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Sql Python Excel Power Bi Tableau Jobs in Stockbridge, GA

Power BI Publisher

Atlanta, GA · Remote

$49.25 - $67.25/hr

Advanced experience working with Oracle DBMS, PL/SQL, SQL. * Extensive experience with Microsoft Power BI, in designing and building lists, crosstabs, graphs, scorecards, metrics, filters, prompts ...

Familiarity with modern BI tools (e.g., Power BI, Tableau) and cloud analytics platforms. * Track record of establishing enterprise KPI standards across multi-site operations. *Please note that we ...

Azure Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

... Python, SQL Server, and experience with other cloud providers * Minimum 8 years of experience ... Power BI, Databricks SQL, Tableau and SSRS * Recent 4+ years of experience working as Sr. Data ...

Experience developing Power BI dashboards and data visualizations for non-technical audiences. * Experience with SQL, Python, Tableau, or other advanced analytics and data management tools.

Experience developing Power BI dashboards and data visualizations for non-technical audiences. * Experience with SQL, Python, Tableau, or other advanced analytics and data management tools.

... Python, SQL * Surveillance pipeline development * Dashboarding tools (Power BI, Tableau, R Shiny ... Proficiency with Microsoft Office Suite (Word, Excel, PowerPoint) * Core experience with analysis ...

Skilled in data visualization and business intelligence tools such as Excel, Power BI, Tableau, or ... Proficiency in SQL, Python, R, or SAS, or ability to readily acquire proficiency based on ...

Showing results 41-60

Sql Python Excel Power Bi Tableau information

See Stockbridge, GA salary details

$9

$47

$66

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

As of Aug 21, 2026, the average hourly pay for sql python excel power bi tableau in Stockbridge, GA is $47.96, according to ZipRecruiter salary data. Most workers in this role earn between $39.57 and $56.59 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 job categories do people searching Sql Python Excel Power Bi Tableau jobs in Stockbridge, GA look for?

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

What cities near Stockbridge, GA are hiring for Sql Python Excel Power Bi Tableau jobs?

Cities near Stockbridge, GA with the most Sql Python Excel Power Bi Tableau job openings:

FinOps Specialist - Databricks and Cloud

Scicominfra

Atlanta, GA • On-site

$90 - $130/hr

Other

Posted 3 days ago

New


Job description

Position Summary

Scicom Infrastructure Services is seeking a FinOps Specialist to manage cost visibility, forecasting, financial governance, and optimization for a large-scale Databricks and cloud data platform.

This role will partner with engineering, operations, finance, procurement, and program leadership to monitor cloud consumption, identify savings opportunities, improve cost allocation, and ensure platform spending remains aligned with project and business objectives.

Key Responsibilities
  • Monitor and analyze Databricks and cloud spending across workspaces, projects, teams, environments, and workloads.
  • Track Databricks compute usage, SQL warehouses, jobs, storage, networking, and related cloud services.
  • Identify idle, oversized, underutilized, or inefficient resources.
  • Recommend improvements involving cluster sizing, autoscaling, job scheduling, serverless compute, storage, and workload design.
  • Develop monthly, quarterly, and annual budgets and forecasts.
  • Compare actual costs against budgets and investigate significant variances.
  • Create cost-allocation models by client, project, contract, cost center, team, or data product.
  • Support showback, chargeback, tagging, and resource-ownership standards.
  • Build dashboards and reports covering spend, trends, forecasts, anomalies, savings, and commitment utilization.
  • Configure budgets, thresholds, alerts, and financial guardrails.
  • Review Databricks and cloud invoices for accuracy and reconcile charges against usage and contract terms.
  • Evaluate reserved capacity, savings plans, committed-use discounts, and enterprise agreements.
  • Maintain a register of optimization opportunities and track realized savings.
  • Provide financial estimates for new workloads, migrations, proposals, and architectural changes.
  • Help technical teams understand the financial impact of platform and engineering decisions.
  • Support development of FinOps policies, procedures, and cost-aware engineering practices.
Required Qualifications
  • Bachelor’s degree in finance, accounting, business, information technology, data analytics, or a related field.
  • At least five years of experience in FinOps, cloud financial management, technology finance, or cloud cost optimization.
  • Experience analyzing Databricks or other cloud data‑platform costs.
  • Experience with Azure, AWS, or Google Cloud pricing, billing, and cost‑management tools.
  • Strong knowledge of budgeting, forecasting, variance analysis, cost allocation, and optimization.
  • Experience with showback, chargeback, tagging, invoice reconciliation, and commitment management.
  • Strong Excel or financial‑modeling skills.
  • Ability to translate technical usage data into clear financial recommendations.
  • Strong analytical, communication, reporting, and stakeholder‑management skills.
Preferred Qualifications
  • FinOps Certified Practitioner or FinOps Certified Professional.
  • Hands‑on experience with Databricks billing data, system tables, cluster policies, SQL warehouses, and serverless compute.
  • Experience with Azure Cost Management, AWS Cost Explorer, Google Cloud Billing, Cloudability, CloudHealth, Flexera, Finout, or similar tools.
  • Experience with Power BI, Tableau, SQL, Python, or Databricks SQL.
  • Familiarity with data engineering, Apache Spark, Delta Lake, Terraform, and infrastructure as code.
  • Experience supporting large enterprise, consulting, government, or regulated programs.
  • Cloud or Databricks certification.
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