WHAT YOU’LL DO  As a Data Engineer, you will work closely with a multidisciplinary agile team to build high quality data pipelines driving analytic solutions. These solutions will generate insights from our connected data, enabling General Mills to advance the data-driven decision-making capabilities of our enterprise. This role requires deep understanding of data architecture, data engineering, data analysis, reporting, and a basic understanding of data science techniques and workflows.  In this role you will:  Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals.  Solve complex data problems to deliver insights that helps our business to achieve their goals  Create data products for analytics and data scientist team members to improve their productivity  Advise, consult, mentor and coach other data and analytic professionals on data standards and practices  Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions  Lead evaluation, implementation and deployment of emerging tools & process for analytic data engineering to improve our productivity as a team  Develop and deliver communication & education plans on analytic data engineering capabilities, standards, and processes  Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives.  Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics WHO YOU ARE  Bachelor’s Degree  5 years of experience working in data engineering or architecture role Expertise in SQL and data analysis and experience with at least one programming language Experience developing and maintaining data warehouses in big data solutions  Big Data development experience using some or all of the following: Hive, BigQuery, Impala, Spark and familiarity with Kafka Experience working with BI tools such as Tableau, Power BI, Looker, Shiny  Conceptual knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data.  Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics  Passion for agile software processes, data-driven development, reliability, and experimentation  Experience working on a collaborative agile product team   Excellent communication, listening, and influencing skills  WHAT’S NICE TO HAVE  Bachelor’s degree in Computer Science, MIS, or Engineering  7+ years applicable work experience Experience with developing solutions on cloud computing services and infrastructure in the data and analytics space  Experience in Python or Scala  Big Data development experience using Hive, Impala, Spark and familiarity with Kafka  Familiarity with the Linux operating system   Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics Experience with OLAP such as AtScale, SSAS, SAP BW, Essbase Knowledge of Data Preparation, Data Wrangling, and Feature Engineering

External Job Description Description - External Research Analyst Economic Research Department Performs supporting economic research at an intermediate level. Prepares analysis in support of department projects. Uses database knowledge to compile statistical data and prepare reports and forecasts. Develops recommendations and presentations on topics studied. Contributes to multiple research teams. Possesses and applies broad knowledge of analytical concepts, practices and procedures to accomplish moderately difficult assignments. The level of work is considered intermediate and staff work under general supervision. This job has no direct reports. Principal Duties and Responsibilities Collaborates with analysts to define user requirements and conduct design review for the development of basic to medium of complexity applications using client server and/or Web technologies Develops basic to medium level of complexity Web and/or client server applications Assists in providing all required customer service and training for automated systems Resolves basic to medium level of complexity automation and/or data problems Identifies opportunities for process improvements and proposes solutions Performs analysis and projections of financial, economic or demographic data Compiles data, and prepares written reports, graphs and charts Conducts market research, trend analysis and prepares forecasts Uses and designs new analytical models, databases or applications Develops a variety of written materials for various audiences Frequently contributes to project teams Performs other duties as requested Education and Experience Bachelor's Degree or equivalent experience as noted below; major in economics, business, finance, or public policy preferred Minimum of 2-3 years of experience Knowledge and General Skills  Strong analytical and problem solving skills  Strong written and oral communication skills  Exceptionally strong interpersonal and teamwork skills  Demonstrated project management skills  Able to work on multiple projects at one time  Knowledge of business practices and statistical methods Specific Technical Skills Advanced MATLAB programming. Intermediate Stata, R, and Python programming. Intermediate SQL and Database Management. Intermediate LaTeX. Version Control and Test-driven development. Experience with Bloomberg, Haver, FRED Other Requirements Applicants must be U.S. Citizens or hold green cards with the intent to become a U.S. Citizen. As a condition of employment, Federal Reserve Bank of Chicago employees must comply with the Bank’s ethics rules, which generally prohibit employees, their spouses/domestic partners, and minor children from owning securities, such as stock, of banks or savings associations or their affiliates, such as bank holding companies and savings and loan holding companies. If you or your spouse/domestic partner or minor child own such securities, and would not be willing or able to divest them if you accepted an offer of Bank employment, you should raise this issue with the recruiter for this posting, who can provide you contact information for our ethics official if necessary. 

