Data analyst jobs in Wellesley, MA - 1,465 jobs

A leading intellectual property law firm in Boston is seeking a dynamic attorney to join their innovative cyber and privacy litigation team. The ideal candidate will have prior litigation experience and strong interpersonal skills, with responsibilities including managing complex disputes, working closely with clients, and conducting court appearances. This role promises significant early responsibility and opportunities for professional growth in a supportive environment. #J-18808-Ljbffr

A global marketing agency is looking for a Senior Director of Performance + Analytics to drive measurement strategies and data-driven insights. The role entails evaluating digital marketing campaigns using tools like Google Analytics and Excel, whilst working in a hybrid environment. A strong candidate will have 8-10 years of digital marketing experience focused on analytics, along with excellent problem-solving skills. The position offers a competitive salary range of $125K to $160K based on experience and location. #J-18808-Ljbffr

Immediate need for a talented Data Scientist II. This is a 11+ Months Contract opportunity with long-term potential and is located in Cambridge, MA (Onsite). Please review the job description below and contact me ASAP if you are interested. Job ID:25-96101 Pay Range: $66 - $72/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Responsibilities: Leverage Bioinformatics, System Biology, Statistics and Machine Learning methods to analyze high-throughput omics datasets, with a specific focus on novel target and biomarker discovery in Neuroscience. Lead computational analyses and data integration projects involving genomic, transcriptomic, proteomic, and other multi-omics data. Provide high-quality data analysis and timely support for target and biomarker discovery projects supporting the organization's growing Neuroscience portfolio. Keep up to date with the latest bioinformatics analysis methods, software, and databases, integrating new methodologies into existing frameworks to enhance data analysis capabilities. Work with experimental biologists, functional area experts, and clinical scientists to support drug discovery and development programs at various stages. Provide computational biology /data science input in research strategy and experimental design, provide bioinformatics input, and assist in interpreting results from both in-vitro and in-vivo studies. Communicate study results effectively to the project team and wider scientific community through written and verbal means, including proposals for further experiments, presentations at internal and external meetings, and publications in leading journals. Key Requirements and Technology Experience: Must have skills: - ["bioinformatics / computational biology ", " Multi-omics data analysis", “Machine Learning & Statistical modeling”, " Biological data integration”, “Python and/or R”, “HPC or cloud computing environments”, “Git / GitHub”] Demonstrated expertise in bioinformatics, computational biology, machine learning, multi-omics data analysis, biological data integration and interpretation. Extensive and demonstrated experience in the computational analysis of multi-modal and multi-scale (e.g. single cell, spatial) molecular profiles of patient-derived samples. Proficient in one or more programming languages (e.g., Python, R) and competent with HPC environments and/or cloud-based platforms. Experience with version control systems, such as Git (e.g., Github). Good working knowledge of public and proprietary bioinformatics databases, resources and tools. Familiarity with public repositories of DNA, RNA, protein, single-cell and spatial profiling data. Ability to critically evaluate scientific research and apply novel informatics methods in translational applications. Strong problem-solving skills, self-motivated, attention to detail, and ability to handle multiple projects. Proven ability to conduct research individually and collaboratively. Proven track record of contributions to peer-reviewed publications in the field of bioinformatics or computational biology. Excellent communication skills (written, presentation, and oral). PhD. in Computational Biology, Bioinformatics, Biostatistics, Computer Science, or a related discipline with a minimum of 2 years of academic or industry experience. MSc in Computational Biology, Bioinformatics, Biostatistics, Computer Science, or a related discipline, with a minimum of 5 years of academic or industry experience. Experience in analyzing neuroscience datasets and working knowledge of neuroscience, especially neurodegenerative diseases. In-depth understanding of drug target and biomarker identification in an industry setting Our client is a leading Pharmaceutical Industry and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type 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. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.

Resupply is looking for an analytical team player to join us on our journey to reinvent and forever change the supply‑chain of charitable contributions within the U.S. We are seeking someone who will be passionate about our mission and partnerships as we turn household goods into emergency relief for those in need. As a Statistical Data Scientist, you will embed yourself within the product development team as a trusted partner to prepare for product releases, measure outcomes, and uncover new opportunities for growth. This role focuses on using data to enhance user experience and improve product performance through thoughtful experimentation, measurement, and analysis. A strong foundation in statistics and comfort with basic programming will enable you to succeed as you build out tests, dashboards, and insights that shape our product roadmap. Our small, tight‑knit team is seeking a candidate who will work closely with us at our Downtown Boston headquarters. We work best when we can all innovate together in an open, collaborative environment. Click to learn how Resupply is forever changing charitable giving: ************************************************ Responsibilities Understand how our data is created, stored, aggregated, cleaned, and how it can be used to inform decision making Apply foundational statistical reasoning to help define and validate product metrics Think critically about how we define our metrics Design, run, and analyze the results of A/B tests Build and maintain clear, reliable dashboards and reports to support new feature development and measure outcomes Perform analyses on product features to answer open-ended questions and provide strategic recommendations to influence the product roadmap Architect and maintain data pipelines and queries that serve as the backbone of our product insights and experimentation efforts Collaborate closely with product and engineering teammates to translate data findings into actionable insights Requirements Bachelor's Degree in a quantitative field (e.g., Math, Statistics, Computer Science, Data Science) Solid understanding of core statistical concepts such as probability, sampling, confidence intervals, hypothesis testing, and the foundations of experimental design Familiarity with A/B testing principles and measuring product outcomes Expertise in SQL and working with relational databases Experience building or maintaining dashboards (e.g., Power BI, QuickSight,) At least 2 years of experience with Python scripting through internships/coursework Experience working on projects that require handling large quantities of data Curiosity, attention to detail, and a passion for using data to influence product decisions Why ReSupply? The opportunity to have a tangible, real‑world impact through your work Join a mission‑driven and service‑oriented culture Flexible PTO and early‑exit Fridays year‑round Complimentary daily lunch in the office Team‑building events 401(k) savings option Medical, vision, and dental benefits 17 paid holidays ReSupply is an equal opportunity employer. As such, it is our policy to fill positions with qualified candidates regardless of the candidate's race, color, sex, age, religion, ancestry, national origin, citizenship status, marital status, sexual orientation, gender identity, genetic information, disability, pregnancy, military status, veteran status or any other protected group status. #J-18808-Ljbffr

