Research Data Analyst Job Description
Research data analyst
provides research support and technical assistance on epidemiologic study designs and statistical approaches to clients of the BEAD core, i.e.
Research Data Analyst Duties & Responsibilities
To write an effective research data analyst job description, begin by listing detailed duties, responsibilities and expectations. We have included research data analyst job description templates that you can modify and use.
Sample responsibilities for this position include:
Create and manage automated profiling, affinity, and experience reports generated as Excel or PDF and made available to stakeholders through a web interface
Communicating with clients to understand and documenting the business objectives
Formulating analysis plans with that meet and support the internal business objectives
Devising and evaluating methods for collecting data such as interviews, questionnaires, focus groups, market analysis surveys, public opinion polls, and literature reviews
Conducting in-depth data analyses using traditional and advanced methods
Support market research analysts by handling operational requirements such as data queries, sample pulls, and survey programs
Run high volume ad-hoc reports analyzing demographic, spatial, and purchase behavior data from the company’s transactional database using query tools such as Teradata SQL
Run individual reports using batch processes
Create and operate tools and process flows in order to track multiple elements for projects
Use mapping software to generate purchaser heat maps at a local and national level
Research Data Analyst Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Research Data Analyst
List any licenses or certifications required by the position: MBSAQIP, ACS, UCSD, PA, PADC, CITI, ACRP, SOCRA, CSPO, CSM
Education for Research Data Analyst
Typically a job would require a certain level of education.
Employers hiring for the research data analyst job most commonly would prefer for their future employee to have a relevant degree such as Bachelor's and Master's Degree in Education, Statistics, Graduate, Economics, Computer Science, Epidemiology, Biostatistics, Public Health, Finance, Engineering
Skills for Research Data Analyst
Desired skills for research data analyst include:
Research function
Excel
Various study designs and implementation strategies
R
SAS
Statistics
Database creation and management
Applied mathematics
Databases and statistical software for data analysis
PowerPoint
Desired experience for research data analyst includes:
Program surveys in SPSS Base Professional
Merge data from multiple sources including online surveys, 3rd party lists, and customer databases
Process, track, and coordinate survey data collection and incentive payments for multi-part operational projects
Clean and maintain tables and synchronize data between various databases on a weekly basis
Manage software and hardware licenses
Ability to program surveys using SPSS Base Professional is a plus
Research Data Analyst Examples
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Research Data Analyst Job Description
Job Description Example
Our company is growing rapidly and is looking for a research data analyst. If you are looking for an exciting place to work, please take a look at the list of qualifications below.
Responsibilities for research data analyst
- Motivate for higher collaboration and performance
- Develop algorithms and statistical models, and perform statistical analyses appropriate to data
- Prepare figures for publication and presentation
- Collaborate with lab members on data collection and analysis methods
- Employ new and existing tools to create reports to reporting requirements defined by the project
- Develop software to maintain interactions between multiple internal and external databases
- Use reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions
- Provide documentation based on audit and reporting criteria
- As the Initiative Research Data Analyst Associate, the employee will support efforts to seek out and assemble in usable form the intellectual landscape around the strategic initiatives
- Alignment, Variant Calling of DNA-seq
Qualifications for research data analyst
- Ability to automate ongoing reports such as VBA, java script, is a plus
- Four-year college degree in bioinformatics, biostatistics, computational biology or similar, with strong publication record
- A solid understanding of biological principles and genetics
- Proficiency with use of web repositories such as NCBI, KEGG, ENCODE, UCSC genome browser
- Preprocessing and integration of RNA-seq
- Apply complex filters such as pedigree segregation and phenotype ontology to prioritize variants
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Research Data Analyst Job Description
Job Description Example
Our company is growing rapidly and is looking for a research data analyst. If you are looking for an exciting place to work, please take a look at the list of qualifications below.
Responsibilities for research data analyst
- Methods Development
- Lead the development of novel methods and pipelines to process genomic data and uncover disease associations
- Interact with clinical geneticists and physicians in order to analytically prioritize disease causing variants
- Facilitate methods developed by junior analysts and students
- Tool and infrastructure dissemination
- Interact with external and internal collaborators
- Facilitate development of junior analysts and students
- Use customized software to characterize images and waveforms
- Assist and support primary research projects to analyze end-customer demand dynamics, product/brand/channel preferences, spending and customer satisfaction trends
- Regularly analyze product performance and communicate best practices for enhancing performance to relevant stakeholders
Qualifications for research data analyst
- Minimum 2 years of related experience in data sciences, analytics or market research
- Ability to query large data sets using query tools such as SQL (Teradata) and IBM Modeler
- PhD with two years of relevant experience or combination of education and relevant experience
- Standardization and collection includes main statement information extensive supplemental information as reported in the financial documents
- This is a position that requires strong attention to detail
- 1-3 years experience in marketing research and/or planning, sales analysis, or data mining
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Research Data Analyst Job Description
Job Description Example
Our company is growing rapidly and is searching for experienced candidates for the position of research data analyst. To join our growing team, please review the list of responsibilities and qualifications.
