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Data Analyst
redcentric
Salaire
30 $ à 35 $ par heure
Type de poste
Temps partiel, Temps plein
Expérience
0 à 2 ans
Catégorie
Administration / Bureautique / Clérical, Finance, Service clientèle / Centre d'appels
Spécialisation
Analyse Financière, Comptabilité, Gestion du Service Client
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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