Role Description This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Qualitative Evaluator - REMOTE. In this role, you will contribute to cross-site evaluations and lead the design and execution of qualitative data collection efforts. Your findings will drive actionable insights that influence key stakeholders in various sectors including health and public services. Engaging with diverse populations, you will ensure their voices are represented while delivering robust evaluation results. This fully remote position involves some travel and is contingent upon contract award. - Design and implement qualitative and mixed-methods evaluation activities aligned with program objectives. - Conduct primary data collection across multiple sites, facilitating key informant interviews and focus groups. - Develop and refine culturally relevant data collection instruments in both English and Spanish. - Maintain detailed qualitative codebooks for consistency and methodological rigor. - Perform qualitative and mixed-methods analyses to address evaluation questions. - Synthesize findings to highlight implementation barriers and facilitators. - Ensure data quality through coding processes and reliability checks. - Manage large datasets and prepare them for federal reporting. - Align evaluation activities with partner goals and federal requirements. - Lead the preparation of evaluation deliverables and high-quality dissemination materials. - Present evaluation methods and findings at national meetings. - Incorporate stakeholder experiences into evaluation design. - Ensure compliance with ethical research practices and federal requirements. - Coordinate data collection and interpretation across diverse settings. Qualifications - Minimum five years of experience in qualitative and mixed-methods research/evaluation. - Experience with multi-site public health evaluation projects. - Familiarity with opioid use disorder or harm reduction programs. - Bilingual in English and Spanish or experience with diverse populations. - Experience preparing findings for varied audiences. - Familiarity with Section 508 accessibility standards. - Proven ability to develop qualitative data collection instruments. - Strong analytical skills with attention to data quality. - Excellent communication skills for translating complex data into actionable insights. - Ability to manage competing priorities in fast-paced environments. - Previous experience with federal agencies preferred. - Eligibility for government clearance. - Legally authorized to work in the U.S. without employer sponsorship. Benefits - Fully remote working environment. - Flexible schedule accommodating personal productivity. - Opportunities for professional development and training. - Collaborative team atmosphere with diverse perspectives. - Making a direct impact on public health and community outcomes. - Networking opportunities with stakeholders across multiple sectors.

We at Yara are part of a global network, collaborating to profitably and responsibly solve some of the world's key challenges - resource scarcity, food insecurity and environmental change. About the Unit We’re looking for a Growth & Marketing Data Analyst to join our Data & Analytics team and play a pivotal role in how we measure, optimize, and scale our digital commercial performance. You’ll work at the intersection of MarTech infrastructure, marketing analytics, and growth experimentation, supporting our Marketing, Product, and CRM teams with clear insights and robust data flows. Your impact will be visible across the entire customer lifecycle—from acquisition campaigns to personalized nurturing and retention. You’ll help improve attribution accuracy, enable data-driven segmentation, and ensure that marketing performance is measured and improved with precision and confidence. This position is available in Varna, Bulgaria (also remotely within Bulgaria) or Vilnius, Lithuania. Responsibilities 1. Martech Optimization & Strategy - Audit the existing Martech stack to identify areas for improvement in usage, integration, cost, and performance. - Support evaluation of new tools that improve campaign targeting, performance tracking, and integration with analytics workflows. - Collaborate with Growth Marketing to maintain a roadmap for Martech development and optimization. 2. Data Analysis & Insights - Build dashboards that enable Marketing and Growth teams to self-serve insights and optimize campaign performance. - Analyze marketing campaign data to provide actionable insights on lead flow, conversion, and attribution across the funnel. - Support ongoing improvements to attribution modeling and funnel visibility. Track key metrics like CAC, LTV, marketing-influenced pipeline, and ROI of tools 3. Cross-functional Collaboration - Partner with the Growth team, Product Marketing and Data Engineering to ensure systems (e.g., CRM, CDP, MAP) are integrated and support business needs nd contribute to a shared data model that connects MarTech, CRM, product usage, and campaign performance. - Translate business requirements into technical specifications for Martech improvements or reporting changes. 