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Operations Data Specialist

Job description

When joining PerkinElmer, you select an experienced and trusted leader in scientific solutions, with the support of a global service network and distribution centers, providing the right solution, at the right time, to meet critical customer needs.  With over an 80+ year legacy of advancing science and a mission of innovating for a healthier world, our dedicated team collaborates closely with commercial, government, academic and healthcare customers to deliver our broad portfolio of analytical solutions, and OneSource services.

Job Title

Operations Data Specialist


Location(s)

India - Remote

Job Description

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Data Collection and Analysis:

• Collect and analyze data from various sources to identify trends, patterns, and opportunities.

• Collaborate with cross-functional teams to understand business requirements and translate them into

actionable insights.


Dashboard Development:

• Design, create and enhance dashboards to visualize key performance indicators (KPIs) and track

progress against strategic goals.


• Provide regular reports to the Chief of Staff and other stakeholders.

Data Quality Assurance:

• Ensure data accuracy and reliability by implementing quality assurance measures.

• Identify and address data discrepancies or inconsistencies.

Strategic Support:

• Assist in developing and executing strategies to drive value creation within the organization.

• Conduct ad-hoc analyses to support decision-making processes.
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Communication and Collaboration:

• Effectively communicate data-driven insights to both technical and non-technical stakeholders.

• Collaborate with team members to ensure alignment of data analytics efforts with broader

organizational objectives.


Basic Qualifications

• Bachelor's degree in Data Science, Statistics, Computer Science, or related field.

• Proven experience as a Data Analyst or similar role, preferably within a private equity-backed

environment or consulting firm


• Proficiency in data visualization tools (Power BI preferred) and data analysis and manipulation tools

(Alteryx (preferred), Python).


• Strong analytical and problem-solving skills.

• Excellent communication and presentation abilities.

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