Senior Data Scientist (Senior Consultant)
Senior data analyst- job in New York, NY
Job Family:
Data Science Consulting
Travel Required:
Up to 10%
Clearance Required:
Ability to Obtain Public Trust
About our AI and Data Capability Team
Our consultants on the AI and Data Analytics Capability team help clients maximize the value of their data and automate business processes. This high performing team works with clients to implement the full spectrum of data analytics and data science services, from data architecture and storage to data engineering and querying, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as intelligent automation. Our services enable our clients to define their information strategy, enable mission critical insights and data-driven decision making, reduce cost and complexity, increase trust, and improve operational effectiveness.
What You Will Do:
Data Collection & Management: Identify, gather, and manage data from primary and secondary sources, ensuring its accuracy and integrity.
Data Cleaning & Preprocessing: Clean raw data by identifying and addressing inconsistencies, missing values, and errors to prepare it for analysis.
Data Analysis & Interpretation: Apply statistical techniques and analytical methods to explore datasets, discover trends, find patterns, and derive insights.
Data Visualization & Reporting: Develop reports, dashboards, and visualizations using tools like Tableau or Power BI to present complex findings clearly to stakeholders.
Collaboration & Communication: Work with cross-functional teams, understand business requirements, and effectively communicate insights to support data-driven decision-making.
Problem Solving: Address specific business challenges by using data to identify underperforming processes, pinpoint areas for growth, and determine optimal strategies.
What You Will Need:
US Citizenship is required
Bachelor's degree is required
Minimum THREE (3) Years Experience using Power BI, Tableau and other visualization tools to develop intuitive and user friendly dashboards and visualizations.
Skilled in SQL, R, and other languages to assist in database querying and statistical programming.
Strong foundational knowledge and experience in statistics, probability, and experimental design.
Familiarity with cloud platforms (e.g., Amazon Web Services, Azure, or Google Cloud) and containerization (e.g., Docker).
Experience applying data governance concepts and techniques to assure greater data quality and reliability.
he curiosity and creativity to uncover hidden patterns and opportunities.
Strong communication skills to bridge technical and business worlds.
What Would Be Nice To Have:
Hands-on experience with Python, SQL, and modern ML frameworks.
Experience in data and AI system development, with a proven ability to design scalable architectures and implement reliable models.
Expertise in Python or Java for data processing.
Demonstrated work experience within the public sector.
Ability to support business development including RFP/RFQ/RFI responses involving data science / analytics.
The annual salary range for this position is $113,000.00-$188,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.
What We Offer:
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Benefits include:
Medical, Rx, Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Position may be eligible for a discretionary variable incentive bonus
Parental Leave and Adoption Assistance
401(k) Retirement Plan
Basic Life & Supplemental Life
Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
Short-Term & Long-Term Disability
Student Loan PayDown
Tuition Reimbursement, Personal Development & Learning Opportunities
Skills Development & Certifications
Employee Referral Program
Corporate Sponsored Events & Community Outreach
Emergency Back-Up Childcare Program
Mobility Stipend
About Guidehouse
Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at ************** or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or ************************. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.
If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact *************************. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.
Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.
Auto-ApplyData Governance Lead - Data Architecture & Governance
Senior data analyst- job in New York, NY
Job Title: Data Governance Lead - Data Architecture & Governance
Employment Type: Full-Time
Base Salary: $220K to $250K (based on experience) + Bonus
is eligible for medical, dental, vision
About the Role:
We are seeking an Experienced Data Governance Lead to join a dynamic data and analytics team in New York. This role will design and oversee the organization's data governance framework, stewardship model, and data quality approach across financial services business lines, ensuring trusted and well-defined data for reporting and analytics across Databricks lakehouse, CRM, management reporting, data science teams, and GenAI initiatives.
Primary Responsibilities:
Design, implement, and refine enterprise-wide data governance framework, including policies, standards, and roles for data ownership and stewardship.
Lead the design of data quality monitoring, dashboards, reporting, and exception-handling processes, coordinating remediation with stewards and technology teams.
Drive communication and change management for governance policies and standards, making them practical and understandable for business stakeholders.
Define governance processes for critical data domains (e.g., companies, contacts, funds, deals, clients, sponsors) to ensure consistency, compliance, and business value.
Identify and onboard business data owners and stewards across business teams.
Partner with Data Solution Architects and business stakeholders to align definitions, semantics, and survivorship rules, including support for DealCloud implementations.
Define and prioritize data quality rules and metrics for key data domains.
Develop training and onboarding materials for stewards and users to reinforce governance practices and improve reporting, risk management, and analytics outcomes.
Qualifications:
6-8 years in data governance, data management, or related roles, preferably within financial services.
Strong understanding of data governance concepts, including stewardship models, data quality management, and issue-resolution processes.
Familiarity with CRM or deal management platforms (e.g., DealCloud, Salesforce) and modern data platforms (e.g., Databricks or similar).
Proficiency in SQL for data investigation, ad hoc analysis, and validation of data quality rules.
Comfortable working with Databricks, Jupyter notebooks, Excel, and BI tools.
Python skills for automation, data wrangling, profiling, and validation are strongly preferred.
Exposure to investment banking, equities, or private markets data is a plus.
Excellent written and verbal communication skills with the ability to lead cross-functional discussions and influence senior stakeholders.
Highly organized, proactive, and able to balance strategic governance framework design with hands-on execution.
Business Data Applications Analyst
Senior data analyst- job in New York, NY
Data Solutions - AI - ChatGPT
Hybrid 4 days per week - New York
We are partnering with a leading Private Equity firm seeking to modernize its operations through data, automation, and AI-driven solutions. This is a unique opportunity for a versatile problem-solver who can sit across applications and data, integrate systems, and pioneer the firm's use of AI technologies particularly ChatGPT and related tools to create tangible business impact.
