5 jobs found

Works with designated departments to understand business needs. Analyzes information, develops data solutions, and supports development of processes and applications to optimize user experience and impact. Major Responsibilities: Partners with staff to identify opportunities to leverage technology for process improvements and innovation; analyzes business needs to evaluate and recommend systems and applications and their usage. Implements technology solutions; including training and development of appropriate procedures & standards of use, ensuring the resulting work products / applications support the business needs. Collaborates across the organization in providing data analytics to generate insights, using internal and external information sources to enhance data-informed decision making throughout the Foundation. Develops and manages information resources; including data augmentations and aggregation of information. Employs project management skills, including establishing project charters and definitions, facilitating collaborations sessions, exercising communication and work plans. Stays up-to-date on the latest process and information technology advancements to improve Foundation systems and use of data. Updates, implements, and maintains technology related procedures. Regularly and routinely ensures solutions meet business needs and requirements, optimizing user experience. Other duties as assigned. Required Skills & Abilities: Customer-focus orientation with strong communication and organization skills. Strong analytical and problem solving abilities. Experience with solution development and technology assessments. Experience with database management; proficiency with Blackbaud’s Raiser’s Edge or Salesforce a plus. Experience in report writing and data extraction. Proficiency with Crystal Reports a plus. Knowledgeable about data modeling and analytics; experience with Microsoft Power BI a plus. Well-versed with Microsoft Office Suite (Excel, Word, PowerPoint). Knowledge of project management. Experience with process improvement projects, a plus. Preferred Education & Experience: 3 to 5 years relevant experience in technology, consulting, or data analytics. Bachelor’s degree. Make-A-Wish Illinois offers full-time employees comprehensive medical and dental benefits along with excellent paid time off, a 403(b) retirement plan, life and disability insurance, and outstanding professional development opportunities.

As a member of the Financial Risk Group (FRG) development team, you will be part of a team responsible for building and maintaining exciting new solutions for our clients. You will be working with a wide variety of software and technologies and interact with a diverse set of clients who represent multiple industries. In This Role You Will: Write and support complex and original software code in support of FRG's product offerings Perform unit tests on all processes Provide resolution to all data issues Validate all requirements Prepare all ETL processes according to business requirements Incorporate all business requirements into all design specifications Resolve data questions Participate in all aspects of product development including design, development, debugging, implementation, documentation and support Assist maintaining functional operation of assigned production systems Communicate status with project managers Learn to estimate task effort and time frames Trouble shoot and solve complex technical problems Develop and maintain client relationships Communicate effectively with clients to explain difficult business and technical concepts Perform other tasks as assigned Essential Skills: MS degree in the areas of Computer Science, Economics, Mathematics, Engineering, Sciences, or Finance, AND 1-3 years relevant experience. OR, a BS degree plus a minimum 3 years relevant experience SAS software experience SAS DI studio experience Pentaho experience SQL experience UNIX skills Data management techniques Data quality techniques Data analytics reporting Experience with data structures and design Ability to manage multiple concurrent assignments to meet deadlines Strong written communication, oral communication and presentation skills Demonstrated trouble shoot and technical problem solving Demonstrated software skills using software listed above Intermediate understanding of risk management concepts Excellent organizational skills

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. 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. Position highlights include opportunities to accomplish the following: Responsibilities: Data Analysis and Data Mining (40%) Use statistical methods to analyze fundraising data to identify statistically significant patterns and trends that generate actionable insights Provide high-confidence-level forecasts that allow the business to make informed decisions Perform analysis and interpretation of data to demonstrate fundraising outcomes, within specified timeframes and frequencies Report, Dashboard and Scorecard Creation (40%) Gather requirements, create queries, build reports and dashboards that integrate multiple sources of data, identify actionable insights and conclusions, and translate complex results into simple visualizations that will empower department leaders to take