Data analyst jobs in Auburn, MA

first PRO is now accepting resumes for a Business Systems Analyst, Treasury & Investment Finance Systems in Boston, MA. This is a direct hire role and onsite 3 days per week. TECHNOLOGY EXPERIENCE Experience with treasury management systems such as GTreasury, Kyriba, Bellin, HazelTree, Reval, etc. (required) Experience configuring or supporting the Salesforce platform (preferred) Exposure to FX hedging tools such as Kyriba (preferred) Experience with cash projection and liquidity reporting (preferred) Understanding of SWIFT messaging (MT messages / ISO 20022 standards) and U.S. payment networks (ABA, ACH) (required) Experience implementing and maintaining SaaS platforms Hands-on experience building or maintaining system integrations (APIs) Familiarity with iPaaS tools such as Workato or Power Automate (preferred) Experience with business intelligence and reporting tools (Tableau, Power BI) QUALIFICATIONS Bachelor's or advanced degree in Computer Science, Information Systems, Finance, or a related discipline Master's degree with a concentration in Technology or Systems (preferred) Minimum of 3 years of relevant professional experience At least 2 years of experience implementing and supporting Treasury or Cash Management solutions

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

We're seeking a Business Systems Analyst to provide analytical expertise and support a variety of initiatives within a data operations and technology team. In this role, you will research, elicit, analyze, validate, and document business requirements, ensuring they accurately reflect business needs and stakeholder expectations. You'll also translate business needs into system/application requirements, assist in producing functional requirements for tool development, and collaborate with project managers to manage changes, identify risks, and support feasibility studies and implementations. Minimum Qualifications: Knowledge of health care financing concepts and a broad understanding of the health care provider sector Proven ability to build relationships and work collaboratively while managing scope and expectations Strong planning, communication, and change management skills Advanced analytical skills with proficiency in Excel, Tableau, and data visualization tools Excellent attention to detail and strong interpersonal skills Nice to Have Experience with financial documents and financial analysis techniques Ability to present innovative solutions and “out of the box” thinking Responsibilities Research, elicit, analyze, and document business requirements for projects Translate business needs into system/application requirements and project components Assist in producing functional requirements for tool development Collaborate with project managers to manage changes, identify risks, and maintain expectations Support proposals, feasibility studies, and new business development initiatives What's In It For You Weekly paychecks Opportunity to work on impactful data projects Collaborative team environment with professional growth potential EEO Statement: Eight Eleven Group provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, national origin, age, sex, citizenship, disability, genetic information, gender, sexual orientation, gender identity, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state, and local laws.

This is a FULL-TIME direct hire role. No C2C or 3rd party candidates The role would be ON-SITE 2 days a week, and work from home 3 days a week Must have experience working with Aladdin and similar investment management platforms and systems Client can NOT sponsor or transfer work visas (this also will exclude candidates on a student visa that would need sponsorship in the future) _________________________________________________________________________________________________________ Business Systems Analyst - Investment Data Overview We are seeking a mid-level Business Systems Analyst with a strong focus on investment and reference data. This role serves as a key liaison between business stakeholders and technology teams, supporting data quality, system workflows, and production processes across investment platforms. The ideal candidate understands investment instruments, data lifecycles, and how data moves across front-, middle-, and back-office systems. Key Responsibilities Act as a business systems analyst supporting investment and reference data platforms, serving as a primary point of contact between business users and technology teams. Analyze end-to-end data flows, understanding how investment data is sourced, transformed, and consumed across multiple systems. Support and maintain reference data for multiple asset classes, including equities, fixed income, derivatives, futures, and options. Respond to daily requests from trading, compliance, operations, and reporting teams, including time-sensitive production issues. Write and execute SQL queries to analyze data issues, validate workflows, and support root-cause analysis. Monitor, enhance, and define data quality controls and exception reporting. Gather and document business requirements for new data fields, datasets, and workflow changes; partner with developers to design, test, and implement solutions. Perform production support and troubleshooting, ensuring data accuracy and system stability. Participate in Agile development activities, including backlog refinement, sprint planning, and representing business priorities. Identify and recommend process improvements to enhance data quality, controls, and operational efficiency. Required Qualifications 3 years experience working with investment platforms ideally Aladdin OR comparable systems (Bloomberg, PACE, Charles River, Calypso). 3-8 years of experience as a Business Systems Analyst, Data Analyst, or similar role within investment management or financial services. Strong understanding of investment instruments, particularly fixed income and derivatives. Hands-on experience writing SQL queries and analyzing relational data. Experience working with investment platforms such as Aladdin or comparable systems (Bloomberg, PACE, Charles River, Calypso). Proven experience supporting front- and back-office stakeholders in a production environment. Strong analytical, documentation, and communication skills. Ability to manage multiple priorities and operate effectively under tight deadlines. Willingness to participate in an on-call rotation as needed. Preferred Qualifications Experience using Python for data analysis, automation, or workflow support. Familiarity with data engineering concepts, data modeling, and data governance. Experience with Eagle PACE or similar accounting/reference data platforms. Prior experience working in Agile or Scrum-based development environments.

