Healthcare Data Analyst II (Hybrid - Boston) Minimum Salary US-MA-Boston Job Location 3 months ago(9/26/2024 1:39 PM) Requisition Number 2024-47103  of Openings 1 Posted Date Day Shift Exempt Exempt/Non-Exempt Status Non Union Position -W60- Non Unit Professional Overview POSITION SUMMARY: Under the general direction of the Manager or designee, the Healthcare Data Analyst II will perform data analyses for assigned projects and develop/ produce all related reports. This position will conduct information gathering to provide leadership with the necessary tools to determine the best data analytic practices to position the business unit for addressing client needs. The Healthcare Data Analyst II will also begin to develop analytic consulting skills and utilize a customer service focus in order to design and deliver analytic products that meet or exceed client expectations. This position will be required to work on multiple concurrent projects while managing to successfully complete deliverables with an increasing level of independence. Responsibilities ESSENTIAL FUNCTIONS: Conduct advanced data mining in a timely and accurate manner as required by the program/project. Produce standard and adhoc analyses and reports using a variety of data which support the development, implementation and monitoring of programs/projects. Integrate/manipulate large datasets from data sources (e.g. claims and encounter data) to support analyses using MS Excel, Access, SAS, SQL, COGNOS, and Business Objects. Deploy standard qualitative and quantitative analysis techniques utilizing software packages such as SAS, SQL or Atlas.ti. Contribute to the design of project-specific analytic plans, data manipulation and collection efforts; may include: claims analysis, interviews, focus groups, and surveys involving clients, state agency personnel, and other key informants. Utilize and create standard testing measures and/or algorithms to test and analyze large amounts of data. Design and develop data collection instruments, databases and procedure manuals based on thorough knowledge of data files, related databases, and systems integration. Participate in the design and implementation of data management strategies/techniques and quality control procedures, including writing technical requirements and documentation of data sets. Produce and submit data analysis reports. Develop methods and results narratives to be included in broader scientific reports developed by senior staff. Ensure accuracy of all data analyses, reports and other deliverables by conducting thorough quality control checks and resolving discrepancies. Provide interpretation of data for key stakeholders and leadership; including identifying and reporting data patterns and abnormalities. May be required to produce tabular and graphic summaries of analyses in a form suitable for inclusion in manuscripts for publication in peer reviewed scientific journals as well as for presentation at scientific meetings. Schedule, coordinate, and review activities related to data collection and analysis in order to meet deadlines. Communicate with all appropriate parties to ensure that the project's objectives, scope, and expected deliverables of each project phase are understood. Facilitate communication of the project's status, budget, costs, issues, and related information to same. May provide guidance and training to more junior data staff as needed to help ensure accuracy and timeliness of deliverables. Review and monitor compliance with the federal and state regulations. Perform other duties as required. Qualifications REQUIRED QUALIFICATIONS: Bachelor's degree in a business, health sciences, or a related field; or equivalent 4 years of related experience; including at least one year of healthcare data analysis Demonstrated experience/skills in appropriate computer, statistical or database applications including SAS/SQL, Business Objects, Cognos or similar Strong attention to detail and time management/organization skills to manage multiple priorities Demonstrated ability to research issues and resources Demonstrated ability to write reports, journal articles and/ or other technical documents Excellent communication skills, both oral and written Interpersonal skills necessary to interact successfully with a wide range of individuals. Additional Information LI-AC1 LI-Hybrid

