Data analyst jobs in Chelsea, MA - 1,635 jobs

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

Investment Data Analyst | $60+ B Quantitative Hedge Fund | Boston (hybrid) One of Boston's most prestigious quantitative hedge funds has an exciting opportunity to for a data analyst to work directly with investment teams. This firm is known for their outstanding culture, quality of life, learning opportunities, and retention. This is a great opportunity to grow into a securities data expert, build automation solutions, and onboard new data sets. The Opportunity As a Quantitative Data Analyst, you will play a critical role in supporting investment and operational teams. You'll be at the heart of their data operations, ensuring the integrity and usability of the data that powers their investment decisions. This is a high-impact role with direct exposure to front-office teams and the opportunity to influence investment outcomes through data excellence. Key Responsibilities Data Management: manage the data flow of securities and reference data within internal databases and BlackRock Aladdin Data Validation & Remediation: Identify, investigate, and resolve data quality issues across fixed income and equity datasets. Process Improvement: analyze data and conduct research across multiple databases using Python, SQL, Excel, and 3rd party tooling to create solutions to proactively improve data quality and automate processes Data Onboarding: Collaborate with external vendors and internal stakeholders to evaluate, acquire, and integrate new data sources. Cross-Functional Collaboration: Work closely with investment teams to understand data needs and deliver actionable insights. Required Experience: 3+ years of experience in a data analyst or data engineering role working with investment data and using SQL/Python Experience working BlackRock Aladdin Nice to have: Bachelor's or Master's degree in a quantitative field (e.g., Computer Science, Finance, Engineering, Statistics). Experience with Python for data manipulation, validation, analysis, and automation. Why Join Work directly with top-tier investment professionals and quantitative researchers. Be part of a data-driven culture where your work has immediate and visible impact. Competitive compensation and benefits package. Opportunities for growth, learning, and innovation in a fast-paced environment.

Year Up United is a one-year or less, intensive job training program that provides young adults with in-classroom skill development, access to internships and/or job placement services, and personalized coaching and mentorship. Year Up United participants also receive an educational stipend. The program combines technical and professional training with access to internships and job placement support through our industry-leading talent placement firm YUPRO Placement. If you receive an internship, it may be at Harvard University, Wayfair, Salesforce, or Wellington Management among other leading organizations in the Greater Boston area. Are you eligible? You can apply to Year Up United if you are: - A high school graduate or GED recipient - Eligible to work in the U.S. - Available Monday-Friday throughout the duration of the program - Highly motivated to learn technical and professional skills - Have not obtained a BachelorÊ1⁄4s degree - You may be required to answer additional screening questions when applying What will you gain? Professional business and communication skills, interviewing and networking skills, resume building, ongoing support and guidance to help you launch your career. During the internship phase, Year Up United students earn an educational stipend of $525 per week. In-depth classes include: - Banking - Business Operations - IT Support - Investment Operations - Project Management - Network Security & Support Get the skills and opportunity you need to launch your professional career. 75% of Year Up United graduates are employed and/or enrolled in postsecondary education within 4 months of graduation. Employed graduates earn an average starting salary of fifty-three thousand dollars per year. PandoLogic. Category:General, Location:Somerville, MA-02145

