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Sql Python Excel Power Bi Tableau Jobs in Stanley, NC

... tools (Power BI, Tableau) * Exposure to managed Agile delivery process (Jira, backlog, sprint planning) * Certifications such as CBAP, PMI-PBA, or Agile * Python, PL/SQL, JAVA, would be a plus

Design and develop interactive dashboards and reports using Power BI and Tableau. * Build visually ... SQL). * Oracle Database. * MongoDB (basic knowledge). * Windows Server environments. * Python ...

Business Analytics Consultant - Power BI

Charlotte, NC · On-site

$44.75 - $61.50/hr

Apply strong technical expertise in SQL, Power BI, and Tableau to develop innovative reporting and ... Experience with Microsoft Power Apps, Power Automate, Hadoop, Python, and advanced data engineering ...

Experience with Power BI, Tableau, or similar visualization platforms. * Experience with Azure, AWS ... SQL (Advanced) * Python * Alteryx * Power BI * Excel Data & Integration * REST APIs * JSON / XML ...

Showing results 21-40

Sql Python Excel Power Bi Tableau information

See Stanley, NC salary details

$10

$54

$74

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

As of Sep 4, 2026, the average hourly pay for sql python excel power bi tableau in Stanley, NC is $54.10, according to ZipRecruiter salary data. Most workers in this role earn between $44.62 and $63.85 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 Stanley, NC are hiring for Sql Python Excel Power Bi Tableau jobs?

Cities near Stanley, NC with the most Sql Python Excel Power Bi Tableau job openings:

Client Experience Technical Product Owner

Vangard, Inc.

Charlotte, NC

Full-time

Posted 22 days ago


Job description

    Leads the strategic vision and roadmap for a technical product or products with cross-divisional impact, demonstrating a deep understanding of the product(s) and associated business areas. Products often have enterprise-wide implications.

    Overall Description:

    • (75%)Managestechnical strategy (& implementation)forClient Experience data products (both client feedbacksurveydata& non-survey data)and owns Data Dependencymonitoring/alerts ecosystem,in partnership withtechnical, analytics, and product owner stakeholders across the division.

    • (25%)Managesanalyticsdata(includingSQL code for senior leadership OKRs),and ensures data quality and data governance standards are achieved and communicated, supporting analytics stakeholders across the division

    TechnicalResponsibilities:

    • Leads development and implementation of new technicalcross-divisionalproducts

    • Influences and collaborates, acrosscross-functionaltechnicalteams,tooptimize data quality and data governance ecosystem.

    • Drives connectionsacrossdata products /capabilities (data capture, analytics, reporting,engineering, operations, SQL management, etc.).

    • Builds(& leads) theteam's "DataDependency" program (includingdocumentation,monitoringcapabilities, alert functionalities, technical process maps), and required communications plans

    AnalyticsResponsibilities:

    • Engages with internalanalyticspartners to understand business strategy,objectives,andKPIs.

    • Leads"MonthlyDataQA"(ensuring key metricsacross multipledataecosystemsmatch),annualSQL codeoptimizationinitiatives,regularROI analyses,regular impact analyses,andongoingpartnershipswith other analysts tocontinuously enhanceallofthe above

    • Managesa series ofsenior leadershipOKR Metrics(& respective SQL code)to ensure optimal data quality&data governancepractices

    What we're looking for:

    • Strong communication skills

    • Strong strategyexperience

    • Client Experience(CX) background

    • Financial Industrybackground

    • TechnicalKnowledge:

    • Data Engineering, Data Quality,DataLineage,DataGovernance,MetadataDocumentation,TechnicalProcessMaps,DataDependencyIdentification/Mapping,Data Architecture.

    • AnalyticsKnowledge:SQL, Python,Power BI,Tableau,AWSS3Tables,Github,running formal Experiments and ROI analyses.

    Qualifications:

    • Undergraduate degree or equivalent combination of training and experience required. Graduate degree preferred.

    • Minimum of eight years related business experience. Three years of leading large cross-functional teams on major organizational projects preferred.

    Special Factors

    Sponsorship

    Vanguard is not offering visa sponsorship for this position.

    About Vanguard

    At Vanguard, we don't just have a mission-we're on a mission.

    To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

    How We Work

    Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.