Katalyst
Katalyst

60 Katalyst Data Analyst Jobs Hiring Near You

* Implement and maintain data integrity controls for HPLC systems (Empower, Chromeleon) in compliance ... Testing & Analysis: * Perform titration-based content uniformity tests per SOPs and pharmacopeial ...

Lead the data quality evaluation by investigating all clinical and operational data, evaluating trends, deviations, using visual analytics tools and ad hoc reports. * Manage high complex studies and ...

Lead the data quality evaluation by investigating all clinical and operational data, evaluating trends, deviations, using visual analytics tools and ad hoc reports. * Manage high complex studies and ...

Provides governance oversight to Data Standards Analyst and Sr Data Standards Analyst to ensure consistency in metadata. * Standards Development - Assist in the development of data standards.

Responsibilities: * Reporting to the Clinical Data Manager, you'll be responsible for the ... logic, analysis of controls for efficiency and effectiveness, and development of quality check ...

Responsibilities: * Reporting to the Clinical Data Manager, you'll be responsible for the ... logic, analysis of controls for efficiency and effectiveness, and development of quality check ...

Responsibilities: * Reporting to the Clinical Data Manager, you'll be responsible for the ... logic, analysis of controls for efficiency and effectiveness, and development of quality check ...

Ensure that clinical data is collected, cleaned, and formatted according to applicable standards for analysis, reporting, and regulatory submissions. * Ensure final datasets meet submission readiness ...

... and data-driven environment. The Business Analyst will work closely with cross-functional ... stakeholders to ensure initiatives align with business objectives, compliance considerations, and ...

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

Requirements: * BS/BA degree with preference in a biological, analytical/data, health related, or computer science field. * 7-10 years related experience in a pharmaceutical or CRO setting. * 5 years ...

Develop and review study protocols, management plans, and statistical analysis documents. * Ensure compliance with GCP, SOPs, and regulatory requirements in data processes. * Perform supplemental ...

The Data Integrity Specialist is responsible for implementing and maintaining data integrity ... analysis, hypothesis testing, and propose CAPAs. * Document OOS investigation narratives and track ...

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

Showing results 21-40

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?
Data integrity Specialist

Data integrity Specialist

Katalyst

Edison, NJ • On-site

Other

Posted 23 days ago


Job description

Job Description:
  • Implement and maintain data integrity controls for HPLC systems (Empower, Chromeleon) in compliance with ALCOA+ principles and regulatory standards (21 CFR Part 11, Annex 11).
  • Review audit trails, monitor user access, and perform periodic data reviews.
  • Lead and coordinate Out-of-Specification (OOS) investigations (Phase I & II), including root cause analysis, hypothesis testing, and CAPA implementation.
  • Perform titration-based content uniformity tests as per SOPs and pharmacopeial guidelines (USP, IP, BP); calculate active ingredient content and assess batch uniformity.
  • Ensure compliance with GLP, GMP, and good documentation practices; maintain validated systems with secure electronic records and audit trails.
Responsibilities:
Data Integrity Compliance:
  • Implement and maintain data integrity controls for HPLC systems (Empower, Chromeleon, etc.).
  • Ensure adherence to ALCOA+ principles and regulatory requirements (21 CFR Part 11, Annex 11).
  • Review audit trails, monitor user access, and perform periodic data reviews.
  • Maintain accurate documentation of chromatograms, integration parameters, and calculations.
OOS Investigation:
  • Lead and coordinate Out-of-Specification (OOS) investigations (Phase I & II).
  • Conduct root cause analysis, hypothesis testing, and propose CAPAs.
  • Document investigation narratives and track CAPA effectiveness.
Testing & Analysis:
  • Perform titration-based content uniformity tests per SOPs and pharmacopeial guidelines (USP, IP, BP).
  • Calculate active ingredient content and assess batch uniformity.
Documentation & Compliance:
  • Ensure compliance with GLP, GMP, and good documentation practices.
  • Maintain validated systems with secure electronic records, audit trails, and backup protocols.
  • Review and approve titration method logs, normality calculations, and endpoint determinations.