The Data Analyst supports client business processes and operations activities to ensure on-time and high-quality deliverables. Data Analyst combines best-in-class operational and analytic skills with strong problem-solving and communication abilities to projects, solving operational and analytical business problems. You will collaborate with and work closely with Senior Data Analyst & Operations Delivery Lead to deliver operational items.
Essential functions of the job include but are not limited to:
- 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.
Qualifications:
Minimum Required -
- 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)
Preferred:
- Masters in these disciplines OR MBA/PGDM/Equivalent
- Product development/ management/operations experience preferred
- US Healthcare Expertise
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Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law. © 2020 Precision Medicine Group, LLC
If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at [email protected].
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What We Do
We founded Precision Medicine Group in 2012 because we believed there was a transformational opportunity to improve the process of bringing new drugs to market. It involves utilizing technology, data, and human expertise. It is a big challenge that requires diverse talents. Our model involves both nurturing and investing organically and acquiring capabilities that we do not have but critically need. Our core executive team is anchored to this model, building life science services that address fundamental changes in healthcare that are necessary for health and outcomes improvement.
