BI Data Analyst

Are you passionate about leveraging data to drive insights and improve program outcomes? Do you have strong management skills that motivate and lead teams? Ripple Effect is seeking a full-time Health Data Science Manager to take a leading role in our data-driven projects. This role involves overseeing the execution of data science and artificial intelligence (AI) techniques to support our clients' missions at NIH and other science- and health-based agencies. The ideal candidate will have a solid foundation in data science and AI experience in social or clinical science or related fields. You will thrive in a collaborative environment, where innovative thinking and problem-solving are encouraged. If you are looking for a place where your skills can truly make an impact, Ripple Effect is the right fit for you! We are a diverse and inclusive workplace that values creativity and offers flexible work arrangements to support your work-life balance. General Information Job Code: SHR-DM-04/05M Location: Ripple Effect Headquarters – Rockville, MD Employee Type: Exempt, Full-Time Regular (Ask our recruiters about flexible work arrangements) Telework: Hybrid Clearance: Public Trust Manager: Yes Number of Openings: 1 Salary Range: $105,166.40 - $131,458.00 per year (how we pay and promote) Responsibilities Data Science & AI Leadership: Lead and manage data science, modeling, and AI projects, ensuring technical soundness and relevance, in support of government contracts. Develop detailed project plans to track progress and manage changes in project scope, schedule and costs related to process, outcome, and impact evaluation studies. Supervise and mentor cross-disciplinary teams of data scientists and evaluation specialists. Enhance team operations through the development and implementation of streamlined processes. Data Analysis & AI: Provide technical advice on methodology approaches to accomplish project objectives (e.g., research design, analytical techniques, sampling methods). Design and implement advanced statistical models and machine learning algorithms to solve business problems, evaluate program performance, and generate insights from large and complex data sets to improve methodologies. Develop coding frameworks using NVivo, R, or other coding platforms. Stay informed of industry trends and best practices in data science and modeling, deploying AI tools such as machine learning, natural language processing, and large language models to develop new solutions. Data Management: Extract and transform raw health data from multiple sources into meaningful and actionable insights. Aggregate coded comment data to surface themes and insights. Ensure data quality and integrity by implementing robust data validation, cleaning processes, and best practices for data management. Reporting: Develop client reports using aggregated data. Track and process progress reports using an electronic database. Review documents for accuracy and collaborating with team members to resolve any discrepancies. Present findings and recommendations to key decision-makers in a clear and concise manner. Training & Documentation: Develop training materials and co-lead training events. Develop and revise SoPs and other related process documentation. Collaborate with stakeholders and clients to define data science needs and project objectives. Contribute to proposal writing and technical solutioning for new projects. Perform other job-related duties as assigned. Requirements Minimum Education and Experience Bachelor's degree in data science, statistics, or other relevant field 10 years relevant work experience, including at least 4 years of those years in a social or biomedical science related field Basic Requirements Experience developing data-driven insights and visualizations that clearly convey complex concepts and conclusions. Experience leading biomedical research or public health data science projects for the federal government Strong understanding and proven experience with AI, statistical and machine learning techniques, and other emerging technologies to enhance analytical conclusions. Proven experience as a Senior Data Scientist, with a focus on data analysis, modeling, evaluation, and visualization and technical experience with qualitative or quantitative software packages. Proficient in coding languages such as Python or R, data manipulation tools like SQL, and cloud platforms like Azure. Advanced skills with Microsoft Excel, PowerPoint, Word and Outlook. Excellent organizational skills, attention to detail, and effective communication skills. To be successful at Ripple Effect, you must be able to pay attention to details, clearly communicate, work independently, and have an eagerness to learn. Learn more about what it takes to become a Rippler here. Skills That Set You Apart Masters or doctoral degree in relevant field Supervisory experience Established networks in government contracting that can be leveraged Experience with bibliometrics or portfolio analysis Certifications and demonstrated coursework in data science techniques Project Management Professional (PMP) or other management certifications If you don’t have all of the skills above, don’t be discouraged—no resume paints a complete picture of a person. There’s a good chance you’re more wonderful than you think, so please apply! About Ripple Effect Ripple Effect is an award-winning women-owned small business providing professional consulting and exceptional talent for federal, private, and non-profit clients. We deliver multi-disciplinary solutions across Communications & Outreach, Research & Evaluation, Program Management & Policy, Digital Transformation, and Technical & Scientific Support solutions with a focus on science, research, and healthcare domains. Hiring Process | Life at Ripple  Benefits Ripple Effect rewards our employees for their contributions to our mission in many ways, from competitive pay and exceptional benefits to a range of work/life programs based on your employment classification and personalized preferences. ----------------------------------------------------------------------- Ripple Effect is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, political affiliation, or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation during the hiring process, please let us know by contacting our HR department at HR@rippleeffect.com or your recruiter. Eligibility for employment will be verified using E-verify.

