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Python Sql Tableau Jobs in Dallas, TX (NOW HIRING)

Boeing

Senior Business Intelligence Analyst

Dallas, TX · On-site

$118K - $152K/yr

Responsible for designing data models, dashboards, KPIs/metrics, and self-service reports utilizing R/Python, SQL, and Tableau skills; * Provide technical solutions to complex supply chain problems ...

Boeing

Senior Business Intelligence Analyst

Dallas, TX

$118K - $152K/yr

Responsible for designing data models, dashboards, KPIs/metrics, and self-service reports utilizing R/Python, SQL, and Tableau skills; * Provide technical solutions to complex supply chain problems ...

Copart, Inc.

Sr. Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Python, SQL, Java, Scala * Cloud Platforms: AWS, Google Cloud Platform, Azure * Data Warehousing ... BI Tools: Tableau, Pentaho, Looker, Power BI, Thoughtspot #L1-MS1 At Copart, we are focused on ...

Diverse Lynx

SAP Native Hana

Dallas, TX · On-site

$60.25 - $79.25/hr

Responsibilities : • Required Skills - HANA Modeling, SQL, Shell scripting, Python coding experience. • Preferred Skills - SAP HANA Analytics, SAP HANA Reporting, Tableau • Expert in Data ...

Embtel Inc

Azure Data Bricks Consultant

Fort Worth, TX · On-site

$52.75 - $65.50/hr

Python, Spark, Unix, SQL * Data Platforms: Teradata, Cassandra, MongoDB, Oracle, SQL Server, ADLS ... BI Analytics Tool Stack - Cognos, Tableau, Power BI, Alteryx, Denodo, and Grafana * Data ...

Noblesoft Technologies

Gen AI Lead

Dallas, TX · On-site

$138K - $170K/yr

... Git Actions, Tableau, Power BI, ThoughtSpot, Web Scraping * Data & Engineering - SQL, MySQL ... SQL, Pyspark, Scala, R, Python, SAS * Gen AI & Agents - Prompt Engineering, RAG, Vector DB, Agentic ...

Frost Bank

Data Scientist III

Dallas, TX · On-site

... packages like Python, SQL, R, SAS, etc. * Develop, manage, and deploy analytical solutions ... Create output and/or results that visualize findings using fixed reports and/or tools like Tableau ...

Purple Drive Technologies

Data Analyst

Dallas, TX · On-site

Collect, clean, and analyze large datasets from various sources using SQL , Python , and/or R . * Develop dashboards and visualizations in Tableau , Power BI , or Looker to communicate insights ...

Mod Op

Senior Marketing Data & AI Engineer

Dallas, TX · On-site

$104K - $142K/yr

Proficiency in Python, SQL, and cloud platforms such as GCP or AWS. Experience with AI/ML tools and frameworks, including modern LLM technologies. Experience building dashboards in Looker, Tableau ...

TPI Global Solutions

Data Analyst

Plano, TX · Hybrid

... SQL and Python Experience with data visualization tools such as Tableau Strong analytical and problem-solving skills Excellent communication and data storytelling abilities Ability to work ...

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How much do python sql tableau jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for python sql tableau in Dallas, TX is $57.99, according to ZipRecruiter salary data. Most workers in this role earn between $47.79 and $65.87 per hour, depending on experience, location, and employer.

What is a Python Sql Tableau job?

A Python SQL Tableau job typically involves using Python for data processing and automation, SQL for querying and managing databases, and Tableau for data visualization and reporting. Professionals in this role work with large datasets to extract insights, create reports, and support data-driven decision-making. Common responsibilities include writing SQL queries, developing Python scripts for data analysis, and designing interactive Tableau dashboards. These roles are often found in data analytics, business intelligence, and data engineering fields.

What are the typical daily responsibilities for someone in a Python SQL Tableau position?

A professional in a Python SQL Tableau role typically spends their day gathering data from various databases using SQL, cleaning and preparing the data with Python, and then creating interactive dashboards or reports in Tableau. You may collaborate with business analysts, data engineers, and stakeholders to define business requirements and deliver custom visualizations. Regular activities include troubleshooting data issues, automating data workflows, and presenting insights in meetings. This role often requires balancing multiple projects and adapting quickly to evolving business needs, making it both dynamic and engaging.

What are the key skills and qualifications needed to thrive in the Python Sql Tableau position, and why are they important?

To excel in a Python SQL Tableau role, you need strong skills in programming with Python, advanced SQL for database querying, and data visualization with Tableau, usually backed by a degree in computer science, information systems, or a related field. Familiarity with data warehousing tools, ETL processes, Tableau Desktop/Server, and possibly certifications like Tableau Desktop Specialist are highly valued. Exceptional problem-solving, analytical thinking, and communication skills help you interpret complex data and present actionable insights to stakeholders. These technical and interpersonal abilities are crucial for transforming raw data into meaningful business intelligence, driving strategic decisions across organizations.

