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Data Analyst Computer Science Jobs in Mooresville, NC

Bachelor's degree in Data Analytics, Computer Science, Information Systems, Business Analytics, Statistics, Mathematics, Finance, or a related field, or an equivalent combination of education and ...

Data Scientist under general supervision will perform data engineering, data modeling and model deployment. Analyze large scale complex business data (time series data, structured/unstructured) from ...

Data Analyst

Concord, NC ยท Hybrid

$76K - $103K/yr

Data Science and Data Engineering Job Qualifications: Skills: Collaboration, Data Analytics, Data Science, Exploration, Statistical Analysis Certifications: None Experience: 2 + years of related ...

... Computer Science, Engineering, or a related field. * Internship, co-op, academic project experience, or up to 2 years of experience in data analytics, statistics, engineering, or a related field.

CapTech's Data Analysts work within a collaborative, team environment to help define and deliver ... Collaborate with other data workstreams (Data Engineers, Data Architects, Data Scientists, Product ...

CapTech's Data Analysts work within a collaborative, team environment to help define and deliver ... Collaborate with other data workstreams (Data Engineers, Data Architects, Data Scientists, Product ...

Senior Data Analyst

Charlotte, NC ยท On-site

$77K - $124K/yr

Master's degree required in Computer Science, Data Science, Supply Chain, Operations Research, Industrial Engineering, Analytics, or related field. * Minimum of 5 years of experience in Supply Chain ...

Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or related field (Master's preferred) * Proven experience in data analysis, machine learning, or predictive modeling

Product / Data Analyst

Charlotte, NC ยท On-site

$37 - $42/hr

Perform data analysis using SQL to support organizational objectives. * Lead and support team ... We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and ...

... Computer Science, Engineering, or a related field. * Internship, co-op, academic project experience, or up to 2 years of experience in data analytics, statistics, engineering, or a related field.

... Science | Data analytics 401k | Flexible paid time off | Life insurance | Long-term disability | Medical and dental insurance Capacity Planning | Compliance | Data Analysis | Data Storytelling | Data ...

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Data Analyst Computer Science information

See Mooresville, NC salary details

$32.2K

$78.2K

$128.7K

How much do data analyst computer science jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data analyst computer science in Mooresville, NC is $78,227.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,200.00 and $91,800.00 per year, depending on experience, location, and employer.

What is a data analyst in computer science?

A Data Analyst in Computer Science is a professional who collects, processes, and analyzes data to help organizations make informed decisions. They use various statistical tools and programming languages, such as Python, R, and SQL, to interpret complex datasets and identify trends or patterns. Their work often involves cleaning data, creating visualizations, and preparing reports for stakeholders. Data Analysts play a key role in turning raw data into actionable insights that drive business strategies.

What are the key skills and qualifications needed to thrive as a data analyst in computer science?

To thrive as a Data Analyst in Computer Science, you need strong analytical skills, proficiency in statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis tools such as SQL, Python, R, and data visualization platforms like Tableau or Power BI, as well as experience with database systems, are typically required. Attention to detail, problem-solving abilities, and effective communication help data analysts translate complex data into actionable insights for stakeholders. These skills are crucial for accurately interpreting data trends, supporting business decisions, and driving organizational growth.

How does a data analyst with a computer science background typically collaborate with other departments within a company?

Data Analysts with a computer science background often work closely with teams such as marketing, product development, and IT to translate raw data into actionable insights. They may participate in cross-functional meetings to understand business goals, provide data-driven recommendations, and help automate data collection processes. Strong communication skills are essential, as analysts must explain technical findings in a way that non-technical stakeholders can understand. This collaborative environment not only broadens their impact but also exposes them to various aspects of the business, fostering professional growth.

Can I be a data analyst with computer science?

Yes, a background in computer science provides a strong foundation for a data analyst role, as it covers programming, data structures, and problem-solving skills. Data analysts often use tools like SQL, Excel, and statistical software, and a knowledge of programming languages such as Python or R is beneficial for data manipulation and analysis.

What cities near Mooresville, NC are hiring for Data Analyst Computer Science jobs?

Cities near Mooresville, NC with the most Data Analyst Computer Science job openings:

Data Analyst

BizTech Staffing

Charlotte, NC โ€ข On-site

Other

Re-posted 17 hours ago


Job description

Position Summary

The Data Analyst is responsible for translating business and client reporting needs into accurate, maintainable data solutions. This role develops and supports SQL Server Reporting Services (SSRS) reports, Power BI reports and dashboards, data views, and the SQL queries and stored procedures that power them. The Data Analyst serves as a consultative partner to internal teams and clients, using structured discovery and analytical judgment to identify the underlying business need rather than simply reproducing the initial request. The position also promotes trusted data, reusable reporting assets, clear documentation, and scalable reporting practices across the organization.

