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Business Analyst Sql R Python Jobs in Idaho (NOW HIRING)

Data Engineer

Meridian, ID

$108K - $129K/yr

Influence and evangelize analytical methodologies to support business partners' needs * Act as a ... Significant experience with BI tools such as AWS QuickSight, Power BI, R, Python, SAP Business ...

Data Engineer

Meridian, ID

$108K - $129K/yr

Influence and evangelize analytical methodologies to support business partners' needs * Act as a ... Significant experience with BI tools such as AWS QuickSight, Power BI, R, Python, SAP Business ...

Data Engineer

Meridian, ID · On-site

$108K - $129K/yr

Influence and evangelize analytical methodologies to support business partners' needs * Act as a ... Significant experience with BI tools such as AWS QuickSight, Power BI, R, Python, SAP Business ...

Your business acumen coupled with your ability to pivot from the tactical to strategic delivery of ... SQL. * Knowledge of actuarial or analytics software such as Arius, R, Python, and Tableau. What ...

Complete financial analyses before new capital equipment is purchased, including metrics ... Python, SQL, R) and traditional (Excel, VBA) methods to improve and automate tasks in the planning ...

Participates in project stand-up meetings with Business Analysts and IT staff to assess business ... Previous experience with SSIS and SSRS is preferred * Demonstrates initiative and works ...

US Expansion Planning Engineer

Boise, ID

$69K - $89K/yr

Connect parts of the business to drive the execution of manufacturing and cost savings processes ... Apply new and traditional methods, including Python, SQL, R, Excel and VBA, to improve and automate ...

Data Analyst

Boise, ID · On-site

$65K - $100K/yr

Practical experience in statistical analysis using statistical packages, including Excel, Power BI, R, Python, and Machine Learning tools. * Experience with Python programming and creating ...

Data Analyst

Boise, ID · On-site

$65K - $100K/yr

Practical experience in statistical analysis using statistical packages, including Excel, Power BI, R, Python, and Machine Learning tools. * Experience with Python programming and creating ...

SQL Developers

Boise, ID · On-site

$43 - $59/hr

... and B2B process integration solutions. Our company provides application analysis, design ... SQL Developer POD, Inc. providing high-end application development and database support for a ...

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Business Analyst Sql R Python information

What are Business Analyst SQL R Python roles?

Business Analyst SQL R Python roles refer to positions where professionals analyze business data and processes using tools such as SQL for database querying, and R or Python for statistical analysis and data visualization. These analysts help organizations make data-driven decisions by extracting, interpreting, and presenting insights from large datasets. They often work closely with stakeholders to understand business requirements and translate them into technical solutions. Proficiency in SQL, R, and Python allows them to efficiently manipulate data, build predictive models, and automate reporting tasks.

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

To thrive as a Business Analyst with SQL, R, and Python expertise, you need strong analytical skills, business acumen, and a background in data analysis or a related field. Proficiency with SQL for database querying, R and Python for data manipulation and statistical analysis, and familiarity with business intelligence tools are typically required. Excellent communication, problem-solving abilities, and stakeholder management skills help you translate complex data insights into actionable business strategies. These skills ensure you can extract, interpret, and present data-driven recommendations that support informed decision-making and drive business value.

How do Business Analysts utilizing SQL, R, and Python typically collaborate with data engineering and product teams?

Business Analysts with SQL, R, and Python skills frequently work alongside data engineering teams to define data requirements, validate data pipelines, and ensure data quality for analysis. They also collaborate with product teams to translate business needs into actionable insights and develop data-driven recommendations. Regular communication is essential, as analysts often bridge the gap between technical and non-technical stakeholders, facilitating workshops or meetings to clarify requirements and present findings. This collaborative environment helps ensure that analytical solutions are both technically sound and aligned with business goals.
What cities in Idaho are hiring for Business Analyst Sql R Python jobs? Cities in Idaho with the most Business Analyst Sql R Python job openings:
Data Engineer

$108K - $129K/yr

Other

Posted 8 days ago


Job description

Description

Scentsy is looking for a Data Engineer to ensure the availability, reliability, and performance of data infrastructure and analytical systems. This role pairs deep data engineering expertise with strong development capabilities, designing and building data products on AWS, S3, and other cloud data warehouse technologies.


This job is worked 100% of the time in-office at our Meridian, ID corporate office.

*Please note: We are unable to provide H-1B visa work sponsorship for this position.


What You'll Do:

  • Serve as part of our Data Engineering and Analytics team providing data analytics capabilities for various internal Scentsy business partners
  • Influence and evangelize analytical methodologies to support business partners' needs
  • Act as a technical lead for designing and implementing custom reports and dashboards 
  • Assess requirements and assist with developing data warehouse infrastructure 
  • Confer with the immediate team on warehouse operational issues and recommend resolutions
  • Interface with data analysts to define and implement data requirements to meet their analytic needs 
  • Participate in the design and build of conceptual, logical, and physical data models to support business analytics from the data warehouse
  • Recommend data strategies, ETL processes, and procedures for getting data in and out of the data warehouse 
  • Design, develop, and deploy data pipelines, integrations, and automation solutions, applying sound software engineering practices across the development lifecycle
  • Test reporting solutions and provide training
  • Interact with technical resources from various teams within the Information Systems and Information Technology departments to define and test technical changes to the system
  • Design and implement custom reports and dashboards
  • Translate analytical program models, including but not limited to scripting, error handling, and documentation 
  • Work with users from various functional areas (sales, order processing, shipping, logistics, credit, finance, marketing, etc.)
  • Analyze processes ensuring sustainability, supportability, and automation
  • Identify new data from additional internal or 3rd party systems and transform it to work cohesively within existing Data Warehousing models
  • Participate in evaluating new technologies to ensure data and technology architecture advancement within the organization's BI needs
  • Identify development needs to improve and streamline business operations
  • Provide stakeholders with quality data so the business can make sound, data-driven decisions and recommendations
  • Coach and mentor less experienced engineers
  • Perform all other assigned tasks and requirements as needed

We're Looking For:

  • Bachelor's degree in business, Business Intelligence, Data Warehouse or data related field or equivalent related experience
  • 5 years of data warehouse engineering experience and/or 3 years of Business Intelligence experience
  • Significant knowledge of best practices for data modeling, dimensional modeling (Star schema), data ingestion, queries, and data loading options
  • Wide experience of cloud data warehousing tools and technologies such as Snowflake and RedShift
  • Significant experience with BI tools such as AWS QuickSight, Power BI, R, Python, SAP Business Objects and Web Intelligence (WEBI) reporting tools
  • Experience with AWS Services like AWS Quick, Cloud Formation, S3, Glue, State Machine, Lambda, Event Bridge, SNS and Appflow.
  • Excellent data manipulation and analysis skills
  • Experience in data access and delivery technologies, including familiarity with data quality assessment, data organization, metadata, and data profiling
  • Ability to take complex, ambiguous problems, break them down into smaller parts, and problem solve to come up with a whole, integrated, and strategic solution
  • Excellent skills in SQL, data modeling, data warehousing, and OLAP
  • Strong solution development capabilities, including the ability to design, build, test, and deploy production-quality code and automation
  • Excellent written and oral communication skills
  • Experience with SAP systems including table structure, field definitions, CDS views and usage, a plus
  • Experience with git
  • Advanced critical thinking, problem solving, and analytical skills
  • Familiarity with Agile Framework
  • Experience with Redgate Flyway