Junior data analyst jobs in Hawthorne, NJ

SystemsAccountants is partnering with a client in the hospitality and entertainment sector to identify a Data Analyst who will join their finance team and drive analytics initiatives across the organization. This role is ideal for someone who thrives on transforming complex data into clear, actionable insights that influence strategic decisions. Location: Hybrid in New York City Compensation: $90,000 $120,000 About the Role The Data Analyst will work closely with stakeholders across departments including Operations, Marketing, Finance, and Food & Beverage to analyze datasets, build models, and deliver reporting that supports data-driven decision-making. This position offers the opportunity to shape analytical best practices and contribute to a culture where data informs every major business decision. Responsibilities Analyze complex datasets using SQL, Python, and BI tools to generate insights that drive business outcomes Design, build, and maintain dashboards, models, and reports that enable leadership and operational teams to make informed decisions Partner with business stakeholders to define problems, establish metrics, and translate questions into structured analytical frameworks Present findings through visualizations, presentations, and narratives that make complex statistical concepts accessible to non-technical audiences Collaborate with Data Engineering to identify high-impact datasets, optimize data structures, and streamline processes for faster insight delivery Mentor junior analysts and contribute to the continuous improvement of analytical standards and practices Qualifications Bachelor's degree in Business, Finance, Economics, Data Analytics, Data Science, or a related discipline Three to five years of experience in analytics, business intelligence, or a related field Advanced proficiency in SQL with demonstrated experience querying large, complex datasets Strong Python skills for data manipulation, analysis, and automation Experience building models and performing analytics outside of Excel Ability to communicate statistical concepts clearly to stakeholders at all levels Experience in gaming, leisure, entertainment, or financial services is highly preferred

Title: AWS Data Analyst Duration: 6+ Months (with extension) Rate: $50-51/hour on W2 The ideal candidate will have strong analytical abilities, proficiency in tools like SQL, Excel, and Python, and excellent communication skills to translate complex data into actionable business strategies. Required: Bachelor's degree in Computer Science, Data Engineering, or related field with 5+ years of experience in data analyst roles Proficiency in SQL, Python, or Scala for data transformation and processing. Working Knowledge of AWS services Proven experience in data analysis, business intelligence, or related roles. Strong analytical and problem-solving skills with attention to detail. Excellent communication skills Ability to work independently and collaboratively in a fast-paced environment. Key Responsibilities Extract, clean, and analyze large datasets from multiple sources. Write complex SQL queries to retrieve, manipulate, and analyze data efficiently. Develop and maintain dashboards and reports for business stakeholders. Work with AWS services such as S3, Redshift, Athena, and Glue for data processing and analysis. Collaborate with cross-functional teams to understand data requirements and provide actionable insights. Ensure data integrity, consistency, and security across various databases. Identify trends, anomalies, and opportunities in data to drive business decisions.

