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Sql Python Excel Power Bi Tableau Jobs in Rocklin, CA

Intermediate proficiency in SQL, including writing joins, aggregations, and performing data ... Excel and at least one data visualization or reporting tool, such as Power BI, Tableau, Cognos, or ...

Data Analyst II On-Site

Auburn, CA ยท On-site

$37.95 - $44.60/hr

Intermediate proficiency in SQL, including writing joins, aggregations, and performing data ... Excel and at least one data visualization or reporting tool, such as Power BI, Tableau, Cognos, or ...

Data Analyst II On-Site

Auburn, CA ยท On-site

$37.95 - $44.60/hr

Intermediate proficiency in SQL, including writing joins, aggregations, and performing data ... Excel and at least one data visualization or reporting tool, such as Power BI, Tableau, Cognos, or ...

Proficiency with SQL and cloud data platforms (e.g., Azure, Databricks, or equivalent); comfort ... Power BI, Tableau) preferred. * Must be able to prioritize, manage multiple workstreams, and ...

Proficiency with SQL and cloud data platforms (e.g., Azure, Databricks, or equivalent); comfort ... Power BI, Tableau) preferred. * Must be able to prioritize, manage multiple workstreams, and ...

Showing results 41-60

Sql Python Excel Power Bi Tableau information

See Rocklin, CA salary details

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$58

$81

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

As of Sep 8, 2026, the average hourly pay for sql python excel power bi tableau in Rocklin, CA is $58.50, according to ZipRecruiter salary data. Most workers in this role earn between $48.27 and $69.04 per hour, depending on experience, location, and employer.

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 cities near Rocklin, CA are hiring for Sql Python Excel Power Bi Tableau jobs?

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

Infographic showing various Sql Python Excel Power Bi Tableau job openings in Rocklin, CA as of August 2026, with employment types broken down into 86% Full Time, 10% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $121,687 per year, or $58.5 per hour.

Data Architect

West Advanced Technologies (WATI)

West Sacramento, CA โ€ข On-site

$67.75 - $87/hr

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Data Architect
West Sacramento, CA
36+ months
Consultant will provide technical expertise assisting Client with implementation of a BI and DW solution working in coordination with a future BI and DW Implementation vendor while also working alongside Client staff to provide knowledge transfer.
Required Skills:
At least seven (7) years of working experience in the Information Technology or Information System (IT/IS) fields with extensive experience in the positions of enterprise data architect, data scientist, database architect/developer/administrator, database lead, or database designer/modeler, report designer, etc.
At least five (5) years of experience incorporating an industry's open and non-proprietary Software Development Life Cycle (SDLC) methodology to lead and/or create data architectures, conceptual/ logical/physical data models for software development projects, while collaborating closely with an organization's enterprise database unit and following all applicable enterprise IT standards, policies, processes, procedures, and best practices, etc.
At least five (5) years of experience participating in data testing, developing data strategies and associated polices and best practices to promote data security, integrity, quality, governance and consistency.
At least five (5) years of experience, as a Data Architect, with large organizations leading or participating in the technical implementation of BI and DW solutions for a wide variety of complex business processes and data including analytic platforms such as Power BI, Tableau, Amazon QuickSight and Azure Analysis Services.
At least five (5) years of experience designing and implementing highly available and fault tolerant databases including complex multi-node clustering and disaster recovery.
At least five (5) years of experience architecting and reviewing Extract Transform and Load (ETL) and/or Change Data Capture (CDC) processes using tools such as SQL Server Integration Services (SSIS), Amazon AWS Glue, and Azure Data Factory in an Enterprise environment.
Desired Skills:
Experience providing enterprise level data architecture and/or data modeling services at a public sector entity such as local, State or Federal agency.
Experience as a Data Architect leading or participating in the technical implementation of pension / retirement, or financial related software development projects.
Experience working with Data Tools, Business Intelligence Studio, and SQL Server Management Studio.
Experience in optimizing and reviewing Microsoft Structured Query Language (MSSQL) database processes including performance tuning of SQL query, trigger, stored procedures & DB engine.
Ability to effectively communicate and document designs, processes and work as well as develop, document and institute best practices.
Strong knowledge of Online Transaction Processing (OLTP) environments, design, modeling, performance considerations and SQL internals.
Experience with Agile delivery in enterprise-wide initiatives. Scaled Agile Framework (SAFe) certificate or equivalent enterprise agile certificate a plus. (Please provide certification copy)
Bachelor's degree in Computer Science, Computer Engineering, or related fields from an accredited or government sanctioned college/university. (Please provide copy of degree).
Experience with utilizing Extensive Markup Language (XML), JavaScript Object Notation (JSON), and Window Functions within SQL as well as experience with database technologies such as SQL, NoSQL, and Hadoop.
Experience with encryption and security (in flight, at rest, and column level).
Experience with source code management solutions such as Team Foundation Server (TFS) and Visual Source Control.
Experience using Simple Object Access Protocol (SOAP), Representational State Transfer (REST), and GraphQL web services.
Ability to understand metamodels, taxonomies and ontologies as well as the challenges of applying structed techniques to less-structed data sources.
Hold professional certifications relevant to the services and specializations. For example, Certified Data Management Professional (CDMP), Azure Data Engineer, Azure Database Administrator, Azure Data Scientist, Azure Solutions Architect, Azure DevOps Engineer, AWS Solutions Architect, AWS DevOps Engineer, AWS Data Analytics Specialty, and AWS Database Specialty. Client may request a copy of the certifications.
Rajeev
West Advanced Technologies, Inc
E: rajeev.g2@wati.com
C:2796665837 | T: 5072292946
Serving government agencies for 18 Years
www.wati.com