The role is hands-on, highly exploratory, and focused on “figuring things out” whether that means building a solution directly or identifying where specialist consultants should be brought in. You'll play a critical role in helping the firm embrace new technologies, streamline operations, and unlock the value of their data.
You will sit between the IT and Data Science team working on both Projects and BAU.
Key Responsibilities
Work across business applications and data platforms to enable integration, automation, and efficiency.
Lead projects to centralize and leverage data (e.g., bringing Sage and Allvue data into Snowflake).
Explore, design, and implement AI-driven use cases, including the use of ChatGPT, to modernize workflows and enhance decision-making.
Identify opportunities for automation and digital transformation across the firm's operations.
Serve as a bridge between business needs and technology solutions, providing practical guidance on what should be solved internally vs. with external consultants.
Continuously research and experiment with emerging tools to keep the firm ahead of the curve.
Key Skills & Experience
Strong understanding of application and data integration.
Experience with data platforms (Snowflake preferred) and familiarity with financial systems (e.g., Sage, Allvue).
Hands-on experience with automation tools and scripting (e.g., Python, APIs, workflow automation).
Knowledge of and practical experience using AI/LLMs (e.g., ChatGPT) to solve business problems.
Ability to work in an exploratory, solutions-focused manner, with a high level of autonomy.
Strong problem-solving mindset-able to evaluate when to build, buy, or bring in external expertise.
Personal Attributes
Curious and entrepreneurial; thrives in ambiguity and enjoys “figuring things out.”
Practical and solutions-oriented with a strong sense of ownership.
Strong communicator who can bridge technical and non-technical stakeholders.
Excited by the opportunity to help transform and modernize a business.
What's on Offer
The chance to shape the digital and AI journey of a forward-looking Private Equity firm.
A broad, impactful role with exposure across applications, data, and AI.
Opportunity to work in a high-trust environment where innovation and experimentation are encouraged.
Competitive compensation package.
Senior Data Analyst - Decision Science (SQL-Focused)
Senior data analyst- job in New York, NY
Data Analyst - Cost Estimation & Insights (SQL-Heavy)
Our client is seeking a data-driven problem solver to join their core cost estimation team. This role is best described as a “Business Analyst on steroids”-focused on deep data investigation, root-cause analysis, and insight generation within production data environments.
This is not a machine learning or advanced modeling role. The ideal candidate thrives in SQL, enjoys untangling complex data issues, and can translate business logic into clear analytical findings.
Key Responsibilities
Investigate and analyze complex data issues within cost estimation outputs, including identifying erroneous, missing, or illogical results
Use SQL extensively to mine large datasets, uncover patterns, and determine why issues are occurring-not just that they exist
Translate business rules and product logic into clear analytical queries and insights
Perform root-cause analysis on production issues such as service failures, inconsistent outputs, or data gaps
Communicate findings clearly to product and technical partners to inform prioritization and product improvements
Support ongoing product maturity as solutions move into and operate within production environments
Ideal Candidate Profile
Very strong SQL skills are required; this is a query-heavy, insight-driven role
Solid (but not advanced) Python skills are acceptable; Python is secondary to SQL
Exceptional data mining and analytical reasoning skills, with the ability to independently investigate ambiguous or open-ended problems
Strong logical thinker who can connect business rules to real-world data behavior
Prior healthcare data experience is highly preferred due to the complexity of the datasets
Comparable skill set to a high-performing senior analyst or decision scientist
What This Role Is Not
Not a machine learning or statistical modeling role
Not focused on advanced data science techniques
Not primarily an executive presentation role
Why This Role Matters
As the client's product continues to operate in production, data anomalies, investigation requests, and insight needs are increasing. This role is critical to enabling faster issue diagnosis, smarter prioritization of fixes, and continuous product improvement.
Data Architect
Senior data analyst- job in New York, NY
Data Solutions Architect
The Data Solutions Architect will play a pivotal role in advancing organizational data and artificial intelligence (AI) initiatives. Leveraging statistical analysis, machine learning (ML), and large language models (LLMs), this role focuses on extracting insights and supporting decision-making across diverse business operations and professional service practices. The architect will collaborate with innovation teams, technical resources, and stakeholders to design and implement data-driven solutions that enhance service delivery and operational efficiency. Staying current with emerging technologies and best practices, the Data Solutions Architect will integrate cutting-edge techniques into projects, offering a unique opportunity to shape the future of data and AI within the professional services sector.
Principal Duties and Responsibilities
Partner with operational and practice teams to identify challenges and opportunities for workflow improvement.
Translate complex domain logic into actionable data requirements and AI use cases.
Design, build, and maintain scalable data pipelines and infrastructure to support AI and BI initiatives.
Utilize SQL, Python, R, and other analytics tools to analyze, model, and visualize data trends.
Collaborate with technology teams to refine and maintain data pipelines, warehouses, and databases.
Develop tools and processes to transform raw data into user-friendly formats for self-service analytics.
Apply advanced quantitative methods, including ML and NLP, to identify patterns and build predictive models.
Design and deploy systems for applications such as text analysis, trend analysis, and predictive modeling.
Craft, test, and refine prompts for LLMs to generate contextually accurate outputs tailored to research and drafting workflows.
Deliver AI-driven solutions from proof of concept through production, addressing cross-functional and practice-specific needs.
Continuously monitor advancements in AI, ML, and data science, integrating innovative technologies into organizational projects.
Job Specifications
Required Education
Bachelor's degree in Data Science, Computer Science, Engineering, or related fields.
Preferred Education
Master's degree in a relevant discipline; coursework in deep learning, NLP, or information retrieval is highly valued.
Required Experience
Minimum of 3 years of relevant experience, including at least 2 years in data engineering and data science roles.
Competencies
Demonstrated expertise in data analytics and engineering with a strong focus on data modeling.
Proficiency in statistical programming languages (Python, R) and database management (SQL).
Hands-on experience with ML, NLP, and data visualization tools.
Strong problem-solving and communication skills, with the ability to present complex data to non-technical audiences.
