Research - Laboratory/Non-Laboratory, Staff/Administrative
We seek one or more senior data analysts to join our diverse team of research and technology professionals. We are looking for smart, technically-minded people who enjoy working with data. For this position, we seek candidates with strong quantitative social science backgrounds who have developed higher-level data management skills that can augment those of the existing team.
Senior data analysts may work across IPUMS data collections (ipums.org), but current openings are for work on IPUMS International and secondarily Global Health Surveys. IPUMS International is the world's largest collection of population data, with over one billion person records from several hundred census samples and household surveys. The census and survey data come to IPUMS in a wide variety of formats that must be standardized before the well-developed IPUMS technical processes can be implemented. The global health surveys are less heterogenous in terms of format but pose significant challenges due to their large number of variables, complex questionnaires, and quantity of metadata.
Responsibilities The most critical job responsibilities involve:
Preparing population (census and household survey) microdata from countries around the world for processing by IPUMS: assure the data are sound, determine transformations needed to make the format suitable for IPUMS data processing, develop/adapt existing code and routines to perform the necessary data manipulations and confirm the output.
Creating complex variables or indicators, developing data usage reports, and conducting data quality assessments: develop and apply a variety of technical and analytical approaches to create, assess, demonstrate, and deliver harmonized data and derived output for grant and contract deliverables, especially those requiring programmatic approaches or significant data manipulation.
Developing and managing metadata associated with technical activities: write technical documentation to describe data transformations, processing instructions, and methodological approaches.
The job will also involve other metadata development, data processing, quality control, and varied work as assigned in support of specific grant deliverables. Data analysis, in a conventional academic sense, may be a component of the work on occasion, but our primary need is for problem-solvers who can interpret data, manipulate it, recognize inefficiencies in our processes, and devise solutions both independently and in concert with other team members.
Annual salary range: $50,000 - $60,000, commensurate with experience.
Required Qualifications: A master’s degree and one or more years of data analysis experience. Strong data manipulation experience in R. Excellent computer skills and experience with census or survey microdata using a major statistical package. Strong written, verbal and interpersonal communication skills with audiences from various disciplines, communities, and cultures.
Additional selection criteria include: Familiarity with another statistical package or another programming language besides R (SPSS, Stata, SAS, Python, etc). Experience with IPUMS; demonstrated ability to work independently and as a member of a diverse team; a record of learning new information technology as required.
Internal Number: 337909
About University of Minnesota, Twin Cities
The University of Minnesota, founded in the belief that all people are enriched by understanding, is dedicated to the advancement of learning and the search for truth; to the sharing of this knowledge through education for a diverse community; and to the application of this knowledge to benefit the people of the state, the nation, and the world.