Job Description - Senior Data Analyst (3310026) The Massachusetts General Hospital Center for Aging and Serious Illness (CASI), a research center within the Mongan Institute at Massachusetts General Hospital, seeks a Senior Research Data Analyst to add to our dynamic and growing team. The mission of the Center for Aging and Serious Illness is to better understand the needs of those living with serious illness and their caregivers, develop new interventions, improve current treatments, and explore new questions at the intersection of aging and serious illness. The research team is responsible for a growing number of clinical studies, observational studies, investigator-initiated primary care, hospital-based and community-based implementation studies. A successful Senior Research Data Analyst will have experience conducting observational data analyses, working with raw data, and using large longitudinal datasets. They will be skilled in data organization, manipulation, and analysis, multiple regression modeling and diagnostics. The ideal candidate has strong analytic and methodological skills, excellent communication skills, experience working with health care data and medical claims data, and the ability to mentor and lead other members of the team. PRINCIPAL DUTIES AND RESPONSIBILITIES: Under the general supervision of the Center for Aging & Serious Illness Director and research faculty, the Senior Research Data Analyst will work collaboratively with our team to perform a variety of activities including assisting with database development, software programming, data management, statistical analysis, and reporting results for a variety of internal and external projects and constituents. This detail-oriented, motivated, and independent individual will work with large national survey, electronic health record (EPIC), and health insurance claims, and administrative datasets. The Senior Research Data Analyst will proficiently use SAS software and/or STATA, SPSS, Python, or R and other technical tools to clean data, build datasets, and run statistical analyses for multiple projects. They will be responsible for translating evaluation questions into analytic plans, constructing analytic datasets by extracting raw data, including medical claims data, from electronic data warehouses and other sources as necessary, producing appropriate data summaries, and conducting valid data comparisons and statistical tests. In collaboration with the Director for the Center for Aging & Serious Illness and Administrative Director for the Division of Palliative Care & Geriatric Medicine, the Senior Research Data Analyst provides leadership through motivating, coaching, training, and mentorship of a Data Analyst. SKILLS & COMPETENCIES REQUIRED: Ability to work well both independently and as part of a team. Strong oral and written communication and presentation skills. Strong analytic and data management skills, especially with clinical and biostatistical analyses. Practical problem-solving and ability to move forward in a fast-paced environment. Ability to prioritize work, operate under tight deadlines, and meet deadlines. Excellent organizational skills, accuracy, and attention to detail. Proficiency with software packages, including Microsoft Office suite. Resilient, collaborative, flexible, innovative. Strong programming skills in SAS and willingness to learn other programming languages as necessary. Advanced knowledge of statistical testing and multivariate modeling required (e.g., logistic and linear regression, longitudinal models) used in Biostatistics/Epidemiology. Experience transforming and analyzing administrative healthcare data (e.g., Medicare/Medicaid, other claims-based or electronic medical records databases (EPIC)) is preferred. Experience with compiling longitudinal datasets for analysis is preferred. SUPERVISORY RESPONSIBILITY: 1.0 FTE data analyst. FISCAL RESPONSIBILITY: Assists in the development, reporting, and oversight of program budgets. Understands and positively impacts the value of efficient data analytics for institutional, grant, or research funded projects. WORKING CONDITIONS: Fast paced and dynamic healthcare research institute. Typical work hours are Monday through Friday daytime hours but may vary based upon individual program or event demands up to and including periodic evenings and weekend days. MGH Main Campus, but periodic travel to other Mass General Brigham Healthcare system and non-MGB program locations will be necessary. Hybrid: Primarily on-site, with telecommuting options available for occasional remote work. QUALIFICATIONS: 5 or more years of healthcare, bioinformatics, and/or advanced statistical analysis. Masters degree required. Massachusetts General Hospital is an Affirmative Action Employer. By embracing diverse skills, perspectives and ideas, we choose to lead. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. J-18808-Ljbffr