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

The Business Analyst can work from either Boston, MA or Springfield, MA office in Hybrid capacity. As a Business Analyst, you will drive translating business needs into the requirements for Processes and Technology to execute on supporting our customer and employee experiences. To be successful, you will: Document business requirements with detailed technical specifications Understand process flows and ensure interconnectivity of systems and applications Act as a liaison between Underwriting and other teams and advocate for necessary changes Translate customer and employee needs into documented, actionable solutions with clear measurement mechanisms in service of business outcomes Provide proper documentation for the Product team to prioritize features and enhancements against a prioritization framework Support Business owner, Product Manager and peers to align requirements to roadmaps Proactively identify opportunities to improve business processes by maintaining a strong knowledge of available and upcoming features delivered by external vendors Update procedural and processes changes Ensure development outputs meet business expectations by maintaining strong cross-functional relationships with technical and architecture teams Keep change management principles in mind, to work with the team to establish launch readiness in response to system and process updates Work independently and with management on highly visible, divisional/cross-divisional complex products and projects Be sought as a key resource for documentation of unique or complex business problems Drive continuous improvement and efficiencies beyond own scope of responsibility Required Qualifications: Bachelor's degree 7+ years' experience supporting projects and driving execution of complex technical work Business Analyst experience for Underwriting systems Understanding of Waterfall and Agile processes and documentation Strong requirements documentation skills Ability to drill down from the big picture to process details Ability to think strategically Ability to collaborate across diverse teams and organizations Preferred Qualifications: Individual who enjoys solving complex problems and improving team processes Lide underwriting knowledge Exposure to customer experience/user experience practices Proven ability to partner with cross-functional teams to design, configure, test, and deploy Demonstrated ability to adapt to changing business priorities Experience with additional requirements tools including JIRA and Confluence

Daice Labs, founded by MIT CSAIL scientists, builds hybrid frameworks that integrate LLMs/DL with symbolic reasoning and bio-inspired system design to create adaptable AI systems capable of continual learning and explainable decision-making. Daice Labs operates under two main tracks: the Product Lab, which focuses on building a collaboration platform where human teams co-build with hybrid AI, and the AI Research Lab, which uses principles of natural intelligence to guide the design of hybrid AI architectures. We believe the next leap in productivity comes from the collaboration between human teams and specialized AIs working together on shared contexts. Role Description This is a full-time remote Data Analyst Intern role. The intern will be responsible for collecting, analyzing, and interpreting complex data sets to support decision-making processes. Day-to-day tasks include data modeling, utilizing statistical techniques to uncover insights, preparing comprehensive data visualizations, and presenting findings clearly. The intern will also collaborate with cross-functional teams to ensure the alignment of analytical results with organizational goals. Qualifications Proficiency in Analytical Skills and Data Analytics Strong understanding of Statistics and ability to perform data analysis Experience with Data Modeling and working with structured or unstructured data Effective Communication skills to present and explain findings to diverse stakeholders Familiarity with programming languages such as Python, R, or SQL is a plus Strong problem-solving mindset and ability to work independently or collaboratively Currently pursuing a degree in Data Science, Statistics, Computer Science, or a related field

