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Data Analyst Python Sql Jobs in Nevada (NOW HIRING)

Experience with data analysis tools such as SQL and/or Power BI is preferred * Strong analytical and problem-solving skills, with the ability to interpret data and provide actionable insights * High ...

Experience with data analysis tools such as SQL and/or Power BI is preferred * Strong analytical and problem-solving skills, with the ability to interpret data and provide actionable insights * High ...

Experience with data analysis tools such as SQL and/or Power BI is preferred * Strong analytical and problem-solving skills, with the ability to interpret data and provide actionable insights * High ...

Data & Software Engineer

Las Vegas, NV

$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 & Software Engineer

Las Vegas, NV · 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 & Software Engineer

Las Vegas, NV · 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 & Software Engineer

Las Vegas, NV · On-site

$109K - $131K/yr

... and analytics solutions using Microsoft technologies such as Power BI, Azure Data Factory/SSIS, ... Python, SQL, C#, JavaScript/TypeScript or similar). • Experience improving data quality by ...

Proficiency in Python and Visual Basic for Applications (VBA) for data analysis, scripting, automation, and reporting dashboard tools. Proficiency with MS Access. Proficiency in SQL for data querying ...

Proficiency in Python and Visual Basic for Applications (VBA) for data analysis, scripting, automation, and reporting dashboard tools. Proficiency with MS Access. Proficiency in SQL for data querying ...

Proficiency in Python and Visual Basic for Applications (VBA) for data analysis, scripting, automation, and reporting dashboard tools. Proficiency with MS Access. Proficiency in SQL for data querying ...

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

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Data Analyst Python Sql information

Is Python and SQL enough for a data analyst?

For a data analyst, proficiency in Python and SQL is fundamental for data manipulation, analysis, and querying databases. However, additional skills such as data visualization, statistical knowledge, and familiarity with tools like Excel or BI platforms are often required to perform comprehensive analysis and communicate insights effectively.

What jobs can you get with SQL and Python?

Data analysts, data scientists, and business intelligence analysts commonly use SQL and Python to extract, analyze, and visualize data. These skills are essential for roles involving data management, reporting, and automation, often requiring knowledge of databases, statistical analysis, and data visualization tools.

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.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals successfully transition into the field at various ages. Skills in Python, SQL, and data visualization tools are more important, and continuous learning can help overcome any age-related concerns. Employers value experience and analytical ability regardless of age.

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.

Can Python and SQL work together?

Data analysts often use Python and SQL together to efficiently extract, manipulate, and analyze data. Python libraries like pandas and SQL connectors enable seamless integration, allowing analysts to automate workflows and perform complex data processing tasks within a single environment.

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:

Accounting Data Analyst

Elemental Brands

Reno, NV • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 12 days ago


Job description

Company Description
The Opportunity:
At Elemental Brands, our success starts with our people. Every day, our engineers, innovators, creators, and problem-solvers work together to develop and deliver innovative LED lighting solutions through Diode LED®, Lucetta®, Lucetta CI®, Gammalux®, and Elemental LED®. Together, we're driving innovation and helping define the future of the low-voltage linear lighting industry.
That same spirit of innovation and collaboration shapes everything we do. We encourage curiosity, continuous learning, and fresh ideas across every department, empowering employees to grow their careers, make meaningful contributions, and help shape the future of lighting.
Recognized by EDAWN as "Company of the Year - Large" and "Employees First - Large," and by the University of Nevada, Reno as "Graduate Employer of the Year," Elemental Brands is proud to be an award-winning workplace where people come first, innovation thrives, and careers flourish.
Job Description
What You'll Do:
Step into a role where your analytical skills directly shape business decisions. As an Accounting Data Analyst, you'll turn complex sales and financial data-like commissions, rebates, and key performance metrics-into meaningful insights that drive accuracy and impact. You'll collaborate with teams across Accounting, IT, Sales Operations, and Operations to ensure data integrity, streamline reporting, and improve processes. From supporting the month-end close to uncovering opportunities for efficiency, you'll play a key role in keeping financial operations running smoothly while helping the business grow smarter and faster.
Challenge Yourself - The Specifics:
  • Collect, analyze, and interpret sales and financial data to identify trends, variances, and actionable insights
  • Develop, maintain, and distribute reports and dashboards covering sales performance, commissions, rebates, and key financial metrics, including executive-level reporting
  • Perform account reconciliations related to sales, commissions, rebates, and customer accounts as part of the month-end close process
  • Manage and maintain the commissions inbox, providing timely customer service to rep agencies by responding to inquiries and resolving discrepancies
  • Maintain accurate sales and commission-related data within systems (e.g., sales rep structures, commission agreement setups, region IDs), ensuring alignment with financial records
  • Assist with accounts receivable and sales-related metrics, including tracking collections, aging, and performance trends
  • Assist with audit requests by preparing supporting schedules, documentation, and reconciliations
  • Identify and recommend process improvements (automations) to enhance reporting efficiency, data accuracy, and cross-functional workflows
  • Ensure data integrity and accuracy across systems, reports, and financial outputs
  • Support the broader accounting team on an as-needed basis, contributing to projects, analyses, and cross-functional initiatives
  • Performs other duties as assigned