POSITION SUMMARY:  The Department of Economics and Business at Moravian College in Bethlehem, Pennsylvania, globally accredited by the Accreditation Council for Business Schools and Programs (ACBSP), invites applications for a full-time Assistant Professor of Practice in Predictive Analytics. The primary fields of teaching responsibilities will include courses in data science and analytics. The successful candidate has the ability to teach several of the following courses: applied statistics, research methodology, principles, and applications of analytics, machine learning, data visualization, and experiential data analytics. All candidates will have the ability to initiate and supervise interdisciplinary and applied projects. Areas of specialization span the broad range of analytics topics with an expectation for the use of analytics tools including Excel, R, Python, SAS, SPSS, Tableau, and others. A qualified candidate will have a genuine desire to teach data science and analytics, fully participate in a liberal arts environment and demonstrate: ability to mentor learners ability to work ethically and effectively as part of a collegial and collaborative team ability to model the intersection of theory and practice in data science ability to deal effectively with individual differences in ability, personality, and interests commitment to assessment and advising high emotional intelligence effective communicator to various audiences a strong commitment to teaching excellence a desire to participate in service including academic and co-curricular advising, and effective communication skills with a variety of audiences. Applicants will be willing to teach at the undergraduate (introductory through advanced levels) and graduate level. This role will be an integral part of our Master of Science in Predictive Analytics Program. Assistant Professors of practice are full-time, non-tenure eligible faculty. The standard teaching load is four courses (or equivalent) per semester. A course release may be offered each semester to complete administrative duties related to the Master of Science in Predictive Analytics program. This appointment is for a three-year term, renewable. All positions are subject to budget availability. QUALIFICATIONS:  An earned Ph.D. (or equivalent degree), advanced ABDs, and candidates with a Master's degree plus significant professional experience and professional certifications will be considered. Prior teaching experience in analytics is preferred. TO APPLY:  Qualified candidates should click the "Apply Now" button on this page to send a letter of interest, curriculum vita, graduate transcript and evidence of teaching effectiveness. Please attach documents as a PDF file. Qualified candidates should also arrange to have three (3) letters of recommendation sent. Review of applications will begin in December 2019 and continue until a finalist is identified.   (Moravian College will not sponsor applicants for this position for a U.S. work visa.) Founded in 1742, Moravian College is the sixth-oldest college in the country. Moravian is a private coeducational liberal arts college that is located in historic Bethlehem, in the heart of Pennsylvania's Lehigh Valley. Moravian is composed of a traditional undergraduate program, graduate, professional, and adult completion programs, and Moravian Theological Seminary. Moravian College is committed to enhancing the diversity of the college community and the curriculum. Candidates who can contribute to that goal are encouraged to apply and to identify their strengths or experiences in this area. The Economics & Business Department's programs are nationally accredited by ACBSP. PHYSICAL DEMANDS: Occasionally required to remain seated in a normal position for long periods of time Regularly required to walk about Regularly required to maintain balance while walking, standing, crouching, or running Routinely required to reach up and out with hands and arms Regularly required to talk and hear; verbally express information or instructions Regularly required to use hands to grasp objects, type, pick up objects, move objects, or hold objects Routinely required to stoop, kneel, crouch, and/or crawl Regularly required to climb stairs and/or ladders Occasionally required to lift up to 25 pounds and carry a distance of 10 feet Occasionally required to push and/or pull up to 25 pounds a distance of 10 feet Routinely required to stand for long periods of time Close vision (clear vision at 20 inches or less) Depth perception and the ability to judge distances and spatial relationships Adjustable focus WORK ENVIRONMENT: The work environment characteristics described here are representative of those encountered while performing the essential functions of this job.The individual is routinely exposed to indoor conditions, minimum outdoor weather and temperature extremes, and moderate noise level. The specific statements shown in each section of this description are not intended to be all-inclusive. They represent typical elements and criteria necessary to successfully perform the job.

