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Sql Python Excel Power Bi Tableau Jobs in Long Beach, CA

Master Production Scheduler

Cypress, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

SQL, Python, Power BI, Tableau, or other business intelligence tools. * Experience leading S&OP or master scheduling processes. * Bachelor's degree in Supply Chain, Operations Management, Engineering ...

Master Production Scheduler

Cypress, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

SQL, Python, Power BI, Tableau, or other business intelligence tools. * Experience leading S&OP or master scheduling processes. * Bachelor's degree in Supply Chain, Operations Management, Engineering ...

3093 - Sr. Software Engineer

Irvine, CA · On-site

$129K - $171K/yr

... SQL queries, stored procedures, and data models • Develop or support Power BI/Tableau dashboards and data visualizations • Use Python for automation, data processing, or integration tasks • ...

SQL, MS Power BI, Tableau, Excel, etc.) to transform that data into meaningful reports and ... Coding with SQL, Hive, Python/R, SAS, VBA, etc. * Demonstrates excellent organizational skills with ...

Senior BI & Analytics Developer

El Segundo, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Power BI (semantic models, datasets, basic DAX) * SQL (advanced querying, transformations, performance considerations) * Python for data transformation (ideallyPySpark) * Solid understanding of:

Senior BI & Analytics Developer

Los Angeles, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Power BI (semantic models, datasets, basic DAX) * SQL (advanced querying, transformations, performance considerations) * Python for data transformation (ideallyPySpark) * Solid understanding of:

Strong knowledge of Excel, SQL, and data visualization tools (Tableau/Power BI) * Basic knowledge of Python or R (preferred) Skills * Primary skills: Excel, SQL, data visualization tools * Secondary ...

Hands-on experience with Excel, SQL, and BI tools (Power BI, Tableau, etc.). * Familiarity with TMS/WMS and logistics performance metrics. * Experience handling large datasets and building dashboards.

Showing results 21-40

Sql Python Excel Power Bi Tableau information

See Long Beach, CA salary details

$11

$59

$81

How much do sql python excel power bi tableau jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for sql python excel power bi tableau in Long Beach, CA is $59.14, according to ZipRecruiter salary data. Most workers in this role earn between $48.80 and $69.76 per hour, depending on experience, location, and employer.

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 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.

Is Power BI still in demand in 2026?

Power BI remains a highly in-demand skill for data analysts and business intelligence professionals in 2026, as organizations continue to prioritize data visualization and reporting tools. Proficiency in Power BI, along with skills in SQL, Python, and Excel, enhances job prospects in data-driven roles, with demand expected to grow as companies adopt advanced analytics and automation solutions.

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.

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.

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

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The top searched job categories for Sql Python Excel Power Bi Tableau jobs in Long Beach, CA are:

What cities near Long Beach, CA are hiring for Sql Python Excel Power Bi Tableau jobs?

Cities near Long Beach, CA with the most Sql Python Excel Power Bi Tableau job openings:

Infographic showing various Sql Python Excel Power Bi Tableau job openings in Long Beach, CA as of June 2026, with employment types broken down into 92% Full Time, 4% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 82% Physical, 6% Hybrid, and 12% Remote job distribution, with an average salary of $123,001 per year, or $59.1 per hour.

Senior AI Solution Architect - Data & AI Platforms

Balin Technologies LLC

Santa Ana, CA • On-site

Other

Posted 4 days ago


Job description

Job Title: Senior AI Solution Architect - Data & AI Platforms (Google Cloud Platform)

Location: Santa Ana, CA
Duration: Fulltime
Job Description:
Primary Skills: Big Query, Vertex AI, Cloud Storage, Dataflow, Dataproc, Pub/Sub, Looker,Data Architecture, AI/ML platforms, and Generative AI solutions,datalake house architectures, modern BI platforms, ML/MLOps, Conversational Analytics, Generative AI, and Agentic AI frameworks
Secondary Skills: Looker, Tableau, Power BI, SQL, Python, Spark, Kafka

Experience

10-15+ years overall experience (with 5+ years in AI/Data Architecture roles)

Job Summary

We are seeking a highly skilled AI Solution Architect with deep expertise in Data Architecture, AI/ML platforms, and Generative AI solutions, to design and deliver scalable, secure, and enterprise-grade data and AI solutions on Google Cloud Platform (Google Cloud Platform).

The ideal candidate will have strong hands-on experience across datalake house architectures, modern BI platforms, ML/MLOps, Conversational Analytics, Generative AI, and Agentic AI frameworks, and will work closely with business, data engineering, and AI teams to drive end-to-end AI-led transformation.

Key Responsibilities

Data & Platform Architecture

  • Design and own end-to-end data architectures including ingestion, processing, storage, governance, and consumption layers
  • Architect modern data lakehouse platforms using Google Cloud Platform services (e.g., BigQuery, Dataproc, Cloud Storage)
  • Define scalable data platforms supporting batch, streaming, and real-time analytics
  • Establish data governance, metadata management, data quality, lineage, and security frameworks

AI, ML & MLOps Architecture

  • Design ML/AI architectures supporting model training, deployment, monitoring, and lifecycle management
  • Define and implement MLOps frameworks (CI/CD for ML, feature stores, model registries, observability)
  • Collaborate with data scientists to productionize ML models at scale
  • Evaluate and recommend ML frameworks, tools, and best practices

Generative AI & Agentic AI

  • Architect and implement Generative AI solutions using LLMs (e.g., text, code, embeddings, multimodal use cases)
  • Design Conversational Analytics and AI-powered BI solutions
  • Build and evaluate Agentic AI platforms, including autonomous agents, orchestration frameworks, and tool integrations
  • Lead solution evaluations, PoCs, and vendor/tool assessments for GenAI and Agent-based systems

Business Intelligence & Analytics

  • Design modern BI and analytics platforms enabling self-service analytics and AI-driven insights
  • Integrate BI tools with data lakehouse and AI layers
  • Enable semantic layers, metrics definitions, and governed analytics

Cloud & Google Cloud Platform Leadership

  • Lead architecture and solution design on Google Cloud Platform (Google Cloud Platform)
  • Utilize Google Cloud Platform services such as BigQuery, Vertex AI, Cloud Storage, Dataflow, Dataproc, Pub/Sub, Looker, and IAM
  • Ensure architectures follow best practices for security, scalability, performance, and cost optimization

Stakeholder & Technical Leadership

  • Partner with business leaders to translate business requirements into AI-driven solutions
  • Lead technical design reviews and architecture governance
  • Mentor engineers, architects, and data scientists
  • Create architecture blueprints, reference architectures, and technical documentation

Required Skills & Qualifications

Core Technical Skills

  • Strong experience in Data Architecture & Data Platforms
  • Hands-on expertise in Data Lakehouse architectures
  • Deep understanding of end-to-end data management
  • Experience with modern BI platforms and analytics ecosystems
  • Strong background in AI/ML architecture and MLOps
  • Proven experience in Conversational Analytics and Generative AI
  • Hands-on exposure to Agentic AI platforms, frameworks, and evaluations
  • Strong expertise in Google Cloud Platform (Google Cloud Platform)

Tools & Technologies (preferred)

  • Google Cloud Platform: BigQuery, Vertex AI, Cloud Storage, Dataflow, Dataproc, Pub/Sub, Looker
  • AI/ML: TensorFlow, PyTorch, scikit-learn, LLM frameworks
  • MLOps: CI/CD, feature stores, model registries, monitoring tools
  • Data: SQL, Python, Spark, Kafka
  • BI: Looker, Tableau, Power BI (or equivalent)