Ness is a full lifecycle digital engineering firm offering digital advisory through scaled engineering services. Combining our core competence in engineering with the latest in digital strategy and technology, we seamlessly manage Digital Transformation journeys from strategy through execution to help businesses thrive in the digital economy. As your tech partner, we help engineer your company's future with cloud and data. For more information, visit ************ Data Architect - HR Data & Analytics Boston, MA (3-4 days onsite a week) 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. Ness is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law

The Wissen team continues to expand its footprint in the Canada & USA. More openings to come as we continue to grow the team! Please read below for a brilliant career opportunity. Role: Data Modelling Architect Title: Vice President Location: Boston, MA (Day 1 Onsite/Hybrid) Mode of Work: 3 days per week onsite required Required experience: 10+ Years Job Description We are looking for an experienced Data Modelling Architect to design and optimize enterprise data models supporting risk, regulatory, and financial domains. The role requires strong expertise in conceptual, logical, and physical data modelling, along with working knowledge of Financial Risk or Operational Risk frameworks used in global banking environments. Required Skills 10-12 years of strong experience in data modelling and data architecture. Expertise in ER modelling, dimensional modelling, and industry-standard modelling methodologies. Hands-on experience with tools like Erwin, ER/Studio. Strong SQL and experience with relational databases and distributed/cloud data platforms. Working knowledge of Financial Risk, Operational Risk, or regulatory risk data (Credit Risk, Market Risk, Liquidity Risk, RCSA, Loss Events, KRI, etc.). Experience supporting regulatory frameworks such as Basel II/III, CCAR, ICAAP, or similar. Ability to work with cross-functional teams across global locations. Excellent communication and documentation skills. Benefits: Healthcare insurance for you and your family (medical, dental, vision). Short / Long term disability insurance. Life Insurance. Accidental death & disability Insurance. 401K. 3 weeks of Paid Time Off. Support and fee coverage for immigration needs. Remote office set up stipend. Support for industry certifications. Additional cash incentives. Re-skilling opportunities to transition between technologies. Schedule: Monday to Friday Work Mode: Hybrid Job Type: Full-time We are: A high end technical consulting firm built and run by highly qualified technologists. Our workforce consists of 5000+ highly skilled professionals, with leadership from Wharton, MIT, IITs, IIMs, and NITs and decades of experience at Goldman Sachs, Morgan Stanley, MSCI, Deutsche Bank, Credit Suisse, Verizon, British Telecom, ISRO etc. Without any external funding or investments, Wissen Technology has grown its revenues by 100% every other year since it started as a subsidiary of Wissen Group in 2015. We have a global presence with offices in the US, India, UK, Australia, Mexico, and Canada. You are: A true tech or domain ninja. Or both. Comfortable working in a quickly growing profitable startup, have a “can do” attitude and are willing to take on any task thrown your way. You will: Develop and promote the company's culture of engineering excellence. Define, develop and deliver solutions at a top tier investment bank or another esteemed client. Perform other duties as needed Your Education and Experience: We value candidates who can execute on our vision and help us build an industry-leading organization. Graduate-level degree in computer science, engineering, or related technical field Wissen embraces diversity and is an equal opportunity employer. We are committed to building a team that represents a variety of backgrounds, skills, and abilities. We believe that the more inclusive our team is, the better our work will be. All qualified applicants, including but not limited to LGBTQ+, Minorities, Females, the Disabled, and Veterans, are encouraged to apply. About Wissen Technology: The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015. Wissen Technology is a specialized technology company that delivers high-end consulting for diverse industries, including Banking, E-commerce, Telecom, Healthcare, Manufacturing, and Energy. We help clients build world-class products. We have offices in the US, India (Bangalore, Hyderabad, Chennai, Gurugram, Mumbai, Pune), UK, Australia, Mexico, Vietnam, and Canada. We empower businesses with a dynamic portfolio of services and accelerators tailored to today's digital demands and based on future ready technology stack. Our services include Industry Leading Custom Software Development, AI-Driven Software Engineering, Generative AI & Machine Learning, Real-Time Data Analytics & Insights, Interactive Data Visualization & Decision Intelligence, Intelligent Process Automation, Multi-Cloud & Hybrid Cloud Strategies, Cross-Platform Mobile Experiences, CI/CD-Powered Agile DevOps, Automated Quality Engineering, and cutting-edge integrations. Certified as a Great Place to Work for five consecutive years (2020-2025) and recognized as a Top 20 AI/ML vendor by CIO Insider, Wissen Group has delivered multimillion-dollar projects for over 20 Fortune 500 companies. Wissen Technology delivers exceptional value on mission-critical projects through thought leadership, ownership, and reliable, high-quality, on-time delivery. Our industry-leading technical expertise stem from the talented professionals we attract. Committed to fostering their growth and providing top-tier career opportunities, Wissen ensures an outstanding experience and value for our clients and employees. We Value: Perfection: Pursuit of excellence through continuous improvement. Curiosity: Fostering continuous learning and exploration. Respect: Valuing diversity and mutual respect. Integrity: Commitment to ethical conduct and transparency. Transparency: Open communication and trust. Website: ************** Glassdoor Reviews: ************************************************************* Wissen Thought leadership: https://**************/articles/ Latest in Wissen in CIO Insider: ********************************************************************************************************************** Employee Speak: *************************************************************** LinkedIn: ************************************************** About Wissen Interview Process: https://**************/blog/we-work-on-highly-complex-technology-projects-here-is-how-it-changes-whom-we-hire/ Wissen: A Great Place to Work https://**************/blog/wissen-is-a-great-place-to-work-says-the-great-place-to-work-r-institute-india https://**************/blog/here-is-what-ownership-and-commitment-mean-to-wissenites/ Wissen | Driving Digital Transformation A technology consultancy that drives digital innovation by connecting strategy and execution, helping global clients to strengthen their core technology. Job Type: Full-time Work Location: In person

