Analyst, Data Science Job Description
Analyst, data science
provides research specific data processing, analytics and management solutions leveraging disparate clinical and research data sources and technologies.
Analyst, Data Science Duties & Responsibilities
To write an effective analyst, data science job description, begin by listing detailed duties, responsibilities and expectations. We have included analyst, data science job description templates that you can modify and use.
Sample responsibilities for this position include:
Model clinical trial participant behavior using advanced statistics methodologies (e.g., regression, clustering, data mining, NLP, etc)
Identify relationships, patterns, and factors that drive data using statistical methods such as regression modeling, correlations, clustering, and principal components analysis
Strong technical skills with analytical tools, such as R, SAS, and Tableau
Strong data management skills, especially SQL
Experience with other programming languages (Python, Java, C#, Julia) a plus
Defines the information, reporting, and analytical needs of the company
Build predictive models with artificial neural networks and advanced machine learning techniques
Propel analytic product development via conducting statistical analyses on various data sources
Provides focus and clarity in establishing initiative goals and objectives
Adept at performing basic statistical analysis, such as calculating statistical significance, distributions
Analyst, Data Science Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Analyst, Data Science
List any licenses or certifications required by the position: HIPPA, FPX, PMI, APICS, IQ, SAS, CIA, CPA
Education for Analyst, Data Science
Typically a job would require a certain level of education.
Employers hiring for the analyst, data science job most commonly would prefer for their future employee to have a relevant degree such as Bachelor's and Master's Degree in Statistics, Computer Science, Mathematics, Economics, Engineering, Education, Science, Business, Finance, Physics
Skills for Analyst, Data Science
Desired skills for analyst, data science include:
R
Python
SQL
Clustering
Financial
Acknowledging
Administrative
Business management principles and practices
Data management and information technologies
EMR data and clinical data
Desired experience for analyst, data science includes:
Graduate degree in quantitative field (e.g., mathematics, statistics, economics, and data sciences)
At least 3-years hands-on experience with SAS software and 3 years in using Unix system
Exceptional programming skills with experience in multiple languages
5 to 10+ years experience in analytics
Experience with iterative, exploratory data analysis and ability to provide root cause analysis on observed trends and patterns
Significant experience working with very large data sets and developing highly-efficient routines to manage, process, aggregate, analyse, and extract such data
Analyst, Data Science Examples
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Analyst, Data Science Job Description
Job Description Example
Our company is looking to fill the role of analyst, data science. Thank you in advance for taking a look at the list of responsibilities and qualifications. We look forward to reviewing your resume.
Responsibilities for analyst, data science
- Join data from diverse sources using simple methods (e.g., SQL joins) and/or more complex methods (e.g., programmatically executing business rules across datasets)
- Identify trends or correlations between factors and responses using methods such as trend analysis, regression modeling, clustering, and principal components analysis
- 1-2 years’ experience performing text analytics using Python in a non-classroom setting
- Responsible for leadership and delivery of multiple global projects in parallel
- Maintain comprehensive knowledge of available RWD sources and analysis methodologies including their potential applications
- Build and maintain strong collaborative relationships and effective partnerships with molecule teams internal communities, working groups, initiatives and other stakeholders
- Effortlessly navigate the data science stack (wrangling, exploring, modeling, validating, visualizing, socializing) to capture insightful data trends for trial recruitment and retention
- Action data analysis by aligning results with strategic Research Partnerships initiatives
- Ensure a proper understanding of the business problems, identify data relationships and leverage data related best practices in crafting a successful analytic product
- Analyze historical data and business problems and apply integrative thinking to identify trends and make business recommendations based on the findings
Qualifications for analyst, data science
- 1-2 years of experience in data modeling, data analysis, ETL, SQL querying, and relevant analytics tools
- Experience with of the following tools
- Graduate degree (MS) in mathematics, computer science, physical sciences or other quantitative discipline
- Knowledge of Python and other modern programming languages
- Knowledge in at least one specialized statistical computing environment, preferably R
- Knowledge in practical data processing, data mining, text mining and information retrieval tasks
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Analyst, Data Science Job Description
Job Description Example
Our company is growing rapidly and is hiring for an analyst, data science. Please review the list of responsibilities and qualifications. While this is our ideal list, we will consider candidates that do not necessarily have all of the qualifications, but have sufficient experience and talent.
Responsibilities for analyst, data science
- Model large structured and unstructured data sources
- Document the processes and procedures utilized to create datasets
- Translate identified business challenges or opportunities into actionable Data Science project efforts with defined scope and goals
- Create visual concepts / mockups that foster a shared understanding of business challenges or opportunities, communicating effectively across all organizational levels orally and in documented form
- Conduct designed experiments to establish cause-effect relationships
- Perform basic hypothesis tests including t-tests, ANOVA, proportions tests, chi-square tests, and logistic regressions
- Effectively communicate the practical nature of the results of various analyses to business stakeholders using illustrations and practical language
- Collaborate and coordinate with business, IT, and engineering partners to design and develop products
- 4-6 years’ experience addressing practical business challenges in an Analytics / Data Science role
- 1-2 years’ experience with Machine Learning in a non-classroom setting
Qualifications for analyst, data science
- Professional or graduate school level experience with using Amazon Web Services (S3, EC2, Redshift, ) and SQL
- In depth knowledge of standard algorithms such as linear regression, logistic regression, clustering, decision trees, affinity analysis and machine learning techniques
- Familiarity with multiple text analytics tools, and the ability to communicate strengths and weaknesses of each
- Comfort level with relational database theory and data models to connect the dots with new, innovative technologies
- Knowledge of Big Data such as
- 3+ years of experience in cross
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Analyst, Data Science Job Description
Job Description Example
Our growing company is hiring for an analyst, data science. If you are looking for an exciting place to work, please take a look at the list of qualifications below.
