This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The M&A Transactions Data Specialist is a senior subject matter expert responsible for the formulation, implementation and enforcement of data collection methodology rules and definitions, content sourcing strategies and all aspects of data integrity along the content curation process. The Data Specialist operates at the intersection of technology and automated content workflows, operations, and deal analysis and accounting rules and methodology. This role largely operates at the same seniority level as a Team Leader but does not include people management responsibilities. Roles & Responsibilities - Serve as the primary SME for the M&A transactions dataset, ensuring clarity in definitions, taxonomy, and coverage standards. - Own and continuously refine SOPs, validation rules, and structured data guidelines. - Conduct deep-dive data audits and gap analyses across the content set to identify coverage gaps, inconsistencies, or quality issues; propose and implement corrective measures. - Partner closely with Product Managers and Technology teams to translate business requirements into scalable operational workflows. - Support automation initiatives, including ingestion logic, AI-assisted extraction, and structured data pipelines. - Act as an escalation support for complex data interpretation and edge cases for the team members. - Enable Team Leaders and Analysts through training, documentation, and change management support. - Design and execute UAT (User Acceptance Testing) for new data features, pipeline changes, or system enhancements related to M&A content. - Support client-facing escalations related to data queries, coverage questions, or quality issues in coordination with Issue Support and Product teams. Qualifications - Expert knowledge and understanding of all aspects of sourcing, curating and supporting an M&A transactions content set. - Strong preference for technically-savvy candidates with understanding of language models and content extraction techniques. - At least 8 years of hands-on experience in all aspects of enterprise-scale M&A content curation - sourcing, deal entity management, collection, standardization and downstream consumption. - Additional experience as a senior individual contributor: M&A or corporate valuations subject matter expert or a process specialist role (minimum 2 years). - Strong leadership and interpersonal skills, with the ability to coach and guide a high performance team. - Sound knowledge of data integrity processes, analytic performance management, and employee development. - Strong problem-solving and decision-making abilities, with a results-oriented mindset. - Ability to thrive in a fast-paced and dynamic environment, managing multiple priorities effectively. - Proficiency in the Google Suite. Company Description AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination. In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.

Overview Data Analyst II is an individual contributor role that provides healthcare data analysis for Medicare, Medicaid, and Commercial lines of business. This role will manage various sources of information and large datasets, including member, pharmacy, claims, laboratory, and provider data to support HEDIS® and state submissions, as well as reporting and analytics projects. This person will provide a strong link between the business customers and the development team, gather and document requirements, perform data analysis, conduct impact assessments, and recommend solutions while staying current with industry regulations and trends. The Data Analyst II will leverage their HEDIS®, healthcare, and technical knowledge to deliver the highest quality of services to all Cotiviti client(s). HEDIS® is a registered trademark of NCQA. Responsibilities - Analyze and troubleshoot healthcare data, including medical and pharmacy claims, lab, provider, and member eligibility data. - Capable of understanding basic SQL loads, file layout, and specifications. - Able to create reports. - Prioritize and respond to tickets and tasks within expected timeframes and with the appropriate level of detail. - Work closely with client account managers, project managers, and the required internal team to provide analytical support. - Analyze existing procedures to identify system/process changes needed to improve efficiency. Ensure a high level of quality and delivery according to client, NCQA, and state-defined timelines. - Be able to analyze data, complete proper research into documentation, and proactively suggest solutions either for client correction or as a direction for engineering to research. - Reduce re-work caused due to controllable root causes. - Contribute to client release notes, specification development, and a monthly client newsletter to ensure transparency to our internal and external customers. - Complete all responsibilities as outlined in the annual performance review and/or goal setting. - Complete all duties assigned. - Must be able to perform duties with or without reasonable accommodation. This job description is intended to describe the general nature and level of work being performed and is not to be construed as an exhaustive list of responsibilities, duties, and skills required. This job description does not constitute an employment agreement and is subject to change as the needs of Cotiviti and the requirements of the job change. Qualifications - Bachelor's degree is required; Relevant Master’s Degree is preferred. - Minimum 1-2 years of data analysis experience in the health care industry with a health plan, TPA or vendors of data analytics or claims processing technologies. - A minimum of 3+ years of experience with SQL (TOAD, SQL Tools) and other data tools to analyze diverse data sets. - Proficient in the use of SQL for troubleshooting and data analysis. - Demonstrated experience managing the deliverables of a client(s) dealing with a broad range of services. - Excellent verbal, written, and interpersonal communication skills with strong grammar and writing skills. - Excellent computer skills in Oracle, SQL Server, Microsoft Word, Excel, PowerPoint, and Outlook a must. - Willingness/availability to travel up to ~10% is required. Cognitive/Mental Requirements - Must possess the ability to think logically and process sequentially with a high level of detailed accuracy. - Ability to foster relationships at the appropriate level within the Client organization. - Proven ability to handle stressful situations, multiple tasks, and deadline pressures. - Able to interact easily and appropriately with internal and external individuals with a professional demeanor. - Ability to follow up on outstanding tasks/deliverables. - Communicating with others to exchange information. Physical Requirements and Working Conditions - Remaining in a stationary position, often standing, or sitting for prolonged periods. - Repeating motions that may include the wrists, hands and/or fingers. - Must be able to provide high-speed internet access / connectivity and office setup and maintenance. - Must be able to provide a dedicated, secure work area. Base compensation ranges from $70,000 to $95,000 per year. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs. Cotiviti offers team members a competitive benefits package to address a wide range of personal and family needs, including medical, dental, vision, disability, and life insurance coverage, 401(k) savings plans, paid family leave, 9 paid holidays per year, and 17-27 days of Paid Time Off (PTO) per year, depending on specific level and length of service with Cotiviti. For information about our benefits package, please refer to our Careers page. Date of posting: 02/11/2026 Applications are assessed on a rolling basis. We anticipate that the application window will close on 04/11/2026 but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected. #LI-Remote##LI-MW1#senior