The Data Science team is responsible for managing all data analytics, reporting and algorithmic aspects for our client. The data science team is an integral part of every function in the life cycle of the company to provide product, tools, business support. As a data scientist you will work closely with architects, engineers, account managers and data scientists within and outside the company. You will be involved from pre-sales to support. You will work on next generation algorithms development and help measure, maintain and upgrade current business. Qualifications REQUIRED SKILLS Outstanding technical abilities with 5+ years of Scala, Java, or C/C++ development experience with statistical machine learning models Rounded business skills with the ability to understand customer business needs Ability to solve problems practically for clients and internal needs Excellent interpersonal skills with ability to communicate clearly and concisely with executives, engineers, account managers, sales, business partners and data scientists. Ability to respond to customer needs and meet deadlines with accurate work while under pressure Expected to build statistical, optimization and machine learning models followed by detailed pre-production out of sample validation and recommendation for a/b testing experiments with success criteria. Own complete life cycle from problem formulation to solution deployment and maintenance Excellent understanding of computer science fundamentals, data structures, and algorithms Have a strong mathematical background and have experience with modeling complex high dimensional problems Experience performing petabyte scale data analysis and developing meaningful visualizations Must be able to collaborate with architects, engineers, and data scientists within and outside the company. EXPERIENCE Proven to thrive in start up environments Experience defining and building web scale algorithms, reports and visualizations Must be organized, have an eye for detail, and be able to put ideas into a tangible form Ability to prioritize and manage work to critical project timelines in a fast-paced environment and the ability to develop new approaches to complex design problems Experience with developing production grade algorithms for the web scale Preferred - Ph.D. in Computer Science, Operations Research, Physics, Electrical Engineering, Mathematics or other quantitative fields. Experience with Spark, Kaplan, Breeze, map/reduce models a plus Experience modeling stochastic processes, Bayesian learning models, utility theory, game theory a plus Additional Information All your information will be kept confidential according to EEO guidelines. #J-18808-Ljbffr

A dynamic startup in government contracting is seeking a Markets Lead to perform quality analysis and strategy on government contracting data. The ideal candidate will review and improve data quality and create research reports for customers. Candidates are preferred to have some familiarity with government contracting data, and veterans are encouraged to apply. This role offers top-tier benefits, including comprehensive healthcare coverage fully paid by the company, and relocation assistance is available. #J-18808-Ljbffr

Join a leading pharmaceutical company's Data Science team, where you'll drive and lead advanced analytics across Marketing, Sales, and Access. As Associate Director, A HIGH LEVEL INDIVIDUAL CONTRIBUTOR, you'll lead strategic initiatives-from predictive modeling and personalization to field force optimization-delivering scalable solutions that inform commercial decisions and enhance patient engagement. Deep experience in pharmaceutical marketing analytics is essential to translate brand strategy into actionable insights. Keywords: MMM, Next Best Action, NLP, Data Science, HCP, GenAI Location: Onsite 3 days a week in Cambridge, MA Key Responsibilities Lead development and deployment of predictive models, segmentation, NLP, and GenAI tools to solve complex commercial challenges Translate pharmaceutical brand objectives into analytics frameworks across marketing, sales, and access Design and operationalize Next Best Action strategies to boost omnichannel engagement and HCP ROI Build and scale Patient 360 models and targeting algorithms for AI-driven lead generation Guide stakeholders through insight activation and integration into workflows Champion model governance, experimentation, and analytical rigor Collaborate with IT to develop ML Ops environments and productized solutions Manage external analytics partners and ensure alignment across data engineering, insights, and compliance Who You Are A strategic data scientist with strong business acumen, leadership presence, and deep experience in pharmaceutical marketing analytics. You thrive at the intersection of data and action, delivering measurable impact. Qualifications 7+ years in analytics/data science; 4+ years in leadership roles within pharmaceutical industry Proven experience in pharmaceutical marketing analytics, including brand strategy, HCP engagement, and omnichannel optimization Expertise in NBA, MMM, supervised/unsupervised learning, A/B testing, time-series forecasting Success in marketing mix modeling, decision engines, and GenAI product design Proficient in Python, R, SQL, Snowflake; skilled in Power BI or Tableau Familiarity with APLD, PlanTrak, claims, and specialty pharmacy datasets Strong communicator with executive presence and cross-functional influence

