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Elgin Community College Elgin, IL Data Specialist - Institutional Advancement Elgin Community College serves over 9,000 students at every stage of their educational journeys, including university transfer programs, career and technical education, continuing education classes, and adult basic education. As a community, we pride ourselves on nurturing a welcoming campus where every person—students, staff members, faculty members, and campus visitors—feels valued. The work of each ECC employee is central to the college's mission, and as an employer, the college fosters a positive environment through professional challenges, excellent benefits, and opportunities for recognition and camaraderie. Job Summary: This position applies an advanced knowledge of research methodology and data collection techniques as a project leader and technical expert in conducting and analyzing difficult and complex institutional advancement projects. Essential Duties: Perform data evaluation and analysis projects for Institutional Advancement. Data visualization and reporting Survey development and administration Participation in College Committees/Activities Original Research and Development Other Duties Perform other job-related duties as assigned which pertain to the job description. Ability to work a flexible schedule which includes days/evenings/weekends as needed by the department. Requirements: Required Knowledge, Skills & Abilities: Bachelor's degree required in a related field. Two or more years of experience in data analysis with a non-profit. Proficiency with statistical software, such as SPSS or SAS. Experience using data visualization software, such as Tableau or PowerBI. Proficiency in Microsoft Office applications, especially Excel and Access Familiarity with the development, management, and use of relational databases and in querying, creating and maintaining working datasets from an ERP/student information system (e.g., Ellucian Colleague, Banner, etc.) Ability to independently manage and prioritize multiple projects and to meet deadlines Demonstrated experience presenting and discussing statistical analysis and research findings to a wide variety of audiences with varying levels of statistical understanding Ability to produce and communicate written information in a professional manner to a variety of audiences Excellent oral communication skills Desired Knowledge, Skills & Abilities: Master's degree preferred. Experience in data analysis with a non-profit in higher education preferred. Familiarity with CRM software preferred, especially Raiser's Edge. Syntax/programming experience with SPSS or SAS preferred. Elgin Community College is an Equal Employment, Equal Access Employer committed to increasing the diversity of our workforce

Responsibilities The professionals at the National Security Agency (NSA) have one common goal: to protect our nation. The mission requires a strong offense and a steadfast defense. The offense collects, processes, and disseminates intelligence information derived from foreign signals for intelligence and counterintelligence purposes. The defense prevents adversaries from gaining access to sensitive classified national security information. NSA is the nation's leader in providing foreign signals intelligence while also protecting U.S. government information systems, forging the frontier of communications, and data analysis. We serve the American people by applying technical skills to meaningful work, keeping our friends and families safe for generations to come. You will make a lasting impact serving your country as a Data Scientist at the National Security Agency, using your curiosity to analyze large data sets to inform decision-making against foreign threats. We are looking for critical thinkers, problem solvers, and motivated individuals who are enthusiastic about data and believe that answers to hard questions lie in the yet-to-be-told story of diverse, complicated data sets. You will employ your mathematical science, computer science, and quantitative analysis skills to ensure solutions to complex data problems and take full advantage of the NSA's software and hardware capabilities in all areas of our enterprise, including analytic capabilities, research, and foreign intelligence operations. Data Scientists are hired into positions directly supporting a technical mission office or the Data Scientist Development Program (DSDP). The NSA/CSS Data Scientist Development Program is a three-year opportunity to build your data science talent, experience the breadth of data science at NSA through six- to nine-month assignments in a variety of diverse organizations, and collaborate with NSA's experts in the field of data science. You will have opportunities to attend technical conferences with experts from industry and academia. You will routinely discuss and share NSA's challenges and successes at weekly technical roundtables. We foster an environment where you will develop your data science skills, allowing you to quickly contribute to NSA's mission. As a member of a technical mission office or the DSDP, Data Scientists tackle challenging real-world problems leveraging big data, high-performance computing, machine learning, and a breadth of other methodologies. As a Data Scientist at NSA, responsibilities may include: Collecting and combining data from multiple sources Uncovering and exploring anomalous data (including metadata) Applying the scientific process to data evaluation, performing statistical inference, and data mining Developing analytic plans, engineer supporting algorithms, and design and implement solutions which execute analytic plans. Designing and developing tools and techniques for analysis Analyzing data using mathematical/statistical methods Evaluating, documenting, and communicating research processes, analyses, and results to customers, peers, and leadership Creating interpretable visualizations Skills The ideal candidate is someone with a desire for continual learning and strong problem-solving, analytic and interpersonal skills. You might be a great fit for our team if any of the following describe you: Completed a degree program in the fields of mathematics, statistics, computer science, computational sciences, or a passion for rigorous analysis of data Tenacity, integrity, persistence, and willingness to learn Ability to solve complex problems Use critical thinking and reasoning to make analytic determinations Works effectively in a collaborative environment Strong communications skills to both technical and non-technical audiences The desire to serve over 300 million fellow Americans and make a difference in world events Pay, Benefits, & Work Schedule On the job training, internal NSA courses, and external training will be made available based on the need and experience of the selectee. Monday - Friday, with basic 8 hr/day requirements between 0800 to 1800 (flexible) Position Summary NSA is in search of Computer Science professionals to solve complex problems, test innovative approaches and research new solutions to storing, manipulating, and presenting information. We are looking for you to apply your computer science expertise to projects that seek to create new standards for the transformation of information. If you want to develop technologies and tools and be a part of cutting edge innovations ' join our team of experts! Help protect national security interests as part of the world's most advanced team of computer science professionals! Qualifications Candidates for the NSA's Data Scientist roles are asked to complete a data science examination evaluating their knowledge of statistics, mathematics, and computer science topics that pertain to data science work. Passing this examination is a requirement in order to be considered for selection into a data scientist position. Salary Range: $70,519 - $87,868 (Entry/Developmental) *The qualifications listed are the minimum acceptable to be considered for the position. Salary offers are based on candidates' education level and years of experience relevant to the position and also take into account information provided by the hiring manager/organization regarding the work level for the position. Entry is with a Bachelor's degree and no experience. An Associate's degree plus 2 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position. Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field (e.g., Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines (i.e., behavioral, social, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 200 level or higher; such as calculus, differential equations, discrete mathematics) and/or computer science (e.g., algorithms, programming, data structures, data mining, artificial intelligence). College-level Algebra or other math courses intended to meet a basic college level requirement, or upper level math courses designated as elementary or basic do not count. Note : A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university. Relevant experience must be in designing/implementing machine learning, data mining, advanced analytical algorithms, programming, data science, advanced statistical analysis, artificial intelligence, and/or software engineering. Experience in more than one area is strongly preferred. Salary Range: $81,571 - $108,643 (Full Performance) *The qualifications listed are the minimum acceptable to be considered for the position. Salary offers are based on candidates' education level and years of experience relevant to the position and also take into account information provided by the hiring manager/organization regarding the work level for the position. Entry is with a Bachelor's degree plus 3 years of relevant experience or a Master's degree plus 1 year of relevant experience or a Doctoral degree and no experience. An Associate's degree plus 5 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position. Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field (e.g., Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines (i.e., behavioral, social, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 200 level or higher; such as calculus, differential equations, discrete mathematics) and/or computer science (e.g., algorithms, programming, data structures, data mining, artificial intelligence). College-level Algebra or other math courses intended to meet a basic college level requirement, or upper level math courses designated as elementary or basic do not count. Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university. Relevant experience must be in two or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, programming, data science, advanced statistical analysis, artificial intelligence, or software engineering. Salary Range: $99,172 - $152,352 (Senior) *The qualifications listed are the minimum acceptable to be considered for the position. Salary offers are based on candidates' education level and years of experience relevant to the position and also take into account information provided by the hiring manager/organization regarding the work level for the position. Entry is with a Bachelor's degree plus 6 years of relevant experience or a Master's degree plus 4 years of relevant experience or a Doctoral degree plus 2 years of relevant experience. An Associate's degree plus 8 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position. Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field (e.g., Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g., physics, chemistry, biology, astronomy), or other science disciplines (i.e., behavioral, social, life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 200 level or higher; such as calculus, differential equations, discrete mathematics) and/or computer science (e.g., algorithms, programming, data structures, data mining, artificial intelligence). College-level Algebra or other math courses intended to meet a basic college level requirement, or upper level math courses designated as elementary or basic do not count. Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university. Relevant experience must be in two or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, programming, data science, advanced statistical analysis, artificial intelligence, or software engineering. Salary Range: $137,849 - $166,500 (Expert) *The qualifications listed are the minimum acceptable to be considered for the position. Salary offers are based on candidates' education level and years of experience relevant to the position and also take into account information provided by the hiring manager/organization regarding the work level for the position. Entry is with a Bachelor's degree plus 9 years of relevant experience or a Master's degree plus 7 years of relevant experience or a Doctoral degree plus 5 years of relevant experience. An Associate's degree plus 11 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position. Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field (e.g., Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g., physics, chemistry, biology, astronomy), or other science disciplines (i.e., behavioral, social, life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 200 level or higher; such as calculus, differential equations, discrete mathematics) and/or computer science (e.g., algorithms, programming, data structures, data mining, artificial intelligence). College-level Algebra or other math courses intended to meet a basic college level requirement, or upper level math courses designated as elementary or basic do not count. Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university. Relevant experience must be in two or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, programming, data science, advanced statistical analysis, artificial intelligence, or software engineering. How To Apply - External To apply for this position, please click the 'Apply Now' button on this page to go to the posting, and click the 'Apply' button located at the top right of the posting. After completing the application for the first time, or reviewing previously entered information, and clicking the 'Submit' button, you will receive a confirmation email. Please ensure your spam filters are configured to accept emails from noreply@intelligencecareers.gov. ***PLEASE NOTE: U.S. Citizenship is required for all applicants. Reasonable accommodations provided to applicants with disabilities during the application and hiring process where appropriate. NSA is an equal opportunity employer and abides by applicable employment laws and regulations. All applicants and employees are subject to random drug testing in accordance with Executive Order 12564. Employment is contingent upon successful completion of a security background investigation and polygraph. This position is a Defense Civilian Intelligence Personnel System (DCIPS) position in the Excepted Service under 10 U.S.C. 1601. DoD Components with DCIPS positions apply Veterans' Preference to eligible candidates as defined by Section 2108 of Title 5 USC, in accordance with the procedures provided in DoD Instruction 1400.25, Volume 2005, DCIPS Employment and Placement. If you are a veteran claiming veterans' preference, as defined by Section 2108 of Title 5 U.S.C., you may be asked to submit documents verifying your eligibility. Please note that you may be asked a series of questions depending on the position you apply for. Your responses will be used as part of the screening process of your application and will assist in determining your eligibility for the position. Be sure to elaborate on experiences in your resume. Failure to provide the required information or providing inaccurate information will result in your application not being considered for this position. Only those applicants who meet the qualifications for the position will be contacted to begin employment processing. Please Note: Job Posting could close earlier than the closing date due to sufficient number of applicants or position no longer available. We encourage you to apply as soon as possible. DCIPS Disclaimer The National Security Agency (NSA) is part of the DoD Intelligence Community Defense Civilian Intelligence Personnel System (DCIPS). All positions in the NSA are in the Excepted Services under 10 United States Codes (USC) 1601 appointment authority.

