Data analyst:: w2 role

About us:

Haramain Systems Inc. is a leading technology solutions provider, guiding enterprises in their digital transformation journey and providing cutting-edge technology solutions to address complex business problems. We specialize in cloud computing, data science, and business intelligence, serving a wide array of industries across the globe. Haramain Systems’ success is founded on a commitment to quality and continuous improvement.

The Opportunity:

We are seeking a Mid-Level Data Analyst to join our team! In this W2 role, you'll contribute to the ongoing evolution of our data-driven decision-making culture. This collaborative position demands strong skill in data interpretation and communication with team members, stakeholders, department heads, and executives to ensure organized and efficient data management.

Job Responsibilities:

• Analyzing and interpreting complex data sets and converting them into insights that drive business decisions.
• Identifying, analyzing, and interpreting trends or patterns in complex data sets.
• Collaborating with cross-functional teams to provide analysis from various data sources and delivering data-driven insights to support decision making.
• Developing dashboards and reports to visualize data.
• Ensuring data quality and integrity by cross-verification, testing and debugging.

Desired Qualifications:

• A minimum of 3-5 years of experience in a similar data analysis role.
• A Bachelor's degree in Statistics, Computer Science, Business Administration or a similar field.
• Proficiency in data analysis tools and languages such as SQL, Python or R.
• Strong knowledge of data visualization tools such as Tableau or PowerBI.
• Excellent communication skills and the ability to visualize and report data findings creatively in a variety of formats to various stakeholders.

Nice-to-Haves:

• A Master's degree in a data-focused field.
• Experience in machine learning algorithms and predictive modeling
• Experience in cloud-computing technologies such as AWS, Google Cloud or Azure.
• Familiarity with project management methodologies such as Agile or Scrum.
• Certification in data science or a related discipline.