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

Our client is an established biotechnology organization and is seeking a Manufacturing Data Analytics Specialist to support analytics initiatives within a regulated manufacturing environment. This consultant will serve as the business-facing lead for manufacturing data projects, translating operational needs into effective analytics and visualization solutions in close partnership with data engineering teams. This is 12-month role with a strong likelihood of extension. This consultant will need to be onsite in Boston 5 days/week. Responsibilities Act as the business lead and primary liaison between manufacturing stakeholders and data engineering teams. Gather, define, and document business requirements for manufacturing data analytics initiatives. Lead the design and delivery of Power BI dashboards and reporting solutions that support manufacturing decision-making. Collaborate with technical teams using Snowflake and SQL to support data modeling and analytics delivery. Ensure data accuracy, usability, and alignment with manufacturing workflows. Apply data governance best practices and maintain documentation for data products and workflows. Support end-user adoption through training, guidance, and ongoing analytics support. Qualifications Bachelor's degree in Computer Science, Data Analytics, Engineering, or a related field. 3-10 years of industry experience, including work in pharmaceutical or regulated manufacturing environments. Prior experience serving as a business lead, product owner, or functional lead for analytics initiatives. Advanced proficiency in Power BI and hands-on experience with Snowflake and SQL. Strong understanding of MES, LIMS and ERP systems along with manufacturing processes and data governance principles. Excellent communication skills, interpersonal skills, and the ability to translate technical concepts into business insights.

Be part of our team The Global Head of Data Science is a strategic leadership role responsible for overseeing computational science, biostatistics and data management functions bringing computational solutions to research and development. This leader will design the data roadmap to accelerate drug discovery, optimize clinical trials, regulatory submissions, and, as applicable, accelerate development processes using AI and machine learning (ML). The Head of Data Science will be part of a highly collaborative and cross-functional Development Leadership Team driving the full life-cycle development of our antibody-drug conjugates (ADCs) global clinical trials. They will play an important role in defining and executing the overall product development strategy for Tubulis. This position will report to the Chief Medical Officer and be based in Boston, MA or possible remote opportunities within other locations within the U.S. Your mission Lead,overseeand executebiostatistics, statistical programming, data management, and data science activities for preclinical and clinical studies across the global portfolio. Develop and communicate the vision and mission of the biostatistics and data sciences platform, driving strategic plans to achieve organizational goals. Partner with leaders across biology, chemistry, clinical development, and IT to integrate data-driven insights into the end-to-end drug development lifecycle. Oversee the creation of predictive models for clinical outcomes, efficacy, safety profiles, and asset prioritization using multi-modal data. Ensureappropriate design, collection, management, statistical analysis, and reporting of clinical study data, supporting the entire study data lifecycle. Establish robust data management frameworks ensuring data quality, integrity, and security while adhering to global regulatory standards like GxP, HIPAA, and FDA 21 CFR Part 11. Drive standardization, harmonization, and process optimization to increase productivity, quality, and reduce cycle times and costs. Allocate resources globally to deliver high-quality,timelyoutcomes aligned with study and projectobjective. Foster innovative scientific methodologies and the adoption ofnew technologiesforstate-of-the-artstatistical analyses and data reporting. Establish andmaintainframeworks for regulatory (GxP) compliance and consistency in statistical planning, analysis, and data management tasks. Liaise with regulatory agencies, academic opinion leaders, and cross-functional teams to ensure scientific rigor and regulatory alignment. Contribute to the development and execution of outsourcing strategies to optimize operations. Your profile PhD or equivalent in Computational Biology, Bioinformatics, Computer Science, Biostatistics, or a related scientific/quantitative field. Extensive experience (10+ years) in biostatistics and data management withinapharmaceutical, biotech and academic environment. Proven leadership experience managingand buildingdiverse and high-performing global teams. Deep knowledge of scientific decision processes integral to research and regulatory submissions. Experience in leading preclinical and clinical research projects and familiarity with regulatory requirements and clinical data lifecycle. Must have experience working within Oncology clinical trials. Experience supporting pivotal Phase III programs and proven statistical expertise in statistical planning, study design, data. Ability to develop vision and strategy for biostatistics and data science functions. Ability to foster innovation and continuous improvement in biostatistics and data management process. Proactive and independent thinker and strong team player. Strong organizational, communication, and personnel management skills. Entrepreneurial and problem-solving mindset. Why us? At Tubulis, curiosity and innovation drive us to transform cancer treatment. We are a fast-growing biotech where science meets passion-and where you have the chance to grow with us. Impact that matters: Contribute to breakthrough therapies. Global mindset: Work in an international, diverse team. Grow & thrive: Develop your career in a supportive, fast-moving environment. Innovation every day: Push boundaries with cutting-edge science. At Tubulis, your ideas matter, your growth matters-and together, we make a difference. The development of novel, effective and safe therapies for the treatment of cancer is one of the main challenges for modern medicine. We want to drive this process forward. The main goal of Tubulis is to become a leading company in the field of targeted therapeutics and antibody-drug conjugates (ADCs). With a strong team, our own technologies and innovative therapeutic concepts, we are ushering in a new era in the ongoing fight against cancer and share the vision of helping patients world-wide. Be part of a multidisciplinary and focused team, that works towards getting novel promising ADCs to patients with solid and hematological cancers. #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 mission-driven organization in Boston is seeking a Statistical Data Scientist to enhance user experience and product performance through data analysis. The ideal candidate will have a Bachelor's degree in a quantitative field and experience in statistical reasoning, SQL, and Python scripting. Responsibilities include running A/B tests and collaborating with product teams to translate insights into actionable strategies. The role offers flexible PTO, team-building events, and comprehensive benefits. #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

