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Data Analyst Programmer Jobs (NOW HIRING)

Staff Data Analyst

$145K - $155K/yr

Partner with data engineering, product and business partner teams to define, design, analyze, and report on key drivers that impact performance across the organization. * Identify and communicate the ...

Job Title DATA ENGINEER/DATA ANALYST Location Huntsville, AL US (Primary) Category Engineering Job Type Full-Time Career Level Experienced (Non-Manager) Education High School / GED Security Clearance ...

Data Analyst

Chicago, IL

$120K - $170K/yr

This role bridges Finance, Accounting, and Engineering, ensuring that the data powering our ... Analytics Support for FP&A and Accounting * Create data assets enabling self-service dashboards and ...

Data Analyst / Engineer Location: Raymond, OH (Hybrid 4 days/week onsite and 1 day/week remote) Contract Duration: 14+ months Rate: $57/hr on W2 What will this person be working on In this role ...

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Senior Computer Systems Analyst Programmer Job ID: 26-02984 Location: Oakland, CA Duration: 06 ... Power BI (Data Modeling & Report Development) * Azure Services * Strong SQL and Data Modeling ...

Working with the business and manufacturing teams to develop meaningful data analytics from ... Consults with the requester regarding analytical/programming requirements, determine the ...

... in data analysis, predictive analytics, and systems engineering to solve complex Homeland ... Bachelor's degree in a technical discipline (e.g., Physics, Mathematics, Applied Math, Engineering ...

Our global team is a diverse group of experienced engineers, traders, and brokerage professionals ... Your Role: We're looking for a Data Analyst to help make Alpaca data-driven from the ground up. You ...

... in data analysis, predictive analytics, and systems engineering to solve complex Homeland ... Bachelor's degree in a technical discipline (e.g., Physics, Mathematics, Applied Math, Engineering ...

Collaborate with analysts, developers, and business teams Qualifications: * Bachelor s or Master s degree in Computer Science, Information Systems, IT, Data Analytics, Business Analytics, Statistics ...

Utilize strong Microsoft Excel, SQL, and other programming language skills to provide high-quality data analysis and support to clients, internal stakeholders, and select media outlets * Serve as ...

... in data analysis, predictive analytics, and systems engineering to solve complex Homeland ... Bachelor's degree in a technical discipline (e.g., Physics, Mathematics, Applied Math, Engineering ...

Support ETL processes and collaborate with developers and stakeholders to ensure solutions align with business needs and are feasible * Perform data validation, testing, and root cause analysis to ...

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Data Analyst Programmer information

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$82

How much do data analyst programmer jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for data analyst programmer in the United States is $45.64, according to ZipRecruiter salary data. Most workers in this role earn between $35.58 and $51.92 per hour, depending on experience, location, and employer.

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

To thrive as a Data Analyst Programmer, you need strong analytical skills, proficiency in programming languages like SQL and Python, and a solid understanding of statistics and data modeling, often backed by a degree in computer science, statistics, or a related field. Familiarity with data visualization tools (e.g., Tableau, Power BI), database management systems, and version control platforms is typically required. Standout professionals also possess problem-solving abilities, attention to detail, and effective communication skills for translating data insights to stakeholders. These skills ensure accurate data analysis, efficient programming solutions, and impactful business decision-making.

How do Data Analyst Programmers typically collaborate with other teams within an organization?

Data Analyst Programmers often work closely with a variety of teams, including business analysts, data engineers, and management. They translate business requirements into technical solutions by developing data models, building queries, and generating reports. Regular communication with stakeholders ensures data insights are actionable and aligned with organizational goals. Collaboration is usually facilitated through agile methodologies, cross-functional meetings, and shared project management tools, making teamwork and adaptability essential for success in this role.

