1

Data Analyst Python Sql Jobs in Nevada (NOW HIRING)

SQL Proficiency * Data Visualization with Tableau * Advanced Analytics in R or Python * Business Acumen in Casino Industry * Critical Thinking and Problem-Solving ATS Optimization Keywords Hard ...

New

Data Modeler

Las Vegas, NV · 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 ...

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

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

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

Showing results 21-40

Data Analyst Python Sql information

What is a data analyst Python SQL?

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?

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.

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 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.

Infographic showing various Data Analyst Python Sql job openings in Nevada as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Visualization Analyst I

Link Technologies

Henderson, NV

Full-time

Re-posted 24 days ago


Job description

Job Description Link Technologies (LinkTechConsulting.com), a Las Vegas-based IT consulting firm, is currently seeking a Data Visualization Analyst - Facilities to join our team. Position Summary Under general direction, leads business requirements gathering to design and develop interactive, high-performance dashboards that translate complex data into actionable business insights for a Facilities Services Unit. Serves as a front-end analyst who prioritizes data interpretation, data storytelling, UI/UX design, and direct collaboration with stakeholders to ensure the final product effectively answers business questions

Essential Duties and Responsibilities Builds and administers dashboards and graphics using Tableau and other related data visualization software. Designs and builds complex, interactive dashboards and visual reports using Tableau Desktop, applying UI/UX best practices (hierarchy, color theory, optimized layouts, tooltips, actions, and parameters) to ensure insights are accessible to non-technical stakeholders. Acts as a data storyteller by translating complex datasets into intuitive narratives, creating low-fidelity mockups to align with stakeholders on the "story arc" prior to development.

Designs "Guided Analytics" pathways where a user is led from a high-level KPI down to granular PostgreSQL row-level detail through dashboard actions. Authors and optimizes Custom SQL within Tableau Desktop-utilizing advanced SQL syntax such as Window Functions and CTEs-to shape data at the source and deliver dashboard interactivity. Builds high-performance Tableau data models using the Logical Layer (Relationships) to connect to PostgreSQL tables, ensuring data integrity without the need for physical ETL or intermediary storage.

Collaborates with stakeholders to translate business needs into technical specifications and KPIs, and partners with Database Analysts to communicate requirements for new views or indexes. Maintains clean, well-documented workbooks-including field descriptions and calculation comments-to ensure seamless maintenance and transparency. Develops and conducts quality assurance checks to test, validate, and evaluate data visualizations for accuracy, performance, and alignment with end-user requirements.

Resolves end-user inquiries proactively and maintains effective communication with customers throughout the dashboard development process. Conforms to safety standards, as prescribed. Performs other tasks related to the position as assigned.

Distinguishing Characteristics A highly visual data storyteller who specializes in transforming complex PostgreSQL data into high-performance, intuitive Tableau dashboards through optimized live queries and superior UI/UX design. Knowledge, Skills, and Abilities (Position Expectations) Knowledge of statistics and analyzing data sets; running queries, report writing, and presenting findings; data models, database design development, data mining, segmentation techniques; and record keeping, including security procedures for handling confidential data. Knowledge of Tableau Desktop and Tableau Prep.

Knowledge of statistical analysis software and methods. Deep understanding of Gestalt principles, visual hierarchy, and best practices for choosing the right chart type for specific data stories. Mastery of SQL fundamentals (Joins, CTEs, Unions) and familiarity with Postgres-specific functions (Window functions, Date/Time intervals, JSONB parsing).

Knowledge of the Tableau "Order of Operations" and the distinction between Logical Layer (Relationships) and Physical Layer (Joins). Understanding of the "Test-to-Production" deployment workflow within a managed server environment. Ability to build interactive features such as dynamic parameters, set actions, and dashboard navigation to create a guided analytical experience.

Skill in designing, building, and maintaining Tableau dashboards. Skill in using Tableau to create dashboards using various types of data. Skill in writing clean Custom SQL that minimizes database load and maximizes dashboard refresh speeds for live connections.

Proficiency in designing clean, clutter-free interfaces that prioritize the most critical KPIs and eliminate unnecessary visuals. Ability to take a vague business request and sketch out a logical data path that answers the core question. Ability to work effectively with Database Analysts to identify whether performance bottlenecks are in SQL queries or the Tableau front end.

Ability to perform rigorous data validation to ensure dashboard accuracy against the source of truth. Ability to plan and organize work to meet deadlines. Ability to communicate clearly and concisely, verbally and in writing.

Possesses physical and mental stamina appropriate for the responsibilities of the position. Position Requirements Education, Training, and Experience High school graduation or equivalent (GED, foreign equivalency, etc.). Five (5) years of professional experience in data analysis, reporting, or visualization, including at least two (2) years of experience designing and developing dashboards using Tableau Desktop; OR Associate degree in a related field and two (2) years of relevant experience, including at least one (1) year designing dashboards using Tableau Desktop; OR Bachelor's degree in a related field and two (2) years of combined relevant experience

Demonstrated ability to write basic to intermediate SQL queries (SELECT, JOIN, WHERE) against a relational database (PostgreSQL preferred). Proven ability to translate complex or vague business questions into clear, actionable visual insights. Experience may include professional work, internships, or academic capstone projects.

Licenses and Certifications High school transcript or equivalent documentation. Valid driver's license or state-issued identification. College transcripts (if applicable).

Portfolio demonstrating Tableau dashboards, data storytelling, and user-driven design. Documentation of training and experience supporting qualifications. Preferred Qualifications Completion of a Data Analytics bootcamp or Tableau certification (with portfolio).

Working knowledge of facilities management, construction, or maintenance terminology. Bachelor's degree in Computer Science, MIS, Data Analytics, or a related field. Experience with ArcGIS Dashboards and/or ArcGIS Story Maps.

Link Technologies is an equal opportunity employer. All qualified applicants will receive consideration for employment without discrimination based on race, color, religion, sex, gender identity/expression, sexual orientation, national origin, protected veteran status, disability, or any other factors protected by law.