7 jobs found

Economic Systems Inc. (EconSys) is an Equal Opportunity Employer seeking a Software Developer to join our team in Falls Church, VA. The Software Developer will help make a significant impact on our continuous efforts to build on our Human Resources Management enterprise system. Our cloud application enterprise system is FedRAMP program accredited. EconSys is celebrating almost 30 years in business and is continuing to have explosive growth! Our office is expanding, our customer numbers have increased, and you’ll find our products and services used by over 100 Federal agencies. With this increased business, we need help providing our Government customers with the best services and tools. Responsibilities: Writes highly optimized Java and SQL to contribute to the development of the application Assists in debugging critical issues affecting customers and communicates status to the support team Provides guidance to junior developers Documents code Performs code reviews to check for code optimization, code style, and enforce test-driven development methodologies Assists in evaluating new software development frameworks and technologies Requirements: US Citizenship (minimum requirement for client issued Public Trust) Able to obtain Public Trust (pass required credit and background check) 5+ years of working experience as a Full Stack Software Engineer Strong knowledge of software development using Java and Spring Able to create automated test scripts for functionality Expertise in HTML and CSS Experience in JavaScript , jQuery , JavaScript templating , js , and Node.js Knowledge of building API, web services, RESTful, and Elasticsearch Knowledge of Oracle database architecture with proficiency in SQL Able to work independently Experience: Handling live issues Writing JUnit tests Building automation using tools such as Jenkins , Gradle , Maven , or others Utilize Linux Administration, Splunk , Apache , Kafka , Puppet , Tomcat , or OSSEC Knowledge using Python, Scala, Ruby on Rails Education: Bachelor’s Degree Compensation: Includes competitive wages, paid holidays, vacation, sick leave, 401k matching, life insurance, health, vision, and dental benefits. We are 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, or any other characteristic protected by law.

Data Analyst - Houston, Texas Long Term Contract - Potential for Direct Apply Now - Position will go FAST! Candidates MUST have at least 3 years’ of working experience in consulting, operations/analytics role Looking for a company and position that has growth potential and unlimited ways to contribute? Then this is the role for you! Our client is in the renewable industry and is looking to expand their team by bringing on a Data Analyst. In this role you will have the ability to really dig into this role contributing your intelligence around data that will enable the sales organization to evolve through having the most critical data and analytics to drive the performance of their business. If you want to be challenged and are looking for the job of your dreams - this could be it. Exceptional leadership who are innovative and forward thinking! The Data Analyst will be responsible for implementation and tracking of overall metrics for the company’s Customer Acquisition team and will report to the Director of Customer Acquisitions. The Data Analyst will (i) work closely with the individual sales and marketing managers to develop, implement, and track relevant metrics to aid in managing the day to day business (ii) work closely with the Director of Customer Acquisitions to track overall sales and marketing performance as it relates to budget and forecast (iii) develop pricing, customer acquisition, & propensity models to support key sales and marketing strategies. The ideal candidate loves data, programming, creative problem solving, and optimizing processes. Responsibilities: Develop, track, and automate reporting that aids Customer Acquisition team in managing sales and marketing programs Identify gaps in business processes that contribute to poor data integrity and recommend and initiate changes to fix appropriate business processes Responsible to create Data Warehouse solution that will aid in performing job duties Develop reporting package that is suitable for detailed deep-dives into the business all the way to executive level monthly reporting Apply statistical modeling or machine learning algorithms to optimize sales and marketing efforts for customer acquisition and retention Develop regression/propensity models for use with sales and marketing campaigns (Direct Mail, e-mail journeys) and retention campaigns (likelihood to cancel) Develop data visualizations that aid in communicating results Quantify the effects of various marketing levers Translate, communicate, and present results and recommendations to a non-technical audience Technical Skills: Have you done any interesting analytics projects for fun? We would love to see them! Statistical modeling and analysis skills Strong general programming skills Proficiency with R and Python SAS programming a plus Strong SQL skills / understanding of relational databases Excel guru Microsoft Power BI or other visualization packages preferred Additional Knowledge, Skills and Abilities: Ability to translate complex business issues into achievable analytical learning objectives and actionable analytic projects Ability to build various propensity models Ability to work well under pressure, remaining focused and calm in a fast-paced environment Ability to communicate information clearly, both orally and in writing Ability to interpret complex analytic results and develop practical business implications Strategic marketing mindset and firm understanding of key marketing and financial concept Keen attention to detail Ability to work as a team member in a fast-paced environment Demonstrated ability to learn and apply new technologies and new analytics models/techniques as needed Qualifications: Education: Bachelor’s Degree in Economics, Statistics, Finance, Computer Science, Engineering, Mathematics Advanced Degree in a quantitative field a plus Candidates MUST have at least 3 years’ of working experience in consulting, operations/analytics roles