Experience in professional services or related environments preferred.
Sr Data Modeler with Capital Markets/ Custody
Senior data analyst- job in Jersey City, NJ
LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 750 clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree - a Larsen & Toubro Group company - combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit *******************
Job Title: Principal Data Modeler / Data Architecture Lead - Capital Markets
Work Location
Jersey City, NJ (Onsite, 5 days / week)
Job Description:
We are seeking a highly experienced Principal Data Modeler / Data Architecture Lead to reverse engineer an existing logical data model supporting all major lines of business in the capital markets domain.
The ideal candidate will have deep capital markets domain expertise and will work closely with business and technology stakeholders to elicit and document requirements, map those requirements to the data model, and drive enhancements or rationalization of the logical model prior to its conversion to a physical data model.
A software development background is not required.
Key Responsibilities
Reverse engineers the current logical data model, analyzing entities, relationships, and subject areas across capital markets (including customer, account, portfolio, instruments, trades, settlement, funds, reporting, and analytics).
Engage with stakeholders (business, operations, risk, finance, compliance, technology) to capture and document business and functional requirements, and map these to the data model.
Enhance or streamline the logical data model, ensuring it is fit-for-purpose, scalable, and aligned with business needs before conversion to a physical model.
Lead the logical-to-physical data model transformation, including schema design, indexing, and optimization for performance and data quality.
Perform advanced data analysis using SQL or other data analysis tools to validate model assumptions, support business decisions, and ensure data integrity.
Document all aspects of the data model, including entity and attribute definitions, ERDs, source-to-target mappings, and data lineage.
Mentor and guide junior data modelers, providing coaching, peer reviews, and best practices for modeling and documentation.
Champion a detail-oriented and documentation-first culture within the data modeling team.
Qualifications
Minimum 15 years of experience in data modeling, data architecture, or related roles within capital markets or financial services.
Strong domain expertise in capital markets (e.g., trading, settlement, reference data, funds, private investments, reporting, analytics).
Proven expertise in reverse engineering complex logical data models and translating business requirements into robust data architectures.
Strong skills in data analysis using SQL and/or other data analysis tools.
Demonstrated ability to engage with stakeholders, elicit requirements, and produce high-quality documentation.
Experience in enhancing, rationalizing, and optimizing logical data models prior to physical implementation.
Ability to mentor and lead junior team members in data modeling best practices.
Passion for detail, documentation, and continuous improvement.
Software development background is not required.
Preferred Skills
Experience with data modeling tools (e.g., ER/Studio, ERwin, Power Designer).
Familiarity with capital markets, business processes and data flows.
Knowledge of regulatory and compliance requirements in financial data management.
Exposure to modern data platforms (e.g., Snowflake, Databricks, cloud databases).
Benefits and Perks:
Comprehensive Medical Plan Covering Medical, Dental, Vision
Short Term and Long-Term Disability Coverage
401(k) Plan with Company match
Life Insurance
Vacation Time, Sick Leave, Paid Holidays
Paid Paternity and Maternity Leave
LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, colour, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.
Data Architect
Senior data analyst- job in Ridgefield, NJ
Immediate need for a talented Data Architect. This is a 12 month contract opportunity with long-term potential and is located in Basking Ridge, NJ (Hybrid). Please review the job description below and contact me ASAP if you are interested.
Job ID:25-93859
Pay Range: $110 - $120/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).
Key Requirements and Technology Experience:
Key Skills; ETL, LTMC, SaaS .
5 years as a Data Architect
5 years in ETL
3 years in LTMC
Our client is a leading Telecom Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.
Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.
Business Data Analyst
Senior data analyst- job in New York, NY
Iris's client, Financial Domain, is currently searching for a strong Business Data Analyst for a contractual opportunity.
Job title: Business Analyst / Data Analyst
Duration: 3 Months Contract to hire.
Skills: Business Analyst, Data analysis, SQL, etc
:
Key Skills:
Data Analysis using SQL
Understanding of capital market or ETF products
Experience with reference data or index data or market data
Complex SQL queries
Job Description:
Essential Duties and Responsibilities:
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily.
Market Data Analysis: review security and market data to identify and resolve data exceptions and recommend improvements to enhance overall market data quality.
Monitor File Ingestion: Oversee daily ingestion of investment data into portfolio systems and internal databases, ensuring proper loading and troubleshooting issues related to delayed or missing files.
Ensure Data Integrity: Supervise the internal movement of data across VanEck's infrastructure to ensure accurate and timely generation of reports, addressing any discrepancies in the data outputs.
Resolve Data Issues: Investigate and research issues raised through the ticketing system, determine root causes, and collaborate with IT Data Developers to resolve technical problems.
Document Processes: Create and maintain documentation of daily, monthly, and quarterly operational processes and take ownership of tasks and identify opportunities for operational improvements.
Improve Operational Process: Analyze current business processes to identify and implement solutions that improve efficiency, scalability, and reliability, creating streamlined workflows.
Business Analysis: Document data requirements for enhancements and collaborate with IT Data Developers and communicate with business teams across the organization to meet business objectives.
Education:
Bachelor's degree is required with focus on Computer Science, information Science, or equivalent.
3 to 5 years of industry experience working within the technology and data operations of a financial firm.
Knowledge related to financial operation workflows and best practices.
Qualifications:
To perform this job successfully, an individual must exemplify the following qualifications.
Excellent Data Management Skills: Strong knowledge of various data sets, including security master data, pricing data, corporate actions, index levels, holdings, transactions, index constituents, performance data, and security analytics.
Exceptional Analytical Skills: Proficient in SQL to conduct data-driven analysis, review and summarize data, and identify data quality issues to ensure accurate reporting and decision-making.
Proficient Business Analysis: Skilled in gathering business requirements and creating detailed documentation for developers, ensuring the effective translation of business needs into technical specifications.