Qualifications
You Have a Unique Combination of Skills, Talents, and Mindset, Including Many of the Following:
  • Bachelor's degree in Accounting, Information Systems, Data Analytics or related fields
  • Minimum three (3) years of experience in accounting, data analysis, or a related field preferred
  • Basic understanding of accounting principles, including journal entries, account reconciliations, and chart of accounts
  • Experience working with ERP systems (e.g., IFS or similar) is preferred
  • Advanced proficiency in Microsoft Excel and the Microsoft Office Suite (e.g., formulas, pivot tables, data analysis, Power Query & VBA)
  • Experience with data analysis tools such as SQL and/or Power BI is preferred
  • Strong analytical and problem-solving skills, with the ability to interpret data and provide actionable insights
  • High attention to detail with strong organizational and time management skills
  • Strong communication skills, with the ability to explain data and findings to both technical and non-technical audiences, as well as strong communication and "managing up" skills
  • Understanding of sales-related financial processes, including commissions, rebates, and revenue reporting

Ability to:
  • Work with large data sets, ensuring accuracy, consistency, and completeness while handling sensitive and confidential information with a high level of discretion
  • Manage multiple priorities, meet deadlines, and adapt in a fast-paced environment
  • Identify process improvement opportunities and support the implementation of more efficient workflows
  • Work both independently and collaboratively, take ownership of assigned processes from start to finish
  • Plan, direct, coordinate, evaluate, and improve the work of others
  • Communicate effectively in person, cross-functionally, over the phone, and in writing, using proper English grammar, spelling, and style.
  • Interpret, apply, explain, and ensure compliance with applicable Company policies and procedures
  • Use tact, initiative, prudence, and independent judgment within general policy, procedural, and legal guidelines
  • Represent the department and the Company effectively
  • Demonstrate solid judgment, focus, effective decision-making capability, and a sense of urgency
  • Effective critical thinking and problem-solving skills with attention to detail and an eye for creating unique solutions and internal efficiencies
  • Strong customer service focus and empathy for customer situations to resolve those issues while also being able to achieve our business and operational needs to maintain the collection of payment goals
  • Professional drive to work independently, effectively, and efficiently with little direction and numerous interruptions in a fast-paced, frequently changing work environment and company infrastructure
  • Utilize excellent time management and organizational skills
  • Work on multiple projects at the same time, establishing priorities, meeting deadlines, and treating confidential information appropriately
  • Strong work ethic and emphasis on attention to detail with a "can-do" attitude
  • Understand the need to collaborate with other employees and departments well
  • Acquire a basic understanding of LED lighting products

Additional Information
All information provided will be kept confidential in accordance with EEO guidelines.
The Perks and Benefits:
  • Medical, Dental, Vision, Life/AD&D, Short Term and Long-Term Disability Insurance (100% PAID by employer), available first of the month, following the date of hire
  • Company-matched 401(k) Plan, at 5%, no vesting schedule
  • Discretionary Time Off (DTO)
  • Parental Leave (PL)
  • Sick Time Off (STO)
  • Seven Paid Holidays
  • Pre-Tax Flexible Spending Accounts (FSA) and Health Savings Account (HSA) - $200 annual employer contribution
  • Career Development Plan Program
  • Discounted Corporate Gym Membership at South Reno Athletic Club
  • Tuition Assistance
  • Monthly Birthday Lunch Celebrations
  • Employee Discount
  • On-site Snacks and Beverages
  • Employee Referral Bonus Program

About Us:
Visit us at www.elementalbrands.com or call 877-564-5051.