Cayuse Federal Services (CFS) provides innovative and flexible solutions to federal government clients, emphasizing cost-effective excellence. CFS' capabilities, market-relevant service offerings, past performance credentials, and diverse status allow government clients to engage quickly and confidently with CFS. Core service areas for CFS include Environmental Services Investigation and Remediation, Munitions Response/Unexploded Ordnance (UXO), Operations Support Services Bases, Ranges, Airfields, and Logistics/Warehouse Management. Primary Focus The Data Analyst Senior works with the client in developing and identifying areas within IRS where data obtained through IRS systems may be applied to support IRS compliance activities; help in discovering emerging trends in payment collections and taxpayer behaviors; develop systemic solutions; document analytical work and validate models for transfer to appropriate agency functions. Responsibilities Meet with Government clients to understand their business needs, define research objectives, identify data sources, and develop analysis plans. Apply critical thinking and creative problem-solving skills to proactively identify and develop solutions for clients business problems. Conduct exploratory data analysis using large-scale Government data sources. Develop briefings and reports to communicate key findings to colleagues and Government clients. Work with teams of data scientists to build pipelines for data engineering and machine learning. Work with teams of software developers to build tools for data visualization and analysis. Develop recommendations based on completed research and analysis and present these recommendations to government clients. Demonstrate superior verbal and written communication skills, with the ability to explain complex analytical concepts to stakeholders with technical and non-technical backgrounds. Takes ownership of tasks and develops high-quality work products with minimal supervision. Other duties as assigned. Qualifications Minimum Qualifications: Bachelors in Economics, Statistics, Mathematics, Computer Science, or other quantitative field, or equivalent experience. 5 years of professional experience. 5 years of depth understanding of data constructs, basic statistical concepts, and analytical methods. 5 years of experience formulating data-driven recommendations. Must be able to pass a background check. May require additional background checks as required by projects and/or clients at any time during employment. This position requires candidates to obtain a Federal Public Trust Clearance. Being a US Citizen or a Lawful Permanent Resident is required when obtaining a Federal Public Trust Clearance. Experience with structured databases and query languages (e.g., PL/SQL, Postgres, MySQL). Familiarity with statistical programming languages such as SAS, R, or Stata is helpful, but not required. Strong collaboration skills and ability to work well in a team environment. Excellent verbal and written communication skills. Able to synthesize information from client and team needs into concrete, actionable work products and/or analytical plans. Strong client and team interaction skills. Critical thinker with excellent attention to detail. Reports to: Program Manager Working Conditions Professional remote office environment. Must be physically and mentally able to perform duties for extended periods of time. Ability to use a computer and other office productivity tools with sufficient speed to meet the demands of this position. Must be able to establish a productive and professional workspace. Must be able to work varying work schedules and/or extended hours to meet business needs and project deadlines. May be asked to travel for business or professional development purposes. Other Duties: Please note this job description is not designed to cover or contain a comprehensive list of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. Affirmative Action/EEO Statement: Cayuse embraces diversity and equal opportunity in a serious way. We celebrate diversity and are committed to creating and building a team that represents a variety of backgrounds, perspectives, and skills. Cayuse, and all of its subsidiaries, are proud to be an equal opportunity workplace and are an affirmative action employer. Pay Range: USD $135,000.00 - USD $146,000.00 /Yr. Submit a Referral here . J-18808-Ljbffr

<p>Career Opportunities with Grand Circle Corporation A great place to work. We are seeking a highly skilled and motivated Sr. Data Analyst to contribute to the development of cutting-edge solutions. If you are passionate about pushing the boundaries of technology and solving complex problems, we want to hear from you Job Type: Full-time (Hybrid - 3 days in office) Job Description: As a Sr. Data Analyst on our Digital Analytics Department at Grand Circle LLC, you will play a crucial role in delivering consistent insights on key strategies to maximize profitability. You will work closely with our Director of Digital Analytics Marketing, partnering with our Brand and Execution teams to provide actionable and measurable data insights across our marketing channels. Responsibilities: Conduct in-depth analysis of large and complex datasets to extract valuable customer insights, segment performance, behavior, and preferences in the omnichannel landscape. Develop and implement consistent insight and report out techniques to solve business problems. Use data visualization and written summaries to communicate findings effectively. Collaborate with cross-functional teams to understand business problems for both analysis and reporting to support company initiatives. Present findings and insights to non-technical stakeholders in a clear and understandable manner. Qualifications: Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. Proven experience as a Data Analyst in the digital marketing space, focusing on Web/Social/SEO/SEM Analytics. Specialized in using advanced analytics tools and languages (e.g., SQL, Python, R). Specialized with data visualization tools such as Tableau, Power BI, or similar platforms. Excellent communication skills, complex problem-solving skills, and the ability to work in a fast-paced, collaborative environment. J-18808-Ljbffr</p>