Understanding of Data Operations: Ability to assess current processes and make recommendations for improvements to streamline workflows, enhance operational efficiency, and ensure high-quality data management.
Strong Communication Skills: Excellent verbal, written, and interpersonal communication skills, with the ability to effectively interact with both technical and non-technical individuals.
Proactive Problem-Solving Ability: Demonstrated ability to take initiative in solving complex problems, driving outcomes in a self-directed manner with minimal supervision.
Technical Skills:
SQL Proficiency is essential for conducting data-driven analysis.
SQL Programming is required for investigation and root-cause analysis.
Microsoft PowerBI experience or equivalent data visualization platforms is preferred.
Sr Business Analyst (Commercial Lines Insurance)
Senior data analyst- job in New York, NY
Sr. BA with expertise in Commercial Lines P&C insurance needed for a FT perm role out of their NYC downtown office in a hybrid basis
Position Description: We are looking for a seasoned Senior Business Analyst (policy/UW in commercial insurance preferred with a claims minor) with extensive experience in the insurance sector. The ideal candidate will have a strong analytical mindset, excellent problem-solving skills, and the ability to communicate effectively with both technical and non-technical stakeholders. They should have a proven track record of successfully managing and delivering complex projects within the insurance domain.
Skills, Knowledge and Abilities:
Solution, lead and drive projects to conclusion from a business point of view - time, budget, and scope definition.
Conduct thorough analysis of business processes and identify areas for improvement.
Collaborate with stakeholders to gather and document business requirements.
Design and implement innovative solutions to enhance business operations and drive efficiency.
Facilitate workshops and meetings to ensure alignment and understanding of project objectives.
Develop and maintain comprehensive documentation, including business requirements, process flows, and user stories.
Provide ongoing support and guidance to project teams throughout the project lifecycle.
Education/Experience:
10 to 15 years of experience as a Business Analyst within the insurance industry.
In depth knowledge and hands-on-experience on integrated platforms combining Policy - Administration, Rating, Forms, Billing, Financial Applications and 3rd party software such as CLUE, D&B, RiskMeter etc.
Claims experience a positive.
Strong understanding of insurance products, processes, and regulations.
Understands claims from operation system standpoint.
Excellent analytical, problem-solving, and decision-making skills.
Exceptional communication and interpersonal abilities.
Proficiency in business analysis tools and methodologies.
Experience with project management and agile methodologies is a plus.
Bachelor's degree in Business Administration, Finance, or a related field. A relevant certification (e.g., CBAP) is highly desirable.
Vertex Solutions Inc. is an Equal Opportunity Employer and does not discriminate on the basis of race, color, creed, national origin, ancestry, religion, age, citizenship, sex, marital or veteran status, disability or handicap, sexual orientation or any other basis prohibited by applicable law.
Senior Business Analyst
Senior data analyst- job in New York, NY
Senior ERP Business Analyst
💵Salary: up to $180,000
Are you a BA expert in Microsoft Dynamics and SQL with strong accounting process skills?
We are seeking a multifaceted Senior ERP Business Analyst with a strong background in Microsoft Dynamics 365 Business Central, a solid SQL skillset, a deep knowledge of accounting processes. You will be joining a growing team in a leading organization, working across a wide variety of technologies.
What do you need?
Mastery of troubleshooting and support for Microsoft Dynamics 365 Business Central, as well as experience designing and developing ERP modules and business applications.
Ledger and sub-ledger expertise, with an all-around understanding of accounting processes.
Basic SQL Querying and Database Analysis skills.
Experience with IT Audits and SOX Compliance Support.
Experience in the aviation industry is preferred.
What's in it for you?
Competitive compensation, bonus potential, and full benefits package.
The opportunity to grow your career in a fast-paced environment with strong professional development opportunities.
The chance to join a tight-knit community of experts in a growing and reputable company.
Don't miss out on this incredible career opportunity! Apply now to become part of a dynamic team, or send an up-to-date resume to the details below.
*****************************
***************
Business Analyst with Trade OSS
Senior data analyst- job in Jersey City, NJ
HCLTech is looking for Business Analyst with Trade OSS experience to join it in advancing the technological world through innovation and creativity.
Job Title: Business Analyst
Position Type: Full-time
Location: Jersey City, New Jersey (Onsite)
Required Experience
Extensive knowledge in financial products like invoice financing, trade finance, and factoring.
Skilled in analyzing and redesigning business processes to optimize supply chain finance workflows.
Building relationships with stakeholders, defining business requirements, and translating them into actionable solutions.
Expertise in data analysis, KPIs, and reporting for business insights.
Strong communication skills with the ability to present complex concepts to non-technical stakeholders.
Demonstrating excellent problem-solving abilities to identify issues and provide solutions in supply chain finance.
Must have skills:
Trade finance experience must
Expert in Supply Chain Finance
Expert in Stakeholder Engagement & Requirement Gathering
Good to have:
Advanced Business Process Mapping
Data Analytics & Reporting Advanced
Problem-Solving & Critical Thinking Advanced
Communication & Presentation Advanced
Experience level : 10-12 years
Pay and Benefits
Pay Range Minimum: $ 66000 per year
Pay Range Maximum: $ 124000 per year
HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to ****************** for investigation.
Compensation and Benefits:
A candidate's pay within the range will depend on their work location, skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year.
Business Analyst
Senior data analyst- job in New York, NY
****CANNOT WORK CORP TO CORP -- PLEASE DO NOT SOLICIT****
Dice is currently partnering with a government end client to assist in filling a Business Analyst position on a 12+ month contract basis. This position offers a flexible hybrid work schedule and will be based in Long Island, NY (must be willing able to work onsite at least three (3) days per week).
