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Sql Python Excel Power Bi Tableau Jobs in Tennessee

Solutions Architect

Oak Ridge, TN

$54.75 - $72/hr

Proficiency in SQL and scripting languages (such as Python) to develop, debug, and optimize data ... layer (Power BI/Tableau and Enterprise level tools like Dynatrace, etc..). ETL Development ...

Solutions Architect

Oak Ridge, TN · On-site

$54.75 - $72/hr

Proficiency in SQL and scripting languages (such as Python) to develop, debug, and optimize data ... layer (Power BI/Tableau and Enterprise level tools like Dynatrace, etc..). • ETL Development ...

Position: Power BI Analyst Worksite: In Office Compensation: Commensurate with experience ... Connect to multiple data sources through Power Query Editor including SQL, Excel, and web based ...

Power BI Consultant

Nashville, TN · On-site

$46.25 - $63.50/hr

Power BI Report Writer - Payroll Analytics Location: On-Site Employment Type: Full-Time Overview ... Experience with SQL or other data query languages. * Familiarity with HRIS data structures ...

Dashboards (e.g., Excel, Power BI, Tableau) * Briefings for TDH leadership and stakeholders 7. Stakeholder Coordination * Serve as a liaison between: * TDH Central Office * Regional and Metro Public ...

This role is ideal for data professionals who excel in visualizing insights and have a strong grasp of Power BI to support business decision-making. Key Responsibilities: * Design and build ...

Power BI Analyst Location: Hybrid TN Employment Type: Full-Time Type: Full time Compensation ... Strong proficiency in SQL and Azure database environments . * Demonstrated ability to work ...

SQL, * Jira, * Power bi, * Tableau, * VB.net, * Planview, * Application integration Additional Skills & Qualifications - Experience configuring and administering business-critical applications ...

Showing results 21-40

Sql Python Excel Power Bi Tableau information

What is a sql python excel power bi tableau job?

Jobs that require skills in SQL, Python, Excel, Power BI, and Tableau typically involve working with data analysis, data visualization, and business intelligence. Professionals in these roles use SQL to manage and query databases, Python for data processing and automation, Excel for organizing and analyzing data, and Power BI or Tableau to create interactive dashboards and reports. These roles are common in industries like finance, healthcare, marketing, and technology, where data-driven decision-making is essential. Common job titles include Data Analyst, Business Intelligence Analyst, and Data Scientist.

How do professionals using SQL, Python, Excel, Power BI, and Tableau typically collaborate within data teams?

Professionals skilled in SQL, Python, Excel, Power BI, and Tableau often work closely with data analysts, data engineers, and business stakeholders. They collaborate by gathering requirements, extracting and transforming data (using SQL and Python), and then visualizing insights (with Power BI and Tableau) or conducting ad-hoc analysis in Excel. Regular communication and sharing of dashboards or reports are common, as is peer review of data models and code. This collaborative environment helps ensure accurate, actionable insights for the organization.

What are the key skills and qualifications needed to thrive as a data analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in SQL and Python for data manipulation, and a solid understanding of Excel for data organization and calculations. Familiarity with data visualization tools like Power BI and Tableau, as well as relevant certifications such as Microsoft Certified: Data Analyst Associate, are highly valuable. Attention to detail, problem-solving abilities, and effective communication skills help translate complex data findings into actionable insights for stakeholders. These skills are crucial for extracting meaningful information from data, driving business decisions, and presenting results clearly to both technical and non-technical audiences.

What is the difference between Sql Python Excel Power Bi Tableau vs Data Analyst?

AspectSql Python Excel Power Bi TableauData Analyst
Required SkillsSQL, Python, Excel, Power BI, TableauData analysis, SQL, Excel, visualization tools
Work EnvironmentBusiness intelligence, data visualization, reportingData interpretation, reporting, business insights
Industry UsageTech, finance, marketing, consultingFinance, healthcare, retail, marketing

Sql Python Excel Power Bi Tableau professionals focus on data extraction, analysis, and visualization using specific tools. Data Analysts interpret data to provide insights, often using similar skills but with a broader focus on business decision-making. While both roles require SQL and Excel, the former emphasizes technical data manipulation and visualization tools, whereas Data Analysts focus on understanding data trends and presenting actionable insights.

What are popular job titles related to Sql Python Excel Power Bi Tableau jobs in Tennessee?

For Sql Python Excel Power Bi Tableau jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Sql Python Excel Power Bi Tableau jobs in Tennessee look for?

