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Data Analyst

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Norstella

Jul 18, 2024

Applications are closed

  • Job
    Full-time
    Junior & Mid Level
  • Data
  • New York

Requirements

  • Bachelor's degree in a quantitative field such as Computer Science, Statistics, Mathematics, or related field; advanced degree preferred.
  • 2-3+ years of experience in a data driven role.
  • Strong proficiency in coding languages such as Python, R, or SQL, with experience working with large datasets and complex data structures.
  • Solid understanding of statistical analysis, machine learning techniques, and data visualization methods.
  • Experience with life science consulting or pharmaceutical industry preferred.
  • Demonstrated ability to work independently and collaboratively in a fast-paced environment, managing multiple priorities and deadlines effectively.
  • Excellent communication skills with the ability to translate complex technical concepts into clear and actionable insights for non-technical stakeholders.
  • Familiarity with visualization tools such as Power BI or Tableau is a plus.
  • Experience working with real-world data (RWD) and knowledge of healthcare data sources and methodologies is desirable.
  • Strong problem-solving skills and attention to detail, with a commitment to producing high-quality, accurate results.
  • Ability to adapt to changing priorities and business needs, with a proactive and flexible approach to problem-solving.
  • Commitment to continuous learning and professional development in the field of data science and life sciences consulting.

Responsibilities

  • Utilize advanced coding and data manipulation skills to manage and analyze large datasets efficiently.
  • Perform a wide range of analytics tasks, including predictive modeling, machine learning, and statistical analysis, to derive actionable insights from data.
  • Develop and maintain data structures and databases to support ongoing projects and reporting needs.
  • Generate insights and recommendations from data analysis to inform decision-making processes within the life science domain.
  • Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
  • Contribute to the development of new products and features for life science clients by providing data-driven insights and recommendations.
  • Build and maintain reports and dashboards using visualization tools like Power BI to communicate findings effectively.
  • Estimate and prioritize tasks related to product development, consulting support, and data analysis.
  • Assist with various consulting support tasks, including extract delivery, additional analysis, and product support.
  • Conduct research and analysis on real-world data (RWD) to inform strategic decision-making and improve understanding of market dynamics.

FAQs

What is the primary role of the Data Analyst in this position?

The primary role of the Data Analyst is to support product development, client insights, and consulting projects by handling large datasets, performing advanced analytics, and collaborating with team members to drive business growth through data-driven insights in the healthcare industry.

What are the key responsibilities of a Data Analyst in this job?

Key responsibilities include managing and analyzing large datasets, performing predictive modeling and statistical analysis, developing data structures and databases, generating actionable insights, collaborating with cross-functional teams, contributing to product development, building reports and dashboards, and conducting research on real-world data.

What educational background is required for this Data Analyst position?

A Bachelor's degree in a quantitative field such as Computer Science, Statistics, Mathematics, or a related field is required; an advanced degree is preferred.

How much experience is needed for this role?

The position requires 2-3+ years of experience in a data-driven role.

What programming languages should applicants be proficient in for this job?

Applicants should have strong proficiency in coding languages such as Python, R, or SQL, coupled with experience working with large datasets and complex data structures.

Is experience in the life sciences or pharmaceutical industry important for this role?

Yes, experience with life science consulting or the pharmaceutical industry is preferred for this position.

What types of analytics tasks will the Data Analyst perform?

The Data Analyst will perform predictive modeling, machine learning, statistical analysis, and data visualization to derive actionable insights from data.

What tools will the Data Analyst use for data visualization?

The Data Analyst will utilize visualization tools such as Power BI or Tableau to build and maintain reports and communicate findings effectively.

What skills are important for effective communication in this role?

Excellent communication skills are essential, particularly the ability to translate complex technical concepts into clear and actionable insights for non-technical stakeholders.

How should candidates demonstrate their problem-solving abilities?

Candidates should demonstrate strong problem-solving skills and attention to detail, highlighting their commitment to producing high-quality, accurate results, and their ability to adapt to changing priorities and business needs.

Is continuous learning valued in this Data Analyst position?

Yes, there is a strong commitment to continuous learning and professional development in the field of data science and life sciences consulting.

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Norstella

We're on a mission to improve patient access to therapy.

Technology
Industry
1001-5000
Employees

Mission & Purpose

Norstella is a group of prominent pharmaceutical solutions providers – Citeline, Evaluate, MMIT, Panalgo, The Dedham Group – that help clients navigate complexities at each step of the drug development life cycle, from pipeline to patient.