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Data Analyst Python Sql Jobs in Minnesota (NOW HIRING)

Using SQL database queries to pull data from SQL Server, Oracle, and Netezza, the analyst utilizes tools such as SAS, Excel, Toad, pgAdmin, Visual Studio Code or similar data tools to transform and ...

Data Analyst Performs data collection, analysis, validation, cleansing, and reporting ... Designs, codes, tests, debugs, and documents ETL processes, SQL queries, and stored procedures.

... in Data Warehousing - business or data analysis experience in data warehousing 2+ years of ... Toad, or Teradata SQL Assistant 5+ years of experience with process improvement, workflow ...

Data gathering and analysis as part of assigned tasks and projects * Creating data visualization as ... Ability to create SQL or MS Access queries and reports. * Experience using Tableau or similar data ...

Data Analyst Senior

Bloomington, MN · On-site

$86.40K - $109K/yr

Proficiency in SQL and experience working with relational databases * Strong data modeling ... Proficiency in Python, R, or similar programming languages * Strong analytical thinking and problem ...

Data Analyst

Monticello, MN · On-site

$85K/yr

Data Analyst Reports to: Chief Financial Officer Location: Monticello, MN - In Office The Data ... Write advanced SQL and build analytical models to support business decisions. * Build and maintain ...

Performs data collection, analysis, validation, cleansing, and reporting ... Designs, codes, tests, debugs, and documents ETL processes, SQL queries, and stored procedures.

Data Analyst Principal - Product Owner HealthPartners is hiring a Data Analyst Principal - Product ... Must have expertise in SQL and relational database design * Expert programming skills using Python ...

HealthPartners is hiring a Data Analyst Principal - Product Owner. The Product Owner drives the ... Must have expertise in SQL and relational database design * Expert programming skills using Python ...

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Data Analyst Python Sql information

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.

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.

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 cities in Minnesota are hiring for Data Analyst Python Sql jobs? Cities in Minnesota with the most Data Analyst Python Sql job openings:

Data Snowflake Software Engineer (Drools, Java, Azure, Python)

Kaav Inc.

Eden Prairie, MN • On-site

$116.70K - $140.20K/yr

Other

This job post has expired today. Applications are no longer accepted.


Job description

Description: Key Responsibilities
Data Architecture & Development

  • Build and optimize data pipelines using Snowflake tools (SnowPark, SnowPipe, Streams/Tasks).
  • Develop and optimize data warehouse solutions on Snowflake, ensuring high availability, reliability, and performance.
  • Create complex SQL queries, views, and stored procedures for data extraction, manipulation, and analysis within Snowflake.
  • Set up Snowflake's security, roles, and privileges to manage access control effectively.
  • Design schemas, create data maps, and implement knowledge graphs for seamless data integration.
  • Improve performance and scalability of large data systems.
  • Implement and manage business rules using Rules Engine to ensure consistency and efficiency in data-related decision-making.
  • Work with business stakeholders to develop and deploy rule-based decision models, integrating Rules Engine into the data pipeline where necessary.
Data Quality & Optimization
  • Set up and maintain data quality frameworks and validation processes in Snowflake.
  • Monitor performance, solve query issues, and reduce costs while increasing efficiency.
Skills
Programming & Scripting:
  • Proficiency in Python, SQL, Java, or Scala for data processing and automation.
  • Experience with infrastructure as code (IAC) tools such as Terraform or ARM templates.
DevOps & CI/CD:
  • Familiarity with Azure DevOps for CI/CD pipelines and deployment automation.
Analytical & Problem-Solving Skills:
  • Strong troubleshooting abilities and experience with performance tuning in Azure and Snowflake.
Soft Skills:
  • Excellent communication skills for collaboration with technical and non-technical teams.
  • Strong organizational and project management abilities.
Required Qualifications:
  • Snowflake (Snowpark, Snow Pipe, Streams/Tasks)
  • Experience with Rules Engine (Drools /Camunda Etc.)
  • Java, Java scripts
  • Experience with Azure CSP
Preferred Qualifications:
  • Experience with Drools Rules Engine.

Required Skills : Snowflake,Azure,Python,Java
Basic Qualification :
Additional Skills : Azure Engineer,Software Developer
Background Check : No
Drug Screen : No