The top searched job categories for Sql Python Excel Power Bi Tableau jobs in Tennessee are:

What cities in Tennessee are hiring for Sql Python Excel Power Bi Tableau jobs?

Cities in Tennessee with the most Sql Python Excel Power Bi Tableau job openings:

$54.75 - $72/hr

Full-time

Posted 8 days ago


Job description

Spectra Tech is seeking a Solutions Architect for Oak Ridge, TN. 

*Job Description:

Knowledge, Skillset, and Abilities (KSAs) -

Enterprise Architecture & Business Acumen: Ability to translate high-level business goals and complex system metrics into actionable, executive-ready KPIs and visual strategies.

Data Modeling & Pipeline Orchestration: Advanced knowledge of modeling data(e.g., star schemas, dimensional modeling) tailored specifically for Extract, Load, Transform (ELT) frameworks within modern data warehouses.

BI & Data Visualization Expertise: Expert-level mastery of visualization tools (PowerBI, Tableau, or equivalent) with deep knowledge of dashboard UX/UI best practices, row-level security (RLS), and performance tuning for large datasets.

Hands-on Scripting & Coding Capabilities: Proficiency in SQL and scripting languages (such as Python) to develop, debug, and optimize data transformation logic within the ELT layer. 

Requirements Gathering & Facilitation: Proven ability to lead cross-functional discovery sessions, facilitate discussions with engineering, IT, and executive stakeholders, and reconcile technical limitations with business desires.

Specific Requirements -

Stakeholder Consultation & Discovery: Facilitate workshops with system engineers, database administrators, and business stakeholders to identify key system metrics, pain points, data sources, and desired dashboard business outcomes.

Architecture & Design: Design the end-to-end data flow architecture-from the source system metrics, through the ETL pipeline, to the data warehouse, and finally to the visualization layer (Power BI/Tableau and Enterprise level tools like Dynatrace, etc..).

ETL Development & Scripting: Perform hands-on scripting, database engineering, and SQL optimization to clean, aggregate, and structure system metrics into highly performance-optimized schemas.

Dashboard Development: Build, publish, and maintain interactive dashboards that track system health, operational performance, and enterprise-aligned metrics.

Security & Access Control: Implement proper data access controls, authentication standards, and row-level security profiles to ensure that metrics are visible only to authorized personnel.

Tool Selection Support: Lead the evaluation, trade-off analysis, and recommendation of the optimal Business Intelligence tools (e.g., comparing Power BI vs. Tableau vs tools like Dynatrace for the specific organization environment).

Specific Deliverables -

Deliverable 1: Business Requirements & Metrics Mapping Document (BRD): A comprehensive document detailing the business goals, stakeholder feedback, defined Key Performance Indicators (KPIs), mapped system metrics, and logical data definitions.

Deliverable 2: End-to-End System Integration & Data Flow Architecture: A technical blueprint illustrating the data journey from source systems, through the ELT staging and transformation zones, to the final visualization analytical models.

Deliverable 3: Data Pipeline/ELT Scripts & Repository: Well-documented, production-grade scripts (SQL, Python, or ETL/ELT tool pipelines) deployed to the project's code repository to orchestrate daily or real-time metric transformations.

Deliverable 4: BI Dashboard Mockups & Wireframes: Architectural UI/UX mockups of the proposed dashboards capturing user interactions, filter schemes, and layout prior to final development.

Deliverable 5: Production-Ready Dashboard Solutions: Interactive BI dashboards published to the designated enterprise environment, successfully connected to the automated ETL backend.

Deliverable 6: System Hand-off, Documentation, & Training Plan: Operational runbooks outlining the data pipeline maintenance, schema details, dashboard metric logic, and a brief walkthrough session/recording for internal administrators.

*Educational Requirements:

Level 5: PhD in a technical field and 2 to 5 years of related experience or Masters degree in a technical field and 5 to 10 years of related experience or Bachelors degree in a technical field and 10 to 15 years of related experience or Associates degree in a technical field and 15 to 20 years of related experience. Requires demonstrated indepth knowledge and skills in a technical specialty. Recognized as an expert in their field. 

Level 6: PhD in a technical field and 5 or more years of related experience or Masters degree in a technical field and 10 or more years of related experience or Bachelors degree in a technical field and 15 or more years of related experience or Associates degree in a technical field and 20 or more years of related experience. Requires demonstrated in-depth knowledge and skills in a technical specialty. This level should be limited to a small population. Recognized as an expert in their field.

*Experience Level:

5 - 15 years experience

Employment Type: Full-Time Employee