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Data Analyst Python Sql Jobs in Nevada (NOW HIRING)

Data & Software Engineer

Las Vegas, NV ยท On-site

$104K - $125K/yr

... and analytics solutions using Microsoft technologies such as Power BI, Azure Data Factory/SSIS, ... Ability to code in relevant languages for data engineering and software development (e.g., Python ...

Data Modeler

Las Vegas, NV ยท On-site

$52.25 - $67.75/hr

Data Modeler Location: Las Vegas, 12 months Contract * 5+ years of experience in Data Modeling ... Analyze legacy ETL packages built in SSIS and convert them to ELT logic. * Handling of various ...

Experience with Microsoft SQL Server, PostgreSQL, Apache Spark and Hadoop for processing large datasets. Proficiency in Python and VBA for data analysis, scripting, automation, and reporting ...

Experience with Microsoft SQL Server, PostgreSQL, Apache Spark and Hadoop for processing large datasets. Proficiency in Python and VBA for data analysis, scripting, automation, and reporting ...

Experience with Microsoft SQL Server, PostgreSQL, Apache Spark and Hadoop for processing large datasets. Proficiency in Python and VBA for data analysis, scripting, automation, and reporting ...

Experience and comfort with Python, SQL and Excel * Comfortable handling sometimes ambiguously ... Experience working with loan data * Experience with PowerBI, SAS, Python, or R will also be valued ...

Proficiency in SQL for data manipulation and analysis. Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau

Proficiency in SQL for data manipulation and analysis. Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau

Proficiency in SQL for data manipulation and analysis. Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau

Postgres SQL DBA

Las Vegas, NV ยท On-site

$47.75 - $59.75/hr

Experience with message queuing, full-text indexing, and other high-performance data concepts ... Working knowledge of Lambda, Python Manikanth Sarian Solutions, Inc. Ph: 732-790-2266 X 105 ...

Sr Data Engineer

Las Vegas, NV ยท On-site

$97K - $131K/yr

Strong proficiency in Python scripting for data processing and pipeline development * Advanced SQL skills for analytics, transformations, and troubleshooting * Experience building and supporting ...

Sr Data Engineer

Las Vegas, NV

$97K - $131K/yr

Strong proficiency in Python scripting for data processing and pipeline development * Advanced SQL skills for analytics, transformations, and troubleshooting * Experience building and supporting ...

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Data Analyst Python Sql information

How does a Data Analyst using Python and SQL typically collaborate with other departments within an organization?

Data Analysts proficient in Python and SQL frequently work alongside teams such as marketing, product development, finance, and operations. They gather requirements from stakeholders, translate business questions into data queries, and present actionable insights through dashboards or reports. Regular meetings and clear communication are essential to ensure that data solutions align with business goals, and Data Analysts often act as a bridge between technical data teams and non-technical decision makers. This collaborative environment helps drive data-informed decisions across the organization.

What are Data Analyst Python SQL jobs?

Data Analyst Python SQL jobs involve analyzing and interpreting data to help organizations make informed business decisions. These professionals use Python for data manipulation, automation, and visualization, and SQL for querying and managing data stored in relational databases. Typical tasks include data cleaning, building reports, extracting insights, and creating dashboards. Data Analysts often collaborate with other teams to understand data requirements and communicate findings through presentations or visualizations. Proficiency in both Python and SQL is essential for efficiently handling large data sets and solving complex analytical problems.

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

To thrive as a Data Analyst specializing in Python and SQL, you need strong analytical skills, statistical knowledge, and proficiency in data manipulation, typically supported by a relevant degree or certification. Expertise in Python for data analysis, SQL for database querying, and experience with visualization tools like Tableau or Power BI are commonly expected. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These skills help ensure accurate analysis, impactful reporting, and informed decision-making within organizations.

What is the difference between Data Analyst Python Sql vs Data Scientist?

AspectData Analyst Python SqlData Scientist
Required SkillsExcel, SQL, Python basics, data visualizationAdvanced Python, machine learning, statistical modeling
Work EnvironmentBusiness intelligence, reporting, dashboardsPredictive modeling, research, complex data analysis
Industry UsageFinance, marketing, retail, healthcareTech, finance, research institutions, startups

While Data Analysts with Python and SQL focus on interpreting data, creating reports, and visualizations, Data Scientists build predictive models and perform advanced statistical analysis. Both roles require Python and SQL skills, but Data Scientists typically have a stronger background in statistics and machine learning, making their work more research-oriented.