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

AspectData Analyst ProgrammerData Analyst
Required SkillsData analysis, programming, SQL, scriptingData analysis, Excel, visualization tools
Work EnvironmentData processing, coding, software developmentData interpretation, reporting, dashboards
Common CertificationsSQL, Python, R certificationsExcel, Tableau, Power BI certifications
Industry UsageTech, finance, healthcare with coding needsBusiness, marketing, finance for reporting

While both roles involve working with data, a Data Analyst Programmer combines data analysis with programming skills to develop data solutions, whereas a Data Analyst primarily focuses on interpreting data and creating reports. The former often requires coding expertise, while the latter emphasizes data visualization and business insights.

What does a data analyst developer do?

A data analyst developer combines skills in data analysis and programming to design, develop, and maintain data systems and tools. They often work with programming languages like Python or SQL, create data visualizations, and automate data processing tasks to support business decision-making.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analyst programmers are essential for interpreting complex data, developing models, and making strategic decisions. Their skills in understanding business context, programming, and data visualization remain critical, even as AI advances. Continuous learning and expertise in tools like SQL, Python, or R help data analysts stay valuable in an evolving environment.

Is a data analyst a programmer?

A data analyst is primarily responsible for interpreting data, creating reports, and providing insights, and they often use programming languages like SQL, Python, or R to manipulate and analyze data. While programming skills are important, data analysts focus more on data interpretation and visualization rather than software development. Programming is a tool they use to perform their analysis efficiently.

What are Data Analyst Programmers?

Data Analyst Programmers are professionals who combine skills in data analysis and programming to extract, interpret, and visualize data insights. They use programming languages such as Python, R, or SQL to clean, manipulate, and analyze large datasets. Their work helps organizations make data-driven decisions by transforming raw data into actionable information, creating reports, and developing automated solutions for data processing. Data Analyst Programmers often collaborate with other departments to identify business needs and design data models or dashboards that support organizational goals.

Is 40 too late for data science?

A Data Analyst Programmer can transition into data science at any age, including 40, as the field values skills like programming, statistics, and data visualization. Gaining relevant knowledge through online courses, certifications, and practical experience can facilitate this career shift regardless of age.
More about Data Analyst Programmer jobs
What are popular job titles related to Data Analyst Programmer jobs? For Data Analyst Programmer jobs, the most frequently searched job titles are:
Infographic showing various Data Analyst Programmer job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $94,931 per year, or $45.6 per hour.
Staff Data Analyst

$145K - $155K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 9 days ago


Job description

Mission Lane is combining the power of data, technology, and exceptional service to pave a clear way forward for millions of people on the path to financial success. By attracting top talent and leveraging cutting-edge technology, we're enabling people to unlock real financial progress. Sound like a mission you can get behind?
About the Role
Mission Lane is seeking a Staff Data Analyst to drive our push toward best in class data usage via analytical engineering, business intelligence and data analysis. This role is critical in our mission to empower our customers through the development and delivery of advanced, enterprise-wide data solutions and products. You will act as a strategic consultant to cross-functional stakeholders, accelerate complex data initiatives to completion, and champion a robust, automated data architecture that scales to support our long term goals.
Our core tech stack includes: Snowflake / dbt / Tableau / Monte Carlo / Airflow / Github
The impact you will make:
  • Architect and maintain high-fidelity, scalable data models that serve as the foundational truth for both enterprise business intelligence and GenAI applications.
  • Partner with data engineering, product and business partner teams to define, design, analyze, and report on key drivers that impact performance across the organization.
  • Identify and communicate the business relevance of data from across the organization, leveraging analytical rigor to establish reliable sources of truth and ensure that business context is accurately captured across all data products.
  • Partner with the larger Data organization to design easy-to-use, end-to-end enterprise data systems that keep Mission Lane at the forefront of data -based decision-making.
  • Own the development of self-serve analytics and strategic data products that look beyond the immediate stakeholder requests to proactively reduce manual effort, mitigate technical debt, and accelerate speed to insight.
  • Define and champion technical standards for analytics engineering to elevate the quality, reliability, and impact of work produced by the broader analytics team.