Essential Duties and Responsibilities

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  • Meet directly with internal stakeholders and clients to understand reporting requests, clarify objectives, identify the decisions the report must support, and determine the root business need before proposing a solution.
  • Work with data housed in Microsoft Fabric (lakehouse, warehouse, or semantic models) to support scalable analytics
  • Design, create, enhance, and maintain Power BI semantic models, reports, dashboards, visualizations, measures, and data transformations using appropriate data modeling and DAX practices.
  • Design, create, enhance, test, deploy, and maintain SSRS reports, including report parameters, expressions, datasets, subscriptions, and export-ready layouts.
  • Write, review, troubleshoot, and optimize complex SQL queries, views, functions, and stored procedures used to populate reports, dashboards, application data views, and analytical datasets.
  • Collaborate with data engineering and systems teams to improve data quality, modeling, and performance
  • Evaluate whether a request should be addressed through an existing report, an enhancement, a new report, a dashboard, a data extract, or a change to the underlying data structure, and recommend the most sustainable option.
  • Translate business requirements into clear reporting specifications, data definitions, acceptance criteria, mockups, and validation steps before development begins.
  • Validate report results against source systems and business rules; investigate discrepancies, identify root causes, and coordinate correction of data, logic, or process issues.
  • Partner with Data Operations, Product, Client Experience, Sales, Finance, Marketing, IT, and other teams to create consistent definitions, governed metrics, and reusable reporting solutions.
  • Maintain and improve existing client-facing and internal reports while minimizing duplicate logic, one-off solutions, and unsupported reporting dependencies.
  • Analyze report performance and SQL execution plans; tune queries, stored procedures, datasets, and report designs to improve reliability and response time.
  • Create and maintain documentation for reports, datasets, stored procedures, data views, business rules, source-to-report mappings, and support procedures.
  • Manage assigned reporting requests through discovery, prioritization, development, testing, stakeholder review, deployment, and post-release support.
  • Communicate technical findings, constraints, tradeoffs, and recommendations clearly to both technical and non-technical audiences, including clients and leadership.
  • Support the organizationโ€™s transition toward modern analytics and data-platform capabilities by contributing to standardized data models, self-service reporting, and Microsoft data technologies.
  • Maintain confidentiality of sensitive company and client information and perform other duties as assigned.

Supervisory Responsibilities

This position does not have supervisory responsibilities.

Education

Required: Bachelorโ€™s degree in Data Analytics, Computer Science, Information Systems, Business Analytics, Statistics, Mathematics, Finance, or a related field, or an equivalent combination of education and relevant experience.

Preferred: Three to five years of experience in data analysis, business intelligence, report development, or database reporting in a client-facing or business-facing environment.

Skills/Experience

  • Required: Strong SQL Server experience, including the ability to independently create, modify, troubleshoot, and optimize complex queries, views, functions, and stored procedures.
  • Required: Hands-on experience creating and maintaining SQL Server Reporting Services (SSRS) reports, including datasets, parameters, expressions, grouping, drill-through behavior, and subscriptions.
  • Required: Hands-on experience creating and maintaining Microsoft Power BI reports and dashboards, including data modeling, Power Query, DAX measures, relationships, filters, and publishing practices.
  • Required: Experience working with modern data platforms such as Microsoft Fabric (or similar technologies)
  • Required: Demonstrated ability to lead requirements-discovery conversations with clients and business stakeholders, ask effective follow-up questions, and identify the underlying problem, decision, or outcome behind a reporting request.
  • Required: Ability to translate business needs into clear technical requirements, report specifications, data definitions, acceptance criteria, and validation plans.
  • Required: Strong analytical and critical-thinking skills, including the ability to challenge assumptions, reconcile conflicting requirements, and recommend practical alternatives.
  • Required: Experience validating report output against source data and business rules and diagnosing data-quality, logic, or integration issues.
  • Required: Ability to design reports and dashboards that communicate information clearly and support effective business decisions, rather than simply displaying available data.
  • Required: Strong written and verbal communication skills with the ability to explain technical concepts, data limitations, and solution tradeoffs to non-technical audiences and clients.
  • Required: Strong customer-service and stakeholder-management skills, including the ability to set expectations, manage scope, and professionally redirect requests toward a better solution.
  • Required: Ability to work independently, manage multiple reporting requests, document progress, and escalate risks or unresolved decisions appropriately.
  • Required: Strong attention to detail and a high degree of accuracy in report logic, calculations, filters, formatting, and data presentation.
  • Required: Experience with source control, structured testing, deployment practices, and change management for reports and database objects.
  • Required: Proficiency in Microsoft Excel, including PivotTables, Power Query, lookup functions, and data reconciliation techniques.
  • Required: Ability to maintain confidentiality and exercise sound judgment when handling sensitive company, employee, financial, and client information.
  • Required: Proficiency in Microsoft Office and collaboration tools.
  • Preferred: Experience with Microsoft Fabric, Azure data services, data warehouses or lakehouses, ETL/ELT processes, and governed semantic models.
  • Preferred: Experience reporting from ERP, CRM, and enterprise application platforms, particularly Microsoft Dynamics 365, Business Central, or similar systems.
  • Preferred: Experience supporting multi-tenant SaaS applications, client-specific reporting configurations, APIs, or legacy enterprise systems such as IBM i/AS400.