decisive action Develop trend analysis reports that monitor key performance indicators and compares them to internal and external benchmarks and uses this data to assist leadership in decision-making, planning and implementing performance improvement strategies Convene colleagues to share information and best practices. Analyze report results with a focus on explaining changes, inconsistencies and any patters that are identified. Become an established Subject Matter Expert within the Organization (20%) Work collaboratively with Development leadership to understand and design analytical approaches to open-ended strategic business problems and communicates the findings to key stakeholders through reports, presentations, storytelling and thoughtful discussion; Collaborate with the Development leadership team in order to identify trends and opportunities to improve and maximize fundraising revenue Serve as a technical and educational resource to others on fundraising data and benchmarks, modeling, data acquisition and rapid analysis for insight generation Performance Objectives First 1-3 months Demonstrate basic knowledge and understanding of the higher education advancement industry, with particular emphasis on the major gift fundraising component in particular. Demonstrate intermediate level understanding of the t-SQL language, SQL Server Reporting Services and Tableau. Demonstrate basic understanding of the advancement data warehouse. First 3-6 months Demonstrate intermediate knowledge and understanding of higher education major gift oriented fundraising. Assume technical responsibility for the monthly fundraising suite of reports and being transition of existing t-SQL extract – Excel legacy reports to SSRS and / or Tableau. Assume technical responsibility for the existing SSRS based Fundraising Dashboard and all linked reports. First 12 months Demonstrate intermediate knowledge and understanding of the higher education advancement industry. Assume analysis responsibility for monthly fundraising performance analysis. Assume business evolution responsibility for monthly reports and the fundraising dashboard. Why Join Ohio State Advancement Now? In 2016, The Ohio State University concluded the most successful fundraising effort in its history, with contributions from what is believed to be the most donors ever to a higher education campaign. The But for Ohio State Campaign raised over $3 billion from more than 750,000 donors, shattering the goal of $2.5 billion. Ohio State is now six months away from the public kickoff of the next campaign which coincides with the celebration of the university’s 150th birthday. All members of Advancement are part of creating an inclusive culture that inspires an exceptionally diverse and talented team and are measured on their adherence to the following core competencies:  leadership, continuous improvement, teamwork and collaboration, and communication/interpersonal effectiveness. More about Advancement Reporting and Analytics Reporting and Analytics (R&A) is one part of the Business Intelligence and Data Science department totaling 15 full-time staff within Advancement. R&A is comprised of 10 staff members with nearly 100 years combined experience working in the Advancement and Enterprise Reporting professions. We are an extremely collaborative group possessing particular technical expertise in t-SQL, SSRS and Tableau. The larger BI team also then possesses extensive experience in Market Research and Data Sciences. Those groups are similarly collaborative in their approach and give the larger BI team experience in market research and advanced statistical techniques. Finally our in group project manager is guiding us in the implementation of the Agile Project Management approach. Experience Requirements The selected candidate for this position must have demonstrated success in several areas, including: 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. 5 years’ 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. 2 years of experience with statistical analysis using statistical packages for analyzing datasets (Excel, SPSS, R, SAS etc.). 2 years of experience visualizing and presenting data. Desired requirements include: Master’s degree in Statistics, Business, Computer Science, Economics, Engineering, Mathematics or other quantitative disciplines. Experience in the non-profit fundraising space. Familiarity with statistical algorithms such as linear and logistic regression, decision trees, neural networks, etc. 2 years of project management/consulting experience. Experience working in an Agile SCRUM environment. 2 years’ experience building dashboards. 2 years of experience conducting forecasting models. You Need To Know Aside from the unparalleled benefits of working for The Ohio State University and working in the diverse, smart, safe, fun and growing city of Columbus, Ohio, this opportunity will provide exceptional rewards that arise from working for a land grant institution where you will truly feel the impact of your work. Closing Statement 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. How to Apply Please click the "Apply Now" button on this page to find out more about University Advancement and apply online. Questions may be directed to Greg Bright, Recruiter, at bright.159@osu.edu .