You will thrive in this role if you have:
  • 5+ years of data analytics experience in roles focused on leveraging data to drive strategic decision making.
  • Expert level SQL and Snowflake skills in architecting and optimizing complex transformations of large datasets.
  • Experience using dbt to develop and orchestrate analytical data models following best practices.
  • Experience implementing data management best practices to build scalable data products and self-service data solutions, including traditional BI tools (Tableau, Power BI, etc.) and custom applications (like Streamlit).
  • Hands-on experience utilizing Generative AI to streamline and automate business and data delivery processes.
  • Experience designing and implementing strategies that enable comprehensive and scalable data integrity monitoring across multiple domains.
  • Worked directly and effectively with business leaders to define and influence how data can strategically enable their goals.
  • The ability to independently manage projects across multiple stakeholders, prioritize vigilantly, and proactively identify, communicate, and mitigate roadblocks.
  • A proactive growth mindset characterized by curiosity and a commitment to continuous improvement and professional development.
  • Provided leadership and mentorship to analytics engineers and data analysts, effectively up-skilling the team on core competencies and technologies.

You get bonus points for:
  • Previous experiences with financial services and/or credit bureau data.
  • Experience implementing data strategy and data governance best practices.

At Mission Lane, we're looking for people who have the courage to take on new challenges. If you need accommodations to perform at your highest potential throughout the application and/or interview process, don't hesitate to reach out.
We're committed to ensuring our team members have balance in their lives. Our comprehensive benefits package provides the support you need to thrive at work and at home.
  • Work: An engaging culture with access to training programs and advancement opportunities.
  • Life: Full health, dental, and vision benefits, Flexible Spending Account (for medical and childcare expenses), paid parental leave, and a 401k Company Match.
  • Balance: Generous PTO, flexible schedules, a Calm App subscription, and more.

Compensation USD
Target starting base salary: $145,000 - $155,000
Additional compensation in the form(s) of participation in our annual incentive program and equity are available for this role. Pay is based on factors such as work experience, education, certification(s), training, skills, and competencies related to the role. Mission Lane also offers a comprehensive benefits plan, which includes paid time off, 401(k) match, a monthly wellness stipend, health/ dental/ vision insurance options, disability coverage, paid parental leave, flexible spending account (for childcare and healthcare), life insurance, and a remote-friendly work environment.
About Mission Lane:
Founded in December 2018, Mission Lane is a purpose-driven fintech company based in the U.S., with headquarters in Richmond, Virginia.
It all started with a realization: nearly fifty percent of the adult population in the U.S. doesn't have access to a clear line of credit. Most traditional credit card companies either overlook or overcharge this group because they have less-than-perfect credit scores or no scores at all. We decided this just wouldn't do.
In partnership with our sponsor banks, we offer credit cards under the Mission Lane brand name, with better, clearer terms, and a more refined customer experience than the alternatives available to people working hard to improve their credit. To date, over four million consumers have chosen Mission Lane, earning high customer ratings on Credit Karma for its market segment and industry leading Net Promoter scores.
Mission Lane has cumulatively raised over $600 million of equity from leading investors, including Invus Opportunities, QED Investors, LL Funds, funds affiliated with Oaktree Capital Management, and other leading investors.
Our commitment to a workplace built on respect and dignity is guided by our core value of Unity. We believe that everyone plays a vital role in our shared purpose, and we actively cultivate an environment where all individuals have the opportunity to do their best work. By fostering a culture of empathy and collaboration, we create a strong sense of belonging and support for every team member.
Mission Lane is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, or any other protected status.
Mission Lane provides reasonable accommodations to applicants who need them for medical or religious reasons, as required by law. Applicants can initiate an accommodation request by contacting peopleexperience@missionlane.com.
Mission Lane is not sponsoring new applicant employment authorization and please, no third-party recruiters.
Application Integrity:
Our cardholders trust us with their financial well-being, and this trust starts with the integrity of the people on our team. We're looking for team members who share our dedication to transparency and truth. Please verify that the information in your application is accurate and complete.
Providing any information to Mission Lane that is not completely truthful at any point during the application or hiring process may result in removal from the hiring process, disqualification from future opportunities, withdrawal of an offer or other sanctions for candidates and, in addition for employees, disciplinary action, up to and including termination of employment.