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Sql Python Excel Power Bi Tableau Jobs in California

SQL & Python scripting; Design and development of dynamic dashboards and reports in Microsoft Power BI & Tableau; CI/CD: Git, GitHub, Azure DevOps; Sprint planning, backlog grooming, user stories ...

Utilize Microsoft Power BI, Power Platform (Power Automate), SQL Server, and sometimes Python/SAS ... g., Tableau, MicroStrategy). * Knowledge of automation tools and advanced Excel (macros, VBA)

... in SQL for data extraction, transformation, and analysis โ€ข Experience in data modeling and ... Excel, Power BI (nice to have) โ€ข Familiarity with scripting languages such as Python Company

Data Analyst (Tableau, SQL & Python)

Sunnyvale, CA ยท On-site

$65 - $70/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Data Analyst (Tableau, SQL, Python) **Prefer candidates who can work on W2** (No for C2C arrangements) Onsite in Sunnyvale, CA / Austin, TX / Elk Grove, CA from Day 1 (Client prefer local folks ...

Business Process Data Administrator

Salida, CA ยท On-site

$79K - $110K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... SQL, Python, Excel, Power BI, or Power Platform Work with IT and business teams to troubleshoot system issues and improve usability. Support software development projects (e.g., Python, HTML5 ...

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Sql Python Excel Power Bi Tableau information

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.

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

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

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

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

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

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

Infographic showing various Sql Python Excel Power Bi Tableau job openings in California as of August 2026, with employment types broken down into 1% Internship, 86% Full Time, 9% Part Time, 2% Temporary, and 2% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution.

Tableau / Power BI Engineer

Tata Consultancy Service Limited

Sunnyvale, CA โ€ข On-site

$64K - $110K/yr

Full-time

Posted 17 days ago


Job description

Must Have Technical/Functional Skills:
Digital : BI Data Visualization - Tableau; Tableau (Analytics Tool); Digital : Microsoft Power BI; Tabular models; DAX; VertiPaq/aggregations/partitions; Query folding; Power Query; DAX; Hyper extracts; Tableau APIs; TSC (Tableau Server Client); Usage/Content admin; Service/Fabric; Dataflows; Deployment Pipelines; Gateways; RLS/OLS; Workspaces/Capacity
Roles & Responsibilities:
Partner with stakeholders to translate requirements into semantic models, datasets, and intuitive dashboards.
Design star/snowflake dimensional models; author robust SQL, DAX (Power BI), and LOD/table calculations (Tableau).
Build data transformations with Power Query (M), Tableau Prep/flows, and warehouse-native pipelines; ensure data quality.
Optimize performance: vertiPaq memory, aggregations, partitions (Power BI); extracts, LOD usage, context filters (Tableau).
Implement security and governance: RLS/OLS (Power BI), row/column-level security (Tableau), certified datasets, lineage, documentation.
Administer platforms: Power BI Service/Fabric (workspaces, capacities, deployment pipelines) and Tableau Server/Cloud (sites, projects, permissions).
Establish CI/CD and release management using ALM Toolkit/Tabular Editor (Power BI) and REST/Metadata APIs (both); versioning and automated tests.
Monitor usage and reliability; drive cost/capacity planning, query folding/pushdown, and model tuning.
Enable self-service: standards, templates, training, and review processes for analysts and business teams.
As needed, migrate assets between Tableau and Power BI: audit, translate calculations, validate visuals/data, orchestrate phased cutover and decommission.
Salary Range: $64,000 - $110,000 a year
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