What job categories do people searching Data Analyst Python Sql jobs in Nevada look for? The top searched job categories for Data Analyst Python Sql jobs in Nevada are:
Infographic showing various Data Analyst Python Sql job openings in Nevada as of June 2026, with employment types broken down into 1% Locum Tenens, 88% Full Time, 8% Part Time, and 3% Contract. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution.
Data & Software Engineer

Data & Software Engineer

Blue Heron

Las Vegas, NV โ€ข On-site

$104K - $125K/yr

Full-time

Posted 8 days ago


Job description

Overview:
The Data & Software Engineer will be responsible for the company's data foundation end to end, including integrations, data quality, data modeling, governance enablement, and analytics delivery. This is a cross-functional role with enterprise-wide responsibility for data and serves as the subject matter expert for the standardized unified data platform. The role partners with data product owners to ensure data is entered and maintained consistently and enables teams to produce reliable, automatically updating dashboards and reports.
Responsibilities:
Data Platform Ownership
  • Design, build, operate, and maintain our Microsoft data platform: Fabric / OneLake / Power BI / Azure components as appropriate.
  • Establish automated patterns for ingestion, transformation, modeling, security, monitoring, and cost management.
  • Create and maintain semantic models that support consistent dashboarding and reporting across the business and enable teams to use them effectively.

Software Engineering & Integrations
  • Integrate data across multiple systems using APIs, files, databases, middleware/iPaaS, and approaches for systems without APIs.
  • Build and maintain reliable ingestion pipelines (batch and/or near real-time where needed).
  • Write and maintain production-quality code to support pipelines, transformations, integrations, and internal tooling.
  • Develop supporting tools/services where needed to automate workflows and improve data reliability.

Data Quality, Standards & Governance Enablement
  • Define practical data standards (definitions, naming, required fields, validation rules, ownership, etc.).
  • Partner with business stakeholders and data product owners to improve upstream data entry processes and reduce downstream cleanup.
  • Implement data validation, reconciliation, and lineage so stakeholders can trust the data.

Power BI Enablement & Reporting
  • Build (and enable others to build) core dashboards and reporting patterns in Power BI.
  • Train and guide stakeholders on dashboarding best practices, KPI definitions, and self-service reporting within guardrails.
  • Create reusable templates/standards for metrics, visuals, and report structure.

Data Strategy & Continuous Improvement
  • Serve as the subject matter expert for enterprise data.
  • Think proactively about Blue Heron's organizational data strategy - prioritizing what matters most, aligning stakeholders, and adapting as systems/processes evolve.
  • Identify opportunities to improve data quality, automation, and reporting maturity in a constantly evolving environment.

Future-State
  • Build internal applications/tools (including custom proprietary platforms for Blue Heron).
  • Prototype and deliver AI-enabled apps/workflows (e.g., copilots, RAG, intelligent search, automated insights).

Requirements
Essential Qualifications:
  • Bachelor's degree in Computer Science or a related field (or equivalent practical experience).
  • 5+ years building data platforms and analytics solutions using Microsoft technologies such as Power BI, Azure Data Factory/SSIS, Azure Synapse, and Azure Data Lake/SQL (or equivalent modern data stack experience).
  • Proven ability to build and operate automated, production-grade data pipelines and models (ELT/ETL, validation, monitoring).
  • Solid understanding of system integration, including REST APIs and approaches for systems without APIs (vendor exports, file drops, DB connections, etc.).
  • Ability to code in relevant languages for data engineering and software development (e.g., Python, SQL, C#, JavaScript/TypeScript or similar).
  • Experience improving data quality by working upstream with business teams.
  • Ability to communicate clearly with technical and non-technical stakeholders; comfortable training users and setting standards.
  • High-ownership mindset: you build it, you own it, you improve it.

Preferred Qualifications:
  • Direct experience with Microsoft Fabric (Lakehouse/Warehouse, pipelines, notebooks, semantic models, governance).
  • Application development experience (internal tools, lightweight web apps, workflows).
  • Experience using AI-assisted coding tools productively (accelerating delivery while maintaining code quality).
  • AI app building experience (Azure OpenAI, copilots, RAG patterns, orchestration, etc.).
  • Experience in construction/homebuilding or project-based services data.