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Sql Python Excel Power Bi Tableau Jobs in Salisbury, NC

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

Infrastructure Data Analytics Engineer

Charlotte, NC ยท On-site

$111K - $134K/yr

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 ...

Write and optimize SQL queries to extract, transform, and analyze data. Connect Tableau to multiple ... Knowledge of Power BI is a plus. Experience in financial services, healthcare, manufacturing, or ...

... 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

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Sql Python Excel Power Bi Tableau information

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

As of Sep 5, 2026, the average hourly pay for sql python excel power bi tableau in Salisbury, NC is $50.83, according to ZipRecruiter salary data. Most workers in this role earn between $41.92 and $59.95 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 Salisbury, NC are hiring for Sql Python Excel Power Bi Tableau jobs?

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

Senior Data and BI Engineer

CYNET SYSTEMS

Charlotte, NC โ€ข On-site

$60/hr

Contractor

Re-posted 24 days ago


Job description

Job Overview:

Requirement/Must Have:

  • 10+ years in Data Engineering / BI / Database Development.
  • Strong experience in enterprise data environments and production systems.
  • Proven track record in performance optimization and large-scale data handling.

Responsibilities:

  • Design and develop interactive dashboards and reports using Power BI and Tableau.
  • Build visually compelling insights using charts, maps, heatmaps, and advanced visualizations.
  • Develop complex DAX calculations, KPIs, and time intelligence metrics.
  • Create and manage calculated fields and advanced analytics logic.
  • Publish reports to Power BI Service and manage data refresh schedules.
  • Implement Row-Level Security (RLS) to control access.
  • Design and implement data models (relationships, hierarchies, calculated columns).
  • Perform data extraction, transformation, and loading using Power Query, SSIS, and Informatica.
  • Build scalable and efficient data warehouse solutions.
  • Work with structured and semi-structured data including SQL Server and MongoDB.
  • Develop and optimize complex T-SQL queries, stored procedures, triggers, and functions.
  • Design and maintain database objects (tables, views, indexes).
  • Perform query optimization and performance tuning.
  • Implement indexing and partitioning strategies to improve performance.
  • Manage SQL Server environments (2008/2012/2016 & Azure SQL).
  • Monitor and maintain production systems ensuring high availability and reliability.
  • Handle incident management, RCA, and ticket tracking (ServiceNow/JIRA).
  • Support code deployment, release management, and production fixes.
  • Perform environment monitoring (SIT, UAT, Prod) and validations.
  • Implement backup and recovery strategies (full, differential, log backups).
  • Design and test disaster recovery plans.
  • Perform regular maintenance: index rebuilds, statistics updates, patching.
  • Set up monitoring tools for database health and performance.
  • Lead data migration initiatives from legacy systems to modern platforms.
  • Optimize large datasets using advanced data structures and indexing techniques.
  • Improve query performance and reduce load times significantly.
  • Participate in full SDLC lifecycle (requirements → design → development → testing → deployment).
  • Create Functional Specification Documents (FSDs) and technical documentation.
  • Gather requirements and convert them into JIRA stories and deliverables.
  • Collaborate with cross-functional teams in agile environments.
  • Maintain documentation in Confluence.

Nice to Have:

  • Experience in financial services / large enterprise environments.
  • Strong analytical mindset with focus on data-driven decision making.

Skills:

  • Power BI (DAX, Power Query, Data Modeling, RLS).
  • Tableau (Dashboarding, Calculated Fields, Visual Analytics).
  • SQL Server (T-SQL, Performance Tuning, Database Design).
  • ETL Tools: SSIS, Informatica.
  • Reporting Tools: SSRS, Crystal Reports.
  • SQL Server (On-Prem & Azure SQL).
  • Oracle Database.
  • MongoDB (basic knowledge).
  • Windows Server environments.
  • Python (basic to intermediate knowledge).
  • Autosys, JIRA, ServiceNow.

Qualification And Education:

  • Excellent communication and documentation skills.
  • Highly proactive and detail-oriented.
  • Strong problem-solving and troubleshooting skills.
  • Ability to work under pressure in production environments.
  • Continuous learner with passion for emerging data technologies.
 

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading staffing and recruiting powerhouse. Proudly recognized as a nationally and locally certified diversity firm, Cynet delivers agile, scalable talent solutions across industries. With an active footprint in all 50 U.S. states and Canada, we support thousands of consultants through our expansive, high-performing recruitment engine operating across North America and Asia—ensuring speed, quality, and consistency in every hire.

Cynet Systems logo

About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

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