Position Overview:

We are seeking a detail-oriented and analytical Associate Data Analyst to join our team. As an Associate Data Analyst, you will play a crucial role in gathering, analyzing, and interpreting data to provide actionable insights that drive informed business decisions. You will collaborate with various teams to ensure data accuracy, perform data cleansing, and assist in creating data-driven reports.

Main Duties & Responsibilities

• Monitor key performance indicators, offer data-driven recommendations, and lobby for the internal resources needed to keep customer growth going.
• Deliver ideas and insights based on both competitive and online analytics.
• Define critical success criteria and establish data-driven and prioritized roadmaps to produce solutions to break down unclear situations.
• Collaborate with internal stakeholders in business development, product development, design, and engineering to develop and implement the most innovative growth ideas.
• Gather, manipulate, analyze, and document raw, complicated data, and then present coherent data stories to business and technical audiences.
• Develop a thorough grasp of user activity patterns and insights, as well as the relationship between engagement measures and conversion rates, customer lifetime value, and financial success.
• Serve as a tactical liaison with the Product Management team to give the most accurate and timely information possible that’ll help drive business decisions.
• Data mining (extraction): continue to manage the regular data extraction processes using the Barbour ABI Application for UK commercial team sales and for any request that arises from the team.
• Data Quality Control (Data preprocessing): Keeping an eye on data quality, identifying any anomalies or discrepancies, and taking the necessary actions to rectify them
• Attending online UK sales meetings to have a better understanding of the market niche.

Requirements

Qualifications, Skills & Experience

• Bachelor’s degree in a relevant field such as Data Science, Statistics, Mathematics, or Computer Science.
• Previous experience in data analysis, data mining, or a related role is advantageous.
• Proficiency in data analysis tools.
• Strong analytical skills with the ability to turn complex data into actionable insights.
• Excellent attention to detail and problem-solving abilities.
• Strong communication skills to effectively convey findings and insights to non-technical stakeholders.
• Ability to work independently and collaboratively in a team environment.

Additional Information:

• Full-time position with opportunities for growth and skill development.
• Dynamic and innovative work environment focused on data-driven decision-making.