The Prospect Management Analyst is a core member of the Trust's prospect management team, responsible for establishing protocols for best practices, devising and leading training for end users. Oversees data integrity and workflow practices between frontline and operational teams, gathering and translating business requirements for report modifications and analytical tools. Responsible for admin of global processes in the Prospect module of Blackbaud CRM, as well as oversight of established portfolio management procedures. Devises and conducts routine auditing and analysis on data in the Prospect Management domain, which underlies performance metrics for gift officer activity and efficacy and related analytics. Responsibilities The Prospect Management Analyst plays a key role in establishing and maintaining the core competencies of Trust staff related to CRM, our integrated enterprise data platform. Consistently meeting business, reporting, and analytics requirements of the Trust's fundraising management. Designs and creates of policy and procedure documents emanating from Trust Data Governance Business Rules for Prospect Management (plans) domains. Maintains version control of documents and modifications as practices evolve. As the key trainer and technical support for Trust administrative staff, the Prospect Management Analyst supports gift officers across all business units, as well as dissemination and communication of changes in business practices (as needed) to Trust admin staff. Leads the records administration of prospect management metadata in CRM conducting bulk uploads and changes, diagnoses integrity and QC issues recommending solutions. Delegates and supervises administrative staff as necessary for fulfillment of prospect management records diagnostics, corrections, and entry projects. Sets the agenda for bimonthly 'CRM Q&A's' with admin staff, featuring Directors and Senior Directors from Data Steering Committee. Participates with Records Management, Prospect Management and other Data Governance task teams as appropriate. Education Requirements A Bachelor's degree and a min of 3 years in a fundraising or direct sales business environment are required. The knowledge of theories, principles and concepts and technical proficiency typically acquired through 2-3 years of experience using an enterprise-level relational database is required. Experience Direct oversight of functions related to data admin, data integrity, and records management preferred. Experience with Blackbaud CRM and Tableau. Understanding of and experience with process management and/or process improvement concepts, and commensurate related skills including communication, coaching ability, persistence, critical thinking and ability to see the big picture. Strong communication, writing, formatting and editing skills and proficiency in writing and/or editing training and support documentation that emphasizes orderly presentation of information and clear instructions. The ability to prioritize, manage multiple tasks, and work under pressure to meet deadlines. May require oversight of entry level and/or temporary data entry operators. May require oversight of learning pathways for administrative and frontline staff related to their proficiency in using CRM to manage their prospects and prospect portfolios. The ability to collaborate with immediate team members as well as Trust staff, donors and volunteers. The posted pay range is Boston Children's reasonable and good-faith expectation for this pay at the time of posting. Any base pay offer provided depends on skills, experience, education, certifications, and a variety of other job-related factors. Base pay is one part of a comprehensive benefits package that includes flexible schedules, affordable health, vision and dental insurance, child care and student loan subsidies, generous levels of time off, 403(b) Retirement Savings plan, Pension, Tuition and certain License and Certification Reimbursement, cell phone plan discounts and discounted rates on T-passes. Experience the benefits of passion and teamwork. #J-18808-Ljbffr

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!****About Quantiphi:****Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed. Quantiphi has seen 2.5x growth YoY since its inception in 2013, we don't just innovate - we lead. Headquartered in Boston, with 4,000+ professionals across the globe. Quantiphi leverages Applied AI technologies across multiple a. Industry Verticals (Telco, BFSI, HCLS etc.) and is an established Elite/Premier Partner of NVIDIA, Google Cloud, AWS, Snowflake, and others. We've been recognized with:Be part of a trailblazing team that's shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here!For more details, visit: or.BI Analyst**Employment Type:**Full-TimeBoston, MA**Role Overview:**Quantiphi is seeking a BI Analyst (HRIS) to design, develop, and manage business intelligence solutions that enhance the accuracy, visibility, and impact of workforce analytics. This individual will collaborate closely with HR and IT teams to ensure data integrity across HR systems and provide actionable insights to drive strategic HR decision-making.The ideal candidate will have deep experience in HR analytics, strong technical proficiency with BI and data tools, and the ability to translate complex data into meaningful business insights.**Key Responsibilities:*** Design, develop, and maintain HR analytics dashboards and reports using BI tools (Power BI, Tableau, or equivalent).* Work closely with HR and IT teams to ensure data accuracy, completeness, and integrity across HR systems.* Extract, transform, and analyze data from Snowflake and other enterprise data sources.* Deliver actionable insights and recommendations to HR and business leaders based on workforce analytics.* Automate data workflows and reporting processes using Python or R.* Collaborate with stakeholders to define and track KPIs and HR metrics for reporting and performance monitoring.* Ensure compliance with data governance, security, and privacy standards.**Basic Qualifications:*** Bachelor's degree in Data Analytics, Computer Science, Human Resources, or a related discipline (or equivalent experience).* Minimum of 8+ years of experience as a BI Analyst or Data Analyst, preferably in HR analytics or HRIS environments.* Hands-on experience with HRIS systems and cloud-based data platforms such as Snowflake.* Proficiency in data visualization tools such as Power BI, Tableau, or Looker.* Strong programming skills in Python or R (mandatory).* Excellent analytical, problem-solving, and communication skills.**Other Qualifications:*** Experience working with HR data models and workforce planning analytics.* Knowledge of HR process automation and data integration best practices.* Familiarity with cloud data architectures and BI reporting in enterprise environments.**What's in it for YOU at Quantiphi:*** Make an impact at one of the world's fastest-growing AI-first digital engineering companies.* Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues.* Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines.* Stay ahead of the curve-immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.*If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us**!** 17x Google Cloud Partner of the Year awards in the last 8 years.* 3x AWS AI/ML award wins.* 3x NVIDIA Partner of the Year titles.* 2x Snowflake Partner of the Year awards.* We have also garnered top analyst recognitions from Gartner, ISG, and Everest Group.* We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators.* We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023.**Role:**8+ years of experience **Experience Level:****Work Location:**Thank you for your interest in Quantiphi! We are a team that dreams together and collaborates to ensure success. We are currently looking for exceptional individuals who can join us and contribute to a fun, diverse and hybrid work culture. As a part of the Quantiphi family, you will get ample opportunities to learn, grow and interact with colleagues from varied experience and backgrounds around the globe. If this excites you, explore our current openings and apply to any job roles that suit and interest you. #J-18808-Ljbffr

