This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Wave is now the largest financial institution in Senegal, with over 7 million users, and we’re still in the early days of our product roadmap and potential impact on people’s everyday lives. As a Senior Analytics Engineer, you will work to make Wave’s data easy, safe, and reliable to use, enabling better products for our customers. - Leading dimensional design to structure Wave’s analytics data in ways that are helpful for human and AI end users. Examples include: - Building out facts, dimensions, and One Big Tables (OBTs) as appropriate for a focus area at Wave. - Standardizing metric creation and usage. - Building out ways to make it easy to add context for LLMs to data models. - Managing our extensive Snowflake estate with a strong analytical mindset. Examples include: - Finding patterns that are repeated frequently and optimizing them. - Building tools to identify and turn off stale/unused models. - Evaluating the impact of an optimization on costs and performance. - Building tools to improve the analytics development experience. Examples include: - Creating helpful dbt macros. - CI/CD checks that catch possibly exploding joins. - Reducing the pain of iterating on metric design. - Be responsible for the design, build, and health of all of our ETL pipelines. - Champion best practices across data. - Be a key partner in the roadmap of the data platform team. Qualifications - 5+ years as an analytics or data engineer. Software engineering experience focused on data platforms also counts. - 3+ years of involved experience with Snowflake, ideally including experience with performance optimization. - Experience with dimensional modeling, ideally having built two or more dimensional marts. - Strong Python, SQL, and dbt experience. - Familiarity with managing an orchestration platform like Dagster or Airflow. Requirements - Proficient in SQL and Python. - A self-starter that excels at exploring problems and collaborating closely with operations teams to drive growth through data. - Excellent focus, prioritizing research and work using an iterative approach. - Able to compellingly present findings to technical and non-technical audiences and make proactive recommendations based on data. - Excel at choosing the right complexity of analysis for any given business problem, from simple SQL queries to complex experimentation. Benefits - Yearly $1,200 stipend to support co-working meetups with teammates. - Remote team members are expected to travel to operational markets at least once a year. - Competitive salaries calculated using a transparent formula, with a salary range of $123,500 - $176,400 USD, plus a generous equity package. - Subsidized health insurance for you and your dependents and retirement contributions (varies by country). - 6 months of fully paid parental leave and subsidized fertility assistance. - Flexible vacation, with most employees taking between 30-40 days per year. - $10,000 annual charitable donation matching.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Join us at Ventura TRAVEL – a group of specialized travel brands that unleash the adventurer in every person! As the Data team, our mission is to empower our members with accurate data and proactive insights to support data-informed decisions. We are looking for a reliable and proactive Analytics Engineer to strengthen our digital marketing analytics stack. You will build and maintain end-to-end data solutions—from data collection and integration to modelling and reporting—that help us grow sustainable tourism around the globe. You will report directly to our Data Manager and work in a growing international IT Department, surrounded by other talented, caring, and passionate individuals. On a daily basis, you will: - Connect to and collect data from diverse sources and APIs. - Tackle data processing challenges, turning stakeholder needs into robust, scalable data solutions. - Work with analytics tools to boost our web presence and acquisition performance. - Design and maintain dashboards and visualizations that clearly communicate insights to stakeholders. - Ensure data quality through validation, testing, and documentation. - Collaborate with marketing and other teams around the world, growing your skills and perspective through end-to-end data solution development. Qualifications - Strong experience with SQL and Python for data processing. - Experience with Git for version control. - Confident using AI tools to boost efficiency. - Solid data visualization and reporting skills. - Practical experience with web/marketing analytics tools, such as Google Analytics and Google Tag Manager. - Professional communication skills in English (written and spoken). - A collaborative mindset, with the ability to gather requirements and communicate with non-technical stakeholders. Requirements - Experience with BigQuery and Looker Studio. - Exposure to Machine Learning or Data Science projects. Benefits - Interesting tasks and goals. - Freedom to be creative in achieving results. - Flexibility in regard to place of work and working schedule. - Quarterly Social Days and Team Events. - Work from other offices in the Ventura network around the world. - Colleagues who are a lot more than just co-workers. - Competitive salary. - Good career opportunities within Ventura Travel. - International Team. Confidentiality & Diversity Applications at Ventura TRAVEL are treated with strict confidentiality. We use a professional HR-Software that only grants access to your applications to HR, the Recruiting Manager, and the interviewers. It is our commitment that every qualified person will be evaluated according to skills regardless of age, gender identity, ethnicity, sexual orientation, disability status, or religion.