4. Automation & Efficiency - Identify and implement automation opportunities across lead scoring, segmentation, nurturing, and reporting. - Support experimentation and cohort-based personalization strategies across campaigns. - Ensure data hygiene and proper tracking across tools like Segment, Marketo, Salesforce and our internal Data Platform. Profile - 3+ years of experience in marketing, product, or growth analytics, ideally in a digital B2B or B2C environment. - Experience with tools like Segment CDP, Adjust, CleverTab, Salesforce, Marketo, Amplitude, AdPlatforms, or GA4 - Proficiency in data analysis tools (e.g., SQL, Excel, PowerBI). - Strong understanding of marketing attribution models, lead lifecycle tracking, and digital campaign measurement. - Demonstrated ability to implement client-side and server-side tracking, and to lead Martech optimization projects. - Excellent communication and project management skills. - Experience working in cross-functional teams with both technical and non-technical stakeholders. - Bonus: Experience with A/B testing tools, Python/R for modeling, or predictive analytics. Additional Information Why us? - Evolving tech development division of an established agricultural products and services company. - Explore and develop digital, software, hardware products, which provide value to farmers, smallholder communities and the value chain. You’ll shape how digital tools drive sales, personalization, and engagement in a data-informed commercial model. - Be part of our mission to build sustainable solutions that benefit humanity and the environment. - Full-time, permanent and freelance contract options available with competitive remuneration + benefits. - Support for personal development, training and continuous learning. - Commitment to using new technologies and frameworks, meetups, and knowledge sharing. Contact details Kristin Barbaros HR Advisor Knowledge grows through differences Yara is committed to creating a diverse and inclusive environment and is proud to be an equal opportunity employer. We believe that creating a diverse and inclusive work environment is not only the right thing, but also the smart thing to do. To deliver on this, Yara has firmly anchored Diversity, Equity & Inclusion (DE&I) in our business strategy and has more than 400 employees worldwide involved in D&I ambassadors networks. As part of our recruitment process, where permitted by local law, we may conduct reference and background checks. These checks will only be performed when deemed necessary for the nature of the job. Candidates will be informed by HR before any background checks are initiated.

Role Description The PBM Data Analyst at Liviniti is responsible for summarizing, analyzing, and interpreting pharmaceutical data to support strategic decision-making processes. The primary objective is to enhance the efficiency and effectiveness of pharmacy benefit programs while ensuring cost containment and delivering high-quality patient care. This role demands a keen eye for detail, strong analytical skills, and a collaborative approach to problem-solving. - Data Collection and Management: - Gather and compile pharmacy and healthcare-related data from various sources, including claims, prescriptions, and pharmacy networks, ensuring comprehensive data capture. - Ensure data accuracy, completeness, and consistency through rigorous validation and cleaning processes to maintain high data quality standards. - Data Analysis and Reporting: - Apply statistical and analytical techniques to identify trends, patterns, and anomalies in pharmaceutical claim data, providing actionable insights to support decision-making. - Perform cost-benefit analysis and cost-effectiveness studies for different medication and treatment options, helping to optimize financial and clinical outcomes. - Create reports, dashboards, and visualizations using tools like Domo, Tableau, or Power BI, effectively conveying insights and findings to various stakeholders, including senior leadership and cross-functional teams. - Compare data from different time periods and between different types of customers to better assess which plan actions are working and to what degree. - Predictive Modeling and Forecasting: - Utilize predictive modeling and forecasting techniques to project future pharmacy benefit program costs and utilization patterns, aiding in strategic planning and budgeting. - Assess the impact of different benefit design changes on costs and patient outcomes, providing data-driven recommendations for program adjustments. - Compliance and Regulatory Support: - Stay updated with healthcare regulations and ensure that pharmacy benefit programs comply with relevant laws and regulations, including those related to data privacy and security. - Assist in audits and compliance reporting as necessary, ensuring transparency and adherence to regulatory requirements. - Program Optimization and Collaboration: - Provide data-driven recommendations for optimizing pharmacy benefit programs, including formulary management, prior authorization criteria, and cost-saving strategies. - Collaborate with cross-functional teams including Pharmacists, Account Managers, and IT professionals to implement recommended changes and enhance program performance. - Implement data validation processes to ensure data integrity and accuracy, troubleshooting data-related issues and discrepancies promptly. - Communication and Technical Skills: - Communicate complex data analyses clearly and understandably, tailoring messages to diverse audiences, including technical and non-technical stakeholders. - Develop and disseminate best practices for researching and answering our clients' questions about their benefit experiences and efficacies. - Proficiency in data analysis tools such as SQL, Python, or R, and familiarity with data visualization tools like Domo or Power BI, enabling robust and efficient data handling. - Familiarity with PBM software and pharmacy claims processing systems, ensuring seamless integration and analysis of diverse data sources. - Additional Responsibilities: - Ability to maintain the confidentiality of sensitive medical information and knowledge of HIPAA Privacy and Security Rules. - Abide by all obligations under HIPAA related to Protected