Data Analyst

Sorry, this job was removed at 09:58 p.m. (UTC) on Tuesday, Nov 03, 2026
Hiring Remotely in NC, United States
Remote
30-35 Annually
Entry level
Real Estate
The Role
Collects, cleans, validates, analyzes, and interprets data to support business decisions. Develops reports, dashboards, presentations, and performance measurements; identifies trends; and translates complex information into actionable recommendations. Collaborates with technical and non-technical stakeholders, communicates findings clearly, maintains data accuracy, and supports multiple analytics projects and deadlines.
Summary Generated by Built In

We are seeking a detail-oriented and analytical Data Analyst to collect, organize, interpret, and present data that supports business decision-making. The Data Analyst will work with cross-functional teams to identify trends, measure performance, develop reports, and translate complex information into meaningful insights.

The ideal candidate has strong analytical and problem-solving skills, an understanding of data management principles, and the ability to communicate findings clearly to both technical and non-technical audiences. This role requires curiosity, accuracy, and the ability to turn data into actionable recommendations that support organizational goals.

Qualifications and Requirements

  • Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Economics, Business Analytics, or a related field preferred.
  • Strong knowledge of Microsoft Excel or Google Sheets.
  • Working knowledge of SQL and relational databases.
  • Familiarity with data visualization and reporting tools such as Power BI, Tableau, or Looker.
  • Strong analytical, quantitative, and problem-solving abilities.
  • Excellent attention to detail and commitment to data accuracy.
  • Ability to interpret data and communicate findings clearly.
  • Strong written and verbal communication skills.
  • Ability to manage multiple projects and meet deadlines.
  • Ability to work independently and collaboratively with cross-functional teams.

Required Skills and Competencies

  • Data collection, cleaning, and validation
  • Data analysis and interpretation
  • SQL querying and database fundamentals
  • Microsoft Excel and spreadsheet analysis
  • Data visualization and dashboard development
  • Reporting and presentation development
  • Statistical and quantitative analysis
  • Critical thinking and problem-solving
  • KPI tracking and performance measurement
  • Attention to detail and data accuracy
  • Business communication and stakeholder collaboration
  • Time management and project coordination

Preferred Qualifications

  • Master's degree in Data Analytics, Statistics, Business Analytics, Computer Science, or a related discipline.
  • Experience with Python or R for data analysis and automation.
  • Familiarity with data warehousing, ETL processes, and data pipelines.
  • Experience with advanced Excel functions, pivot tables, and Power Query.
  • Knowledge of statistical methods, forecasting, and trend analysis.
  • Familiarity with cloud data platforms such as Snowflake, BigQuery, or Amazon Redshift.
  • Experience working with CRM, ERP, or enterprise reporting systems.
  • Previous experience preparing analytical presentations for management or business stakeholders.

What We Offer

  • Competitive compensation based on experience and qualifications.
  • Opportunities for professional development and technical training.
  • Access to analytical tools and technology platforms.
  • Collaborative and supportive work environment.
  • Opportunities to work on meaningful business and analytics projects.
  • Career growth opportunities within data analytics and business intelligence.

Apply Today

If you are passionate about working with data, solving problems, and helping organizations make informed decisions, we encourage you to apply. Join our team as a Data Analyst and turn information into insights that drive business performance and growth.

Skills Required

  • Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Economics, Business Analytics, or a related field
  • Strong knowledge of Microsoft Excel or Google Sheets
  • Working knowledge of SQL and relational databases
  • Familiarity with Power BI, Tableau, or Looker
  • Strong analytical, quantitative, and problem-solving abilities
  • Excellent attention to detail and commitment to data accuracy
  • Ability to interpret data and communicate findings clearly
  • Strong written and verbal communication skills
  • Ability to manage multiple projects and meet deadlines
  • Ability to work independently and collaboratively with cross-functional teams
  • Data collection, cleaning, and validation
  • Data analysis and interpretation
  • SQL querying and database fundamentals
  • Data visualization and dashboard development
  • Reporting and presentation development
  • Statistical and quantitative analysis
  • KPI tracking and performance measurement
  • Business communication and stakeholder collaboration
  • Time management and project coordination
  • Master's degree in Data Analytics, Statistics, Business Analytics, Computer Science, or a related discipline
  • Experience with Python or R for data analysis and automation
  • Familiarity with data warehousing, ETL processes, and data pipelines
  • Experience with advanced Excel functions, pivot tables, and Power Query
  • Knowledge of statistical methods, forecasting, and trend analysis
  • Familiarity with Snowflake, BigQuery, or Amazon Redshift
  • Experience working with CRM, ERP, or enterprise reporting systems
  • Experience preparing analytical presentations for management or business stakeholders
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The Company
18 Employees

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