Data analyst jobs in Leominster, 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

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™

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

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

Business Systems Analyst Must Have: Bachelor's degree or equivalent experience in finance, economics, computer science, or technology related field. Minimum of 2-5+ years of experience in the financial services industry, ideally supporting buy?side technology. Possesses solid knowledge of Equity, Fixed Income, and Derivatives asset classes. Demonstrated strong SQL skills and a solid understanding of investment data. Proven ability to efficiently utilize resources and communicate with others, both verbally and in writing. Proven analytical skills and demonstrated ability to make independent decisions. A firm understanding of systems development lifecycle and Agile framework. Proven ability to develop creative solutions to meet business needs.

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.

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

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.

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

About the Role We are seeking an experienced Oracle Fusion Analytics Warehouse (FAW) Consultant to join our team. The ideal candidate will have hands-on expertise in Oracle FAW, OTBI, OAC, and Oracle Fusion Cloud applications (ERP, HCM, SCM, etc.). You will be responsible for designing, developing, and maintaining analytics solutions, ensuring stakeholders get actionable insights from Oracle Cloud data. Key Responsibilities Implement, configure, and support Oracle FAW (Fusion Analytics Warehouse). Develop and customize dashboards, KPIs, and reports using OTBI (Oracle Transactional Business Intelligence), OAC (Oracle Analytics Cloud), and FAW. Integrate FAW with Oracle Fusion applications (ERP, HCM, SCM, CX, etc.) for end-to-end reporting. Collaborate with business stakeholders to gather requirements and translate them into analytics/reporting solutions. Perform data modeling, data mapping, and metadata configuration for FAW. Optimize performance of dashboards, reports, and ETL processes. Provide ongoing support, troubleshooting, and enhancements to FAW and OAC solutions. Ensure compliance with data governance, security, and reporting standards. Document technical solutions and deliver knowledge transfer to business/technical teams. Required Skills & Qualifications Bachelor's degree in Computer Science, Information Systems, or related field. 3-7 years of experience in Oracle Analytics/BI, with at least 1-2 years in Oracle FAW. Strong hands-on experience with: Oracle Fusion Analytics Warehouse (FAW) OTBI (Oracle Transactional BI) OAC (Oracle Analytics Cloud) Fusion ERP, HCM, or SCM Cloud modules Good understanding of data warehousing, ETL processes, and BI concepts. Experience with SQL, Data Modeling, RPD (Repository Development in OAC/OBIEE). Familiarity with security configuration (roles, permissions) in FAW and OAC. Excellent communication and stakeholder management skills.

Power BI Data Engineer Are you looking for a chance to lead a project and make a mark, building a company's data system? What's in it for you? Chance to build a primary data repository from scratch to transfer the company data into one location. A chance to take ownership of data modelling, data architecture and data reporting Hybrid schedule (2 days remote) Good job security at a stable company Responsibilities Build a data platform pulling from rich data sets, where data is easy to visualise, query and access Create dashboards and reports of data Led the logical and physical modelling of data Someone who can take ownership of the company's data architecture and wear many hats Must-Have Proficiency with Power BI Proficiency with SQL Proficiency with Snowflake or similar database systems Experience with ETL Tools such as Informatica Experience in Data Architecture Experience in Data reporting Experience with Data Modelling Experience with Cloud Architecture or Data Cloud Platforms (Azure/AWS/GCP) Nice to have Background in owning the data architecture and transformation for a small company Experience with predictive modelling Click the button below to apply!

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.

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

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.

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