The Insights & Analytics team is responsible for analyzing vast amounts of data to better understand and predict customer behavior that in turn informs business decisions and improves J.Crew Group customers’ experiences. Our team has a broad mandate, handling customer analysis across the entire organization and informing marketing, merchandising, planning, stores/field, budgeting and other financial decisions. The Manager position is responsible for designing an appropriate methodology, accessing and analyzing large amounts of data, and synthesizing findings into insights in customer behavior. The work takes the form of strategic ad hoc projects, as well as more routine reporting to measure the effectiveness of various tactics and tests. Responsibilities include: Regularly liaise with the marketing, loyalty, merchandising, and stores teams to understand their business needs and provide the right analyses/insights based on their key strategies and issues Field ad hoc requests for customer analysis, acting as an analytical thought partner to the business stakeholder, and assigning the appropriate analytical approach Conduct advanced customer analyses and arrive at compelling data conclusions, including but not limited to cross-shop, customer profiles and KPIs, and studies into customer loyalty, acquisition and retention trends Translate data findings/trends into actionable insights to better understand complex shopping behavior and present analytical findings in easy-to-understand presentations, making clear recommendations based on deep insights into the data Own, design, develop and distribute customer reports and dashboards that clearly track the effectiveness of strategies underway Build predictive models to improve profitability, growth, retention, customer lifetime value, and other key performance indicators for our business stakeholders Implement formal modeling processes from end-to-end including data gathering, data profiling, numerical model building, calibration, cross-validation, and launching in production Advise on experimental designs to ensure new business strategies are tested appropriately and without bias; assist stakeholders in parsing results, arriving at conclusions and advising on next steps, when needed Act as a subject matter expert on best practices in retail customer analysis Work closely with vendors as needed to ensure integrity of data and analyses being provided Liaise with our customer database provider as needed to ensure data is processed correctly and recommend any changes or updates to support the growing business needs The ideal candidate: Has excellent familiarity with analyzing transactional customer data Is analytical and curious, especially about how numbers can define company strategy Is an excellent oral and written communicator who can clearly tell stories based on insights into the data Understands the retail industry and the analyses common in the trade Has advanced project management skills and efficiently manages tasks to completion Has some degree of modeling experience or familiarity with CLV, churn, propensity, and multi-touch attribution models Is extremely detail oriented Has an entrepreneurial mindset and is comfortable with change and ambiguity Is eager to continually improve his/her analytical and technical skills Has a positive, can-do attitude and wants to be part of a critical team Education & Experience Requirements: Master’s degree preferred in a quantitative field At least 5 years’ previous work experience in retail / e-commerce Superior research, statistical, analytical, processing and mathematical skills with ability to structure and conduct analyses Strong proficiency in R, SQL and/or Python, Tableau and Microsoft Office Suite Working knowledge of AWS toolkit, including S3, Athena, Glue, and Sagemaker

The Data Analyst is responsible for the analysis and utilization of data from many sources with the overarching goal of leveraging HRC’s 8+ million records to strategically support and fulfill the organization’s fundraising and programmatic objectives. This position has four primary areas of responsibility: data management, data visualization, data analysis, and data integration. The Data Analyst will help ensure the integrity of, enhancements and improvements to, and the management of the data flowing into and out of HRC’s Oracle-based CRM database (hosted by ROI Solutions), data warehouse (hosted by Civis), and voter database (VAN). In that capacity, the Data Analyst, together with the team, will serve a pivotal role as the guardian of all data related to HRC’s members, supporters and contacts and will play a key role as team project manager. Position Responsibilities: Data Analysis:   Create reports, visualizations, tools, and analyses with the goal of developing strategic insights and strategies from HRC’s data to enhance fundraising, political action and donor/supporter experience with the organization. The Data Analyst will be creative and pro-active in looking for opportunities