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Analytics Developer Jobs (NOW HIRING)

AEG

Sr. Web Analytics Developer

Los Angeles, CA · On-site

The Senior Web Analytics Developer will be responsible for instrumenting web data collection, ensuring data quality, and developing insights to drive data-informed decisions across AXS' platforms.

KnitWell Group

Marketing Analytics Developer

Hingham, MA · On-site

$100K - $130K/yr

About the role As a Marketing Analytics Developer at Talbots, you'll have the opportunity to be a key partner cross functionally with several teams, working on a variety of business-critical projects ...

Knitwellgroup

Marketing Analytics Developer

Hingham, MA · On-site +1

$100K - $130K/yr

About the role As a Marketing Analytics Developer at Talbots, you'll have the opportunity to be a key partner cross functionally with several teams, working on a variety of business-critical projects ...

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How much do analytics developer jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for analytics developer in the United States is $52.26, according to ZipRecruiter salary data. Most workers in this role earn between $37.98 and $65.14 per hour, depending on experience, location, and employer.

What does a typical day look like for an Analytics Developer, and what kinds of projects might I work on?

As an Analytics Developer, your day-to-day work will often involve extracting, transforming, and analyzing large volumes of data to provide meaningful insights for business stakeholders. You may develop data pipelines, build dashboards, or create custom analytics solutions to support different departments, such as marketing, finance, or operations. Expect to collaborate frequently with data engineers, business analysts, and sometimes directly with management to clarify requirements and deliver impactful results. Projects can range from automating reports and tracking KPIs to implementing predictive models and advising on data-driven strategies.

What are the key skills and qualifications needed to thrive in the Analytics Developer position, and why are they important?

To thrive as an Analytics Developer, you need a strong background in data analysis, SQL, and programming languages like Python or R, often supported by a degree in computer science, statistics, or a related field. Familiarity with business intelligence platforms (such as Tableau or Power BI), data modeling tools, and certifications in analytics or cloud services are commonly required. Analytical thinking, attention to detail, and excellent communication skills help you translate data insights into actionable business strategies and collaborate with cross-functional teams. These abilities are vital for turning complex data sets into valuable information that drives decision-making and business growth.

What is an Analytics Developer job?

An Analytics Developer is responsible for designing, developing, and implementing data analytics solutions to help organizations make data-driven decisions. They work with large datasets, create reports, dashboards, and visualizations, and develop algorithms or scripts to automate data processing. Their role often involves using programming languages like Python, SQL, or R and working with BI tools such as Tableau or Power BI. They collaborate with data engineers, analysts, and business stakeholders to ensure data accuracy and usability.

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Analytics Developer jobs near you
Infographic showing various Analytics Developer 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 $108,693 per year, or $52.3 per hour.
Finance Analytics Developer

Finance Analytics Developer

Texas Capital Bank

Richardson, TX • On-site

Full-time

Medical, Life, Retirement, PTO

Re-posted 4 days ago

Job description

Texas Capital is built to help businesses and their leaders. Our depth of knowledge and expertise allows us to bring the best of the big firms at a scale that works for our clients, with highly experienced bankers who truly invest in people's success - today and tomorrow.
While we are rooted in core financial products, we are differentiated by our approach. Our bankers are seasoned financial experts who possess deep experience across a multitude of industries. Equally important, they bring commitment - investing the time and resources to understand our clients' immediate needs, identify market opportunities and meet long-term objectives. At Texas Capital, we do more than build business success. We build long-lasting relationships.
Texas Capital provides a variety of benefits to colleagues, including health insurance coverage, wellness program, fertility and family building aids, life and disability insurance, retirement savings plans with a generous 401K match, paid leave programs, paid holidays, and paid time off (PTO).
Headquartered in Dallas with offices in Austin, Fort Worth, Houston, Richardson, Plano and San Antonio, Texas Capital was recently named Best Regional Bank in 2024 by Bankrate and was named to The Dallas Morning News' Dallas-Fort Worth metroplex Top Workplaces 2023 and GoBankingRate's 2023 list of Best Regional Banks. For more information about joining our team, please visit us at www.texascapitalbank.com.
Overview of Position
Own analytics that directly influence Finance strategy. Partner with leaders to translate business needs into insights, and build toward AI- and advanced analytics-driven solutions that accelerate impact. You'll operate independently, collaborate as a technical peer with engineers and fellow BI analysts, and see your work drive real decisions. This role is ideal for someone with 1-3 years of experience who wants end-to-end ownership of analytical problems and brings the technical foundation and curiosity to grow in AI-powered analytics.
Responsibilities
We're building the next generation of Finance analytics, moving from static reporting to dynamic, AI-assisted insights that the CFO organization relies on daily. This role sits at that center: you'll maintain our existing financial data foundation while designing and deploying new analytics products that drive decisions on FP&A, liquidity management, and financial performance, increasingly with AI-powered workflows.
  • Write clean, well-documented SQL and Python that others can maintain and build on; learn to apply agentic AI to financial analytics workflows, automating insight generation, explaining anomalies in data, and accelerating report narratives
  • Build dashboards and data applications Finance teams actually use, and improve them based on real feedback
  • Validate data accuracy against business expectations and collaborate with data engineering and our data governance program to identify and resolve data quality issues
  • Translate analytical findings into clear narratives for Finance leadership, including the CFO and other senior stakeholders
  • Collaborate with senior analytics developers on AI integration: help design and test LLM-powered analytics workflows, learning prompt engineering, tool use, and multi-step reasoning for financial analysis
  • Proactively spot gaps in existing analytics and propose solutions, including where AI tooling could unlock new capabilities
  • Participate in code reviews and communities of practice to share learnings and contribute to the growing AI analytics practice within the organization

Required Qualifications
  • 1-3 years of hands-on experience in analytics or data science
  • Proficiency in SQL and Python; comfortable writing production-quality, version-controlled code
  • Familiarity with dimensional modeling and cloud data warehouses; Snowflake experience is a plus
  • Hands-on experience building dashboards in at least one modern BI tool (Power BI, Sigma, Looker, or similar)
  • Able to communicate technical work clearly to non-technical audiences
  • Bachelor's degree in a quantitative field (Computer Science, Data Science, Statistics, Engineering, or related) required

Preferred Qualifications
  • Foundational knowledge of AI and LLMs: basic understanding of how language models work, prompt engineering concepts, and API integration
  • Background in financial reporting, FP&A, or related Finance operations
  • Experience with Streamlit or Posit for analytical applications
  • Comfortable with code reviews, version control, and iterative delivery
  • Demonstrated eagerness to learn AI development with a growth mindset

The duties listed above are the essential functions, or fundamental duties within the job classification. The essential functions of individual positions within the classification may differ. Texas Capital Bank may assign reasonably related additional duties to individual employees consistent with standard departmental policy.Texas Capital is an Equal Opportunity Employer.
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About Texas Capital Bank

Sourced by ZipRecruiter

Texas Capital Bank is built to help businesses and their leaders. Our depth of knowledge and expertise allows us to bring the best of the big banks at a scale that makes sense for our clients, with highly experienced bankers who truly invest in people's success -- today and tomorrow.

Industry

Commercial banking

Company size

1,001 - 5,000 Employees

Headquarters location

Dallas, TX, US

Year founded

1998

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