Data Engineer (HR Data Systems) Boston, MA 3-4 days onsite a week Pay Rate: $105/Hr Key Responsibilities: Translate business needs into data modeling strategies and implement Snowflake data models to support HR analytics, KPIs, and reporting. Design, build, and maintain Snowflake objects including tables, views, and stored procedures. Develop and execute SQL or Python transformations, data mappings, cleansing, validation, and conversion processes. Establish and enforce data governance standards to ensure consistency, quality, and completeness of data assets. Manage technical metadata and documentation for data warehousing and migration efforts. Optimize performance of data transformation pipelines and monitor integration performance. Design, configure, and optimize integrations between Workday and third-party applications. Participate in system testing including unit, integration, and regression phases. Support data analysis needs throughout the implementation lifecycle. Required Experience & Skills: Experience with Snowflake or similar data warehouse platforms Strong SQL skills and experience with data transformation tools Experience with ETL processes and data validation techniques Understanding of HR data structures and relationships Excellent analytical and problem-solving abilities Experience with developing with Python Exposure to Data Warehousing solutions leveraging data from Workday or other HRIS such as SuccessFactors, etc. to support advanced reporting and insights for an 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.

For over 16 years, Trilyon has been a leader in global workforce solutions, specializing in Cloud Technology, AI/ML, Software Development, Technical Writing, and Digital Transformation. We partner with top companies to deliver high-quality talent in engineering, IT, and emerging technologies. For additional information or to view all of our job opportunities, please visit our website ************************************ We are seeking an AI Data Architect to join our team. This role will involve designing and leading data and AI architecture solutions, collaborating with business stakeholders, and driving end-to-end solution closures. The ideal candidate will have extensive experience in retail data architecture, cloud data platforms, and AI/ML technologies, along with a passion for building scalable, data-driven AI solutions. Job Title: AI Data Architect Location: Waltham, MA Duration: 6 months Job Description: The AI Data Architect will be responsible for leading data architecture and AI initiatives, with a strong focus on retail domain solutions. Key responsibilities include: Leveraging 10+ years of retail domain experience to design and guide data and AI solutions. Working independently with business stakeholders to understand requirements, propose solutions, and drive solution closures. Applying strong proficiency in AI/LLM technologies, including prompt engineering and development of LLM-based agents. Designing and managing cloud data platforms with mandatory 5+ years of experience in Snowflake or Databricks. Establishing data architecture and governance frameworks, including standards, security, compliance, and continuous improvement of existing architectures. Writing advanced SQL queries for data analysis, profiling, and supporting foundational AI and analytical systems. Developing and deploying machine learning solutions using Python, with hands-on experience in MLOps and CI/CD orchestration, and integrating models into big data platforms. Building scalable application architectures using Python, Streamlit, and YAML, particularly for chatbot applications. Providing technical leadership with 5+ years of experience in solution architecture or technical lead roles, including mentoring engineers and leading projects. Why Join Us? Trilyon, Inc., offers a comprehensive benefits package. Opportunities for growth and professional development. Collaborative and inclusive company culture. Equal Employment Opportunity (EEO) Statement: Trilyon, Inc., is an Equal Opportunity Employer committed to diversity, equity, and inclusion. We do not discriminate based on race, color, religion, gender, gender identity, sexual orientation, national origin, age, disability, veteran status, or any other protected status under applicable laws. Our diverse team drives innovation, competitiveness, and creativity, enhancing our ability to effectively serve our clients and communities. This commitment to diversity makes us stronger and more adaptable.