Manager, SAP Public Cloud Data Salary Range: $135,000 - $218,000 Introduction We're seeking an experienced SAP data conversion leader to join a rapidly growing Advisory practice at a leading professional services firm. This role is perfect for a strategic thinker who thrives on complex data challenges and wants to make a significant impact on large-scale SAP S/4HANA Public Cloud implementations. You'll lead the entire data conversion workstream, develop innovative solutions, and mentor teams while working with enterprise clients on their digital transformation journeys. If you're looking for a firm that prioritizes professional growth, offers world-class training, and values collaboration, this is an exceptional opportunity to advance your career. Required Skills & Qualifications Minimum 5 years of experience in SAP data conversion and governance Must have experience for a Big 4 At least one full lifecycle SAP S/4HANA Public Cloud implementation with direct involvement in scoping and designing the data workstream during the sales pursuit phase Bachelor's degree from an accredited college or university in an appropriate field Proven expertise in developing and executing end-to-end data conversion strategies, including legacy landscape assessment, source-to-target mapping, and data governance framework design Demonstrated success managing complete data conversion workstreams within large-scale SAP programs, including planning, risk mitigation, issue resolution, and budget oversight Strong technical command of data architecture principles with hands-on experience designing ETL pipelines and leading full data migration lifecycles from mock cycles through final cutover Ability to travel 50-80% Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future Preferred Skills & Qualifications Experience with SAP BTP (Business Technology Platform) and Datasphere for data orchestration Track record of developing reusable ETL templates, automation scripts, and governance accelerators Experience supporting sales pursuits by providing data conversion scope, solution design, and pricing input Strong leadership and mentoring capabilities with data-focused teams Day-to-Day Responsibilities Develop and own comprehensive data conversion strategies, assessing legacy landscapes, defining source-to-target mapping, establishing cleansing protocols, and designing data governance frameworks Lead the data conversion workstream within SAP S/4HANA programs, managing project plans, budgets, and financials while proactively identifying and resolving risks and issues Design and oversee data conversion architecture, including ETL pipelines, staging strategies, and validation protocols Execute hands-on the full data conversion lifecycle, including ETL design, multiple mock cycles, data validation, and final cutover, ensuring alignment with program milestones Support pursuit directors during sales cycles by providing expert input into data conversion scope, solution design, and pricing Lead and mentor data conversion teams by assigning tasks, managing delivery quality, and fostering a collaborative culture Drive efficiency through the development of reusable templates and automation accelerators for future projects Company Benefits & Culture Comprehensive, competitive benefits package including medical, dental, and vision coverage 401(k) plans with company contributions Disability and life insurance Robust personal well-being benefits supporting mental health Personal Time Off based on job classification and years of service Two annual breaks where PTO is not required (year-end and July 4th holiday period) World-class training facility and leading market tools Continuous learning and career development opportunities Collaborative, team-driven culture where you can be your whole self Fast-growing practice with abundant advancement opportunities Note: This position does not offer visa sponsorship (H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa). #TECH

A NY-based financial firm is looking for an experienced SQL Server Data Base Analyst to: Manage the mission-critical production environment of mixed editions of Microsoft SQL Servers Troubleshoot performance issues Actively provide guidance and recommendations on best practices in SQL programming Be on call for overnight jobs Requirements Minimum 8 years of hands-on experience in managing Microsoft SQL Server 2012, 2016, 2019, or 2022, including: Installation and configuration Backup-restore job management Server health, job performance, and resource utilization Monitoring Extensive experience in troubleshooting database issues and monitoring the performance of SQL Agent jobs using tools such as dynamic management views and DBCC commands. Extensive experience in SQL performance tuning, including: Analyzing query plan Stored procedure statistics and index optimization Blocking and deadlock detection Resource governance Extensive experience in: Data replication, Failover and disaster recovery, High availability Familiarity with SQL Server features such as log shipping, database mirroring, and transactional replication. Always-on experience a plus. Keywords: Microsoft SQL Servers, DBA, Performance, Troubleshooting, Data Replication, Database Mirroring Please send resumes to Jim Geiger, jeg@analyticrecruiting.com | For more opportunities, please