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Python Sql Tableau jobs near you
Infographic showing various Python Sql Tableau job openings in Dallas, TX as of June 2026, with employment types broken down into 62% Internship, and 38% Full Time. Highlights an 74% In-person, and 26% Hybrid job distribution, with an average salary of $120,620 per year, or $58 per hour.
Quant Analytics Associate Sr - DART

Quant Analytics Associate Sr - DART

JPMorgan Chase & Co.

Plano, TX • On-site

$95K - $135K/yr

Full-time

Medical, Retirement

Posted 13 days ago

JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 469 frontline employees who took The Breakroom Quiz

46th of 141 rated banks

Job description

Job Description
Join our team as a senior quantitative analytics associate, where you'll collaborate with business partners to design innovative, automated solutions using cutting-edge technologies, driving operational efficiency in a dynamic, learning-focused environment.
As a Quant Analytics Associate Senior within DART (Data, Analytics and Reporting Team), you will play a crucial role in the DART MIS (Management Information System) setup and will be tasked with delivering effective business solutions. You will collaborate closely with various stakeholders and management levels to ensure the delivery of the most optimal solutions. As a member of the DART team you will leverage a broad technology suite to implement automated solutions and deliver data driven insights.
Job Responsibilities
  • Own end-to-end MIS solution delivery: requirements gathering, metric definition, source data acquisition, modeling, transformation, validation, and visualization.
  • Design and build reliable ELT/ETL pipelines in Python/SQL; implement orchestration, version control, and CI/CD to ensure repeatability and resilience.
  • Create executive-ready dashboards and self-service data marts (e.g., Tableau) with intuitive UX and clear metric definitions.
  • Apply advanced analytics (forecasting/time series, anomaly detection, segmentation, queuing/capacity planning) to optimize operational performance
  • Implement data quality frameworks (unit/integration tests, validation checks, anomaly monitoring), define SLAs/SLOs, and maintain runbooks.
  • Translate complex findings into concise narratives for senior stakeholders; influence decisions with data-backed recommendations.
  • Identify risks opportunities proactively, and value-unlock levers in operational processes; drive innovation in data management and automation.
  • Manage the book of work, prioritize initiatives, and deliver projects on time; lead cross-functional teams as SME and mentor junior colleagues.
  • Adhere to data governance, privacy, and control standards; ensure audit readiness, reproducibility, and clear documentation.

Required Qualifications, Capabilities, and Skills
  • 5+ years of hands-on analytics experience delivering measurable business improvements, with a strong track record in operations analytics or MIS within complex environments.
  • Bachelor's degree in a quantitative or technical field (Economics, Engineering, Physical Sciences, Mathematics, Operations Research, Statistics, Computer Science).
  • Expert-level SQL (complex joins, window functions, CTEs, performance tuning) and strong Python (pandas, NumPy; unit testing with pytest; structured logging; packaging).
  • Proven experience building automated data pipelines and operating in data lake/cloud environments (Snowflake; AWS services such as S3, Glue, Lambda; or equivalent).
  • Strong data visualization experience (Tableau or equivalent), including KPI design, dashboard UX, and audience-specific storytelling.
  • Working knowledge of machine learning and applied statistics for operations use cases (time series forecasting, supervised/unsupervised methods, feature engineering).
  • Familiarity with data wrangling tools (e.g., Alteryx) and, as applicable, R for statistical analysis.
  • Excellent verbal and written communication skills-able to synthesize complex analyses into concise executive narratives and visuals.
  • Demonstrated ability to collaborate across functions and levels; influence decisions; and drive adoption of data solutions.

Preferred Qualifications, Capabilities, and Skills
  • Banking industry experience and domain knowledge in Consumer & Community Bank (CCB) Operations (e.g., servicing/contact centers, payments/claims, fraud/disputes, collections) and workforce/capacity planning.
  • Experience with experimentation and causal methods (A/B testing design, uplift modeling, causal inference frameworks).
  • Modern data engineering practices: orchestration (Airflow or equivalent), transformation frameworks (dbt), API integrations, and containerization (Docker) or comparable tooling
  • Performance and cost optimization in cloud data platforms; query/profile tuning for large-scale datasets.
  • Exposure to risk and control frameworks; model documentation; audit and lineage standards in regulated environments.
  • Certifications (e.g., AWS Data/Analytics, Snowflake, Tableau).

About Us
Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans
About the Team
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

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