Data analyst jobs in Wilmington, MA

DIVIDEX Management, LLC advises some of the country's largest public pension funds and institutional investors to seek to help them manage their exposures to and recoveries from global securities litigation as an asset class. The involves detailed financial and legal analyses of potential and active securities fraud cases in the US and around the world. Additionally, DIVIDEX provides securities fraud class action settlement claim analysis and reconciliation to seek to ensure that clients receive all amounts due to them. These functions require frequent data collection from custodial and commercial data bases, utilizing our patented systems to establish estimated valuations, and generating reports and recommendations to our clients. About the job This analyst function is full-time on-site in Westwood, Massachusetts to support DIVIDEX services to institutional investor clinets. This role combines aspects of database management, public markets and legal analyses and is an exceptional opportunity for a recent college graduate with interests in quantitative analytics, public securities markets and group litigation law. Job responsibilities will include performing damages/loss analyses based on client trading activity as applied to securities fraud allegations. The analyst will employ various proprietary analytical tools, evaluate results, produce reports, and update our database and client portal. To support these analyses, the analyst will also assist in acquiring client data from custodian portals and verify the quality of that data. Using results and payment data, the analyst will also perform settlement payment analyses to verify that clients were compensated properly. Finally, the analyst will perform ad hoc damages analyses, support internal application development efforts, and help support other team members, including legal and technical, in their analytical work. Requirements Demonstrated self-starter with strong references Strong analytical and quantitative skills Strong computer skills Deep experience in Excel required Understanding of publicly-traded equities and market performance is preferred Familiarity with financial data (transactions, holdings, corporate actions, identifiers, etc.) is preferred Experience in databases and/or reporting tools is preferred Undergraduate study in business, finance or technology preferred Experience using Bloomberg is a plus Experience in VBA and/or SQL is a plus Experience in investigating publicly-available corporate and legal information is a plus Knowledge of fund accounting concepts is a plus Start date December 2025 or earlier Benefits Starting salary of 75,000+ depending on experience Full medical coverage including health, dental, vision, life and disability insurance Retirement and profit sharing plan High energy, professional work environment at easy commuter location

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

Data Architect - HR Data & Analytics Boston, MA 3-4 days onsite a week Pay Rate: $125/Hr The Data Architect will play a key role in designing and implementing the enterprise HR data architecture to support 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. Experience with Python for data engineering, automation, or orchestration tasks. 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

We are seeking a Business Analyst to support critical projects and drive digital transformation initiatives. The ideal candidate will collaborate with stakeholders, analyze workflows, and recommend solutions that align with business objectives while managing organizational change effectively. Responsibilities Requirements Gathering: Elicit, document, and analyze business requirements in partnership with stakeholders. Process Improvement: Assess current processes, identify inefficiencies, and propose enhancements to improve operational effectiveness. Solution Design: Evaluate and recommend technology solutions that meet business needs. Digital Transformation: Support initiatives that modernize systems and processes, ensuring alignment with strategic goals. Change Management: Facilitate adoption of new processes and technologies through effective communication and stakeholder engagement. Project Support: Work closely with project teams to ensure accurate implementation of business requirements. Desired Skills and Experience Change Management, Business Process, Transformation, Chatbot, AI Beacon Hill is an equal opportunity employer and individuals with disabilities and/or protected veterans are encouraged to apply. California residents: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. If you would like to complete our voluntary self-identification form, please click here or copy and paste the following link into an open window in your browser: ***************************************** Completion of this form is voluntary and will not affect your opportunity for employment, or the terms or conditions of your employment. This form will be used for reporting purposes only and will be kept separate from all other records. Company Profile: Beacon Hill Technologies, a premier National Information Technology Staffing Group, provides world class technology talent across all industries utilizing a complete suite of staffing services. Beacon Hill Technologies' dedicated team of recruiting and staffing experts consistently delivers quality IT professionals to solve our customers' technical and business needs. Beacon Hill Technologies covers a broad spectrum of IT positions, including Project Management and Business Analysis, Programming/Development, Database, Infrastructure, Quality Assurance, Production/Support and ERP roles. Learn more about Beacon Hill and our specialty divisions, Beacon Hill Associates, Beacon Hill Financial, Beacon Hill HR, Beacon Hill Legal, Beacon Hill Life Sciences and Beacon Hill Technologies by visiting ************* Benefits Information: Beacon Hill offers a robust benefit package including, but not limited to, medical, dental, vision, and federal and state leave programs as required by applicable agency regulations to those that meet eligibility. Upon successfully being hired, details will be provided related to our benefit offerings. We look forward to working with you. Beacon Hill. Employing the Future™