Installing computer equipment at various locations throughout the state. Must have valid the Driver's license and reliable car. Also able to work on weekends and late nights.

This position is posted by Jobgether on behalf of MDA Edge. We are currently looking for a Business Analyst in Round Rock, TX. Join a collaborative team driving critical data initiatives for financial systems within a large-scale enterprise environment. In this fully remote role, you will gather and analyze business requirements, support reporting systems, and contribute to the evolution of a robust data warehouse. Working in an Agile environment, you’ll help bridge the gap between technical teams and stakeholders, ensuring clear communication and smooth project execution. Ideal for professionals with a strong background in SQL and system reporting, this position offers a structured, fast-paced setting with statewide impact. Accountabilities: Gather, analyze, and document business requirements for system enhancements and modifications. Develop business requirement documents, user stories, and related documentation. Collaborate closely with technical teams to design and implement data warehouse improvements. Conduct system testing including unit, integration, and user acceptance testing (UAT). Support Agile ceremonies such as sprint planning, stand-ups, and demos. Coordinate with stakeholders to ensure consistent communication and alignment. Provide on-call support as needed, depending on the project phase. Requirements 8+ years of experience as a Business Analyst. Strong command of SQL and hands-on experience with system reporting tools (Oracle, SQL). Proven experience in systems testing (unit, integration, UAT). Solid background in Agile software development methodologies. Preferred: Experience with data warehouse applications, database reporting features, and Jira. Preferred: Background in project and/or product management. Must be located in the state of Texas. Benefits Competitive hourly rate: $36.85/hour. 100% remote position (Texas-based candidates only). 6+ months contract with potential for extension. No travel, relocation, or visa sponsorship required. Opportunity to contribute to impactful financial data projects within a structured, Agile team. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1

Are you a cannabis connoisseur with a passion for providing exceptional customer experiences? Do you thrive in a fast-paced environment where your knowledge makes a real difference? We're looking for a highly motivated, experienced Budtender to join our dedicated team and elevate our customer service to the next level. This is a chance to be a trusted guide in the exciting world of cannabis! We need someone who can confidently speak to various processes, cannabinoids, and the latest products, ensuring every customer finds exactly what they need in a friendly, professional manner. Details - Position: Experienced Budtender Hours: Full-Time, 30-40 hours per week. Compensation: $16.30 - $18.00 per hour, depending on experience. Availability: We are looking for a strong opener, but ideal candidates should be available for any of our shifts, including but not limited to: Morning (6:45 AM - 2:15 PM) Mid-day (10:00 AM - 4:45 PM) Afternoon/Evening (2:00 PM - 10:15 PM) Evening Closer (4:30 PM - 10:15 PM) We are looking for - Proven Experience: You have a strong track record as a Budtender in a regulated cannabis market. Deep Product Knowledge: You can expertly educate customers on a wide range of products, consumption methods, and effects. Customer Focus: Exceptional interpersonal skills and a commitment to creating a welcoming, informative, and efficient shopping experience. Reliability & Flexibility: A professional attitude and the ability to consistently show up for all assigned shifts, including early mornings and late evenings. Ready to Apply? If you are serious about cannabis, dedicated to customer service, and looking for a stable, full-time position with competitive pay, we want to hear from you! Please submit your resume and a brief cover letter outlining your relevant experience and why you are the perfect fit for our team.