Company Doctors Without Borders/Médecins Sans Frontières (MSF) is an international humanitarian organization that delivers impartial medical care to people affected by conflict, epidemics, disasters, or exclusion from health care in over 70 countries.    We welcome candidates who bring a wide variety of backgrounds and experiences to join us in working toward MSF’s common mission. Department The Field Human Resources Department (Field HR) is responsible for recruitment, selection, placement, and retainment of qualified and well-suited field staff to meet the growing needs of MSF field operations. Project The People Analytics team aims to strengthen the analytical capabilities of Human Resources (HR) across MSF so that HR planning is more strategic, data-driven and evidence-based. Working across the movement, with internal and external stakeholders, we aim to ensure that data is being used effectively to help the organization answer key HR questions and deliver strategic value. The team is responsible for defining and driving the strategic path for People Analytics across the movement by engaging and coordinating with concurrent HR analytics efforts internally and the People Analytics community externally. Under the direction of the Head of People Analytics, the Data Scientist will help identify opportunities for data-driven solutioning in HR and will be the focal point for all technical aspects of the team’s work. You will help us discover the information hidden in the vast amounts of data available to us, and help us make evidence-based decisions about our workforce and our HR activities. You will help us explore how statistical modeling, predictive algorithms and future-state simulation can aid in strategic workforce planning. Your primary focus will be in applying data mining techniques, doing statistical analysis, building predictive models and developing data tools to integrate into our existing business intelligence systems. This is a unique and exciting opportunity for a Data Scientist to use their skills for social good while tackling fascinating questions about strategic workforce planning, talent and people decisions in the NGO/humanitarian sector. The ideal candidate is passionate about Data Science and how it can be used to positively influence organizations. Tasks Job Functions and Responsibilities  Perform data manipulation, wrangling, cleansing and analysis (in Python and/or R); Build, iterate and validate predictive models using multiple statistical techniques; Transform and clean large, messy and often distributed datasets by using data cleaning tools/methods to improve data quality by removing unwanted observations, fixing structural errors, investigating outliers, manage missing data (dropping, imputing, etc.), scrubbing for duplicate data and validating the accuracy of data; Play a key role in developing a data infrastructure; Provide support to the People Analytics team by helping interpret, understand and extract value and meaning out of MSF’s HR data; Continuously learn and share knowledge about new ways to mine data and distill meaning out of the increasing amount of data available to us; Provide insight on how to turn data insights into concrete measurable actions; Take ownership of data models and solutions by communicating and advocating their use to the Head of People Analytics; When feasible, apply AI, future-state simulation, machine learning, deep learning, neural networks to MSF’s HR data; Collaborate closely with the People Analytics Team and play an advisory role to/pair with the Data Science Intern(s). Travel The role will not include travel, however collaboration with teams across the MSF movement globally may be required. Basic Qualifications     Minimum 2-3 years’ proven professional experience as a Data Scientist/Statistician or similar quantitative role using large, complex datasets and building models to address real organizational challenges and inform business decisions; A Master’s or Ph.D. in a relevant subject (e.g., Statistics, Data Science, Computational Mathematics, Quantitative Social Science, etc.); Must have expert skills and knowledge in R and Python; Experience with other general-purpose programming language like Java is a plus; Strong skills in applied statistics skills using a variety of techniques to extract insights from data; Proficiency in relational and non-relational databases including SQL; Expert skills in MS Excel; Familiarity with BI tools (i.e. PowerBI ( preferred) , Qlik, Tableau); Experience in data mining; Experience in data wrangling/cleansing; Familiarity with Natural Language Processing; Familiarity with machine learning, deep learning, neural networks and data engineering; Superior attention to detail; Excellent communication and data visualization skills; Passion for data and its use in driving organizational change; Ability to adapt to a rapidly growing and scaling work environment; Strong work ethic, intellectual curiosity, and positive attitude; A willingness to perform other tasks as assigned. Preferred Qualifications   Analytics experience in the HR, non-profit, humanitarian or global health field; An interest or background in HR Analytics, Strategic Workforce Planning or People Analytics; Experience with deploying data tools for non-technical end users; Experience with People Data such as compensation, attrition/retention, and leadership pipeline development; Experience working on a global team. Type HQ Pay Class Full Time Exempt Contract Type Fixed Term Contract (12 Month Contract) Additional Information Starting salary high 80s to low 90s (commensurate with experience); Relocation assistance and visa sponsorship will be offered for this position. Desired Hiring Date ASAP Working Time % 100,00 How to Apply Click the Apply Now button on this page to send letter of interest/cover letter and resume. ATTN: “ Data Scientist” position. No phone calls please. Applications without a cover letter (1-page maximum) will not be reviewed. Application Deadline: August 30, 2019  *Applications will be reviewed, and interviews held, on a rolling basis. Interested applicants are strongly encouraged to send their application materials as soon as possible.