Opportunity Overview: This is an excellent opportunity for an outstanding data analyst to join a Series B digital health company. You will work closely with other clinical analytics experts, clinicians, program implementation and operation experts, informaticists, data scientists, and actuaries to support provider tiering & profiling methodology, algorithm, as well as use cases, and prototype and solution new analytics products as new value adds. The analytics capabilities include: 1) population level and provider-level cost, quality and care appropriateness insights; 2) trend and benchmark comparison; 3) actionable insights to promote behavior change. Last but not least: People who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone. What youll do: Quickly and deeply understand Coheres clinical content, products, services and clinical programs and how Coheres x-functional collaboration and workflow intersect with healthcare providers workflow and patients care journey. Execute the roll out of provider tiering & profiling methodology, algorithm, as well as use cases. Build analytics products for internal stakeholders and external clients using provider ratings, condition and measure analysis. Partner x-functionally with other disciplines to solution and productize provider profiling and network intelligence short-term and long-term roadmaps. Manage and execute new analytics product solutioning, prototyping, and implementation for new clients (both existing segment and new segment). Advise and design cost-benefit model to assess ROI and value-proposition for clients. Prototype reusable and scalable analytics products and network intelligence programs that are marketable to clients. Your background: Masters Degree in a quantitative discipline such as Business Analytics, Economics, Finance, Statistics, Data Science, Epidemiology, and/or related fields. Minimum 5 years of professional experience in building and creating analytical models and algorithms. Minimum 3 years of experience working in the healthcare industry (payer, provider, consulting, etc.). Track record of problem solving, quantitative analytical, and critical thinking skills with advanced knowledge of analytical and programming languages, (e.g., SQL or R, Python). Strong written and verbal communication skills, and ability to collaborate x-functionally. Manage and execute new analytics product solutioning, prototyping, and implementation independently with advanced Tableau skills creating client-facing analytics products. Proven knowledge in using and managing large datasets using medical, pharmacy, and lab claims as well as EHR data. Passionate about improving the U.S. healthcare system and helping ensure every patient receives the best care possible. Self-starter, able to work independently, able to succeed in a fast-paced, high intensity start-up environment. We can't wait to meet you and learn all about you at Cohere Health Equal Opportunity Statement: Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all. To us, its personal. The salary range for this position is $90,000 to $120,000 annually; as part of a total benefits package which includes health insurance, 401k and bonus. In accordance with state applicable laws, Cohere is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including but not limited to qualifications for the role, experience level, skillset, and internal alignment. J-18808-Ljbffr

<p>Job Description - Senior Data Analyst (3310026) The Massachusetts General Hospital Center for Aging and Serious Illness (CASI), a research center within the Mongan Institute at Massachusetts General Hospital, seeks a Senior Research Data Analyst to add to our dynamic and growing team. The mission of the Center for Aging and Serious Illness is to better understand the needs of those living with serious illness and their caregivers, develop new interventions, improve current treatments, and explore new questions at the intersection of aging and serious illness. The research team is responsible for a growing number of clinical studies, observational studies, investigator-initiated primary care, hospital-based and community-based implementation studies. A successful Senior Research Data Analyst will have experience conducting observational data analyses, working with raw data, and using large longitudinal datasets. They will be skilled in data organization, manipulation, and analysis, multiple regression modeling and diagnostics. The ideal candidate has strong analytic and methodological skills, excellent communication skills, experience working with health care data and medical claims data, and the ability to mentor and lead other members of the team. PRINCIPAL DUTIES AND RESPONSIBILITIES: Under the general supervision of the Center for Aging & Serious Illness Director and research faculty, the Senior Research Data Analyst will work collaboratively with our team to perform a variety of activities including assisting with database development, software programming, data management, statistical analysis, and reporting results for a variety of internal and external projects and constituents. This detail-oriented, motivated, and independent individual will work with large national survey, electronic health record (EPIC), and health insurance claims, and administrative datasets. The Senior Research Data Analyst will proficiently use SAS software and/or STATA, SPSS, Python, or R and other technical tools to clean data, build datasets, and run statistical analyses for multiple projects. They will be responsible for translating evaluation questions into analytic plans, constructing analytic datasets by extracting raw data, including medical claims data, from electronic data warehouses and other sources as necessary, producing appropriate data summaries, and conducting valid data comparisons and statistical tests. In collaboration with the Director for the Center for Aging & Serious Illness and Administrative Director for the Division of Palliative Care & Geriatric Medicine, the Senior Research Data Analyst provides leadership through motivating, coaching, training, and mentorship of a Data Analyst. SKILLS & COMPETENCIES REQUIRED: Ability to work well both independently and as part of a team. Strong oral and written communication and presentation skills. Strong analytic and data management skills, especially with clinical and biostatistical analyses. Practical problem-solving and ability to move forward in a fast-paced environment. Ability to prioritize work, operate under tight deadlines, and meet deadlines. Excellent organizational skills, accuracy, and attention to detail. Proficiency with software packages, including Microsoft Office suite. Resilient, collaborative, flexible, innovative. Strong programming skills in SAS and willingness to learn other programming languages as necessary. Advanced knowledge of statistical testing and multivariate modeling required (e.g., logistic and linear regression, longitudinal models) used in Biostatistics/Epidemiology. Experience transforming and analyzing administrative healthcare data (e.g., Medicare/Medicaid, other claims-based or electronic medical records databases (EPIC)) is preferred. Experience with compiling longitudinal datasets for analysis is preferred. SUPERVISORY RESPONSIBILITY: 1.0 FTE data analyst. FISCAL RESPONSIBILITY: Assists in the development, reporting, and oversight of program budgets. Understands and positively impacts the value of efficient data analytics for institutional, grant, or research funded projects. WORKING CONDITIONS: Fast paced and dynamic healthcare research institute. Typical work hours are Monday through Friday daytime hours but may vary based upon individual program or event demands up to and including periodic evenings and weekend days. MGH Main Campus, but periodic travel to other Mass General Brigham Healthcare system and non-MGB program locations will be necessary. Hybrid: Primarily on-site, with telecommuting options available for occasional remote work. QUALIFICATIONS: 5 or more years of healthcare, bioinformatics, and/or advanced statistical analysis. Masters degree required. Massachusetts General Hospital is an Affirmative Action Employer. By embracing diverse skills, perspectives and ideas, we choose to lead. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. J-18808-Ljbffr</p>