Job Title: Business Analyst
Work Location: Long Island City, NY 11101 (Hybrid)
Summary:
As part of OPT operations, the Planning and Innovation (P&I) team is responsible for providing guidance and standards in the execution of projects. P&I creates tangible goals, aligned with the overall organization's vision, and ensures all targets are met. Guidance comes in the forms of project templates, standardized processes, standardized methodology, requirements for product development and enhancements. Currently, P&I is engaged in a pathbreaking modernization initiative. Dice's customer is focused on a Modernization Project which will solve problems for internal and external stakeholders. This is an extensive business process to reengineer an initiative involving change in business processes, use of new products, and replacing old applications.
We are looking to supplement the existing team with two (2) Business Analysts to help keep these time sensitive initiatives on track. We hope that these resources will be able to work in tandem with the existing team to leverage their deep business knowledge and expand our current operations and scope.
High-Level Effort Goals: Manage, monitor, track, milestones, collect, maintain and revise requirements, test, train and release projects.
Business Analysts: Drive awareness of requirements across business units and identify substandard systems processes through evaluation of gaps in current processes.
Responsibilities:
Partner with stakeholders across business units (to develop analyses and documentation in a collaborative way, communicating effectively and efficiently with production, managerial, and executive teams
Evaluate, analyze, and communicate systems requirements on a continuing basis, and maintain systems processes, including the delivery of monthly status reports to all appropriate parties
Author and update internal and external documentation, and formally initiate and deliver requirements and documentation
Conduct daily systems analytics to maximize effectiveness and troubleshoot problems
Develop meaningful and lasting relationships with partners for optimized systems integration, and respond to questions and concerns from managers and executives with supporting research and recommendation
Qualifications:
Bachelor's Degree or a Master's degree in business, management, information technology or a related field from an accredited college or related field.
Strong working knowledge of relevant Microsoft applications, including Visio and/or Lucidchart
High proficiency in documentation and communication with stakeholders
Excellent organizational skills and the ability to work as a team member
Ability to successfully engage in multiple initiatives simultaneously
Lead HPC Architect Cybersecurity - High Performance & Computational Data Ecosystem
Senior data analyst- job in New York, NY
The Scientific Computing and Data group at the Icahn School of Medicine at Mount Sinai partners with scientists to accelerate scientific discovery. To achieve these aims, we support a cutting-edge high-performance computing and data ecosystem along with MD/PhD-level support for researchers. The group is composed of a high-performance computing team, a clinical data warehouse team and a data services team.
The Lead HPC Architect, Cybersecurity, High Performance Computational and Data Ecosystem, is responsible for designing, implementing, and managing the cybersecurity infrastructure and technical operations of Scientific Computing's computational and data science ecosystem. This ecosystem includes a 25,000+ core and 40+ petabyte usable high-performance computing (HPC) systems, clinical research databases, and a software development infrastructure for local and national projects. The HPC system is the fastest in the world at any academic biomedical center (Top 500 list).
To meet Sinai's scientific and clinical goals, the Lead brings a strategic, tactical and customer-focused vision to evolve the ecosystem to be continually more resilient, secure, scalable and productive for basic and translational biomedical research. The Lead combines deep technical expertise in cybersecurity, HPC systems, storage, networking, and software infrastructure with a strong focus on service, collaboration, and strategic planning for researchers and clinicians throughout the organization and beyond. The Lead is an expert troubleshooter, productive partner and leader of projects. The lead will work with stakeholders to make sure the HPC infrastructure is in compliance with governmental funding agency requirements and to promote efficient resource utilizations for researchers
This position reports to the Director for HPC and Data Ecosystem in Scientific Computing and Data.
Key Responsibilities:
HPC Cybersecurity & System Administration:
Design, implement, and manage all cybersecurity operations within the HPC environment, ensuring alignment with industry standards (NIST, ISO, GDPR, HIPAA, CMMC, NYC Cyber Command, etc.).
Implement best practices for data security, including but not limited to encryption (at rest, in transit, and in use), audit logging, access control, authentication control, configuration managements, secure enclaves, and confidential computing.
Perform full-spectrum HPC system administration: installation, monitoring, maintenance, usage reporting, troubleshooting, backup and performance tuning across HPC applications, web service, database, job scheduler, networking, storage, computes, and hardware to optimize workload efficiency.
Lead resolution of complex cybersecurity and system issues; provide mentorship and technical guidance to team members.
Ensure that all designs and implementations meet cybersecurity, performance, scalability, and reliability goals. Ensure that the design and operation of the HPC ecosystem is productive for research.
Lead the integration of HPC resources with laboratory equipment for data ingestion aligned with all regulatory such as genomic sequencers, microscopy, clinical system etc.
Develop, review and maintain security policies, risk assessments, and compliance documentation accurately and efficiently.
Collaborate with institutional IT, compliance, and research teams to ensure all regulatory, Sinai Policy and operational alignment.
Design and implement hybrid and cloud-integrated HPC solutions using on-premise and public cloud resources.
Partner with other peers regionally, nationally and internationally to discover, propose and deploy a world-class research infrastructure for Mount Sinai.
Stay current with emerging HPC, cloud, and cybersecurity technologies to keep the organization's infrastructure up-to-date.
Work collaboratively, effectively and productively with other team members within the group and across Mount Sinai.
Provide after-hours support as needed.
Perform other duties as assigned or requested.
Requirements:
Bachelor's degree in computer science, engineering or another scientific field. Master's or PhD preferred.
10 years of progressive HPC system administration experience with Enterprise Linux releases including RedHat/CentOS/Rocky Systems, and batch cluster environment.
Experience with all aspects of high-throughput HPC including schedulers (LSF or Slurm), networking (Infiniband/Gigabit Ethernet), parallel file systems and storage, configuration management systems (xCAT, Puppet and/or Ansible), etc.
Proficient in cybersecurity processes, posture, regulations, approaches, protocols, firewalls, data protection in a regulated environment (e.g. finance, healthcare).
In-depth knowledge HIPAA, NIST, FISMA, GDPR and related compliance standards, with prove experience building and maintaining compliant HPC system
Experience with secure enclaves and confidential computing.