to apply data analysis to multiple facets of the organization’s work; Use descriptive analytics to determine the success of fundraising efforts, including A/B testing and statistical significance in differences between two groups; Use data to create predictive models for quantitative analysis of trends among members, supporters, and prospects; and Work closely with users to identify their business needs in terms of problems and opportunities and develop routines, processes, reports, queries and extracts. Data Management: Manage and maintain all data extracts for direct response campaigns, including telemarketing, direct mail, and web/digital ad campaigns using SQL in Civis and ROI Solutions; Manage and maintain data extract requests from the Campaigns & Organizing team for contacting members and supporters during political campaign efforts using the voter file through the platform of the Voter Action Network (VAN); Provide technical support and advice in creating contact lists and other processes in the VAN; Adhere to established protocols and standards for data integrity, data quality, data hygiene and overall data management; Work with internal users and vendors to ensure that the database is complete and accurate and that data imports, uploads, queries, reports and extracts are performed according to established norms and protocols, including regular data cleansing and maintenance (e.g. de-duping records, NCOA updates, and other data appends and sweeps); Develop, implement and document policies and procedures relating to HRC’s membership database, including providing technical support and customer service for internal users; and help ensure the accuracy of data extracts as part of the Quality Control process, analyze the accuracy and reliability of data outputs and make corrections as needed. Data Visualization: Design, construct, manage, distribute, and maintain data visualizations as a component of reporting and analysis; Incorporate innovative and informative data visualizations in Tableau for multiple departments within HRC for internal reporting on members and supporters; Train/provide technical guidance to internal team members and external users to utilize reports and visualizations effectively; Use Tableau to create, maintain, and distribute interactive charts, graphs, dashboards, maps and other items to inform departments of internal progress and promote data-driven decision making; Keep up to date on best practices for effective data visualization creation. Data Integration: Serve as a pro-active team member handling data synchronization between systems and technical issues regarding member and supporter data – especially concerning types of data to be collected or stored, enhancements to ROI/Civis, changes in systems that feed into ROI/Civis, etc.; Help manage data streams into and out of ROI/Civis. Ensure that all data collected for input into ROI (e.g. manual data entry by internal and external users, automatic synchronization of data from other systems, uploads from overlays, etc.) are compatible with ROI structure and protocols; Diagnose problems as they occur and identify and implement solutions. Work with users and database vendor to identify and implement improvements. Work to create efficiencies across departments and users, and Other: Help the team connect the dots between new requests and recently completed ones so that work can be edited rather than created new by reviewing incoming requests, paying close attention to discussions around data, and having a thorough understanding of the data itself,; Ensure that all of their work is documented on the shared drive, and assist the team in saving incoming reports, requests, etc; Coordinate activity with and serve as back-up for other Data team members; Other related duties as assigned. Position Qualifications: Bachelor's degree (or equivalent experience) plus three to five years related experience is required. Database querying with SQL; Experience building reports and visualizations in Tableau. Experience with predictive analytics using R or Python; Knowledge of and previous experience with a membership database (ROI Solutions) and/or Salesforce is helpful; Experience in Voter Action Network (VAN) database preferred; Experience with Flask and/or Shiny apps preferred; Experience in non-profit fundraising, preferably in a highly complex environment within a large non-profit preferred; Demonstrated communication and collaboration skills to work with staff, volunteers and vendors; understand and interpret user needs; and lend expertise, problem-solving, and creative and analytic thinking to formulate and communicate solutions; Ability to create reports and communicate findings on trends, performance and objectives in a clear, concise manner; Ability to work effectively in a dynamic organizational environment; Strong attention to detail and desire to investigate problems to identify and rectify underlying causes; Ability to multi-task and prioritize and manage time well; Knowledge of or interest in LGBTQ issues is preferred.   We strongly encourage people of color, transgender and non-binary people to apply. HRC is an equal opportunity employer and welcomes everyone, including non-LGBTQ people, to join our team.   All positions at the Human Rights Campaign may require travel on a regular basis or periodically.  Where the need arises for business travel, appropriate compensation as outlined by the Fair Labor Standards Act will apply.   No phone calls or emails, please. Due to the volume of applications we receive, we are unable to respond to queries about application status.

