5 jobs found

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

WHAT YOU’LL DO: As an Analytic Architect, you will be responsible to drive the discovery, design and execution of a wide variety of analytic technology solutions. The Analytic Architect will provide leadership, strategic decision-making, and guidance within technical disciplines, responding to disruptive analytic technologies and solving unique and complex problems. S/he researches, architects, and defines Analytic, Advanced Analytics & Business Intelligence capabilities and strategies for information delivery and data exploration to support business function needs and goals. In this role you will: Design end to end analytic workflows, including overall architecture, capabilities, platforms, tools & governing processes Create, maintain & communicate positioning/go-forward strategies for analytic capabilities/tools Share governance responsibility to ensure alignment to enterprise guidelines for security, auditability, data governance, metadata management, etc. Help define/improve best practices, guidelines & integration with other enterprise solutions Review analytic solutions for re-usability, scalability, synergy opportunities & alignment to defined best practices & guidelines Create & evolve analytic technology roadmap, to align with continuously evolving business needs Monitor technology trends & performs discovery of any new tools/capabilities of interest Benchmark analytic capabilities with Industry analysts and other companies Own strategic technology relationships with technology vendors & external communities/partners Lead education & training for analytics community WHO YOU ARE 10 years of experience demonstrating a high degree of proficiency in designing and developing complex, high-quality analytic solutions 5+ years in an Analytic Architecture role designing technology architectures, detailed workflows, best practices and governance guidelines A proven track record of delivering scalable, resource intensive, integrated and operational analytic solution; Experience creating point-of-views, technology roadmaps, process diagrams Hands-on experience working with open-source analytic technologies like R/Python, Kubernetes, Tensorflow and/or BI tools like Tableau/Power BI and data architecture concepts (OLAP, etc.) Experience in Agile Development, with specific Solution Architect (or similar) experience preferred Ability to phase the delivery of analytic solutions such that it can meet immediate needs, while building towards the long-term strategic solution Understanding of holistic enterprise architecture and interplay of analytic components with enterprise foundational components (data architecture/governance, security etc.) WHAT’S NICE TO HAVE Cloud analytics platform experience preferred

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. 

Search for Assistant Vice President, Data Analytics and Reporting The University of Maryland, Baltimore The Position The University of Maryland, Baltimore (UMB), the state’s public health, law, and human services university, seeks an innovative, collaborative, leader to serve as its inaugural Assistant Vice President, Data Analytics and Reporting (AVP). The AVP will serve as the founding director of UMB’s Office of Data Analytics and Reporting. The new office will support the entire University‘s analytic and reporting needs within and across a wide range of functional areas, including finance, academic affairs, research administration, human resources, student affairs, and philanthropy. The new office will be responsible for developing a decision support program that leverages data in the warehouse, and will advance the development of data management practices, business intelligence tools, the application of advanced analytics, and the development of interactive dashboards and reports. The AVP will work with key leaders in IT, in numerous administrative offices, and with personnel in schools and departments, in promoting the effective use of data to address key questions, assess performance, and inform decision-making. The AVP will bring a fresh perspective to administrative data management, analytics, and reporting within and across institutional sources of data. The person will identify opportunities to apply contemporary approaches to analytics and reporting through the use of state-of-the-art tools and technologies. The AVP will join campus leadership in fostering a campus-wide culture of informed decision-making and a philosophy of comprehensive self-service reporting such that business intelligence tools and data analytics capabilities are available to all schools and departments. The person will promote enterprise-wide reporting and analytics program that opens the doors to more information and understanding about UMB, leading to data-informed decisions. The AVP is responsible for consulting with and listening to UMB leaders; communicating the benefits and capabilities of the data analytics program; making presentations that demonstrate the value and outcomes produced by transparent BI technologies and data analytics; and encouraging the use of multiple administrative data sources and analytics for decision support related to the management of resources and achieving institutional and school-based goals and strategic outcomes. Candidates should possess demonstrated experience in the field of information management or analytics and reporting; demonstrated expertise with business intelligence and predictive analytics, as well as using and/or leading data warehouse efforts; and significant experience with large databases and Enterprise Resource Planning statistical software programs, spreadsheets, and query, and data mining software; UMB is assisted in this search by Isaacson, Miller, and a national executive search firm. All inquiries, nominations, and applications should be directed in confidence to the firm as described at the end of this document. To Apply All inquiries, nominations/referrals, and application materials should be submitted in confidence via Isaacson, Miller’s website: Daniel Rodas, Partner Liz Vago, Managing Associate Click the "Apply Now" button on this page to be taken to the website. Electronic submission of materials is strongly encouraged. The University of Maryland, Baltimore is an Equal Opportunity/Affirmative Action Employer. Minorities, women, veterans and individuals with disabilities are encouraged to apply.

