Katalyst
Katalyst

60 Katalyst Data Analyst Jobs Hiring Near You

The Clinical Data Manager (CDM) is responsible for the oversight, integrity, and quality of ... Excellent organizational, analytical, and problem-solving skills. Strong communication and ...

Senior Business Analyst

South Plainfield, NJ

$96.70K - $124.90K/yr

Sampling Plan Data Download - Facilitate data extraction for sampling plans. * Conduct gap analysis between current and target state processes. * Collaborate with SAP and LabVantage technical teams ...

Manage end-to-end delivery of data management services concurrently for single/multi-service ... Excellent problem-solving, analytical, and communication skills * Ability to work collaboratively ...

Lead CDM activities for assigned clinical studies, ensuring data quality and compliance with study ... Familiarity with additional CDM tools and analytics platforms preferred. * Advanced proficiency in ...

The Business Analyst (Integration) acts as a key interface between business and IT functions within ... data models, applications, and technologies in alignment with Informatics strategies and ...

Lead CDM activities for assigned clinical studies, ensuring data quality and compliance with study ... Familiarity with additional CDM tools and analytics platforms preferred. * Advanced proficiency in ...

AI Engineer - Clinical Data Science

NY

$126.10K - $151.40K/yr

* We are looking for an AI Engineer to join our Data Science team, building AI-powered solutions for clinical data processing and analysis within a major pharmaceutical organization. You will design ...

Lead clinical data management activities for pivotal trials, ensuring data quality and integrity ... Participate in study document reviews, including protocols and statistical analysis plans * Ensure ...

Lead and manage clinical data management activities for oncology clinical trials, ensuring ... Strong analytical and problem-solving skills with meticulous attention to detail. * Outstanding ...

Lead and manage clinical data management activities for oncology clinical trials, ensuring ... Strong analytical and problem-solving skills with meticulous attention to detail. * Outstanding ...

Lead and manage clinical data management activities for oncology clinical trials, ensuring ... Strong analytical and problem-solving skills with meticulous attention to detail. * Outstanding ...

Lead and manage clinical data management activities for oncology clinical trials, ensuring ... Strong analytical and problem-solving skills with meticulous attention to detail. * Outstanding ...

Lead and manage clinical data management activities for oncology clinical trials, ensuring ... Strong analytical and problem-solving skills with meticulous attention to detail. * Outstanding ...

Lead and manage clinical data management activities for oncology clinical trials, ensuring ... Strong analytical and problem-solving skills with meticulous attention to detail. * Outstanding ...

Showing results 41-60

Katalyst Jobs Information

What are the key skills and qualifications needed to thrive as a Data Analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are some common challenges Data Analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What does a Data Analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

How much does an entry level data analyst make?

Entry-level data analysts typically earn between $55,000 and $70,000 annually, depending on the industry and location. Starting salaries may be higher with relevant skills in SQL, Excel, and data visualization tools like Tableau or Power BI.

What jobs make $3,000 a month without a degree?

Data analysts can sometimes earn around $3,000 per month with relevant skills in data visualization, Excel, and basic statistical tools, even without a formal degree. Entry-level roles or freelance work in data analysis, digital marketing, or customer support may also reach this income level, especially with experience and certifications. However, salaries vary based on location, industry, and skill level.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace data analysts in the foreseeable future.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

What is it like to work at Katalyst?

Katalyst appears to be a collaborative and innovative company that values creativity and teamwork, fostering an environment where employees can share ideas and work together to achieve common goals.

The company's structure and work environment seem to be designed to support a dynamic and agile approach, with a focus on delivering high-quality results and driving business growth. Katalyst's mission is centered around helping businesses and organizations succeed through strategic partnerships and tailored solutions.

Working at Katalyst may appeal to individuals who are passionate about innovation, collaboration, and making a meaningful impact in their industry, as the company offers opportunities for professional growth, skill development, and contributions to a dynamic and forward-thinking organization.
What are the most popular categories at Katalyst?
Clinical Data Manager

Other

Posted 26 days ago


Job description

Job Description:
The Clinical Data Manager (CDM) is responsible for the oversight, integrity, and quality of clinical trial data from collection through database lock. The CDM ensures that data is accurate, consistent, and meets regulatory and protocol-specific requirements. This role collaborates closely with cross-functional teams, including Clinical Operations, Biostatistics, Medical Writing, and Regulatory Affairs, to support timely and compliant study execution.

Responsibilities:

  • Design and review Case Report Forms (CRFs) and Electronic Data Capture (EDC) systems to ensure accurate and complete data capture aligned with the study protocol.
  • Develop and maintain data management plans (DMPs), data validation specifications, and CRF completion guidelines.
  • Oversee data cleaning activities, including the generation, review, and resolution of data queries in collaboration with clinical sites and study teams.
  • Perform ongoing data reviews to identify trends, inconsistencies, or protocol deviations.
  • Ensure adherence to data standards (e.g., CDISC, SDTM) and regulatory requirements (e.g., FDA, ICH-GCP).
  • Manage database lock activities and contribute to the preparation of clinical study reports (CSRs).
  • Serve as the primary point of contact for data management vendors and oversee their deliverables.
  • Participate in study team meetings and provide status updates related to data quality and timelines.
  • Support audit readiness and participate in regulatory inspections when required.

Requirements:

  • Bachelor's degree in Life Sciences, Computer Science, Health Informatics, or related field. Advanced degree is a plus.
  • Minimum of 3-5 years of experience in clinical data management within a pharmaceutical, biotech, or CRO environment.
  • Proficiency in EDC platforms (e.g., Medidata Rave, Oracle Inform , Veeva, Redcap).
  • Strong understanding of ICH-GCP, FDA regulations, and CDISC standards.
  • Experience with data listings, query management, edit check programming, and coding dictionaries (e.g., MedDRA, WHO Drug).
  • Excellent organizational, analytical, and problem-solving skills. Strong communication and collaboration skills across cross-functional teams.
  • Experience working on global, multi-site clinical trials preferred.