Data Analyst

Role Overview

• Ability to understand and clearly communicate client business issues, operating business rules, data, and standard operating procedures.
• Understand, execute, and suggest improvements to pre-defined operational processes.
• Implement process improvements in operational processes and strive to identify such opportunities working with Senior Data Analyst & Operations Delivery Lead.
• Remaining current on new tools, techniques and working models to continually improve/enhance process and design for quick adoption.
• Develop strong understanding of operational processes, data, tools & technology to effectively translate business to technology & vice versa.
• Build subject matter expertise over a period of time and apply it to operational processes.
• Apply quality checks and validations on all deliverables and report back results to the Operations Delivery Lead.
• Execute defined operational models for our clients with standard operating procedures, quality assurance quality checks, governance criteria, roles and responsibilities and assist the Senior Data Analyst & Operations Delivery Lead to define newer more efficient models including detailed documentation.
• Coordinate with multiple stakeholders (could be in different time-zone) of the operational process to ensure smooth delivery to client per pre-existing timelines.
• Assist engineering team to implement new operational procedures and/or improvements to existing operational procedures by providing knowledge about operations and testing the modified procedures.
• Testing new/updated operational procedures to ensure fidelity.
• Coordinate multiple tasks to produce high-quality results.
• Work on multiple client tasks, strengthening analytic, task management and communication skills.
• Collaborate with internal PMG teams to provide all-round value to the firm.
• Keep track of unplanned internal & client tasks stemming from operational projects.
• Carry out secondary research as needed.
• Investigate client questions related to operational deliveries, as needed.

Requirements

• Bachelor’s degree in computer science, Electronics/Communication, Electrical Engineering or related fields.
• 1 – 2 years of experience using data mining languages/tools like SQL (for analysts). Exposure to stored procedures is a plus. Detail orientation, quality consciousness and operational mindset are key qualities expected.
• Experience in Pharmaceuticals, Managed Markets Consulting or Analytics Consulting with broad based experience in, managed care, and/or analytics will be an advantage.
• Experience having worked with people in different time-zones.
• Experience leading the delivery of analytic results to the client (internal or external)

Tech Stack

• SQL

Benefits

• Health insurance
• Retirement plans
• Paid time off
• Flexible work arrangements
• Professional development