Responsibilities for analyst, data science
- Expand opportunity space for core distribution business through ideation, exploration, & evaluation
- Explore alternative tools for data analytics/modeling
- Conduct initial data analysis, develop & manage operational tests & pilots to prove concepts & create business case for expansion
- Create simulation framework to test different segmentation scenarios
- Work cross-functionally & communicate recommendations to stakeholders & leadership
- Establish framework for monitoring performance of vendor companies to understand impact of their services & setting up future analysis on “buy vs build” decisions
- Explore new data opportunities using third-party vendor data in modeling
- Identify, develop, & build processes enabling continuous improvement of analytical life-cycle
- Improve efficiency of monitoring processes
- Build interactive tools to simplify monitoring for stakeholders & automate process of creating reports
Qualifications for analyst, data science
- SAS or SQL programming skills
- 1 year of experience with scripting languages (e.g., Python, Ruby, Perl, Bash) for orchestration and data manipulation
- Able to present information to various audiences
- Masters degree preferred in statistics, engineering, mathematics or other quantitative discipline
- Undergraduate degree in related field (e.g., clinical research, statistics), advanced degrees preferred but not required
- Experience in related field (e.g., healthcare data management, technical consulting) with measurable success and achievement
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Analyst, Data Science Job Description
Job Description Example
Our growing company is looking for an analyst, data science. We appreciate you taking the time to review the list of qualifications and to apply for the position. If you don’t fill all of the qualifications, you may still be considered depending on your level of experience.
Responsibilities for analyst, data science
- Provides functional specifications to IT for physical implementation for the purpose of creating high level reports of clinical, operational, financial and performance results
- Develop and contribute cutting edge point of view regarding which development and data maintenance technologies to use and how to make them work together with other data and presentation tier technologies
- Demonstrate initiative, self-motivation, creative problem-solving, and effective interpersonal communication skills which support the process of building a collaborative team
- Demonstrate flexible and analytical mindset to absorb and build on the ideas of team members and clients
- Document and communicate the module architecture to the development team, third party vendors (as required), and all stakeholders (to the detail appropriate to the audience)
- Propose modeling and proof-of-concept approach as required
- Ensure analytical modules are optimally embedded in overall architecture not only for development, but also for operations, deployment, and continuous enhancements
- Find creative, economical, and elegant software engineering solutions when confronted with technical challenges
- Identify risks and propose risk mitigation strategies associated with the system architecture
- Evaluate third-party suppliers, products and solutions and engage in / lead collaborative discussions
Qualifications for analyst, data science
- 2 years of relevant programming and data analytics experience
- Minimum of BA/BS degree in a relevant field of study
- Strong analytical skills, with the ability to perform complex analysis and make recommendations based on statistical inferences
- Strong working knowledge of Business Intelligence products such as Tableau, Information Builders, Dimensional Insights, SAP/Business Objects, SAS, MicroStrategy
- General understanding of ETL tools like SSIS, Data Stage, PowerCenter
- Advanced analytical, financial and technical skills needed to perform complex analysis and data modeling using sophisticated report writing and data management tools
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Analyst, Data Science Job Description
Job Description Example
Our innovative and growing company is searching for experienced candidates for the position of analyst, data science. If you are looking for an exciting place to work, please take a look at the list of qualifications below.
Responsibilities for analyst, data science
- Make recommendations related to Marketing Mix Modelling, Multichannel Attribution, cohurt analysis modelling sales and demand to optimise stock purchasing
- Influence on strategic business decisions via the chance to own both analytical and commercial projects
- Create complex analytical modules and components, including algorithms for the Catalyst Retail Suite (CRS), by working side-by-side with and understanding requirements from Business Analysts, Product Managers, clients, or Consultants
- Conducts data requirements analysis including the development of the logical data model based on data definitions and business rules the high level design of system work flow
- Provides strategic guidance and technical assistance to improve data collection, data mining, analysis capabilities, and the interpretation of related data
- Identify and validate metrics, how they are to be measured, and the method in which data is tracked, stored and reported
- Collects, cleans and aggregates data in order to use them for Data Analysis
- Generates tables and figures for presentation and interpretation of results in accordance with project requirements
- Assists in development of documents or presentations as needed
- Identify, interpret and communicate meaningful findings to key individuals
Qualifications for analyst, data science
- Possess experience with performing analyses of structured and unstructured data to solve moderately complex business problems
- Minimum BA/BS degree in Statistics, Math, Physics, Economics, Computer Science or related analytical discipline Endless ideas about how to leverage Yelp's unique data set
- Bachelor degree in Statistics, Social Science, Operation Research, or other hard sciences
- Hands-on experience working with SAS (base SAS, EG, BI) SAS statistical package
- Bachelor's degree with focus on Business, Technology or related field
- Minimum 5 years of experience implementing and managing software packages or an equivalent combination of education and experience