Davis is a vertically integrated real estate investment, development and management firm that leverages five decades of experience, the strength of its leadership team and employees and a diversified portfolio to deliver maximum value for its investors and tenants. Headquartered in Boston and investing across the United States, Davis prides itself on taking a nimble, collaborative approach to delivering best-in-class results from complex opportunities. With $12.8 billion in gross asset value invested through real estate equity, debt and fixed-income securities, Davis today owns a real estate portfolio of approximately 15.2 million square feet of healthcare and life science, industrial, retail, office and hospitality properties and more than 5,800 residential units across the United States. For further information, visit ************************* Role & Responsibilities Specific responsibilities include: • Provide support across all three verticals; Multifamily, Industrial, and Science & Technology, while allowing for specialization based on prior experience and the evolving needs of the business. • Writing, preparing and assembling Investment Committee memos with input from senior members of Asset Management team and the Vertical. • Participate actively in the assigned Vertical, contributing to annual business plan preparation and regular investments analysis. • Integral point-person that coordinates and communicates with various departments to execute the asset-level business plan and implement actions to create value. • Assist senior Asset Management team through creation of financial analyses on portfolio operations, including creation of cash flow, hold/sell and distribution models. • Monitor the performance of existing investments and identify potential areas of concern or opportunity. • Prepare quarterly valuations and reports by updating model assumptions, inputting property-level activity, and completing investor reports. • Assist team members in dispositions or refinancing processes. • Maintain databases, records, and assist Investor Relations in completing portfolio management activities. • Conduct market research, data mining, and collect competitive property transaction information. Conduct market research, data mining, and collect competitive property transaction information. • Portfolio Data Management, date tracking and analysis. • Other responsibilities and requirements as required by manager or company. Skills & Qualifications • Bachelor's Degree and a minimum of 2-5 years of real estate experience, with a preference for experience within the various asset classes. • Understanding of commercial real estate industry (supply/demand, revenue and expense drivers, forecasting, reporting, leasing and marketing). • Ability to create detailed financial models demonstrating exceptional proficiency with Excel; proven comprehension of complex analyses (e.g. different debt structures, ground leases, waterfalls, etc.). • Ability to synthesize information, create structure for analyses, draw informed conclusions, and present to senior leaders. • Ability to solve practical problems and manage multi-variable situations with limited standardization. • Exceptional written and oral communication skills, with acute attention to detail. • Project management skills and the ability to multitask and prioritize workload efficiently and effectively with little direction. • Experience managing complex capital/redevelopment projects for an ownership group preferred. • Ability and willingness to travel up to 20% of the time. Compensation & Benefits: Salary Range: $90,000- $95,000 Compensation will include a bonus and an attractive benefits package. We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), national origin, age (40 or older), marital status, sexual orientation, gender identity/expression, citizenship, real or perceived disability or handicap, genetic predisposition, veteran status, and/or any other protected category in accordance with applicable federal, state or local law.