Sr. Data Analytics Consultant The Ohio State University Columbus, OH  Reporting to the Director, Reporting and Analytics, the Senior Data Analytics Consultant provides fundraising data analysis and reporting services for the executive leadership team of the Development arm of the Office of Advancement. The Sr. Data Analytics Consultant will be primarily responsible for the development and implementation of measurement and analytics strategies designed to ensure appropriate operational models; to monitor and evaluate applicable metrics to compare and analyze data to support strategic fundraising decisions and process improvement; to ensure communication with senior leadership and synthesize data into useful and insightful information; and to write and automate tools and scripts to increase efficiency and reduce manual efforts. The Sr. Data Analytics Consultant will design and build data visualizations using diverse data sets and will be instrumental in developing and translating analysis, data modeling and ad hoc decision support to fulfill the needs of the development organization. This includes data analysis and reporting to enhance operational efficiency, encouraging data driven decisions and promoting a higher level of data consumption as well as best practices to improve services and processes of strategic importance to the Development team. The Sr. Data Analytics Consultant provides significant data analysis using both descriptive and predictive statistical analysis expertise for the Development leadership team. This work includes, but is not limited to, responsibility for the ongoing design and maintenance of monthly Development performance reports and the fundraising dashboard. It further includes conducting significant data analysis and data mining required to understand the results found and communication of insights to leadership. This work is accomplished using visual query tools, custom built standard outputs, Microsoft SQL Reporting Services tools, data analysis tools like SPSS or Excel and Tableau. Required Qualifications: Bachelor’s degree in Data Analytics, Statistics, Applied Math, Computer Science, Computer Information Systems or Management Information Systems, Marketing, Psychology or related field; or an equivalent combination of education and experience. Five years of experience in a data analyst role. Experience with enterprise reporting tools (i.e. MS BI Suite). Two years of experience using SQL with preference to Microsoft T-SQL. Two years of experience with statistical analysis using statistical packages for analyzing datasets (Excel, SPSS, R, SAS etc.). Two years of experience visualizing and presenting data. If interested, please click the "Apply Now" button on this page. The Ohio State University is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation or gender identity, national origin, disability status, or protected veteran status. 

Biostatistician responsibilities include, but are not limited to, the following: Performs data analysis and statistical evaluations Collaborates with clinical and bioassay development teams to design studies, forms and analysis plans, performs sample/size/power calculations and stratification/randomization of studies, statistical programming, and report writing Ensures the statistical validity of study activities by solving problems occurring in the data collection process Recommends and carries out effective statistical methodology and strategies necessary for the creation, completion, and analysis of clinical or research project populations to be studied Recommends analytical design for a broad range of data and the most appropriate statistical procedures for evaluation of outcome of studies Uses a wide variety of statistical procedures including, but not limited to, categorical data analysis, exploratory and graphical methods, analysis of variance, correlation analysis, multiple linear regression, time series analysis, logistic regression, survival analysis, and statistics process control (SPC) The ideal candidate would possess: Knowledge of SAS, SATA, and R statistical software packages Experience with statistical methods including Monte Carlo simulation/modeling, categorical data analysis, exploratory and graphical methods, multivariate Gaussian distributions, analysis of variance, correlation analysis, and multiple linear regression Strong computer, scientific, and organizational skills Excellent communication (oral and written) and attention to detail Ability to work independently and as part of a team, self-motivation, adaptability, and a positive attitude Basic Minimum Qualifications: Ph.D. in Statistics, Applied Statistics, Biostatistics, or similar field At least 2 years’ experience analyzing and interpreting biostatistical data Position is full-time, Monday-Friday, 8:30 a.m.-5 p.m., with overtime as needed.  Candidates currently living within a commutable distance of Melville, New York are encouraged to apply. As a Eurofins employee, you will become part of a company that has received national recognition as a great place to work.  We offer excellent full-time benefits including comprehensive medical coverage, life and disability insurance, 401(k) with company match, paid holidays and vacation, personal days, and dental and vision options.