About Savills Savills is an organization full of extraordinary individuals. Brilliant people who are driven to succeed, hungry to remain at the forefront of their specialties, and eager to propel themselves, our clients, and our business forward. We are one of the preeminent commercial real estate firms with services ranging from tenant representation and project management to workplace strategy and occupant experience - showcasing the breadth and depth of our expertise. Find your place to thrive No matter the role you're in, we all share one purpose: to help people thrive through places and spaces. The DNA ingrained in our business guides us on this mission, shaping the way we behave to deliver the best results. When you join Savills, our ask for you is simple: Be extraordinary, together. About the role Based in our Savills Boston Studio in Back Bay neighborhood of Boston, the company is seeking a Research Analyst to join our commercial real estate firm. Joining as a Research Analyst provides an opportunity for individuals to work in a research and data services role and gain industry experience and knowledge for a long-term career within the organization's collaborative platform. This immersive position, working under the guidance of the Senior Vice President, Head of Americas Research, blends market analytics, client strategy, and transaction exposure to develop the next generation of real estate leaders. Designed as a launch point into the broader real estate industry at Savills, the candidate will play an active role in market intelligence, data strategy, and client-facing deliverables while collaborating across research, brokerage, and strategy teams. If you feel you possess the ambition, entrepreneurial spirit and drive to excel in the world of top-tiered business then we encourage you to apply. Specific responsibilities to include: Learn, track, and analyze factors including economic data impacting the local commercial real estate market Provide regular updates to, and maintenance of, proprietary market information databases, including building and owner information, stacking plans, lease and sale comparables, tenants in the market, and other key data points Lead the reporting process for quarterly office and industrial market statistics and reports, and assist with national research initiatives Respond to all requests for data and information in a timely and accurate manner Partner with Savills advisors, strategists, and other stakeholders on business development, bespoke client research, and pursuit strategy to transform data into actionable strategies and insights Actively engage in training activities, networking and internal collaboration with nationally dispersed peer group of Researchers Serve as a trusted analytical partner for client-facing teams to prepare pitch and marketing materials on emerging industries and key verticals Develop innovative strategies to track and analyze global and domestic investment, as well as federal and state economic incentive programs Demonstrated interest and comfort using emerging AI platforms (e.g., ChatGPT, automation, and visualization tools) to enhance analytical efficiency and creativity This role is fully in-office in our Boston Studio, giving you the chance to collaborate closely with teammates, immerse yourself in our culture, and learn in real time Qualifications BA or BS Degree in economics, business, data science, real estate or related field Accomplished with Microsoft Office Suite, internet research, and various other types of analytical and presentation software; Salesforce experience a plus Strong analytical, storytelling, and visualization skills with ability to translate data into insightful strategy Excellent communication, interpersonal, and presentation abilities with comfort addressing stakeholders, thought partners, and clients Demonstrated professionalism, initiative, and ability to balance multiple high-priority projects Self-starter with a proactive and curious mindset - driven to identify patterns, trends, and actionable intelligence Ability to multi-task and meet deadlines Savills values a diverse work environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, genetic information, disability, age, veteran status,or any other protected characteristic. Savills participates in the E-Verify program