Hi, this is Eric 👋 We're hiring a stellar Data Engineer to join our engineering org at Basil Systems. At Basil Systems, we're revolutionizing healthcare data access and insights for the life sciences industry. We've built powerful platforms that help pharmaceutical and medical device companies navigate complex regulatory landscapes, accelerate product development, and ultimately bring life-saving innovations to market faster. Our SaaS platforms transform disconnected data sources into actionable intelligence, empowering organizations to make data-driven decisions that improve patient outcomes and save lives. The Role We are seeking a Senior Data Engineer to own and advance the data infrastructure that powers our healthcare insights platform. As our engineering team scales and we expand our data capabilities, we need someone who can build reliable, scalable pipelines while ensuring data quality across increasingly complex regulatory sources. Key Responsibilities Design, build, and maintain robust ETL processes for healthcare regulatory data Integrate new data sources as we onboard customers and expand platform capabilities Optimize pipeline performance and reliability Ensure data accuracy and consistency across complex transformation workflows Qualifications 5+ years of professional experience as a data engineer or in a similar role Experience with Apache Spark and distributed computing Familiarity with common ML algorithms and their applications Knowledge of or willingness to learn and work with Generative AI technologies Experience with developing for distributed cloud platforms Experience with MongoDB / ElasticSearch and technologies like BigQuery Strong commitment to engineering best practices Nice-to-Haves Solid understanding of modern security practices, especially in healthcare data contexts Subject matter expertise in LifeSciences / Pharma / MedTech This role might not be for you if... You're a heavy process advocate and want enterprise-grade Scrum or rigid methodologies You have a need for perfect clarity before taking action You have a big company mindset What We Offer Competitive salary Health and vision benefits Attractive equity package Flexible work environment (remote-friendly) Opportunity to work on impactful projects that are helping bring life-saving medical products to market Be part of a mission-driven team solving real healthcare challenges at a critical scaling point Our Culture At Basil Systems, we value flexibility and support a distributed team. We actively employ and support remote team members across different geographies, allowing you to work when, where, and how you work best. We are committed to building a diverse, inclusive, and safe work environment for everyone. Our team is passionate about using technology to make a meaningful difference in healthcare. How to Apply If you're excited about this opportunity and believe you'd be a great fit for our team, please send your resume and a brief introduction to *****************************. Basil Systems is an equal opportunity employer. We welcome applicants of all backgrounds and experiences.

Job Title: Junior Data Engineer W2 candidates only We are on the lookout for engineers who are open to upskill to the exciting world of Data Engineering. This opportunity is for our client, a top tier insurance company and includes a 2-3 week online pre-employment training program (15 hours per week), conveniently scheduled after business hours. Participants who successfully complete the program will receive a $500 stipend. This is a fantastic chance to gain in demand skills, hands-on experience, and a pathway into a dynamic tech role.. Key Responsibilities: • Assist in the design and development of big data solutions using technologies such as Spark, Scala, AWS Glue, Lambda, SNS/SQS, and CloudWatch. • Develop applications primarily in Scala and Python with guidance from senior team members. • Write and optimize SQL queries, preferably with Redshift; experience with Snowflake is a plus. • Work on ETL/ELT processes and frameworks to ensure smooth data integration. • Participate in development tasks, including configuration, writing unit test cases, and testing support. • Help identify and troubleshoot defects and assist in root cause analysis during testing. • Support performance testing and production environment troubleshooting. • Collaborate with the team on best practices, including Git version control and CI/CD deployment processes. • Continuously learn and grow your skills in big data technologies and cloud platforms. Prerequisites: • Recent graduate with a degree in Computer Science, Information Technology, Engineering, or related fields. • Basic experience or coursework in Scala, Python, or other programming languages. • Familiarity with SQL and database concepts. • Understanding of ETL/ELT concepts is preferred. • Exposure to AWS cloud services (Glue, Lambda, SNS/SQS) is a plus but not mandatory. • Strong problem-solving skills and eagerness to learn. • Good communication and teamwork abilities. Selection Process & Training: • Online assessment and technical interview by Quintrix. • Client Interview(s). • 2-3 weeks of pre-employment online instructor-led training. Stipend paid during Training: • $500. Benefits: • 2 weeks of Paid Vacation. • Health Insurance including Vision and Dental. • Employee Assistance Program. • Dependent Care FSA. • Commuter Benefits. • Voluntary Life Insurance. • Relocation Reimbursement. Who is Quintrix? Quintrix is on a mission to help individuals develop their technology talent. We have helped hundreds of candidate's kick start their careers in tech. You will be “paid-to-learn”, qualifying you for a high paying tech job with one of our top employers. To learn more about our candidate experience go to *************************************

