Data Analyst

AI Matched Verified Fresh Posting

Data Analyst

Redcentric

April 26, 2026

Location: Houston, Texas, US
Salary: $100,000 - $120,000
Job Type: Full-Time
Seniority Level: Entry-Level

Job Description

About the Role

We are seeking a detail-oriented and analytical Data Analyst to join our team. This role is crucial in transforming raw data into meaningful insights that drive strategic decision-making across the organization. If you have a passion for numbers, problem-solving, and storytelling through data, this opportunity offers a dynamic environment to grow and make a tangible impact.

Key Objectives

  1. Analyze complex datasets to identify trends, patterns, and opportunities.
  2. Develop and maintain dashboards and reports that support business objectives.
  3. Collaborate with cross-functional teams to translate data insights into actionable strategies.
  4. Ensure data accuracy, integrity, and accessibility across multiple platforms.

Responsibilities

  1. Collect, clean, and validate data from various internal and external sources.
  2. Perform exploratory data analysis to uncover insights and support business questions.
  3. Create clear, concise visualizations and reports tailored to different audiences.
  4. Work closely with stakeholders to understand data needs and deliver relevant solutions.
  5. Identify data quality issues and recommend improvements to data collection and storage processes.
  6. Stay current with industry trends and best practices in data analysis and visualization.
  7. Assist in the development and implementation of data governance policies.

Qualifications

  1. Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, or a related field.
  2. Proven experience as a Data Analyst or in a similar analytical role.
  3. Strong proficiency with SQL and experience working with relational databases.
  4. Hands-on experience with data visualization tools such as Tableau, Power BI, or similar platforms.
  5. Solid understanding of statistical methods and data modeling techniques.
  6. Proficiency in Excel and at least one programming language for data analysis (e.g., Python, R).
  7. Excellent communication skills with the ability to explain complex data concepts to non-technical stakeholders.
  8. Detail-oriented mindset with strong problem-solving abilities.

Benefits

  1. Competitive salary and performance-based bonuses.
  2. Comprehensive health, dental, and vision insurance plans.
  3. Flexible work hours and remote work options.
  4. Professional development opportunities and access to training resources.
  5. Collaborative and inclusive company culture.
  6. Generous paid time off and company holidays.


Requirements & Responsibilities

  • Data Science