The Department of Data Science at the Dana Farber Cancer Institute (DFCI) seeks candidates with a strong background in scientific programming. As part of the department's mission to collaborate with basic biologists and clinical researchers to better understand cancer and improve treatment, our department develops new statistical methods and data analysis pipelines. Substantial experience in two or more of: scientific computing; data technologies; user interfaces; containerization; or distributed computing will be required. Much of our work is based on R and related tools and technologies, and experience in package development and advanced computing in the R ecosystem will be essential. We want help extending and improving these, as well as organizing and managing our data, and training our students, postdoctoral faculty, and collaborators in best practices and new developments related to R. We are seeking a data scientist to help with these challenges. The successful candidate will have a unique opportunity to take a leadership role in an exceptional collaborative environment with experts in a wide range of areas, including clinical trials, cancer genetics, immunology, epigenetics, machine learning, Bayesian methods, and alignment algorithms. There is room for growth in this position as the career ladder includes leadership levels. We offer salaries that are competitive with the biotech industry. Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS, and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals. Primary Duties and Responsibilities Meet and consult with scientists requiring data science support and design plans and solutions. Delivery of results for projects. Work as part of the broader team to identify longer-term solutions that will improve quality, speed and efficacy of our current projects and programs. Evaluate and benchmark new libraries; prototype and pipeline development. Knowledge, Skills and Abilities Excellent communication and effective problem-solving skills, track record in serving a variety of diverse customers and projects. Ability to work independently, prioritize, and manage people if needed, within an environment with ever changing priorities. Natural language processing experience preferred. Shiny, Spyre, Flask, WebDev and prototyping experience preferred. JupyterHub, Sun Grid Engine, Google Cloud Platform, AWS experience preferred. Experienced in data science methodologies and techniques, e.g. hypothesis testing, classification, regression, clustering, feature allocation, deep learning, time-series analysis, network modeling, feature selection/engineering. Significant scientific background with prior experience in clinical research. Minimum Job Qualifications PhD or equivalent experience with evidence of impact in data science applied to real life problems in a research setting ideally within a clinical research environment. 5 to 8 years of experience post PhD. Prior experience supervising at least 1 person preferred. License/Certification/Registration Required None Supervisory Responsibilities No Patient Contact None At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are committed to having faculty and staff who offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and compassionate professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply. Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law. EEO Poster Pay Transparency Statement The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate's relevant experience, skills and qualifications. For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA). $131,900.00 - $142,100.00 #J-18808-Ljbffr

A global biotechnology company in Boston seeks a strategic leader for its Data and Analytics team. The role involves driving data-informed decisions, leading the development of an enterprise-wide data marketplace, and ensuring seamless integration within the analytics ecosystem. Ideal candidates will possess 15+ years of experience in data and analytics, specifically within the pharmaceutical or healthcare industry, and a track record in project management and stakeholder communication. #J-18808-Ljbffr

Date Created: Dec 17, 2025 Role: Data Architect - HR Data & AnalyticsLocation: Boston - Hybrid (4 days from office) Role Overview The Data Architect will play a key role in designing and implementing the enterprise HR data architecture to support KKR's global HR analytics, KPIs, and reporting initiatives. This role involves translating complex business requirements into scalable, governed data solutions built on Snowflake and integrated with Workday and other HR systems. The ideal candidate will combine deep technical expertise with a strong understanding of HR data domains, ensuring data integrity, accessibility, and analytical value across the organization. Key Responsibilities Architect & Model: Design and implement scalable, efficient Snowflake data models to support HR analytics, workforce planning, and KPI reporting. Data Integration: Develop and optimize integrations between Workday, Snowflake, and downstream analytics platforms; ensure seamless, accurate data flow across systems. Governance & Quality: Define and enforce data governance, quality, and metadata management standards to ensure data consistency and compliance. Documentation & Metadata: Maintain comprehensive technical documentation and data dictionaries for warehouse structures, transformations, and integrations. Performance Optimization: Monitor and tune ETL/ELT pipelines, ensuring high-performance data transformation and loading processes. Collaboration: Partner with HR, Data Engineering, and Analytics teams to translate business logic into reusable and governed data assets. Testing & Validation: Participate in unit, integration, and regression testing to validate data pipelines and ensure data accuracy. Lifecycle Support: Support data analysis and troubleshooting across the full implementation and operational lifecycle of HR data solutions. Required Experience & Skills Proven experience architecting and implementing solutions on Snowflake or similar cloud data warehouse platforms. Advanced SQL skills and hands-on experience with data transformation and pipeline optimization tools. Strong understanding of ETL/ELT frameworks, data validation, and reconciliation techniques. Demonstrated experience working with HR data structures, Workday, or other HRIS systems. Strong analytical mindset and problem-solving ability, with attention to data integrity and business context. Experience with Python for data engineering, automation, or orchestration tasks. Track record of designing data warehouses or analytical platforms leveraging HR data to drive insights and advanced reporting. Preferred Experience & Skills Experience building and supporting data warehouses specifically for HR and People Analytics domains. Hands-on experience with Slowly Changing Dimensions (SCD Type 2) and historical data management. Proficiency with data visualization tools such as Tableau or Power BI. Experience with ELT frameworks (e.g., dbt) and modern data architecture patterns (e.g., Data Vault, Medallion Architecture). Familiarity with HR processes, compliance standards, and industry best practices related to HR data management and reporting. Experience working in an enterprise environment with cross-functional collaboration between HR, Finance, and Technology teams. #J-18808-Ljbffr