Proven ability to provide mentorship and technical leadership to team members.
Proven ability to lead complex projects to completion in collaborative, interdisciplinary settings with minimum guidance.
Excellent analytical ability and troubleshooting skills.
Excellent communication, documentation, collaboration and interpersonal skills. Must be a team player and customer focused.
Scripting and programming experience.
Preferred Experience
Proficient with cloud services, orchestration tools, openshift/Kubernetes cost optimization and hybrid HPC architectures.
Experience with Azure, AWS or Google cloud services.
Experience with LSF job scheduler and GPFS Spectrum Scale.
Experience in a healthcare environment.
Experience in a research environment is highly preferred.
Experience with software that enables privacy-preserving linking of PHI.
Experience with Globus data transfer.
Experience with Web service, SAP HANA, Oracle, SQL, MariaDB and other database technologies.
Strength through Unity and Inclusion
The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai's unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual.
At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history.
About the Mount Sinai Health System:
Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time - discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients' medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status.
Equal Opportunity Employer
The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization.
Business Analyst - Back Office Migration (Broker Dealer)
Senior data analyst- job in New York, NY
As the founding entity of RAINBOW PARTNERS, Quanteam is a consulting firm specialized in Banking, Finance, and Financial Services. Through our core human values - proximity, teamwork, diversity, excellence - our 850 expert consultants, hailing from 35 different nationalities, collaborate across 13 international offices: Paris, Lyon, New York, Montreal, London, Brussels, Luxembourg, Geneva, Lisbon, Porto, Casablanca, Madrid and Singapore.
Contract Type: Long-term consulting assignment with our client, Full time W2 role with Quanteam
Context
We are looking for a Senior Business Analyst with strong broker-dealer operations expertise to support a large-scale back-office subledger migration from a legacy internal platform to a leading vendor solution.
The consultant will serve as a key liaison between Operations, IT, Finance, and the Vendor, ensuring operational readiness, testing coverage, and comprehensive documentation throughout all migration phases.
You will represent the Operations department in all conversion activities, helping to define requirements, validate workflows, and support data and process migration for cash equities, listed options, and asset servicing.
Main Responsibilities
Act as the Operations representative across project and vendor meetings
Produce clear documentation: business requirements, testing plans, and executive summaries of key deliverables
Support the development of the chart of accounts and accounting feed mappings
Design and execute detailed test scripts covering:
Trade capture & settlement
Asset servicing
Regulatory reporting (e.g. Reg Sho, short interest)
Security & account masters
Cash / position reconciliations (system vs clearinghouse vs ledger)
Shadow output validation for accounting feeds
Contribute to migration strategies and operational playbooks
Update existing operating procedures to integrate the new system.
Required Skills & Experience
Strong background in broker-dealer operations: equities, U.S. options, clearing, custody
Excellent understanding of trade lifecycles and DTCC / OCC workflows (TradeSuite, etc.)
Hands-on experience in system migration / conversion projects
Working knowledge of how OMS platforms interface with back-office and accounting systems
Proficient in writing clear functional documentation and test cases
Familiarity with Broadridge Shadow or similar back-office systems is a strong asset
Insurance Business Systems Analyst
Senior data analyst- job in Greenwich, CT
Source One is a consulting services company and we're currently looking for the following individual to work as a consultant with our direct client, a global speciality insurance carrier in Greenwich, CT. This is a Hybrid role see details below.
This role will be Hybrid (4 days onsite, 1 day remote) and available to candidates local to the Greenwich, CT area.
No C2C, Third Party or Sponsorship
Title: Insurance Business Systems Analyst
Location: Hybrid (4 days onsite, 1 day remote)
Hybrid (Mon-Fri, 40 hours)
Fulltime, Permanent
Salary Range : $70,000.00- $80,000.00 10%bonus eligible)
MUST HAVE Recent Experience in the Insurance Industry!
This role will help bridge the gap between business needs and IT solutions in the insurance industry by gathering requirements, assisting with implementation efforts, supporting end users and software systems, and improving upon business processes. Collaborate with stakeholders, analyze data, author business and technical requirements, and help ensure that technology projects align with insurance industry standards and company goals.
Responsibilities
• Gather and define business requirements: Work with subject matter experts to collect and document business needs for new or enhanced systems through interviews, workshops, and surveys.
• Systems Support: Help with the implementation, maintenance, and ongoing production support of critical insurance software systems and ensure system performance and stability.
• Troubleshoot and test: Assist in testing and troubleshooting systems to resolve issues and ensure they function correctly.
• Project Work: Assist with projects and shifting priorities as needed.
• Liaise between business and IT: Function as a communication bridge between business departments (like underwriting, operations, finance) and the information technology team.
• Improve processes: Analyze existing business processes to identify areas for improvement and efficiency gains.
• Analyze data: Evaluate data to inform decision-making and report on key performance indicators (KPIs).
• Training and documentation: Train users on software applications, system enhancements, and create detailed business process documentation.
• Reporting: Respond to user requests to generate reports from the system.
Skills & Requirements
• Minimum of 3-5 years of experience.
• Insurance Industry Knowledge: A strong understanding of insurance products, business processes, and industry regulations is crucial.
• Analytical and problem-solving: Ability to analyze complex situations, identify root causes of problems, and develop effective solutions.
• Communication: Excellent written and verbal communication skills to effectively collaborate with diverse business stakeholders and technical teams.
• Project Management and Process Knowledge: Familiarity with different project management methodologies like Agile or Waterfall, and the ability to create process flows and user stories is beneficial.
• Software Familiarity: Experience with specific insurance software platforms like Guidewire, Duck Creek, Insurity, Origami, can be a significant advantage.