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Office of Performance Management (OPMI) operates as the MBTA / MassDOT’s internal research lab. We answer research questions developed both internally and externally to help us better understand how people interact with the transportation networks. Some examples of OPMI’s current research work include: - Analyses of the impact of diversions on rider satisfaction and mode choice - Late night transit ridership - Rideshare competitiveness with public transit OPMI develops and tracks performance metrics for MassDOT and the MBTA and implements strategic initiatives with a focus on data analysis to improve rider experience. Co-ops can participate in training, fieldwork, tours, conferences, and other learning opportunities as available. By the end of their co-op, they will have gained experience managing multiple concurrent projects, collaborating with multiple departments across the MBTA and MassDOT, and working with many datasets to answer a variety of real-world questions. The Senior Travel Behavior Analytics Co-Op is a full-time, six-month position (July – December). Co-ops are expected to work 40 hours per week from 9:00am to 5:00pm. OPMI is a hybrid office, meaning co-ops will need to work in-office on Tuesdays and Wednesdays but can work remotely on Mondays, Thursdays, and Fridays. The ideal candidate is someone with: - Advanced experience in data analysis with Python, R, or SQL - Above average experience and interest in survey and research design - Excellent attention to detail - Intermediate to advanced writing skills The Senior Travel Behavior Analytics Co-Op will support transportation research projects, particularly those focused on: - Conducting surveys - Improving survey methodologies to better understand public transit riders - Analyzing transportation network company (TNC, or rideshare) data to inform policy decisions This position provides comprehensive real-world experience with longitudinal survey research projects and is a good opportunity to apply and improve skills from research design to data processing and statistical analysis. The office is set up “hotel” style, where staff members have no assigned desk, and book space when they expect to work in-office. OPMI will provide a laptop that can be taken home for work. Our office is located at 10 Park Plaza, Boston, MA 02116 (downtown) and is accessible via transit and to people with disabilities. Qualifications - Enrolled in a graduate/master’s degree program of an accredited college/university in Computer Science, Statistics, Mathematics, Urban Planning, Transportation, Geography, Economics, Public Policy, Political Science, or related fields - Above average ability to work with open-ended questions and managing ambiguity - Intermediate proficiency in at least one programming language (such as R or Python) and willingness to pick up new languages - Above average ability to communicate effectively in English, both in written and oral forms - Highly organized, motivated, and have great attention-to-detail - Above average ability to work effectively in diverse, collaborative, fast-paced environments as well as independently - Ability to independently commute to assigned work locations in the Boston, MA metro area - Authorized to work in the United States (international students in CPT, STEM, or OPT programs through a university are eligible to apply) Requirements - Ability to effectively read, comprehend, communicate, and respond to instructions, orders, signs, notices, inquiries, etc. in English - Be at least eighteen (18) years of age, except if participating in an approved high school internship/co-op program - Ability to provide internal and external customers with courteous and professional experiences - Ability to work effectively, independently, and as part of a diverse workforce team - Ability to uphold the rights and interests of the MBTA while building and maintaining effective relationships with employees and co-workers - Ability to adhere to rules, regulations, collective bargaining agreements (if applicable), and policies of the MBTA - Ability to pass a Criminal Offender Record Information (CORI) check, comprehensive background screening, and/or medical Clinic screening - Ability to work all shifts and/or locations assigned, directed, or necessary for this position - Intern/co-op staff must be enrolled full or part-time in an accredited educational program and maintain a cumulative GPA of at least 2.5 for the entire duration of the internship/co-op Benefits - Accrued paid sick leave - A monthly transportation pass, based on the city from which the intern/co-op commutes to work, at no cost