Summary Uses in depth technical knowledge of databases, software and hardware solutions, and presented business requirements to engineer best computing environments for highly functional and business aligned applications.   This includes attention to scalability, expandability, and sustainability of systems well into the future, as well as understanding up-front costs and on-going costs for the solutions/environments. ​ Designs, describes and manages the solution engineering in relation to specific business problems. Deep understanding and experience with relational databases and associated functionality such as tuning, security, development, backup and recovery, high availability, and disaster recovery.   Deep understanding and experience with non-relational databases such as distributed, column oriented, document oriented, key/value, and graph.   Ability to read and update existing software code.   May modify software based on vendor specs and department standards.   Oversees required patching and may lead technology projects.   Creates appropriate documentation.   May train other less technical staff members. Responsibilities and Duties Identifies best technical solution among possibilities to solve existing business problems Describes the structure, characteristics, behavior, and other aspects of software to project stakeholders. Defines features, phases, and solution requirements. Designs enterprise integration architecture, ensuring alignment of technology to the business strategy. Provides specifications according to which the solutions are defined, managed and delivered. Provides high-level estimates of complexity, resourcing, dependencies and hours to roadmap projects. Develops and publishes application integration frameworks, patterns, and practices to reduce cost and complexity. ​ Matches solutions with the overall City environment.  This involves operating systems, an information context, and integration requirements. SA must understand how all parts of the business model work together including processes, operating systems and application architectures.  Develops, deploys, supports mission critical Utilities’ applications. Serves as the Lead DBA for all enterprise databases.  Determines methods used for their successful provisioning and continued operation.  ​Manages all licensing as well as hardware selection and lifecycle. Determines and implements best practices for database standards, architecture, security, backup and recovery, availability, etc. of databases for the city. Analyzes the technology environment. Analyzes Enterprise specifics of the overall computing environment within IT. Analyzes and documents requirements Sets the collaboration framework (across departments) Creates a solution prototype Participates in technology selection. Supports project management of deployment. Works within the constraints of each project which may include:  technology, risks, scope, cost, quality, time, and resources. Experience Minimum of eight years of working experience in one or multiple IT disciplines. IT infrastructure and cloud development experience Engineering and software architecture design Business analysis Dev/Ops – Understands development processes and moving solutions into day-to-day operations.  Uses agile methodologies to accomplish a smooth migration. Project and product management Oracle and Microsoft SQL Server database administration and technologies Non-relational database technologies Geographic Information Systems System Integration methods Utilities Industry Management of external vendors Qualifications and Skills Oracle/MSSQL DBA experience:  performance tuning, development, licensing, HA and DR Strong SQL writing abilities Familiarity with alternative relational and non relational database systems. Understanding of internal/external networks functionality Understanding of SOAP and REST web services Familiarity deploying, securing, and administering Apache, Apache Tomcat, IIS or similar web servers. Working knowledge of Windows and Linux operating systems. HTML, C+, python, PL/SQL and/or JavaScript Requirements gathering and ability to clearly understand business needs Exceptional communication skills and ability to informally lead Problem solving skills Ability to work on significant and unique issues where analysis of situations or data requires an evaluation of intangibles. Must have independent judgment in selecting methods, techniques and evaluation criteria for obtaining solutions Ability to perform systematic application integrations with high integration project success rates. Ability to oversee the design and implementation of a stable and adaptable technology infrastructure. Expert knowledge of systems, applications, or process designs within information technology. Expert communication skills for all level of stakeholders and audience. Education 4-year degree in computer science, information technology, or closely related field or equivalent combination of education and experience. Advanced degree preferred. Technical certifications desirable. Personal Attributes Excellent communication skills Deep analytical skills Project and resource management skills Collaborative work style Ability to influence and negotiate