The Data Analyst will join the Knowledge & Innovation group and serve as a key contributor to the development and deployment of data and AI-driven solutions. This role focuses on applying analytics, machine learning, and large language models to deliver insights that support both legal teams and business functions. Working closely with cross-functional stakeholders and technology partners, the Data Analyst will help design and implement modern data solutions that improve efficiency, elevate internal client service, and support informed decision-making. This position offers the opportunity to help shape how advanced data and AI capabilities are adopted within a leading legal organization. Key Responsibilities Partner with attorneys, practice teams, and business stakeholders to understand challenges and identify opportunities for data- and AI-enabled process improvements. Convert complex legal concepts and workflows into clearly defined data models and AI applications. Architect, develop, and support scalable data pipelines and analytics platforms that power reporting, business intelligence, and AI initiatives. Perform data analysis and modeling using tools such as SQL, Python, R, and related technologies to uncover trends and insights. Work alongside internal technology teams to enhance and maintain core data assets, including databases and data warehouses. Build processes and tools that transform raw data into accessible, intuitive datasets that support self-service reporting and analytics. Leverage advanced analytical techniques, including machine learning and natural language processing, to identify patterns, relationships, and predictive insights. Create and deploy analytical solutions for a range of use cases, including text analysis, forecasting, and trend analysis. Develop, test, and optimize prompts for large language models to support legal research, drafting, and knowledge management workflows. Deliver end-to-end data and AI solutions, from initial concept and prototyping through production implementation. Monitor emerging trends in data science and artificial intelligence, incorporating new methodologies and technologies where they add value. Skills & Qualifications Bachelor's degree in Data Science, Computer Science, Engineering, or a related discipline required Advanced degree preferred, particularly with a focus on deep learning, NLP, or information retrieval At least 3 years of relevant professional experience, including a minimum of 2 years in data engineering and/or data science roles Demonstrated experience in data engineering, analytics, and data modeling Strong command of Python, R, and SQL Practical experience with machine learning, NLP, and data visualization tools Ability to clearly communicate technical concepts to non-technical audiences Prior experience in a legal, consulting, or professional services environment is a plus

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.

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.

Property and Casualty Insurance Industry Bergen County, NJ Do you possess expertise in Workers' Compensation regulations and compliance? Our client, a top-tier property and casualty insurance firm, is seeking someone to gather and submit Policy and Proof of Coverage information to relevant state and national Workers' Compensation bureaus. Your duties would include consistently checking for errors and addressing any feedback from bureaus regarding Unit Statistical Reporting data; you will need to work closely with agency and underwriting teams to quickly correct any discrepancies. It is essential to monitor Workers' Compensation Circulars across all states and inform management about any changes in forms, rates, or regulations. You will collaborate with IT and Underwriting departments to integrate regulatory updates into internal systems for ongoing compliance. Support the Underwriting team with regulatory documents, such as ERM-14 forms and ownership details. Investigate and rectify any discrepancies in DMV data that could affect bureau reporting. Keep yourself updated on legal and regulatory changes impacting Workers' Compensation and communicate significant updates internally. It is important to maintain good relationships with regulatory agencies to foster effective communication and resolve issues promptly. You will also need to manage incoming data requests and notifications from state bodies and regulatory authorities. Collaborating across functions with Accounting, IT, and Claims departments will be necessary to compile data for required reports. Ensure all regulatory reports and assessments are accurately completed and submitted on time to the relevant state agencies and bureaus. Track and systematize invoices received from regulatory entities and keep precise records. Work with Accounting for prompt invoice payments, whether through check issuance or online payment methods, pending management approval. Additionally, assist in monitoring state licensing and producer appointments to confirm adherence to state insurance regulations. A minimum of three years' experience in Workers' Compensation regulations and reporting is required. A Bachelor's Degree is necessary. Strong organizational and multitasking abilities, effective time management, communication, and analytical skills are essential. Proficiency in Microsoft Office, particularly Excel, is vital.

Credit Card Domain • 15+ year of credit card, payments experience from banking industry • 10+ years of experience in end to end lifecycle of Credit Card issuer area • Expert in card application, account management, credit & terms, rewards & benefits, payment processing, billing and collection • Expert in monetary processing, Non-Monetary processing, Credit Bureau Processing, Reissue, Month end processing, • Experience in Payments, Rewards, Rules processing, Configurations, and Reporting, • Experience in regulatory compliance in the area of interest rate, and cardholder data • Working knowledge of how credit card issuer lifecycle works for business / merchant, financial institutes • Good to have knowledge of BIAN methodology & standards Soft skill • Collaborate with business stakeholders to understand and document current business processes and automation requirements. • Ability to demonstrate, articulate functional implementation of card development projects • Work with cross-functional teams to define and document detailed business requirements, including process flows, use cases, and user stories. • Facilitate workshops and meetings to gather input and feedback from business users and subject matter experts • Collaborate with IT teams to translate business requirements into technical specifications. • Create test plans, test cases, and conduct testing to ensure that automation solutions meet business requirements. • Provide training and support to end-users and ensure the successful adoption of solutions. • Stay current with industry best practices and emerging automation trends. Behavioral Skills • Good Communication skills • Flexible to rotational shifts, 5 days WFO • Team Player • Ability to work in a changing environment • Strong problem solving and analytical skills • Ability to work independently or within a team • Manage day-to-day challenges and communicate developmental risks with the technical team

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.

