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Senior Python Data Analysis Jobs in Idaho (NOW HIRING)

Clearwater Analytics

Sr. Technical Data Analyst

Boise, ID · On-site

$81K - $103K/yr

Supporting data analysis, integration, and quality work underpins this reporting, ensuring the ... Knowledge of one or more programming languages (e.g., Java, Python, VBA). * Proficiency in data ...

Clearwater Analytics

Technical Data Analyst

Boise, ID · On-site

Dive into complex data sets, conducting thorough analysis and delivering insightful reports on ... Java, Python, VBA). * Proficiency in data manipulation and data cleansing techniques. * Knowledge ...

Weiser Memorial Hospital

Data Analyst

Weiser, ID · On-site

$75K - $90K/yr

Working knowledge of Python for data analysis. * Experience working with relational databases and structured datasets. * Strong analytical, problem-solving, and organizational skills. * Ability to ...

Weiser Memorial Hospital

Data Analyst

Weiser, ID · On-site

$75K - $90K/yr

Working knowledge of Python for data analysis. * Experience working with relational databases and structured datasets. * Strong analytical, problem-solving, and organizational skills. * Ability to ...

Weiser Memorial Hospital

Data Analyst

Weiser, ID · On-site

$75K - $90K/yr

Working knowledge of Python for data analysis. * Experience working with relational databases and structured datasets. * Strong analytical, problem-solving, and organizational skills. * Ability to ...

LUMA

Data Analyst

Boise, ID · On-site

$36.16 - $38.42/hr

We are seeking a data professional with strong SQL and Python skills to develop scalable ETL/ELT ... Programming and query languages related to the governance and analysis of data * Typically gained ...

Micron

Sr Data Scientist

Boise, ID · On-site

Data Analysis & Anomaly Detection: Perform exploratory data analysis (EDA) on semiconductor ... Strong skills in python and at least familiar with 1 machine learning framework (like pyTorch ...

Micron Technology

Sr Data Scientist

Boise, ID · On-site

Data Analysis & Anomaly Detection: Perform exploratory data analysis (EDA) on semiconductor ... Strong skills in python and at least familiar with 1 machine learning framework (like pyTorch ...

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Senior Python Data Analysis information

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

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 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.

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 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 popular job titles related to Senior Python Data Analysis jobs in Idaho? For Senior Python Data Analysis jobs in Idaho, the most frequently searched job titles are:
What job categories do people searching Senior Python Data Analysis jobs in Idaho look for? The top searched job categories for Senior Python Data Analysis jobs in Idaho are:
Senior Python Data Analysis jobs near you
Sr. Technical Data Analyst

Sr. Technical Data Analyst

Clearwater Analytics

Boise, ID • On-site

$81K - $103K/yr

Full-time

Posted 25 days ago

Job description

Job Summary:
Technical Data Analyst uses business intelligence and reporting expertise to build the dashboards and reports our clients and their end users rely on to report investment portfolio information to their own clients. These deliverables range from interactive dashboards to scheduled performance and portfolio reports and ad hoc investment analytics. Additionally, the analyst partners with clients, investment teams, and project management to understand reporting requirements and translate them into accurate, timely deliverables. Supporting data analysis, integration, and quality work underpins this reporting, ensuring the information presented is reliable and aligned with customer and company requirements.
Responsibilities:
  • Design, build, and maintain the BI dashboards and reports our clients and their end users use for investor and portfolio reporting.

  • Produce accurate, timely investment and financial reporting-including performance, portfolio, and ad hoc analytics-tailored to client and end-user needs.

  • Develop data visualizations and self-service BI tools that make complex investment data clear and actionable for clients and their end users.

  • Analyze investment and financial data, delivering insightful reports and commentary on outcomes, trends, and performance drivers.

  • Partner with clients, investment teams, and project management to gather reporting requirements and translate them into client-ready deliverables.

  • Combine data from multiple sources into comprehensive, reconciled datasets that support reliable reporting and analytics.

  • Build and maintain the data systems and pipelines that feed BI and reporting solutions.

  • Continuously improve data quality, reporting accuracy, and reliability to uphold the highest standards.

Required Skills:
  • Proficiency with BI and data visualization platforms (e.g., Power BI, Tableau, Looker).

  • Strong understanding of financial and investment reporting concepts, performance metrics, and portfolio analytics.

  • Experience designing and automating reporting dashboards and recurring report production.

  • Deep understanding of investment data.

  • Familiarity with cloud platforms and big data technologies (e.g., AWS, GCP, Azure).

  • Understanding of database design and data warehouse principles.

  • Knowledge of one or more programming languages (e.g., Java, Python, VBA).

  • Proficiency in data manipulation and data cleansing techniques.

  • Knowledge of data governance and best practices in data management.

  • Continuous improvement mindset for self and team.

  • Ability to work collaboratively in a cross-functional team environment.

  • Ability to work with large datasets and perform data mining tasks.

  • Strong computer skills, including proficiency in Microsoft Office.

  • Excellent attention to detail and strong documentation skills.

  • Outstanding verbal and written communication skills.

  • Strong organizational and interpersonal skills.

  • Exceptional problem-solving abilities.

Education and Experience:
  • Bachelor's degree in data analytics, statistics, accounting, finance, computer science, or related discipline.

  • 5+ years of relevant experience in business intelligence, financial/investment reporting, data analytics, and visualization.

  • Hands-on experience with SQL and NoSQL databases.

  • Experience with data integration and ETL (extract, transform, load) processes.

  • Experience with data visualization tools such as Tableau, Power BI, or D3.js.

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