Responsibilities for research data analyst
- Formal training in statistics
- Experience with package development in R
- Create databases and reports, and employ existing tools to interpret, analyze, and visualize multivariate relationships in data
- Collaborate/coordinate with DCFS and Therapeutic Residential Providers’ CQI and QI management staff to facilitate information exchange
- Coordinate/collaborate with other TRPMI CQI Specialists to share best practices and pitfalls
- Integrate QI into all TRPMI Teams’ processes and activities to assure efficiency in interactions with Residential Providers and DCFS
- Collaborate/coordinate with DCFS and Residential Providers’ QI and QI management staff to facilitate information exchange
- As her/his experience grows, provides consultation to customers on appropriate data management and data-related methodological issues such as strengths and weaknesses of aspects of the EDW and other data sources
- Identify, prioritize and extract data from a variety of sources such as electronic medical notes, survey results, medical reports, and laboratory data to develop a project-specific dataset/database
- Maintain research database accuracy and completeness
Qualifications for research data analyst
- Interest in learning about the equity and equity research business
- Eagerness to learn and be proactive in asking for guidance or direction
- Familiarity with audience television and digital measurement tools (comScore, Nielsen) a plus
- Deep familiarity and fascination with digital video and social media is a must!
- Some business knowledge through work and/or internship experiences
- Detail oriented with excellent oral and written skills
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Research Data Analyst Job Description
Job Description Example
Our growing company is searching for experienced candidates for the position of research data analyst. 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 research data analyst
- Create complex charts and databases, perform statistical analyses, and develop graphs and tables for monitoring, publication, and presentation
- Lead the development of predictive algorithms that combine different data sources from the immune system to predict long-term recovery from surgical trauma and pregnancy
- Responsible for documentation and maintenance of source codes, computation code/experiences at a highly technical and critical task level
- Business Development to assist with prospecting, pitch, and pricing of new partners
- Merchant Sales teams to assist in developing best practices for sales partners, developing sales models to improve Inbound and Outbound lead scoring, track new merchant pricing, and to create and maintain merchant pricing models
- Finance and Portfolio Management to provide research and analytics to optimize existing customer portfolio, including expanding on predictive monitoring capabilities, tracking the impacts of pricing initiatives, and determining targets for value added services
- Corporate Cross Payments team to lead cross channel sales efforts
- Carry out data analyses in parallel on large compute cluster
- Constructing and managing multiple, complex longitudinal data sets
- Writing code to implement complex statistical procedures under the guidance of senior staff
Qualifications for research data analyst
- Curiosity and deep desire to learn!
- Attentive to detail and data accuracy
- Ability to work independently with minimal guidance, exercising discretion and judgment
- Able to work accurately, work well with others and pay strict attention to detail
- Must be adaptable to do work which is varied and requires an intellectual and professional approach
- Requires a high degree of flexibility of skills and hours
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Research Data Analyst Job Description
Job Description Example
Our company is looking for a research data analyst. If you are looking for an exciting place to work, please take a look at the list of qualifications below.
Responsibilities for research data analyst
- Developing reports, memos, charts, graphs and tables for use by researchers and for publication and presentation
- Communicating with external SEDA users and stakeholders, answering and documenting questions about the SEDA data set
- Documenting data generating processes of SEDA data set for technical and non-technical audiences
- Partners with clients to define requirements based on research objectives
- Experience analyzing complex data and presenting to diverse audiences
- Experience reading and interpreting scientific research journal articles
- A meticulous yet creative approach to your work
- Good interpersonal skills, ability to work on a team, and excellent written & oral communication
- A desire to solve research problems
- Bachelor's degree or 4+ years experience in a research lab
Qualifications for research data analyst
- Experience working with complex networks of potential partners within the university and in communities, , school systems and non-profit organizations, required
- Technical skills necessary to extract data from a relational database
- Ability to take direction, work independently, and/or work collaboratively, as situations require
- Ability to meet deadlines, handle multiple assignments simultaneously, and be flexible with changing priorities
- Strong writing and oral communication skills to communicate effectively to non-technical and technical audiences
- Ability to think analytically and to pay detailed attention to accuracy of code and data