Associate Provost for Institutional Research Harvard University Cambridge, Massachusetts Harvard University (Harvard) seeks applications and nominations for the position of Associate Provost for Institutional Research (Associate Provost). Reporting to the Deputy Provost, the Associate Provost leads a team of senior statisticians and analysts who will provide both external and internal reporting expertise for the University. As leader of Harvard’s Office of Institutional Research (OIR), the Associate Provost will serve as the central internal liaison for the office with other Harvard departments, provide evidence to the Office of the President and Provost (OPP) in support of strategic priorities, and provide analysis capacity to the broader Harvard University community on behalf of OPP. The Associate Provost will ensure ongoing review and shaping of the office’s policies and practices to reflect the changing needs of the department's core functions, and provide leadership for the office’s projects, programs, and reporting methodologies that support key stakeholders. Additionally, the Associate Provost will be the University’s key contact for and coordinator of the University’s accreditation process. The Associate Provost will focus attention on critical research and policy issues by setting the strategic direction and content for the office's projects, data governance policies, and communications; serving as the key contact for the office with other Harvard departments and leading meetings as the senior department leader; enhancing and extending the office's influence by providing strategic management of partnerships, research convenings, and events; representing the office at local and national conferences and on committees; supervising, coaching, and developing a team of analysts and interns; providing leadership to ensure Harvard’s delivery of accurate and timely reports to the Federal Government and to key data exchange organizations; presenting the work of the office to senior leadership and others within Harvard and to external peers; and in general, developing and implementing creative new ways to support and advance the office’s mission and functions to ensure that OIR’s work moves forward and is integrated into the larger priorities of the University. Since its founding in 1636, Harvard has been devoted to excellence in teaching, learning, and research, creating knowledge and developing leaders across a breadth of disciplines that make a difference globally. The University has twelve degree-granting schools in addition to the Radcliffe Institute for Advanced Study, offering a truly global education. The University enrolls over 20,000 degree seeking candidates, including undergraduate, graduate, and professional students, and counts more than 360,000 alumni around the world. In 2018, Harvard inaugurated its 29th President, Dr. Lawrence S. Bacow. The ideal candidate will bring strong analytical skills and a sophisticated understanding of effective, rigorous institutional research in the current higher education context as well as a collaborative leadership style and the capacity to work and communicate productively with multiple stakeholders across diverse perspectives. The Associate Provost must be flexible, intellectually curious, and possess a strong commitment to customer service, while leading, managing, and developing both staff and processes to best meet the needs of a complex organization. TO APPLY Please click the "Apply Now" button on this page to begin the application process. Harvard University has retained the national executive search firm Isaacson, Miller to assist in this search. All inquiries, nominations, and applications should be sent in confidence to: Dan Rodas, Partner Carrie Alexander, Managing Associate Keith Mason, Associate Isaacson, Miller Boston, Massachusetts Harvard University is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.

Job Overview: Texas Monthly  is seeking an experienced and passionate data analyst to support successful digital product development, audience growth, and audience engagement. A successful candidate will possess significant experience with Google Analytics, BI tools, SQL, reporting design, and analytical methodologies in order to effectively track, analyze, and develop strategies to grow traffic, deepen engagement, and scale reader loyalty. This role with work closely with editorial, product, technical, and marketing teams to foster a culture of data-driven decision making. Job responsibilities include, but are not limited to: Interpret data, analyze results using statistical techniques, and provide ongoing reports regarding all aspects of web traffic and certain marketing activities Translate data analysis into actionable insights Ensure data integrity and champion improvements Proactively conduct deep dive investigations and discover areas for optimization Become the go-to team member for all data-related decision making by the marketing, editorial, and executive teams Establish new KPIs and monitor existing KPIs related to all content and audience development initiatives Be responsible for organization and quality of our data warehouses, Google Tag Manager, Google Analytics, Parse.ly and our Customer Data Platform Consistently learn and improve your skills in data analytics and related development with off-hours research and share your knowledge with the team regularly Help translate data into business decisions and insight Proactively manage and report on metrics and key business goals Write your own SQL or code necessary for reporting purposes Discover what questions need to be asked and seek to answer them Successful candidates will possess the following skills/abilities: Familiar with Google Analytics, Google BigQuery, Google Optimize, Google Tag Manager, Parse.ly, Power BI (or another BI solution) Familiar with ETL pipelines Familiar with HubSpot Proficient with SQL Eager and capable of effectively communicating analysis and findings with other team members and stakeholders Ability to create data feeds and build reporting dashboards in Tableau, Power BI, Data Studio or other dashboarding systems Prior experience with customer acquisition and leveraging data to optimize for specific metrics You must love to find the hidden gold and glean business direction from data! Demonstrated consistent improvement and movement toward goals and a grand vision Strong communication skills Education/Experience: Math, Statistics, or Marketing degree or comparable professional experience At least 2 years’ experience in a similar role Application Process: If you are a qualified candidate and interested in this position, we encourage you to apply by submitting a cover letter and resume with the job title in the subject line. NO PHONE CALLS OR WALK-INS ACCEPTED. TEXAS MONTHLY IS AN EQUAL OPPORTUNITY EMPLOYER.