ยท On-site

$180K - $200K/yr

Execute the analytics engineering roadmap by identifying the highest-leverage data opportunities and delivering the models and datasets needed to support them * Design and build a single source of ...

The Analytics Developer is responsible for coding and designing analytical solutions that turn data ... Perform source data analysis - data profiling, validation, conceptual and logical data modeling ...

The Analytics Developer is responsible for coding and designing analytical solutions that turn data ... Perform source data analysis - data profiling, validation, conceptual and logical data modeling ...

next page

Showing results 1-20

Data Analytics Developer information

See salary details

$24

$54

$94

How much do data analytics developer jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for data analytics developer 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 is the difference between Data Analytics Developer vs Data Analyst?

AspectData Analytics DeveloperData Analyst
Required SkillsSQL, programming, data modeling, visualization toolsExcel, SQL, basic statistics, visualization
CertificationsData analytics, programming certificationsExcel, Tableau, Power BI certifications
Work EnvironmentDevelops data tools, pipelines, and dashboardsAnalyzes data, creates reports, interprets findings
Industry UsageTech, finance, healthcare, where data tools are neededBusiness, marketing, finance, where insights are required

While both roles work with data, Data Analytics Developers focus on building data systems and tools, whereas Data Analysts interpret data to provide insights. The roles often overlap but differ mainly in technical development versus analysis and reporting.

What are some common challenges Data Analytics Developers face when integrating new data sources into existing analytics platforms?

Data Analytics Developers often encounter challenges such as data inconsistency, varying data formats, and incomplete documentation when integrating new sources. Ensuring data quality and compatibility with existing pipelines requires close coordination with data engineers and source system owners. Additionally, they must balance the need for rapid integration with maintaining data security and compliance standards. Overcoming these challenges typically involves thorough data profiling, robust ETL processes, and proactive communication across teams.

What does a Data Analytics Developer do?

A Data Analytics Developer is responsible for designing, developing, and implementing data analysis tools and solutions. They work with large datasets to extract insights, create data models, and build dashboards or reports that help organizations make data-driven decisions. Their role often involves collaborating with data scientists, business analysts, and IT teams to ensure data accuracy, performance, and security. They typically use programming languages like Python or SQL and may work with business intelligence platforms such as Tableau or Power BI.

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

To thrive as a Data Analytics Developer, you need strong analytical skills, proficiency in programming languages like Python or R, and a solid background in statistics or mathematics, typically supported by a relevant degree. Experience with data visualization tools (such as Tableau or Power BI), SQL, and cloud-based analytics platforms, as well as certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate, are highly beneficial. Excellent problem-solving abilities, attention to detail, and effective communication skills set top performers apart in this field. These skills ensure accurate data analysis, actionable insights, and successful collaboration with stakeholders to drive data-informed decision-making.
What cities are hiring for Data Analytics Developer jobs? Cities with the most Data Analytics Developer job openings:
Who are the top companies hiring for Data Analytics Developer jobs? The top employers for Data Analytics Developer jobs are:
What states have the most Data Analytics Developer jobs? States with the most job openings for Data Analytics Developer jobs include:
What are popular job titles related to Data Analytics Developer jobs? For Data Analytics Developer jobs, the most frequently searched job titles are:
Infographic showing various Data Analytics Developer job openings in the United States as of June 2026, with employment types broken down into 81% Full Time, 9% Part Time, 6% Contract, and 4% Nights. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.

Analytics Data Developer - Strategic Analytics

Accuity

Sheboygan, WI โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Job description

Acuity is seeking an Analytics Data Developer to be responsible for designing, building, and optimizing Acuity's Strategic Analytics Team's data pipelines and data marts to enable efficient and scalable analytical workflows. This role plays a critical part in ensuring that high-quality, trusted data is readily available to drive insight generation, predictive modeling, and data-driven decision-making across the enterprise. The Analytics Data Developer will support our data scientists, analytics product managers, insight analysts, and reporting analysts by developing robust data ingestion, transformation, and enrichment processes. They will ensure the reliability, performance, and integrity of the data ecosystem while maintaining strong data governance and comprehensive documentation.
Internal deadline to apply: December 22nd, 2025
ESSENTIAL FUNCTIONS:
  • Design, build, and optimize scalable and maintainable data pipelines and data marts to support analytics and reporting needs.
  • Perform data ingestion, transformation, and enrichment from various structured and unstructured data sources.
  • Monitor, troubleshoot, and optimize pipelines to ensure data quality, reliability, and performance.
  • Maintain strong data governance by adhering to established standards for data quality, lineage, security, and documentation.
  • Collaborate closely with data scientists, analysts, engineers, and business partners to translate analytic requirements into efficient data solutions.
  • Contribute to continuous improvement efforts through automation, performance tuning, and best practice adoption in data development.
  • Support data platform modernization efforts by integrating new technologies and approaches that enhance analytical capability.
  • Excellent teamwork, coordination, influence and communication skills.
  • Ability to develop timely and effective solutions for challenging design problems.
  • Establishes relationships with data owners, experts and SMEs across a wide variety of Acuity data domains.
  • Work closely with data scientists and analysts to develop and build analytical products.
  • Acquire, analyze, combine, synthesize, and store data from a wide range of internal and external sources as it pertains to model development.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Partner with business and technical leaders to prioritize data needs to expand Acuity's analytical data universe.
  • Develops and supports monitoring solutions for the ML system and components.

EDUCATION:
Bachelor's degree in computer science, MIS, Data Engineering, Business or related field.
EXPERIENCE:
3+ years of experience developing data pipelines, data marts, or ETL/ELT workflows in a modern data environment. Proficiency in SQL and at least one programming language such as Python, Scala, or Java.
OTHER QUALIFICATIONS:
  • Demonstrated experience designing and implementing Medallion Architecture (Bronze-Silver-Gold layers) in a cloud or distributed data environment.
  • Experience with modern data warehousing and processing platforms (e.g., Snowflake, Databricks, Azure Synapse, or similar).
  • Familiarity with data governance, metadata management, and version control best practices.
  • Strong problem-solving skills, attention to detail, and ability to operate independently in a fast-paced, collaborative environment.
  • Excellent communication and interpersonal skills with a demonstrated ability to work effectively with both technical and non-technical stakeholders.
  • Experience with big data tools: Hadoop, Spark, Kafka, etc.
  • Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

*Acuity does not sponsor applicants for U.S. work authorization.*
This job is classified as exempt.
For this role, Acuity offers a comprehensive benefits package, including a generous 401(k) contribution, medical, dental, vision, life and disability insurance, paid time off, an Employee Assistance Program, and more. A full description of benefits and eligibility will be provided to candidates during the hiring process.
We are an Equal Employment Opportunity employer. Applicants and employees are considered for positions and are evaluated without regard to mental or physical disability, race, color, religion, gender, national origin, age, genetic information, military or veteran status, sexual orientation, marital status or any other protected Federal, State/Province or Local status unrelated to the performance of the work involved.
Acuity will include at least one in-person interview during the hiring process for all positions.
If you have a disability and require reasonable accommodations to apply or during the interview process, including for in-person interviews, please contact our Talent Acquisition team at careers@acuity.com. Acuity is dedicated to offering reasonable accommodations during our recruitment process for qualified individuals.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.