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redcentric

Data Analyst

  • Duluth
  • Part time, Full time
  • $30 to $35 per hour

About the Role

Redcentric is seeking a detail-oriented and analytical Data Analyst to join our team. In this role, you will play a critical part in transforming complex data into actionable insights that drive informed business decisions. If you have a passion for data, strong problem-solving skills, and the ability to communicate findings effectively, this opportunity is for you.

As a Data Analyst at Redcentric, you will work closely with cross-functional teams to collect, analyze, and interpret data, helping to optimize processes and support strategic initiatives.

Key Objectives

  • Analyze large datasets to identify trends, patterns, and opportunities.
  • Deliver clear and concise reports and visualizations to guide business strategies.
  • Collaborate with stakeholders to understand data needs and provide actionable insights.
  • Ensure data accuracy and integrity through rigorous validation and quality checks.

Responsibilities

  • Collect, clean, and organize data from multiple sources to ensure consistency and reliability.
  • Develop and maintain dashboards, reports, and data visualization tools.
  • Perform statistical analysis and predictive modeling to support business objectives.
  • Work with IT and business units to identify data requirements and improve data collection processes.
  • Communicate findings and recommendations clearly to both technical and non-technical audiences.
  • Monitor key performance indicators and provide ongoing analysis to track progress and identify areas for improvement.

Requirements

  • Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, or a related field.
  • Proven experience as a Data Analyst or in a similar analytical role.
  • Strong proficiency in SQL for data querying and manipulation.
  • Experience with data visualization tools such as Tableau, Power BI, or similar platforms.
  • Knowledge of statistical software and programming languages like Python or R.
  • Excellent analytical thinking and problem-solving skills.
  • Ability to communicate complex data insights clearly and effectively.
  • Attention to detail and a commitment to data accuracy.

Preferred Qualifications

  • Experience working in the technology or IT services sector.
  • Familiarity with cloud data platforms and big data technologies.
  • Understanding of business intelligence and data warehousing concepts.

Benefits

  • Competitive salary and performance-based bonuses.
  • Comprehensive health, dental, and vision insurance plans.
  • Generous paid time off and flexible working arrangements.
  • Opportunities for professional development and career growth.
  • Collaborative and inclusive work environment.
  • Access to cutting-edge tools and technologies.

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