Be part of a team that unleashes the power of leading-edge technologies to help improve the health and well-being of those most vulnerable in our country and communities. Working at Gainwell carries its rewards. You’ll have an incredible opportunity to grow your career in a company that values work flexibility, learning, and career development. You’ll add to your technical credentials and certifications while enjoying a generous, flexible vacation policy and educational assistance. We also have comprehensive leadership and technical development academies to help build your skills and capabilities. Summary As an Expert Business Analytics at Gainwell, you can contribute your skills as we harness the power of technology to help our clients improve the health and well-being of the members they serve — a community’s most vulnerable. Connect your passion with purpose, teaming with people who thrive on finding innovative solutions to some of healthcare’s biggest challenges. Here are the details on this position. This role supports the corporate services organization to become data driven organization using Tango (currently in implementation phase). Responsibilities include working with raw data to create a meaningful dashboard to help leaders understand office utilization, cost associated by site, and understanding cost by categories. The role will also support data integrity and accuracy of the reporting that gets pulled out of other systems to gather the dashboards. Strong cross‑functional communication and problem‑solving skills are essential to ensure a smooth process and high data integrity across all systems. Your role in our mission Systems Transition & Data Management - Lead the transition from IOffice (Eptura) and CAD/Office tools to Tango and associated space‑management platforms. - Oversee data migration activities, ensuring accuracy of security data, badge/access data, and positioning/location data. - Manipulate raw data, perform data cleaning, and build dashboards and analytics to support decision‑making. - Work with the Positioning Tool and Tango to support space planning, occupancy updates, and issue resolution. Quality Assurance & Validation - Approve and validate test results to confirm that all requirements have been met. - Support quality control efforts to ensure smooth deployment and system stability. Collaboration & Relationship Management - Work with multiple stakeholders across departments and levels of the organization. - Build effective relationships and adapt communication style to a variety of personalities and working styles. What we're looking for - 9+ years as a Business Analyst or requirements liaison between technical and non‑technical teams. - 3+ years of experience in Medicaid/Medicare environments (preferred). - Strong Project Management background and experience working with senior leaders (CFO, Veritas, etc.). - Experience with IOffice or Tango preferred. - Advanced proficiency with Microsoft Excel (macros, advanced formulas, data modeling). - Experience building and interpreting dashboards, analytics, and spreadsheet‑driven insights. - Ability to manipulate and analyze raw data to produce meaningful reports. - Skilled in business process mapping and re‑engineering. - Excellent communication skills with the ability to clearly explain technical topics to non‑technical audiences. - Strong interpersonal skills with the ability to work with a wide range of personalities. What you should expect in this role - Opportunities to travel through your work for annual meeting - Fully remote options from continental US locations only - Video cameras must be used during all interviews, as well as during the initial week of orientation - The deadline to submit applications for this posting has been extended until a suitable candidate is selected - #LI-HC1 #LI-OCM The pay range for this position is $92,900.00 - $132,700.00 per year, however, the base pay offered may vary depending on geographic region, internal equity, job-related knowledge, skills, and experience among other factors. Put your passion to work at Gainwell. You’ll have the opportunity to grow your career in a company that values work flexibility, learning, and career development. All salaried, full-time candidates are eligible for our generous, flexible vacation policy, a 401(k) employer match, comprehensive health benefits, and educational assistance. We also have a variety of leadership and technical development academies to help build your skills and capabilities. We believe nothing is impossible when you bring together people who care deeply about making healthcare work better for everyone. Build your career with Gainwell, an industry leader. You’ll be joining a company where collaboration, innovation, and inclusion fuel our growth. Learn more about Gainwell at our company website and visit our Careers site for all available job role openings. Gainwell Technologies is an Equal Opportunity Employer, where all qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical condition), age, sexual orientation, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Gainwell Technologies defines “wages” and “wage rates” to include “all forms of pay, including, but not limited to, salary, overtime pay, bonuses, stock, stock options, profit sharing and bonus plans, life insurance, vacation and holiday pay, cleaning or gasoline allowances, hotel accommodations, reimbursement for travel expenses, and benefits.