Data Analyst at mTek Services

Role Overview

• We are looking for a talented Data Analyst to join our team and play a critical role in transforming raw data into actionable insights. As a Data Analyst, you will be responsible for creating and maintaining data pipelines, developing data models, and setting up reporting dashboards to help drive data-informed decision-making across the organization.

Responsibilities

• Design, develop, and maintain data pipelines to collect, process, and organize data from various sources.
• Build information systems and use analytical techniques that enable management to monitor and forecast trends while evaluating risks
• Measure the effectiveness of commercial programs and pricing and suggest opportunities.
• Create, optimize and automate ETL processes to ensure the reliability, accuracy, and timeliness of data.
• Collaborate with cross-functional teams to understand data requirements and design data models to support business needs.
• Develop, implement, and maintain reporting dashboards using visualization tools such as PowerBI, Qlik, Tableau, or others
• Automate reporting emails to deliver key metrics and insights to stakeholders on a regular basis.
• Write complex SQL and MongoDB queries and scripts to extract, transform, and load data efficiently.
• Perform data quality assessments and implement data cleansing and validation procedures.
• Stay up-to-date with industry best practices and emerging technologies in data engineering and analytics.

Qualifications & Skills

• Bachelor’s degree in Computer Science, Information Systems, or a related field (Master’s degree is a plus).
• 3-5 years’ experience in data analytics, business intelligence, data engineering or in a startup or high-growth environment.
• Expert proficiency in MongoDB, SQL and experience with spreadsheet tools.
• Strong knowledge of ETL tools and processes.
• Proficiency in data modelling and database design.
• Familiarity with data visualization tools, such as PowerBI, Qlik, Tableau, or similar.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and data technologies (e.g., Spark) is a plus.