Systems Engineer – Quality Improvement The Johns Hopkins Hospital – East Baltimore Campus Baltimore, MD Full Time, Day Shift Take advantage of this opportunity to play a key role in helping The Johns Hopkins Hospital and Health System deliver the highest quality patient care. The Johns Hopkins Hospital has been at the forefront of discovery, innovation and medical advances for over 125 years. Our reputation for excellence has earned us a spot on  U.S. News & World Report’s  Best Hospitals list for over two decades. Renowned for our specialty services and innovative clinical advances, we strive to make The Johns Hopkins Hospital an exceptional place to work, learn and advance your career. Here you’ll work with some of the best and brightest in the medical field, with access to generous benefits, incentives and numerous career options. No matter your career focus, you too can enjoy an environment that is continually recognized as one of the best workplaces in the world. The Systems Engineer is a key technical leader within a dynamic, interdisciplinary team. He/she is central to the understanding and continuous improvement of a highly, complex operational system of people, processes, technology and information necessary to eliminate preventable harm and improve patient outcomes. The Systems Engineer provides a deep, data-driven understanding of the risks and opportunities within the system through rigorous data analysis and interpretation.  He/she drives performance improvement through the disciplined application of systems engineering methodology. Qualifications: Bachelor’s degree in systems engineering, physical sciences, applied mathematics, computer or science, or a related field; master’s or PhD preferred. Highly skilled in data analysis tools including SQL, Python, R, Tableau, and other data visualization and analysis tools. 5-10 years of relevant experience; less will be considered with strong academic credentials. Additional training in systems engineering, data analysis, quality assurance, technical management, and process improvement preferred. INCOSE or other systems engineering/computer science related certifications preferred. Johns Hopkins Health System and its affiliates are drug-free workplace employers. Johns Hopkins Health System and its affiliates are Equal Opportunity / Affirmative Action employers. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity and expression, age, national origin, mental or physical disability, genetic information, veteran status, or any other status protected by federal, state, or local law.

WHAT YOU’LL DO: To make the food people love, we need to make sure we feed our decision makers the right data and solutions at the right time, every time. As a Senior Data Scientist at General Mills, you will apply your strong expertise in machine learning, data mining and information retrieval to design, prototype and build next generation advanced analytics engine and services. You will collaborate with product owners, business partners and other Data Scientists to define technical problem statement and hypothesis to test. In addition, you will develop efficient and accurate analytical models that mimic business decisions. In this role, you will: collaborate with business partners to develop novel ways to meet goals utilizing cutting edge techniques and tools and effectively communicating your analytics approach advocate and educate on the value of data-driven decision by focusing on the “how and why” of solving problems as your second nature lead analytic approaches, integrating work into applications and tools with data engineers, business leads, analysts and developers engineer new features by using your business acumen to find new ways to combine disparate data sources love to collaborate, coach and learn with a growing team of experienced Data Scientists stay connected with external sources of ideas through conferences and community engagements WHO YOU ARE: Bachelor’s in Data Science, Computer Science, Engineering, Statistics and 5+ years’ experience required OR Graduate degree in quantitative discipline and demonstrated Data Science skill set, plus 2+ years work experience Must have Python or R proficiency working with DataFrames Must have proficiency writing complex SQL queries Must have proficiency with Machine Learning to solve problems such as clustering, classification, regression, anomaly detection, simulation and optimization problems on large scale data sets Exceptional communication and collaboration skills to understand business partner needs and deliver solutions Bias for action, with the ability to deliver outstanding results through task prioritization and time management WHAT’S NICE TO HAVE: Experience with Big Data technologies — Hadoop, Spark, H20.ai, Cloud AI platforms, containerization Experience with supporting deployment, monitoring, maintenance and enhancement of models Experience with data visualization tools — Tableau, R Shiny, Plotly, etc.