Work Location: USA Remote (EST Candidates Preferred) Work Hours: M - F, 9:00 am - 5:30 pm Pay Rate: $24 - $27/hr DOE and location The Research Associate is a non-traditional role in which you will work on our data collection and quality team focusing on the improvement of an AI engine. In addition to an ability to write clearly and concisely, successful Research Associates must be able to tailor their writing style to each assignment’s requirements, possess solid research skills, quickly paraphrase their findings, and evaluate Large Language Model (LLM) prompts written by others. The ideal candidates will have a solid ability to focus on efficiency and problem-solving, and excellent writing and reading comprehension skills – including experience in creating and composing text within a specified amount of time. This role provides opportunities for career advancement. Note: There is no coding or software development as part of this role. What You'll Achieve (Responsibilities):  Work collaboratively in a fast-paced environment Work on various client projects to train generative AI models, by creating prompts and responses based on the instructions provided and on using established best practices for quality prompts Given examples, generate similar prompts and responses Execute different Use Cases collecting Data in support of AI engine Fine-tune AI training prompts for more consistent results Work with a small team of Data Specialists in annotation and labeling projects Engage and assist in regular team training Help identify areas for process improvements Assist in documenting processes Quantitative and Qualitative feedback Provide feedback on tools being used and on potential alternatives Use a variety of communication channels such as Slack, Teams, and SharePoint, to learn about new projects, collaborate with your team, and ask questions Learn new software programs on the job Providing supporting documentation when the AI fails Keywords provides a competitive compensation package, good benefits, and a casual, fun, productive and supportive working environment. We empower people to perform to the best of their ability with our “can do” attitude. We appreciate and embrace flexibility and learn at every opportunity to grow ourselves through experience, training and tackling new challenges. This is what makes us Keywordians. Requirements Preferred prior work experience or college studies in AI Process-oriented, focused on problem-solving, an effective communicator, efficient, and highly organized, with strong attention to detail Ability to learn, document, and work with the team on new technologies and processes Ability to gain new skills and knowledge through hands-on experience Experience in assisting in system troubleshooting & finding resolutions Keen eye for detail Strong communication skills (oral and written) Demonstrated ability to work independently Strong time management skills Exemplify the quality of doing "get it done attitude," including a high level of accountability, transparency, and teamwork first & foremost A stable internet connection with a download speed of 50-100 Mbps and an upload speed of at least 10 Mbps Benefits At Keywords, we provide all our contingent workforce with: Paid Time Off (including sick days and holidays) 401k (3% matching) Medical, Dental and Vision benefits

PART-TIME: to be considered, please submit your coverletter and resume. This is a dynamic position with career advancement opportunity in the exciting field of Audiology. We will train and develop the skills for the right candidate in medical assisting, practice administration, and the audiology technician role. Minimum of two-years of verifiable experience in the medical, dental, optometry or audiology field recommended but not required to apply. PRIMARY JOB FUNCTIONS: *Open/close the office. *Answer incoming calls and guide patients to the appropriate care. *Scheduling and confirming next-day appointments. *Maintain patient files, insurance information, payments received. *Greets and assists/directs clients who come to the practice. *Prepares, pulls and patient charts on a daily basis. *HIPAA compliant records archiving/filing. JOB SKILLS, KNOWLEDGE AND SKILLS: *Experience Audiology / Hearing Aids not required but preferred. HOURS OF OPERATION: Monday — Friday 9:00am-5:00pm. No evenings or weekends. Pay is hourly, paid holidays, sick days and vacation. Participation in company-funded retirement savings plan and profit-sharing.