• Technical Skills: Experience with SQL, data visualization tools, Power BI, and understanding of software systems
Big Data Developer
Senior data analyst- job in Jersey City, NJ
Designing Hive/HCatalog data model includes creating table definitions, file formats, compression techniques for Structured & Semi-structured data processing
Implementing Spark processing based ETL frameworks
Implementing Big data pipeline for Data Ingestion, Storage, Processing & Consumption
Modifying the Informatica-Teradata & Unix based data pipeline
Enhancing the Talend-Hive/Spark & Unix based data pipelines
Develop and Deploy Scala/Python based Spark Jobs for ETL processing
Strong SQL & DWH concepts
Senior Data Architect
Senior data analyst- job in New York, NY
About the Company
Mphasis applies next-generation technology to help enterprises transform businesses globally. Customer centricity is foundational to Mphasis and is reflected in the Mphasis' Front2Back™ Transformation approach. Front2Back™ uses the exponential power of cloud and cognitive to provide hyper-personalized (C=X2C2TM=1) digital experience to clients and their end customers. Mphasis' Service Transformation approach helps ‘shrink the core' through the application of digital technologies across legacy environments within an enterprise, enabling businesses to stay ahead in a changing world. Mphasis' core reference architectures and tools, speed and innovation with domain expertise and specialization are key to building strong relationships with marquee clients.
About the Role
Senior Level Data Architect with data analytics experience, Databricks, Pyspark, Python, ETL tools like Informatica. This is a key role that requires senior/lead with great communication skills who is very proactive with risk & issue management.
Responsibilities
Hands-on data analytics experience with Databricks on AWS, Pyspark and Python.
Must have prior experience with migrating a data asset to the cloud using a GenAI automation option.
Experience in migrating data from on-premises to AWS.
Expertise in developing data models, delivering data-driven insights for business solutions.
Experience in pretraining, fine-tuning, augmenting and optimizing large language models (LLMs).
Experience in Designing and implementing database solutions, developing PySpark applications to extract, transform, and aggregate data, generating insights.
Data Collection & Integration: Identify, gather, and consolidate data from diverse sources, including internal databases and spreadsheets ensuring data integrity and relevance.
Data Cleaning & Transformation: Apply thorough data quality checks, cleaning processes, and transformations using Python (Pandas) and SQL to prepare datasets.
Automation & Scalability: Develop and maintain scripts that automate repetitive data preparation tasks.
Autonomy & Proactivity: Operate with minimal supervision, demonstrating initiative in problem-solving, prioritizing tasks, and continuously improving the quality and impact of your work.
Qualifications
15+ years of experience as Data Analyst / Data Engineer with Databricks on AWS expertise in designing and implementing scalable, secure, and cost-efficient data solutions on AWS.
Required Skills
Strong proficiency in Python (Pandas, Scikit-learn, Matplotlib) and SQL, with experience working across various data formats and sources.
Proven ability to automate data workflows, implement code-based best practices, and maintain documentation to ensure reproducibility and scalability.
Preferred Skills
Ability to manage in tight circumstances, very pro-active with risk & issue management.
Requirement Clarification & Communication: Interact directly with colleagues to clarify objectives, challenge assumptions.
Documentation & Best Practices: Maintain clear, concise documentation of data workflows, coding standards, and analytical methodologies to support knowledge transfer and scalability.
Collaboration & Stakeholder Engagement: Work closely with colleagues who provide data, raising questions about data validity, sharing insights, and co-creating solutions that address evolving needs.
Excellent communication skills for engaging with colleagues, clarifying requirements, and conveying analytical results in a meaningful, non-technical manner.
Demonstrated critical thinking skills, including the willingness to question assumptions, evaluate data quality, and recommend alternative approaches when necessary.
A self-directed, resourceful problem-solver who collaborates well with others while confidently managing tasks and priorities independently.
SAP Data Migration Developer
Senior data analyst- job in Englewood, NJ
SAP S4 Data Migration Developer
Duration: 6 Months
Rate: Competitive Market Rate
This key role is responsible for development and configuration of SAP Data Services Platform with in Client's Corporate technology to deliver a successful data conversion and migration from SAP ECC to SAP S4 as part of project Keystone.
KEY RESPONSIBILITIES -
Responsible for SAP Data Services development, design, job creation and execution. Responsible for efficient design, performance tuning and ensuring timely data processing, validation & verification.
Responsible for creating content within SAP Data Services for both master and transaction data conversion (standard SAP and Custom data objects). Responsible for data conversion using Staging tables and work with SAP teams for data loads in SAP S4 and MDG environments.
Responsible for building validation rules, scorecards and data for consumption in Information Steward pursuant to conversion rules as per Functional Specifications. Responsible to adhere to project timelines, deliverables and account for object delivery for teams involved. To take part in meetings, execute plans, design, develop custom solutions within Clients O&T Engineering scope.
Work in all facets of SAP Data Migration projects with focus on SAP S4 Data Migration using SAP Data Services Platform
Hands-on development experience with ETL from legacy SAP ECC environment, conversions and jobs.
Demonstrate capabilities with performance tuning, handling large data sets.
Understand SAP tables, fields & load processes into SAP S4, MDG systems
Build validation rules, customize, and deploy Information Steward scorecards, data reconciliation and validation
Be a problem solver and build robust conversion, validation per requirements.
SKILLS AND EXPERIENCE
6-8 years of experience in SAP Data Services application as a developer
At least 2 SAP S4 Conversion projects with DMC, Staging Tables & updating SAP Master Data Governance
Good communication skills, ability to deliver key objects on time and support with testing, mock cycles.
4-5 Years development experience in SAP Data Services 4.3 Designer, Information Steward
Taking ownership and ensuring high quality results
Active in seeking feedback and making necessary changes
Specific previous experience -
Proven experience in implementing SAP Data Services in a multinational environment.
Experience in design of data loads of large volumes to SAP S4 from SAP ECC
Must have used HANA Staging tables
Experience in developing Information Steward for Data Reconciliation & Validation (not profiling)
REQUIREMENTS
Adhere to work availability schedule as noted above, be on time for meeting
Written and verbal communication in English
Epic Rehab System Analyst
Senior data analyst- job in Hicksville, NY
Epic System Analyst (Rehab)
The Clinical Systems Analyst - Rehab will be responsible for implementing/developing Epic and related applications.
