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Data Reporting Jobs in Raleigh, NC (NOW HIRING)

This role contributes to the Department's mission by analyzing, validating and reporting on housing and homelessness data used to inform programs, services and policy decisions across the housing ...

This role contributes to the Department's mission by analyzing, validating and reporting on housing and homelessness data used to inform programs, services and policy decisions across the housing ...

Reporting & Report Development - Design and build complex custom reports using MSSQL queries for internal and external customers - Develop and maintain deep expertise in CMTS's data model to support ...

New

Overview Serves as the primary Decision Support lead for clinical service line & patient financial data reporting & analysis. Analyzes clinical, financial, and operational data to optimize clinical ...

AND Experience in verifying accuracy of data compiled and creating reports. An equivalent combination of relevant education, training, and experience which provides the knowledge, skills, and ...

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Data Reporting information

See Raleigh, NC salary details

$10

$37

$67

How much do data reporting jobs pay per hour?

As of Jul 12, 2026, the average hourly pay for data reporting in Raleigh, NC is $37.06, according to ZipRecruiter salary data. Most workers in this role earn between $24.16 and $46.93 per hour, depending on experience, location, and employer.

What is data reporting?

Data reporting is the process of collecting, organizing, and presenting data in a structured format, such as charts, tables, or dashboards, to communicate key information and insights. Professionals in data reporting analyze raw data, identify trends, and create reports that help organizations make informed decisions. Their work often involves using specialized software tools to generate reports that are accurate, timely, and tailored to the needs of stakeholders.

What are the key skills and qualifications needed to thrive as a Data Reporting professional, and why are they important?

To thrive as a Data Reporting professional, you need strong analytical skills, attention to detail, and proficiency in data interpretation, often supported by a degree in statistics, mathematics, or a related field. Familiarity with data visualization tools (such as Tableau or Power BI), advanced Excel functions, and knowledge of SQL or similar database systems are typically required. Excellent communication, problem-solving, and time management skills help you convey insights clearly and meet deadlines. These competencies are essential for transforming raw data into actionable information that supports organizational decision-making.

What are some common challenges faced by professionals in Data Reporting roles, and how can they be addressed?

Professionals in Data Reporting often encounter challenges such as ensuring data accuracy, meeting tight deadlines, and communicating complex findings to non-technical stakeholders. Addressing these challenges typically involves establishing robust data validation processes, prioritizing tasks based on reporting deadlines, and developing strong data visualization and storytelling skills. Collaborating closely with data analysts, IT teams, and business units also helps ensure that reports are both accurate and actionable.

Is 40 too late for data science?

Data reporting roles in data science often value skills and experience over age, and many professionals transition into the field later in life. Gaining proficiency in tools like SQL, Python, or R, along with relevant certifications, can help establish credibility regardless of age. Age should not be a barrier to entering data science or related roles if you develop the necessary skills and experience.

What is the difference between Data Reporting vs Data Analysis?

AspectData ReportingData Analysis
Primary FocusPresenting data in reports and dashboardsInterpreting data to find insights
Skills RequiredData visualization, reporting tools, basic SQLStatistical analysis, data mining, critical thinking
Work EnvironmentBusiness intelligence teams, reporting departmentsData science teams, analytics departments
CertificationsExcel, Tableau, Power BISQL, Python, R certifications

While Data Reporting focuses on creating clear, accessible reports for decision-makers, Data Analysis involves exploring data to uncover trends and insights. Both roles require familiarity with data tools, but Data Analysis demands deeper statistical and analytical skills. Organizations often use both roles together to support data-driven decision-making.

What jobs make $1,000,000 a year?

In data reporting, high-level roles such as Chief Data Officer or Data Analytics Director can reach or exceed $1,000,000 annually, especially in large corporations or with performance bonuses. These positions typically require extensive experience, advanced skills in data management and analytics tools, and often involve leadership responsibilities. Most data reporting roles at this level are part of executive teams with compensation packages that include salary, bonuses, and stock options.

Will AI replace data analyst?

AI is transforming data analysis by automating routine tasks and enhancing data processing capabilities, but it is unlikely to fully replace data analysts. Analysts' skills in interpreting insights, understanding business context, and communicating findings remain essential, and they will increasingly work alongside AI tools to improve decision-making.

What is a data reporting job?

A data reporting job involves collecting, analyzing, and presenting data to support business decision-making. Professionals in this role often use tools like Excel, SQL, or data visualization software to create reports and dashboards that communicate insights clearly and efficiently.
What cities near Raleigh, NC are hiring for Data Reporting jobs? Cities near Raleigh, NC with the most Data Reporting job openings:
Infographic showing various Data Reporting job openings in Raleigh, NC as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $77,082 per year, or $37.1 per hour.
Data Analyst - Housing

Data Analyst - Housing

Wake County Government

Raleigh, NC • On-site

Other

Re-posted 3 days ago


Wake County rating

8.5

Company rating: 8.5 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

154th of 689 rated public administrative organizations


Job description

The Housing Data Analyst works within the Research, Data, and Systems (RDS) division within Wake County's Department of Housing Affordability and Community Revitalization (HACR). This role contributes to the Department's mission by analyzing, validating and reporting on housing and homelessness data used to inform programs, services and policy decisions across the housing continuum.

HACR is hiring two Housing Data Analysts, each with a distinct programmatic focus:

  • Housing Development & Land Use
  • Homelessness Response & System Performance

While both positions share core analytical responsibilities and standards, each will partner closely with different program teams and subject matter experts to deliver data-driven insights tailored to their focus area.

The Data Analyst works with housing program staff, technical partners and community stakeholders to translate complex data into clear, actionable insights. This includes developing reports, dashboards and visualizations; supporting performance monitoring and regulatory reporting; and helping ensure data quality across housing-related systems such as HMIS, GIS platforms and other program databases. The position operates independently on assigned projects while adhering to established analytics standards, data quality practices and governance guidelines.

Key Responsibilities:

  • Create and publish reports, Power BI dashboards and visualizations for housing programs and partners
  • Design and maintain interactive Power BI dashboards to streamline housing processes
  • Analyze housing and homelessness data (HMIS and GIS) to identify trends and gaps
  • Support program evaluation through data cleaning, validation and integration
  • Prepare, validate and document data for HUD, ESG, HOME and other grant reporting
  • Monitor data quality and promote consistent data collection across housing systems
  • Translate program and landlord engagement reporting needs into analytical solutions
  • Maintain documentation for data sources, reports, dashboards and workflows
  • Collaborate with IT, vendors and internal partners to resolve data/reporting issues
  • Participate in training and knowledge sharing to support consistent data use

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