The Data Visualization and Presentation Specialist is a member of AWEA’s Research & Analytics team and supports AWEA’s analytical agenda by seeking the narrative in data and telling it through a variety of engaging, immersive visual tools. This position thinks in numbers and speaks in interactives, maps, and charts to deliver effective and compelling advocacy materials and content to further the organization’s mission and objectives. The role will also leverage data analysis tools to investigate industry data, market trends, and policy impact assessments to support AWEA’s policy and regulatory decision-making and advocacy. This position reports to the Vice President, Research & Analytics. Essential Functions/Major Responsibilities:  Think critically about graphics and data. Employ a variety of methods – interactive graphics, infographics, charts, maps, fact sheets, and more – to deliver compelling advocacy material and visually stunning market reports and presentations. Develop intuitive, attractive, and interactive data visualizations for reports, presentations, and a range of other uses. Distill data to communicate compelling stories to diverse audiences. Produce high-quality and visually appealing presentation content based on AWEA data and secondary sources. Update legacy presentations, fact sheets, and additional data-driven advocacy content. Lead design and production of AWEA market reports, fact sheets, and data visualizations. Work collaboratively with report authors and subject matter experts to develop content and tailor products to appropriate audience. Build dashboards and similar data summaries for senior management that informs decision-making and planning. Design and perform analyses that support AWEA’s policy agenda at the state, regional, and federal level on strategic issue areas. Provide rapid response and analysis to inquiries from Government and Public Affairs teams, AWEA members, regional partners, the press, and others. Serves as a technical expert in communications with AWEA members, policy makers, the press, and the general public. Assist in reviewing audience-facing material across the organization.           Knowledge, skills and abilities: Strong quantitative analysis skills. Candidate must possess a strong record working with large, complex datasets. Critical thinking: able to look at numbers, trends & data and come to new conclusions and transform into compelling visuals. Strong written and oral communication, with the ability to tailor information to audiences of varying technical capabilities. Expertise in technologies such as Tableau, SQL, JavaScript/HTML/D3. Experience with Adobe Illustrator, Acrobat, and Photoshop. Experience in ArcGIS or other geospatial visualization software. Ability to respond quickly and professionally to inquiries. Ability to prioritize and complete a variety of tasks efficiently. Interpersonal skills and ability to work in a collaborative team environment. Education and/or Experience AWEA is seeking applicants whom reflect and understand our core values: We HEART Wind Energy, The Truth Prevails, Together We Succeed, and Ahead of the Curve . Qualified applicants may possess any combination of education and experience enabling them to successfully perform the responsibilities of the position. Qualifications are: Bachelor’s degree in a quantitative field such as economics, statistics, or engineering preferred. Seeking candidates with a minimum three years of experience conceptualizing and creating information graphics, data visualization, interactives, and presentations. Knowledge and working understanding of U.S. electricity sector preferred. To apply Click the "Apply Now" button on this page to send how you heard about this job, cover letter, salary requirement, start date availability, and resume (use “[Your Name]- Data Visualization & Presentation Specialist ” in subject line) or mail to AWEA, 1501 M Street NW, Suite 900, Washington, DC 20005;  Attention:  Human Resources. AWEA is Metro accessible and provides a generous benefit package. To learn more visit our website. . AWEA is an Equal Opportunity Employer.