This position will develop, implement, manage and provide ongoing support for clinical information systems.
Will proactively increase knowledge of Epic EHR software, health system operations and will work with the Epic project team to translate business needs into EHR functionality.
Will analyze procedures and problems, report findings and make recommendations for resolutions. Responsible for formulating objectives to meet system scope.
This position will interact with clients and build problem solving partnerships with clinical and business providers, customers and colleagues, while working independently building system components, testing, documenting, and ensuring 24/7 system support and maintenance.
Education -
Preferred Epic proficient/certified in Rehab.
Required Epic proficient/certified in EpicCare Inpatient or Ambulatory.
Bachelor's degree in information technology or related field (or equivalent combination of education and experience) preferred.
Experience -
Familiarity with clinical hospital software and/or hardware technology, database, screen handler, query languages, including ability to design, configure, train, or implement clinical systems.
Healthcare support experience is desired in areas such as billing, scheduling, access services, and health information management.
Hands on Epic clinical systems experience desirable.
Prefer prior experience working on project team, clinical systems support, and general knowledge of healthcare information issues.
Knowledge/Skills/Abilities -
Knowledge of current business practices and computing systems, interfaces and rehab hospital and medical rehab group practice standard software
including computer systems and methods utilized in structuring and preparing input data for computer applications.
Knowledge of a variety of hardware and software environments and of the healthcare industry and Epic healthcare applications required. Analytical skills necessary to apply computer technology to resolve clinical problems and/or increase operational efficiency of data processing systems.
Ability to analyze the functionality of systems and their fit with specifications. Understands relationships between system processes/programs, system parameters, files and data relationships for assigned products.
Ability to research, analyze and thoroughly understand workflows of end users, using this knowledge to configure systems which improve processes, add efficiencies and promote patient safety.
Familiar with program development tools such as editors and configuration tools. Basic knowledge of standardized quality improvement methodologies.
Ability to respond to changing demands, priorities, procedures and technology.
Able to lead groups to make key decisions.
Ability to lead meetings, prioritize, resolve conflicts, maintain issues lists and help manage a project plan. Interpersonal skills necessary to communicate effectively with user departments in ascertaining and converting needs for application to electronic data processing systems.
Ability to express needs clearly, both verbally and in writing. Ability to work independently. Self-directed in identifying changing demands and priorities.
Acts as a change agent in adjusting to new procedures and technology. Dedication to detail with proven organizational skills.
Ability to establish and maintain effective working relationships with co-workers, supervisors, and users.
Project management and planning expertise.
Ability to set priorities, produce accurate work, and meet deadlines; ability to function in a setting with a wide variety of duties and numerous interruptions.
Senior Functional BA - Orchestrade
Senior data analyst- job in New York, NY
Project Description:
The project is a Hedge Fund Management Trading Platform implementation
You will be part of a Top Initiative for this hedge fund
This is a brilliant opportunity to work on several types of products and learn a new trading platform.
The team will be responsible for the implementation of a new trading system.
Pre-deal origination workflow and post-execution monitoring and life-cycle management.
Dedicated workflow, configuration of the platform, supporting business
Leverage strategic firm standard risk systems
Integration with Operations, Finance
Reporting, Reconciliation
The application is Orchestrade:
Orchestrade is in .Net (C#): Natively connected to Excel
Database: Microsoft SQL
Delivered In-House or Hosted (Amazon Web Services)
The role requires analysis to build and define the implementation roadmap and then execute the delivery plan.
Also, you will join our Orchestrade Practice and become a member of our open-minded, progressive, and professional team.
You will have a chance to grow your functional and soft skills and build a thorough expertise of the industry of our client.
Responsibilities:
Act as a senior business analyst with several years of experience (10+) in capital markets and trading software
Be an integral part of the design, implementation, and test team
Gather requirements by conducting workshops/one-on-one discussions with the business teams/SMEs.
Analyze, evaluate, and verify requirements by working closely with other development and verification team members & business representatives.
Document the requirement in JIRA as user stories and provide proper acceptance criteria.
Create user stories, use cases and scenarios for the given requirements
Work and communicate in a cross-functional Global team comprised of BA, Developers, project managers, support representatives, etc.
Testing & confirming if the development is as per the features requested.
Proactively provide status, raise issues, and communicate necessary information to ITPL and/or appropriate team members on a regular basis via daily stand-up meetings and one-on-one meetings.
Participate in discussions and/or presentations
Facilitate and assist in the story point estimation/task estimation process related to activities in an Agile environment.
Mandatory Skills Description:
Essential Skills and Qualifications:
Hands-on experience on Orchestrade
Capital Market experience with strong cross-products knowledge
Excellent analytical skills, understanding of project life cycles, and ability to act in an entrepreneurial manner to ensure the requirements from the business are gathered in the appropriate manner.
Proven analytical, planning, problem-solving, and decision-making skills
Comfortable with direct communication with all levels of technical and business resources
Exposure to trading platform like Murex, Calypso, Orchestrade, etc.
Excellent organizational and time management skills with the ability to handle multiple tasks simultaneously
Experience with working in a highly collaborative and dynamic multi-team environment
Knowledge of financial products/experience in Banking
Experience in writing user stories and working with JIRA/similar tools.
System Integration and User Acceptance testing
Nice-to-Have Skills Description:
Experience on a trading platform like Murex or Calypso is definitely a plus
Experience of Agile practices and processes (e.g., SCRUM, KANBAN)
The ability to work under pressure in a fast-paced environment is essential.
Have a willingness to learn new skills and do whatever is necessary to "get the job done."
Must have attention to detail and have the ability to work independently and also as part of a group;
Basic technical skills-SQL, C# knowledge
Languages:
English: C2 Proficient