Official Title Accounts Management Analyst II United States-Massachusetts-Chelsea-200 Arlington Street Job Information Systems and Technology Agency Exec Office of Technology Services and Security Schedule Full-time Shift Day Job Posting Number of Openings 1 Salary 77,290.20 - 116,401.48 Yearly Duties and Responsibilities Process employee provisioning, deprovisioning, name changes, and transfer requests in a timely and complete manner. Process and complete requests in Active Directory, Azure, Exchange, O365, OneDrive accounts, and other enterprise systems, software access, and memberships. Process and complete urgent deactivation or reactivation security requests from Human Resource departments. Modify accounts when required, including the update of ServiceNow asset inventory, which will become the authoritative source for information related to a user (hardware and software). Adhere to and follow all documented Accounts Management procedures, policies, and processes. Manage the ServiceNow ticket queue to meet SLAs and maintain and provide clear and concise notes/documentation on all tickets. Work with end users to evaluate and solve Tier 2 technical problems using all technical tools provided, including remote control access. Escalate to Tier 3 support when applicable. Provide knowledge-based article information to be documented when processes and fixes can be made available to end users as well as to other support teams who may be able to resolve the ticket first. Assist with audit requests as requested and required. Help provide quarterly reports to review authorized access within an agency and take corrective action when necessary. Determine the proper format for assembling items of information in accordance with established procedures. Adhere to all quality, organizational, legal, and Commonwealth processes, policies, procedures, and standards. Preferred Knowledge, Skills, and Abilities Three (3) years of experience in technical support or electronic data processing in a large IT enterprise environment. Strong hands-on experience, proficiency, and knowledge of Windows 10, Microsoft O365/Exchange, and Azure functionality. Hands-on experience and knowledge with IT service management ticketing systems, with ServiceNow experience desirable. Proven experience in effectively and efficiently troubleshooting technical problems. Advanced knowledge and hands-on experience with some of the following skillsets: PowerShell Scripting Active Directory MS Intune CoreView Messaging Methodical and able to follow documented procedures and instructions. Ability to keep meticulous and consistent documentation of tickets, processes, and resolutions. Excellent multitasking and time management skills with the ability to prioritize effectively and efficiently. Ability to analyze and interpret problems and their resolutions. Excellent problem-solving and analytical skills, with the ability to independently analyze reported issues, document, and recommend solutions. Excellent customer service skills complimented by an ability to effectively interpret, respond, and clearly communicate problems and resolutions to customers. Ability to work effectively on independent tasks and in a collaborative team with a high level of professionalism and quality. Excellent communication and writing skills with the ability to clearly communicate technical concepts to both technical and non-technical audiences across all levels of an organization. Ability to adjust to changing situations to meet emergencies or changing program/production requirements. Qualifications First consideration will be given to those applicants that apply within the first 14 days. Minimum Entrance Requirements: Applicants must have at least two (2) years of full-time or equivalent part-time professional or practical experience in the field of information technology customer service and end user support, or any equivalent combination of the required experience and the substitutions below. An Associate's degree in a related field may substitute for one (1) year of the required experience. A Bachelor's degree or higher in a related field may substitute for the required experience. Equal Opportunity Statement An Equal Opportunity / Affineces Action Employer. Females, minorities, veterans, and persons with disabilities are strongly encouraged to apply. The Commonwealth is an Equal Opportunity Employer and does not discriminate on the basis of race, religion, color, sex, gender identity or expression, sexual orientation, age, disability, national origin, veteran status, or any other basis covered by appropriate law. Contact Contact Diversity Officer / ADA Coordinator: Emily Hartmann - ********** #J-18808-Ljbffr

The Role We are looking for a forward-looking self-starter who thrives in a fast-paced environment. This individual must combine their validated ability to collaborate and customer focused mentality with solid analytical and development skills to provide creative and complete solutions to complex business and technical problems! The Expertise & Skills You Bring 3+ years of business or systems analysis experience (within financial services industry preferred) Derivative Trade Processing and Collateral Management domain expertise from a business and/or technology Experience with Calypso Configuration & CATT tool Experience in defining clear and concise requirements for and providing support for Financial applications Experience with JIRA, Postman, Excel, SQL, and Microservices based applications preferred Ability to understand the technology and software architecture of an application Strong analysis skills, with a proven track record of delivery of sophisticated technology projects Bachelor's degree or equivalent experience in either Computer Science, Management Information Systems, Business Information Systems, Mathematics or Finance related field Good interpersonal, relationship management and facilitation skills. You are a strong contributor with a dynamic work style Ability to establish and maintain positive relationships with business partners and technology Confident with having trade off conversations with business partners A consistent track record of excellent written and verbal communication skills with business and technical team members across the organization Personal Information First name Last name Email Address City State Zip code Phone number Attachments Attach your Resume Attach Dropbox Paste Attach a Cover letter Attach Dropbox Other Information How did you hear about this position? Your Legal Work Authorization in the US? Are you currently employed? Will you be able to join us on our W-2? What is your desired salary / hourly rate? If on a Visa, will you be able to transfer your Work Visa to us? What is your motivation for Change/New Job Opportunity? If Currently working, what is your Notice period? What is your current location? Are you ready to relocate? Can you provide proof of legal right to work in the United States? If Hired when will you be able to start? #J-18808-Ljbffr