hackajob has partnered with Simply Business in its digital solutions and leverages extensive industry data to drive impactful results. Role: Data Analyst / Analytics Engineer Mission: You'll be part of the global Data and Analytics (DNA) team at Simply Business, helping drive data-driven decision making across the organization. Your mission will be to provide high-impact analytical support to business stakeholders, measure and evaluate product value streams, and ensure product investments deliver maximum value. As a trusted advisor, you'll translate business needs into actionable insights that improve operational efficiency and customer conversion. Location: US-based (Hybrid / details 8 days/month) Salary: Up to 99K USD Work authorization: This role requires you to be authorized to work in the United States without sponsorship. Qualifications (3+ years of experience): Experience in data & analytics, with a preference for operational analytics Experience working with cloud data warehouses (Snowflake or similar) Strong SQL skills and experience designing data models (dbt is a plus) Experience integrating new data sources and working with ETL pipelines Strong data visualization and storytelling skills using BI tools such as Looker, Tableau, or Power BI Ability to partner with product, engineering, and business teams to translate use cases into analytical solutions Excellent communication skills, especially when presenting insights to non-technical stakeholders Comfortable working as a self-starter in a globally distributed team Benefits: Opportunity to work on strategic, high-impact analytics initiatives Exposure to global stakeholders across product, engineering, and business teams Ongoing investment in modern data platforms and BI capabilities Career growth within a mature and expanding Data & Analytics function About hackajob: hackajob is a recruitment platform that matches you with relevant roles based on your preferences. To be matched with roles like this one, you'll need to create an account with us. This role requires you to be based in the US.

Client: Worldwide Footwear Brand Duration: 6 months+, 40 hours per week Pay Range: $35-$40 per hour Timeline for Hire: Around mid/late November Job Description Our client, a worldwide footwear brand in Boston, is seeking an eCommerce Planning Analyst to support its North American eCommerce team. The position is hybrid on-site 3 days per week with 2 days remote. This role is key to driving business performance through data analysis, financial planning, and strategic insights. You'll work closely with Planning and Merchandising teams to build financial plans, analyze performance, and support both pre-season and in-season strategies across DTC, wholesale, and competitive markets. Key Responsibilities Analyze weekly sales performance including margin and inventory vs. budget, forecast, and prior year; identify risks and opportunities, and collaborate with cross-functional teams to drive business decisions. Develop and deliver ad hoc reporting on sales activities, pricing, category performance, product sizing, and more; provide actionable insights and communicate findings effectively. Support pre-season and in-season forecasting by building analytical tools using historical data, product plans, site activity, and market trends. Execute plan and forecast updates across planning tools and systems. Assist in coordinating team meetings and presentations. Build strong working relationships with cross-functional partners including Merchandising, Commercial Planning, Inventory & Demand Planning, Site Experience, Marketing, and Sales Operations. Leverage site and consumer analytics to inform planning and strategy. Collaborate with peers to ensure consistency, share best practices, and enhance systems knowledge. Qualifications Bachelor's degree with 1-3 years of experience in buying, planning, inventory management, site analytics, consulting, or finance. Strong financial, analytical, and retail math skills with a desire to grow to expert level. Proficiency in Microsoft Office Suite, especially Excel; ability to learn tools like Adobe Analytics, Power BI, and Edited. Analytical mindset with the ability to identify trends, issues, and opportunities from data. Strong problem-solving and critical thinking skills. Excellent communication and stakeholder management abilities. Proactive, self-starter attitude with a collaborative spirit.

