Introduction

A dynamic company in Lynnwood Glen that specialises in leveraging data for business intelligence and decision-making is seeking a skilled Data Analyst to join their team. The company values accuracy, analytical thinking, and a data-driven approach to problem-solving.

Job Purpose

As a Data Analyst, you will be responsible for analysing data to provide actionable insights, creating business intelligence (BI) reports, and supporting data-driven decision-making processes. This is a fantastic opportunity for a professional with a keen eye for detail and a passion for turning data into impactful strategies.

Minimum Education (Advantageous but Not Essential)

• While a formal qualification is not required, a degree in:

• Information Science
• Data Analytics
• Computer Science
• or a related field would be advantageous.

Minimum Applicable Experience (Years)

• At least 2 years of experience in a Data Analyst role.

Requirements (Essential)

• Proficiency in business intelligence tools (BI) and a strong understanding of data visualization techniques.
• Ability to manage and analyze large datasets efficiently.
• Strong problem-solving and analytical skills to interpret complex data sets.
• Excellent communication skills for presenting findings to stakeholders.
• Comfortable working in an office-based role.

Requirements (Advantageous)

• Experience with SQL for querying and managing databases.
• Familiarity with scripting languages like Python or R for advanced analytics.

Responsibilities

• Analyze large data sets to identify trends, patterns, and opportunities for business growth.
• Develop and maintain BI dashboards and reports to track key performance indicators (KPIs).
• Collaborate with various departments to understand their data needs and provide actionable insights.
• Conduct data cleaning, validation, and preprocessing to ensure data accuracy and consistency.
• Present findings and recommendations to management in a clear and concise manner.
• Stay updated with the latest trends and best practices in data analytics and business intelligence.

Remuneration

Market-related