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

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

A leading provider of decisioning solutions is seeking a Senior Professional Services Consultant for their Boston office. This role demands over 10 years of experience in the insurance industry, specializing in predictive modeling and analytics. You will influence client decisions and shape pricing strategies using advanced methods. Clear communication and client relationship building are essential. The position offers an opportunity to make impactful insights with high visibility to executive leadership. #J-18808-Ljbffr

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 leading analytics firm is seeking a Data Architect to design and implement HR data architecture, supporting global analytics and reporting initiatives. The ideal candidate will utilize Snowflake, optimize data pipelines, and collaborate with HR and data engineering teams. Key qualifications include advanced SQL skills, experience with Workday and HR data structures, and a strong problem-solving ability. This hybrid role offers flexibility with a strong focus on data integrity and governance. #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

A leading technology company in Boston is seeking a Senior Software Engineer for its AI & Analytics Data Enablement team. In this role, you will design scalable data pipelines, lead engineering projects, and collaborate on defining data strategies. The ideal candidate has over 6 years of experience, strong skills in SQL and Python, and a focus on data engineering best practices. This position offers a competitive salary, ranging from $152,000 to $228,000 USD, and a comprehensive benefits package. #J-18808-Ljbffr

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

Suffolk is a national enterprise that builds, innovates and invests. Suffolk is an end-to-end business that provides value throughout the entire project lifecycle by leveraging its core construction management services with vertical service lines that include real estate capital investment, design, self-perform construction services, technology start-up investment (Suffolk Technologies) and innovation research/development. Suffolk - America's Contractor - is a national company with more than $5.0 billion in annual revenue, 2,600 employees, and main offices in Boston (headquarters), New York City, Miami, West Palm Beach, Tampa, Estero, Dallas, Los Angeles, San Francisco, and San Diego. Suffolk manages some of the most complex, sophisticated projects in the country, serving clients in every major industry sector, including healthcare, life sciences, education, gaming, transportation/aviation, government, mission critical and commercial. Suffolk is privately held and is led by founder, chairman and CEO John Fish. Suffolk is ranked #8 on ENR's list of “Top CM-at-Risk Contractors.” For more information, visit****************** follow Suffolk on Facebook,Twitter,LinkedIn,YouTube,and Instagram. At Suffolk, we believe that our total rewards program should offer you and your family the support you need when it matters most. That's why we have created a program that provides employees with access to a wide variety of options that can be personalized to support you and your loved ones physically, emotionally, and financially. Benefits include, competitive salaries, auto allowances and gas cards for certain roles, access to market leading medical and emotional and mental health benefits, dental, and vision insurance plans, virtual care options for physical therapy and primary care, generous paid time off, 401k plan with employer match and access to expert financial resources, company paid and voluntary life insurance, tax deferred savings accounts, 10 backup daycare days each year, short- and long-term disability, commuter benefits and more. For more information, click here. Role Summary Suffolk is scaling its Data and AI team to deliver real-time, predictive insights across the build lifecycle. We're hiring a hands-on Data Architect to design, build, and operate the semantic layer, automated data quality controls (including AI-assisted checks), lineage, and access patterns that make our data discoverable, trusted, secure, and agentic AI