At Ensono, our Purpose is to be a relentless ally, disrupting the status quo and unleashing our clients to Do Great Things! We enable our clients to achieve key business outcomes that reshape how our world runs. As an expert technology adviser and managed service provider with cross-platform certifications, Ensono empowers our clients to keep up with continuous change and embrace innovation. We can Do Great Things because we have great Associates. The Ensono Core Values unify our diverse talents and are woven into how we do business. These five traits are the key to achieving our purpose: Honesty, Reliability, Collaboration, Curiosity, Passion Role Summary As an intern at Ensono, you will have a direct impact working with your team and also take part in programming provided by our Training and Development team. This will include project work, professional development, a business challenge culminating in presenting to our executive leadership team, and networking opportunities. Our summer internship is the entry point into our 12-month rotational program. The program aims to create a pathway to full time employment and develop well rounded junior associates with great potential. Each summer we choose two interns to join Ensono full-time and gain experience in different departments over 3-month rotations. Because of this, our ideal intern candidate would graduate by Spring 2026 or December 2026 and be interested in full-time opportunities after the internship ends. We are looking for potential participants for our 2026 Summer Internship Program and are excited to invite driven and self-motivated candidates to apply! Ensono is dedicated to cultivating talented individuals with unique skillsets who know how to dream big and build bigger! This is a paid position. Ensono’s paid internship is a 12-week program that runs from May 18th to August 7th, 2026 and could lead to a part-time or full-time position within Ensono. We want all new Interns to succeed in their roles at Ensono. That's why we've outlined the job requirements below. To be considered for this role, it's important that you meet all Required Qualifications. If you do not meet all of the Preferred Qualifications, we still encourage you to apply. What You Will Do: The successful intern will partner with sr. planners and/ leadership to provide detailed analytics on the data that is captured from the various planning tools and platforms (compute – Mainframe, Server, Storage, Network etc.). The intern will need to understand critical data flow and ensure all the tasks/jobs are accurately completed accordingly in order to provide the source data for the next level of analysis. The intern will help build complex database queries, utilize Python and/or other languages/codes to enhance, automate and build correlations across platforms (e.g. server, storage etc.) via Ensono data warehousing. Coupling with latest AI / ML technologies to help improve the quality and predictability of capacity that is critical across all platforms. The intern will also help create and document critical process in supportive of capacity management related functions Qualifications: - Bachelor degree preferrable in Engineering, IT discipline with business related coursework - Intern should have deep research ability, data analytics and process (flow, tree etc.) background - Experience with PowerBI, data analytics tools, databases – SQL, API (e.g. using Python), Python and various Microsoft tools/apps (excel etc.) would - Knowledge or experience with snowflakes is a plus Why Ensono? Ensono is a place to make better happen – for our clients and for your career. You can do great things through innovation or collaboration, by learning or volunteering, or to promote diversity and inclusion. You can do great things for your own health or for a healthier planet. Whatever it means to you to do great things we want Ensono to be the place you can do it. Ensono is an Equal Opportunity/Affirmative Action employer. We are committed to providing equal employment to our Associates and building a diverse and inclusive workforce. All qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or other legally protected basis, in accordance with applicable law. As of the date of this posting, a good faith estimate of the current pay scale for this role is $20.00/hr based on a full-time schedule. Please note that placement in the range may vary based on numerous factors including but not limited to skills, experience, internal equity, and business needs. Pay transparency nondiscrimination statement/posting OFCCP’s pay transparency policy can be found on OFCCP’s website. If you need accommodation at any point during the application or interview process, please let your recruiter know or email USTalentAcquisition@ensono.com.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This contract role as a Data Analyst focuses on processing and analyzing public opinion and survey data preparing SPSS datasets, including weighting, tabulations, data transformations, and producing research deliverables such as toplines while also supporting the development of standardized data libraries and documentation. The position would sit within Corporate Affairs Reputation Management team, applying statistical and research methods to inform insights, stakeholder sentiment, and strategic decision-making across the corporate affairs organization. Responsibilities: - Primary: - Perform data processing on raw survey data using repeatable syntax, with emphasis on scripts for data validation, weighting, and summary tabulations. - Preparing research documents such as toplines and specifications for cross-tabulations. - Secondary: - Writing procedures, documentation, and/or training guides for data collection practices and initial data processing. - Tertiary: - Support survey development (including programming and testing) and managing survey/data collection firms. - Perform secondary research, including literature reviews, internet research, sampling documentation, and database review. Qualifications - Bachelor's degree in Sociology, Economics, Statistics, or a related field. - Minimum 3 years of work experience in data collection and analysis, survey design and implementation, public opinion research, polling, or market research is required. - Strong proficiency in statistical analysis tools (e.g., SPSS, R, Python, Q Research); strong preference for SPSS. - Experience with Excel or Qualtrics (data manipulation, macros, charts and pivot tables) and thorough knowledge of the MS Office Suite (Word, Excel, PowerPoint). - Knowledge of sampling sources (voter files, online panels, listed directories) in public opinion research. - Experience in balancing multiple data collection methods (online, telephone). - Experience weighting datasets and working with U.S. census data. - Experience working with survey development software and programming. - Experience that demonstrates a focus on quality, accurate and error-free work. - Familiar with the benefits and limitations of research practices.