Health Information (PHI). - If a HIPAA violation is discovered, whether individually or by another, you must report the violation to the Compliance Officer and/or Human Resources. - Attend, complete, and demonstrate competency in all required HIPAA Training offered by the company. - Flexibility to understand, appreciate, and embrace that this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee. Duties, responsibilities, and activities may change, or new ones may be assigned at any time with or without notice. Qualifications - Strong analytical skills and proficiency in data analysis tools and programming languages, including SQL, Python, or R. - Understanding of pharmacy benefit terminology, formulary management, and medication pricing, providing a solid foundation for effective program analysis. - Previous experience in healthcare analytics, pharmacy benefit management, or a related field, with a preference for experience in healthcare data analysis. - Excellent communication and presentation skills, capable of conveying complex analyses clearly and persuasively. - Attention to detail and the ability to work independently and as part of a team, fostering a collaborative and precise work environment. Requirements - Bachelor's degree in data science, statistics, healthcare management, or a related field; advanced degree preferred. - 2 years experience in data reporting or analysis role. Benefits - Medical, Dental, Vision insurance. - Disability and Life insurance. - Employee Assistance Program. - Remote work options. - Generous Paid-Time Off. - Annual Reviews and Development Plans. - Retirement Plan with company match immediately 100% vested.

MongoDB is building a world-class team in North America to create tooling that helps customers migrate their data from legacy relational databases to MongoDB in real-time. As companies modernise their application and data ecosystems, they are increasingly drawn to the flexibility and scalability of the document model. The tools developed by the Data Migration team are critical in this journey, helping customers with schema modeling, initial data loads, and continuous data synchronization. We are looking for an experienced Staff Engineer with experience in the Java ecosystem, streaming systems, and data-intensive applications to join our team. We are building a sophisticated data migration suite using a modern technology stack, which includes Java, Spring Boot, Kafka, Debezium, and React. A successful candidate will be a key contributor to our backend services, collaborating closely with product management and other engineers to design and implement cutting-edge products that solve complex customer challenges. We are looking to speak with candidates based in California, Oregon, or Washington for our hybrid or remote working models. The ideal candidate for this role will have - 8+ years of commercial software development experience with at least one JVM language such as Java, preferably using the Spring ecosystem - Extensive experience with streaming data platforms such as Apache Kafka and Change Data Capture (CDC) tools like Debezium - Extensive experience with relational data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc) - Exposure to client-side technologies such as JavaScript and React is a plus - Empower the engineering team with unparalleled thought leadership on emerging technologies and best practices - Proactively engage with product leaders and senior management to align technical solutions with overarching business strategies - Mentor and guide junior and senior engineers on best practices in data structures, algorithms, and database design - Participate in code reviews, design discussions, and contribute to the overall technical direction and roadmap of the team - Curiosity, a positive attitude, and a drive to continue learning - Excellent verbal and written communication skills Position Expectations - Architectural Leadership: Drive the architectural vision and technical strategy for the data migration engine and its surrounding ecosystem. Contribute core, foundational code that solves the hardest scalability problems and sets the standard for the rest of the team - Strategic Partnership: Partner closely with Engineering Leadership, Product Management, and Design to shape the technical roadmap. Anticipate future business needs and translate them into scalable, long-term technical initiatives - Engineering Excellence & Mentorship: Define and champion engineering best practices, patterns, and standards across multiple teams. Actively mentor Senior and Mid-level engineers, cultivating a culture of technical excellence and continuous learning Success MeasuresWithin the first three months, you will have - Familiarized yourself with the MongoDB database and aggregation language - Familiarized yourself with the problem space and the domain - Set up software development infrastructure (tech stack, build tools, etc) to enable development using the relevant tech stacks - Started collaborating with your peers and contributed to code reviews Within six months, you will have - Worked on and delivered a large-scale code analysis feature in the product - Contributed to and helped deliver a few releases of the product - Reviewed and contributed to scope and technical design documents Within twelve months, you will have - Delivered large-scale features across our entire tech stack - Helped recruit, interview and mentor new members of the team - Collaborated with other teams at MongoDB About MongoDBMongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Req ID: 4263333172 MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB’s base salary range for this role in the U.S. is: $151,000—$297,000 USD