Everlight Solar is seeking a skilled Data Analyst who will design and maintain functional programs and applications, producing fully functional software applications according to requirements. As a Data Analyst, you play a key role in serving our clients and team members. This will be a full-time, work-from-home "remote" position. Must own a Mac computer and be fluent with the Apple ecosystem of software (iOS, macOS, iWork, etc.) Everlight Solar is a rapidly growing company and the leader of solar energy in the Midwest. We offer a unique experience that fosters individual growth and rewards performance. Our culture at Everlight is extremely important to us. The work environment is fast-paced and dynamic. We value teamwork, quality, innovation, and customer success. Our ideal candidate is self-motivated, detail-oriented, has excellent problem-solving abilities, is passionate about delivering results on-time, exceeding expectations, and ensuring success for our teams. Responsibilities: Work with large amounts of data to draw meaningful conclusions Develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality Provide regular reporting and analysis to team Develop and maintain dashboards and reports to track key metrics and performance indicators Collaborate with cross-functional teams to identify areas for improvement and to develop solutions to enhance business operations Provide training and support to team members on data analysis techniques and tools Requirements: Minimum two years of experience with DOMO MajorDOMO Certification Required 3 years experience in data analysis, reporting, business intelligence or financial analysis and a Bachelors Degree in Business, Statistics, Mathematics, Analytics, Computer Sciences or related field or equivalent experience 2 years experience in providing people analytics reporting to organizations Demonstrated experience using SQL, and DOMO Experience with sensitive and confidential people data in a global environment Analyze, evaluate, improve, and document processes and workflows. Identify and take advantage of opportunities for process automation and simplification. Proven ability to design and implement new processes and facilitate user adoption. Strong understanding of Salesforce.com best practices and functionality Strong data management abilities A documented history of successfully driving projects to completion A demonstrated ability to understand and articulate complex requirements Excellent project management skills and a positive attitude Must demonstrate exceptional verbal and written communication skills Must demonstrate ability to communicate effectively at all levels of the organization Benefits: Health Insurance Dental Insurance Vision Insurance Life Insurance PTO Sick and Safe Time Paid Holidays Off Salary: $65,000-$100,000/ year Everlight Solar is proudly an Equal Opportunity Employer. We value diversity of all types and are excited to work with talented individuals from a wide range of backgrounds. Everlight is committed to inclusion and we invite people of any race, creed, color, national origin, ancestry, marital status, sexual orientation, gender identity or expression, disability, nationality or sex, age groups (18), and levels of education to apply. Authorized to work in the US and background check required. J-18808-Ljbffr

Data Analyst Jobs in South Boston, MA

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Data Analyst Jobs in South Boston, MA

Healthcare Data Analyst Ii Hybrid BostonDecember 20, 2024

Senior Data AnalystDecember 19, 2024

Data Analyst SeniorDecember 18, 2024

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Quick filters

Top companies

Healthcare Data Analyst Ii Hybrid Boston
December 20, 2024

Senior Data Analyst
December 19, 2024

Data Analyst Senior
December 18, 2024

Senior Data Analyst
December 17, 2024

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