Locust Walk Job Description: Experienced Analyst Office: Boston, MA; must have U.S. Citizenship or Green Card Locust Walk is a global investment bank that partners with founders, executives, and board members to drive strategic transactions and create newcos to finance innovation. Our 17-year history of success was forged through our Co-founder MentalityTM focused on innovators, our local on the ground presence in Boston, San Francisco, Tokyo, and Beijing, and our deep understanding of how science and data translate into actionable transactions and business strategy. Why is this role potentially just right for you? If you are looking to build your career with a fast-growing investment bank and newco creation shop with significant upside potential in position, responsibility, and compensation, we're looking for you. Our Analysts have a strong passion for life sciences and all know this is the career they want long term; in fact, this role is “Partner Track” as we look to find the future leaders of the firm from within. You do not need an MBA to advance through the ranks. You will have the opportunity to work with multiple clients simultaneously on both the sell-side to global players and newco opportunities to create optionality for clients diversifying your experience and providing a highly dynamic environment. The hours are more manageable than an investment bank, the work more execution oriented than a consulting firm, and the atmosphere and work environment more fast paced than working inside a company. A week in life for this role? The focus for the Analyst is to play a key role in executing the Firm's engagements. Our engagements range from executing strategic partnership deals, M&A transactions, and creating Asset-based newcos. Our Analysts assist in identifying target partners and making sure all outreach is coordinated, weekly client updates, and board update materials, producing deal marketing materials, financial valuation and comparable transactions analysis, and deal modeling in support of negations. Analysts will receive significant responsibility and ownership over their work, including multiple opportunities to present to both the firm and clients. Newcos involve creating management presentations, exploring use of proceeds, creating term sheets and valuation analysis for asset originators, drafting investment memos, and assisting with the financing process to launch the company. Business development activities are essential to furthering our growth. An Analyst will oversee the maintenance and updating of our proprietary databases used for our quarterly market conditions as well as preparing thought leadership and analytics. Our senior deal team is dedicated to the professional growth of our Analysts. Each engagement provides a new learning opportunity, and we aim to vary the team members assigned to new clients so that everyone has the chance to work with different colleagues while still gaining exposure to different transactions. Prior positions of responsibility and skills that would be good for this role? Experience in life science consulting, investment banking, venture capital industry or internal biotech business/corporate development is a requirement. We are looking for someone who is currently working in a life science strategy consulting firm (new opportunity prioritization; partnering and M&A strategy; commercial due diligence) or healthcare group of an investment bank and is frustrated by either not seeing their consulting projects through to execution or find banking or equity research too high level and transactional without the ability to impact a company in more material ways. Handing a deliverable to the client and wishing them good luck is not satisfying nor is simply making decks / memos and handing execution to the capital markets or M&A teams. Additionally, if you are in a business development or corporate development role and miss or long for the intellectual stimulation of working in a fast-paced environment on multiple projects but also want to “do deals,” this job is for you. Professional and Academic Prowess. All our team members have different strengths that contribute to the success of our firm. The background for an Analyst position would ideally illustrate the following attributes: Passion for life sciences: some relevant industry experience is preferred. We want to know this is where your passion lies and what to make your career Track record working on transactions in the life science space: working directly or in a supportive role on strategic transactions, M&A, and/or financings is helpful including if at a consulting firm Strong scientific academic track record: While we don't care what school you attended, you must have at least an undergraduate science major if not more since our work is scientifically rigorous. We don't just work on financial analysis. Interest in entrepreneurship and working with early-stage companies: We don't typically work for pharma. Small publicly traded and venture backed companies are our typical clients as well as the newcos we create. The right amount of experience: 12 to 36 months' experience in a life science consulting firm or similar capacity is ideal. We do not take applicants directly out of university but at the same time we want people on the fast track and figured out early this is what they want to do Note: If you do not have prior biopharma consulting, investment banking, equity research, venture capital, corporate development, or business development experience, then unfortunately this job is not the right fit. An MBA from a top institution is a plus but not a requirement with the right work experience. Required Skills to be Successful. While many people can succeed behind the scenes grinding away on work. We are looking for someone with those plus people skills. Basic understanding of financial modeling (don't worry, we will teach you as well) Strong communication skills and comfort presenting in front of clients' senior management, Board, and speaking directly with physicians and other key opinion leaders Excellent written and oral presentation skills A proven track record of working on a team managing up and prioritizing complex tasks across various workstreams Strong competitive spirit balanced by a proven ability to work as part of a team Passion for life science transactions. At our core, we strive to help each of our clients achieve success through finding or creating a strategic partner via a pharma deal or newco. While we do not expect everyone applying to have a deal sheet, a strong interest and desire to “do deals” is important for this role where everything we do revolves around transactions. What is our culture? We look for entrepreneurial, growth-oriented individuals who are committed to the success of others. We have a high-performance culture that rewards creative solutions to daily challenges, as well as a strong work ethic while enjoying the ride. Locust Walk offers a mindful work-life balance within the context of an investment bank. We have a hybrid schedule with 3 days a week in-office and 2 days a week work-from-home. We believe this hybrid in-office culture is critical for our culture of mentorship and promotion from within. We are open and honest with each other and transparent in our dealings. This person needs to live the Locust Walk values. We are looking for people who fit our culture. Culture is very important to us, and that fit is critical. A brief overview of our core values and who we are looking for is below: Commitment to the Success of Our Clients Global team-based culture with individual accountability No team member is left behind: we are committed to succeeding together for the benefit of both our clients and the company Open and Courageous Communication In the spirit of caring for each other's success, we commit to being truthful and transparent in our communication and feedback, both to clients and inside the company, and we do so with empathy and success We commit to thoughtful and rigorous debate and feedback at all levels of the company The Locust Walk Leadership Team always strives to be as transparent as possible with the company Growth Mindset We thrive on challenges and are life-long learners. We are not afraid of failure, yet see it as a springboard Honest bi-directional feedback is important for building trusted, productive relationships. All our reviews are 360. Feedback should be given as soon as possible after an event or situation occurs rather than waiting for the moment to pass Entrepreneurial Spirit We are self-motivated to succeed and will do whatever it takes for our clients to succeed in an ethical manner We will always have a small firm ethos with an entrepreneurial mindset and minimized bureaucracy Enjoy the Ride We care about and for our clients and each other We work hard and integrate fun into the core of what we do. We all have unique interests and find common ways of sharing that with each other Wins are celebrated It's about the journey, not the destination

