Data Analyst - 4 LOCS

Job Description

Job Title: Data Analyst

Position Overview:

We are seeking a detail-oriented and analytical Data Analyst to join our team. The Data Analyst will be responsible for collecting, analyzing, and interpreting data to provide insights and support decision-making across the organization. The successful candidate will possess strong analytical skills, proficiency in data analysis tools, and a commitment to delivering high-quality results.

Responsibilities:

Collect, clean, and validate data from multiple sources to ensure accuracy and completeness.

Analyze data using statistical methods, data mining techniques, and visualization tools to identify trends, patterns, and insights.

Prepare reports, dashboards, and presentations to communicate findings and recommendations to stakeholders.

Collaborate with business stakeholders to understand requirements and define key performance indicators (KPIs) and metrics.

Develop and maintain data models, databases, and data dictionaries to support data analysis and reporting activities.

Conduct ad-hoc analysis and data mining to answer business questions and solve problems.

Monitor data quality and integrity, and implement data quality controls and best practices.

Stay current with data analytics technologies and best practices to continuously improve data analysis capabilities.

Provide training and support to end users on data analysis tools and techniques.

Participate in cross-functional projects and initiatives to support organizational goals.

Requirements:

Bachelor's degree in Statistics, Mathematics, Computer Science, or related field.

years of experience in data analysis or related role.

Proficiency in data analysis tools and programming languages such as SQL, Python, R, or Excel.

Strong analytical and problem-solving skills.

Experience with data visualization tools such as Tableau, Power BI, or QlikView.

Excellent communication and interpersonal skills, with the ability to communicate complex technical concepts to non-technical stakeholders.

Ability to work independently and manage multiple priorities in a fast-paced environment.

Attention to detail and commitment to data accuracy and integrity.

Preferred Qualifications:

Master's degree in Data Science, Business Analytics, or related field.

Experience with big data technologies such as Hadoop, Spark, or NoSQL databases.

Experience with machine learning techniques and algorithms.

Certification in data analytics or related area (e.g., Certified Analytics Professional, Microsoft Certified: Data Analyst Associate).

Knowledge of industry-specific data analysis techniques and methodologies.