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

Business analyst acts as a bridge between business needs and effective solutions by analyzing current processes, identifying pain points, defining requirements, and recommending improvements that align with organizational goals. Technical skills: Methodologies, Agile (Scrum, SAFe), Waterfall, Data Analysis & validation, Power BI, Tableau, SQL,SSIS, Project Management Tools, JIRA, Azure DevOps (ADO), Confluence, Rally, Test Management Tools, ALM, TestRail, Zephyr creating test cases, test scripts, and performing various types of testing are valuable. Tools Postman, Splunk, Service Now, Miro, MS Visio, Lucid chart Programming skills Basics of Java, python, C++ Roles and responsibilities: Business analysts gather requirements, conduct research, and provide actionable insights to solve business problems. They collaborate with multiple teams to ensure project goals meet business needs. A key task is documenting and presenting findings through reports and presentations. Business analysts help companies implement solutions that drive efficiency and profitability. They work closely with stakeholders, ensuring clear communication and project alignment. Involved in creating business requirements document, functional and non-functional requirements. Designed and developed test cases. Communicated with Business Users to identify needs, define project scope, and detail functional and Non-functional requirements. Gathered and analyses business requirements by facilitating JAD Sessions and PI Planning. Worked as a liaison between the IT and Business team. Was instrumental in providing the issue resolution to the IT team by working closely with the business. Independently investigate, diagnose, and resolve product inconsistencies and defects, and propose product improvements. Key activities: Conducting strategic business analysis, budgeting, and forecasting. Planning and monitoring projects, including resource allocation and cost efficiency. Identifying automation opportunities to streamline workflows. Providing training and support to end-users after solution implementation. Performing variance analysis to understand how performance aligns with goals. Identifying and managing risks that could impact project success.

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

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

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

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

Job Title: Sr. Data Architect- HR Data & Analytics Duration: 6 - 12+ Months Notes : Snowflake,ETL/ELT, HRIS, SQL, Python. The Data Architect will play a key role in designing and implementing the enterprise HR data architecture to support 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 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

This position obtains financial data and other documentation for use in paying customer invoices and clearing customer deductions. Responsibilities: Pays and/or clears invoices before customer deducts from client Clears deductions / Problem solving / Performing research to resolve client inquiries Validate and clear customer audits Keeps an organized filing system Maintains detailed working knowledge of assigned clients' policies and procedures and conforms to these requirements All of the above is performed through the direction of the account executive and client, whether it be on a Trade Promotion Management (TPM) System (such as AFS, Adesso, Demantra, Quick Base, Siebel, Account Review, Vistex, etc.), telephone systems, or company's forms Other duties as assigned SKILLS / KNOWLEDGE / ABILITIES REQUIRED Language Skills • Ability to read and interpret documents such as client instruction manuals, and JOH company procedure manuals • Ability to write routine reports and clear correspondence • Ability to speak effectively Mathematical Skills • Ability to calculate figures and amounts such as discounts, interest, commissions, proportions, percentages • Must have knowledge of basic mathematical concepts • Ability to use calculator to perform simple functions Reasoning Ability ▪ Ability to apply common sense understanding to carry out instructions furnished in written, oral, or diagram form ▪ Ability to deal with problems involving several concrete variables in standardized situations ▪ Ability to work independently to research and resolve issues Computer Skills • Word • Excel • Outlook • Other applications as necessary • Keyboard speed and accuracy PERFORMANCE AND/OR EDUCATION PREREQUISITES To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed above are representative of the essential duties, responsibilities and skills required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. High school diploma and one to two years of related experience preferred. PHYSICAL DEMANDS The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to reach with hands and arms and talk or hear. The employee frequently is required to sit. The employee is occasionally required to stand; walk; and use hands to finger, handle, or feel objects, tools, or controls. Specific vision abilities required by this job include close vision. WORKING CONDITIONS The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually moderate. HAZARDS Only those present in a normal office setting

Role: Data Architect - HR Data & Analytics 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.

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

This role is with a Maris Financial Services Partner Boston, MA - Hybrid Role - We are targeting local candidates that can be in the Boston office 3 days per week. 12 Month + contract (or contract to hire, if desired) This team oversees critical systems including Snowflake, Tableau, and RDBMS technologies like SQL Server and Postgres. This role will focus on automating database deployments and creating efficient patterns and practices that enhance our data processing capabilities. Key Responsibilities: Design, enhance, and manage DataOps tools and services to support cloud initiatives. Develop and maintain scheduled workflows using Airflow. Create containerized applications for deployment with ECS, Fargate, and EKS. Build data pipelines to extract, transform, and load (ETL) data from various sources into Apache Kafka, ultimately feeding into Snowflake. Provide consultation for infrastructure projects to ensure alignment with technical architecture and end-user needs. Qualifications: Familiarity with Continuous Integration and Continuous Deployment (CI/CD) practices and tools. Understanding of application stack architectures (e.g., microservices), PaaS development, and AWS environments. Proficiency in scripting languages such as Bash. Experience with Python, Go, or C#. Hands-on experience with Terraform or other Infrastructure as Code (IaC) tools, such as CloudFormation. Preferred experience with Apache Kafka and Flink. Proven experience working with Kubernetes. Strong knowledge of Linux and Docker environments. Excellent communication and interpersonal skills. Strong analytical and problem-solving abilities. Ability to manage multiple tasks and projects concurrently. Expertise with SQL Server, Postgres, and Snowflake. In-depth experience with ETL/ELT processes.

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 *************************************

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.

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.