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Senior Python Data Analysis Jobs in Idaho (NOW HIRING)

Data & AI Platform Engineer

Boise, ID

$109K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... senior engineers. Job Responsibilities Platform Operations & Enablement * Support day-to-day ... Data/Analytics Tooling Support * Assist teams with onboarding and "how-to" enablement across a core ...

Principal Product Yield Analysis Engineer

Boise, ID · On-site +1

  • Medical

  • Dental

  • Vision

  • PTO

Dissect fab and probe data using tools such as ESDA, layout/net tracing, and advanced image ... Advanced programming skills (Java, C++, Python, R) with ML/AI experience applied to failure ...

Data Science Tutor

Rexburg, ID · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Idaho Falls, ID · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

... models and analytical solutions that are robust, scalable, and maintainable by other data ... code in Python and SQL. • Collaborate with product managers, business stakeholders, and ...

... models and analytical solutions that are robust, scalable, and maintainable by other data ... code in Python and SQL. • Collaborate with product managers, business stakeholders, and ...

The Senior Applications Pathfinding Engineer is a customer-facing technical role focused on system ... Python, JMP, or similar analytical tools * Minimum of 3 years of experience in technical data ...

Digital Analyst Internships

Boise, ID · On-site

$93K - $110K/yr

Familiarity with data analysis platforms and tools, comfortable extracting and interpreting complex ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

$82K - $97K/yr

Familiarity with data analysis platforms and tools, comfortable extracting and interpreting complex ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Showing results 41-60

Senior Python Data Analysis information

What is a senior Python data analyst?

A Senior Python Data Analyst is an experienced professional who uses Python programming to collect, process, and analyze large sets of data. They are responsible for extracting meaningful insights from data to support business decisions, often using libraries like pandas, NumPy, and matplotlib. In addition to technical skills, they also apply statistical analysis and data visualization techniques, and frequently mentor junior analysts or collaborate with data scientists and engineers. Their role may also involve developing automated data pipelines and ensuring data quality across projects.

What are the key skills and qualifications needed to thrive as a senior Python data analyst?

To thrive as a Senior Python Data Analyst, you need an in-depth understanding of data analysis, statistical modeling, and advanced Python programming, typically supported by a degree in a quantitative field. Proficiency with data analysis libraries (like pandas, NumPy, and SciPy), visualization tools (such as Matplotlib and Seaborn), and experience with SQL databases are essential, and certifications like Microsoft Certified: Data Analyst Associate can be beneficial. Strong problem-solving abilities, effective communication, and the capacity to distill complex data insights for stakeholders are critical soft skills. These competencies enable you to extract actionable insights from large datasets, drive data-informed decision-making, and collaborate effectively across teams.

What are some common challenges senior Python data analysts face when working with large datasets, and how can they overcome them?

Senior Python Data Analysts often encounter difficulties such as slow processing speeds, memory limitations, and data quality issues when handling large datasets. To overcome these challenges, it's essential to leverage efficient libraries like pandas and Dask, utilize optimized data formats (such as Parquet), and implement batch processing or cloud-based solutions. Collaborating closely with data engineers and IT teams also helps ensure robust data pipelines and infrastructure. Regular code optimization and staying updated on best practices can further enhance performance when working at scale.

What is the difference between Senior Python Data Analysis vs Data Scientist?

AspectSenior Python Data AnalysisData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentData analysis teams, business unitsResearch, product development, analytics teams
Industry UsageBusiness intelligence, finance, marketingTech, healthcare, finance, research
CertificationsPython certifications, data analysis coursesData science certifications, machine learning courses

While both roles involve Python and data handling, Senior Python Data Analysts focus on interpreting data and creating reports for business decisions, whereas Data Scientists develop predictive models and advanced algorithms to extract deeper insights. The roles often overlap, but Data Scientists typically require broader skills in machine learning and statistical modeling.

Application Engineer -Semiconductor Experience Needed

ONEPOWER Consulting

Boise, ID • On-site

$80K - $120K/yr

Full-time

Re-posted 18 hours ago


Job description

Job Overview

We are looking for a dedicated Application Engineer to join our US team. This role serves as a technical bridge for our advanced SEM metrology systems, working directly with major semiconductor manufacturers. You will not only support existing installations but also demonstrate our latest technologies to solve the customer's most critical R&D and production challenges.

We offer a comprehensive training program, including 6+ months of on-site mentorship by senior engineers and periodic technical training at our Headquarters in Japan.

Key Responsibilities

Customer Support & Solutions: Collaborate with customers to identify process control challenges and propose technical solutions using our SEM metrology tools. Demonstration & Optimization: Demonstrate the capabilities of the latest tool functions and optimize measurement recipes for various semiconductor processes (R&D to HVM). Data Analysis: Analyze large datasets to verify tool performance and process stability, reporting findings to customers and internal teams. Reporting & Communication: Conduct regular progress review meetings with customers and report field technical status to Headquarters. Prepare and deliver professional presentations to summarize evaluation results and project milestones. Training: Conduct technical training for customers on tool operation, recipe creation, and data interpretation. Troubleshooting: Primary focus on software/application troubleshooting. (Ability to assist with hardware diagnosis is a plus).

Qualifications

[Must Have]

Industry Experience: Experience in semiconductor front-end equipment or manufacturing processes. Legal: Valid work authorization in the United States.

[Preferred / Nice to Have]

Technical Knowledge: Strong understanding of semiconductor device fabrication, metrology concepts, and image processing. Operational Discipline: Meticulous attention to detail and a cautious approach to operating equipment and handling data. Data Analysis Skills: Experience with data analytics tools such as Excel, Spotfire, JMP, or R for handling high-volume metrology data. Layout Data Skills: Experience handling design layout data formats such as GDS or OASIS. Coding Skills: Basic scripting capability (e.g., Python, macro scripts) to automate data handling or recipe generation. Hardware Knowledge: Basic understanding of SEM hardware or vacuum systems. Cultural Fit: Familiarity with Japanese business culture or experience working with international teams.

Travel

Occasional travel between Boise and Phoenix may be required (low frequency). Periodic travel to Japan Headquarters for advanced training (approx. once every 2-3 years).