asset-management, technology, Data & BI Perm Hybrid The Role This is a senior data engineering role embedded within a trading-focused environment, supporting execution, operations research, and quantitative trading teams. You'll help build and maintain the data platform that underpins trading analytics across multiple asset classes. The work is practical and production-oriented - ensuring data is reliable, accessible, and fit for purpose in time-sensitive trading workflows. This role suits someone who enjoys working close to trading and research teams while owning core data infrastructure. What You'll Be Working On Designing and maintaining scalable data pipelines from multiple sources Improving reliability and monitoring of data ingestion processes Transforming raw data into analytics-ready datasets Automating data and analytics workflows where possible Implementing data quality checks and pipeline observability Partnering with quantitative trading teams to enhance platform performance Supporting data used across execution, operations, and research What They're Looking For Strong experience in data engineering or data-intensive environments Hands-on programming experience in Python or similar languages Experience working with high-volume, structured and unstructured datasets Understanding of data quality, monitoring, and automation concepts Exposure to trading data, market structure, or transaction cost analysis is a plus Comfortable working independently and owning initiatives Clear communicator who works well with technical and non-technical partners Background Degree in computer science, engineering, or a related technical discipline Several years of relevant industry experience Track record of improving data platforms in production environments Why This Role Direct alignment with trading and execution teams Ownership over data used in live decision-making Opportunity to improve systems that operate at scale Hybrid working within a collaborative, research-driven culture Apply for this position Full Name Email Phone Linkedin Upload CV/Resume Maximum allowed file size is 8 MB. Allowed Type(s): .pdf, .doc, .docx By using this form you agree with the storage and handling of your data by this website. #J-18808-Ljbffr

A global investment management organization is seeking a Senior Software Engineer to enhance and support Data Governance applications. This role involves managing technical architecture and collaborating with teams on development tasks. Candidates should have a Bachelor's in Engineering and at least 7 years of software development experience. Proficiency in JavaScript, ReactJS, and AWS is crucial, as well as strong problem-solving skills. The position offers competitive compensation and benefits with a flexible working environment. #J-18808-Ljbffr

• Data Pipeline Development: Design, implement, and maintain robust, scalable, and efficient data pipelines using Jenkins for automated data extraction, transformation, and loading (ETL) processes. • Relational Database Management: Manage and optimize relational databases (e.g., MySQL, PostgreSQL) to ensure data integrity, availability, and performance for diverse applications and analytical purposes. • API Integration: Collaborate with software developers to integrate data from various sources through APIs, ensuring seamless data flow between systems and applications. • Data Modeling and Architecture: Create and maintain data models and data architecture to support analytics and reporting needs, ensuring data consistency and proper documentation. • Data Analysis and Insights: Utilize Python and RDS to perform advanced data analysis, interpret complex data sets, and deliver actionable insights to key stakeholders and decision-makers. • Performance Optimization: Identify and resolve performance bottlenecks within data pipelines, databases, and queries to improve system efficiency and response times. • Data Quality Assurance: Implement data quality checks and validation processes to ensure the accuracy and reliability of data throughout the data ecosystem. • Data Security and Compliance: Maintain data security standards and compliance with data protection regulations, implementing necessary measures to safeguard sensitive information. • Collaboration and Communication: Work closely with cross-functional teams, including data scientists, business analysts, and IT, to understand data requirements, develop solutions, and present findings effectively. Skills: • Bachelor's degree or relevant experience in Computer Science, Data Science, Information Technology, or a related field. An advanced degree/experience is preferred. • Proven experience as a Data Engineer, Data Analyst, or a related role with a strong technical background in Jenkins, Relational Databases, APIs, Python, and RDS. • Solid understanding of data modeling, database design principles, and data warehousing concepts. • Proficiency in programming languages like Python, SQL, and RDS for data manipulation, analysis, and automation tasks. • Familiarity with cloud-based technologies, such as AWS, GCP, or Azure, and the ability to leverage cloud services for data management. • Experience with Jenkins for automated build, test, and deployment processes. • Strong problem-solving skills and the ability to troubleshoot data-related issues efficiently. • Excellent communication and collaboration skills to work effectively in a team-oriented environment. • A passion for data-driven decision-making and a keen eye for detail. • Knowledge of data visualization tools (e.g., Tableau, Power BI) is a plus. Cyber Security: • The client is looking for data-security experience within data engineering, not a traditional cybersecurity role. • They want someone who has secured cloud-based ETL pipelines, handled IAM/RBAC, protected data in S3 and RDS, secured Jenkins pipelines, and implemented encryption, access controls, and basic compliance practices as part of their data engineering work. EEO: “Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of - Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”