ready. Reporting to the Director of Data Management, this individual will create reusable models/metrics, embed governance as code, and ensure every data product meets targets for reliability, availability, and semantic interoperability. Responsibilities Evolve lakehouse and platform architecture Own the target architecture for Databricks on AWS (S3/EC2, Delta Lake, Unity Catalog, MLflow/Model Registry, Delta Live Tables) and the interfaces to Agentic AI stack/BI/IDE and downstream apps Design ingestion and serving patterns, data contracts, and API/SQL access layers for internal consumers and agentic use cases Plan platform evolution (governed multi-workspace layout, environment separation, lineage/observability) and drive high-impact upgrades and migrations with low downtime Champion IaC & CI/CD (e.g., Terraform + GitHub Actions) for reproducible workspaces, catalogs, pipelines, and policies Evolve enterprise data catalog, lineage & semantic layer Deploy and maintain data catalog across Databricks Build & evolve the semantic layer - design subject area models, define conformed dimensions and governed metrics, and expose them for BI, APIs, and AI agents Extract business rules currently embedded in dashboards / SQL and refactor them into reusable transformations, tests, and metric definitions Implement and maintain lineage, technical and business metadata, and documentation across Databricks Unity Catalog; ensure LLM-friendly metadata for RAG and AI agents Lead scaling of the Master data (Project, Vendor, Budget, People etc.) and golden record rules Implement automated data-quality & reliability controls Embed rule-based and ML anomaly tests into pipelines and semantic layer Define and monitor SLAs (latency ≤ 15 min, uptime ≥ 99 %) with incident playbooks Drive continuous improvement to cut quality issues by 90 % year-over-year Operationalize security & privacy by design for analytical data stack Partner with CISO to maintain security of cloud infrastructure for analytics and AI Develop and implement data classification and access framework Own annual assessments and audits for analytical data stack Ensure adherence to all applicable data regulations and policies Build model & AI governance framework Establish model registry, bias/drift monitoring, and audit trails for all predictive and GenAI models Partner with Data Science to integrate governance checkpoints into pipelines Drive adoption & data literacy Champion “data-as-a-service” culture-making trusted data and insights the default for project teams Qualifications 5+ years in data architecture/engineering within a modern cloud stack; 2+ years owning a semantic/metrics layer at scale Strong SQL/Python with Delta Lake, Unity Catalog, MLflow/Model Registry; experience with Delta Live Tables (or equivalent) for transformations Proven track record standing up enterprise catalog/lineage and data quality automation Working knowledge of access control patterns, data classification, and PII protections in analytical stacks; partners effectively with security teams Excellent stakeholder skills, able to translate governance concepts to the broader teams Working Conditions While performing the duties of this job, the employee is regularly required to sit for long periods of time; talk or hear; perform fine motor, hand and finger skills in the use of a keyboard, telephone, or writing. The employee is frequently required to stands; walk; and reach with arms and/or hands. Specific vision abilities include close vision, distance vision, depth perception and the ability to adjust focus. The employee will spend their time in an office environment with a quiet to moderate noise level. Job site walking. EEO Statement Suffolk provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, pregnancy or maternity, national origin, citizenship, genetic information, disability, protected veteran, gender identity, age or any other status protected by law. This policy applies to recruiting, hiring, transfers, promotions, terminations, compensation, benefits, and all other terms and conditions of employment. Suffolk will not tolerate any unlawful discrimination toward, or harassment of, applicants or employees by anyone at Suffolk, or anyone working on behalf of Suffolk. #J-18808-Ljbffr