We are currently recruiting a Business Analyst for a contract position located in Waltham, MA. This is a 6-month onsite contract position. Must have at least 10 years of experience. Competitive rate. Skills: EMS(Power Flow, State Estimator, Contingency Analysis, OPF ), SCADA , MS PowerPoint Digital : SCADA Security Job Description • EMS application engineering • Strong knowledge of Power Flow, State Estimator, Contingency Analysis, OPF etc. • Strong analytical and communication skills. • Working knowledge of Software development methodologies like waterfall, Agile • Ability to understand Business requirement and Business Requirements mapping to functional design • Ability to validate alignment of Data, Integration and test requirements • Strong Understanding of Network Topology build requirements • Understanding of integration technologies used in SCADA/EMS/DMS space. • Ability to work in an Onshore/Offshore global delivery model. Provide domain expertise for EMS application engineering • Strong knowledge of Power Flow, State Estimator, Contingency Analysis, OPF etc. • Understands EMS application architecture and security. • Work with Business to understand functional issues and solve the same by providing workaround • Sort out Data issues or RTU communication issues • Provide timely incident resolution • Having strong knowledge of Network models and databases • Experience working in Transmission and Distribution domain of Utilities • Create databases and displays for new IEDs/ ICCP data • Experience with multiple products in the market will be an advantage such as GE, Hitachi, OSII, SE • Experience in DERMS applications will be an advantage • It is an advantage if candidate is NERC certified

Established nearly two centuries ago, FM is a leading mutual insurance company whose capital, scientific research capability and engineering expertise are solely dedicated to property risk management and the resilience of its policyholder-owners. These owners, who share the belief that the majority of property loss is preventable, represent many of the world's largest organizations, including one of every four Fortune 500 companies. They work with FM to better understand the hazards that can impact their business continuity to make cost-effective risk management decisions, combining property loss prevention with insurance protection. As a Data Scientist, you will focus on translating business needs into analytics, interpretation of analytics into business applications, sophisticated technologies, and artificial intelligence solutions. This role will allow you to innovate, explore, and build solutions for FM using new technologies. You will develop and apply statistics, artificial intelligence, machine learning, and deep learning to various business problems in loss prevention. You'll be part of our innovative and diverse team of sophisticated data and analytics professionals. You'll work alongside multiple departments, including operations, innovation, business technology transformation, underwriting, and engineering. Through constant learning, innovation, discovery, and collaboration you'll not only help FM deliver on the promise of loss prevention, but you'll also grow your career and the scope of your impact across our company. Using your creativity and applying a vast array of techniques and tools, you will plan, conduct, and advise the development and evaluation of real-world, large-scale problems using artificial intelligence/machine learning with minimal or limited supervision. Your projects will be interesting, exciting and ambitious! You will use statistics to advance the mission and goals of FM. Ph.D. in Statistics, Biostatistics or Operational Research with 2+ years of industry experience or a Master's degree with 5+ years of industry working experience in data science modelling 5+ years of experience of data processing, statistical analysis and modelling using tools such as Python,R, or SQL 2+ years of experience of working with cloud data analytics platform, such as Databricks Advanced Knowledge and Working Experience in: Generalized Linear Models (Logistic Regression, Zero-Inflated Model, etc.) Model Regularization Probability Distributions Hypothesis testing Statistical Inference Machine Learning (Random Forest, Clustering, Gradient Descent, Gradient Boosting, etc.) Simulation Experiment Design Non-Parametric Statistics Experience as the lead role of full-cycle data science projects Working experience in risk management and/or property insurance is strongly preferred Compensation, Grade, and Job Title will be determined based on qualifications, experience, and technical skillset. The position is eligible to participate in FM's comprehensive Total Rewards program that includes an incentive plan, generous health and well-being programs, a 401(k) and pension plan, career development opportunities, tuition reimbursement, flexible work, paid time off allowances and much more. FM is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce. #LI-TA1