mTek Services is an innovative Mobile Application – a platform which provides an entirely paperless ecosystem for the insurance industry. Our solution allows customers to purchase Insurance directly from the Insurer, file for claims directly from the convenience of their smart device thus increasing efficiency and can capture critical data on claims from geo-located accident scenes.

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.