Job Title: SME Product Analyst with Next Gen Software Solutions LLC Work Schedule: 5 days a week onsite Job Description: Credit Card Domain 15+ year of credit card, payments experience from banking industry 10+ years of experience in end-to-end lifecycle of Credit Card issuer area Expert in card application, account management, credit & terms, rewards & benefits, payment processing, billing and collection Expert in monetary processing, non-monetary processing, Credit Bureau Processing, Reissue, Month end processing, Experience in Payments, Rewards, Rules processing, Configurations, and Reporting, Experience in regulatory compliance in interest rate, and cardholder data Working knowledge of how credit card issuer lifecycle works for business / merchant, financial institutes • Good to have knowledge of BIAN methodology & standards Soft skill Collaborate with business stakeholders to understand and document current business processes and automation requirements. Ability to demonstrate, articulate functional implementation of card development projects Work with cross-functional teams to define and document detailed business requirements, including process flows, use cases, and user stories. Facilitate workshops and meetings to gather input and feedback from business users and subject matter experts Collaborate with IT teams to translate business requirements into technical specifications. Create test plans, test cases, and conduct testing to ensure that automation solutions meet business requirements. Provide training and support to end-users and ensure the successful adoption of solutions. Stay current with industry best practices and emerging automation trends. Behavioural Skills Good Communication skills Flexible to rotational shifts, 5 days WFO Team Player Ability to work in a changing environment Strong problem solving and analytical skills Ability to work independently or within a team Manage day-to-day challenges and communicate developmental risks with the technical team About Next Gen Software Solutions LLC: Next Gen Software Solutions is a trusted provider of IT Staffing and consulting services dedicated to empowering businesses with cutting-edge technology solutions and exceptional talent. We specialize in delivering tailored IT consulting services, innovative software solutions, and connecting businesses with highly skilled IT professionals. Founded and led by a dedicated U.S. Army solider, Next Gen Software Solutions is deeply rooted in the core values of integrity, discipline, commitment, and experience-principles that guide every aspect of our operations. Equal Employment Opportunity Statement: Next Gen Software Solutions LLC is an Equal Opportunity Employer. We are committed to fostering an inclusive and diverse workplace where all employees and applicants are treated respect and dignity. We do not discriminate based on race, colour, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, genetic information, veteran status, or any other legally protected characteristic under applicable federal, state, or local laws.

Atlanta, GA (Remote) with occasional travel to NYC Employees: 50 Industry: SaaS, Hospitality, Media, Marketing Reports To: Vice President, Product Responsibilities: Building forecasting and yield optimization models across the publisher network Predicting attribution outcomes and designing strategies that optimize yield Owning projects from end-to-end, from data ingestion, advanced modeling, delivering insights Refining yield optimization frameworks to maximize ROI for customers Applying advanced methods such as time series forecasting, casual inference, clustering, and optimization algorithms Delivering reporting and insights to partners and product teams, guiding decision making and product feature development Building dashboards and data visualizations to make outputs accessible Partnering with engineering teams to embed forecasting and yield models into the platform Requirements: 5+ years of experience in data analysis, forecasting, and yield management Expertise in time series forecasting and optimization Strong SQL querying and data wrangling skills Experience working with marketing, demand generation, and/or digital media data Programming skills in Python and/or R for modeling and statistical analysis Experience analyzing large, complex datasets from multiple sources Exposure to hospitality, travel, or performance marketing attribution is preferred Experience with Azure and/or SQL Server is preferred Benefits: Annual bonus plan, equity, 401K with 4% match, monthly wellness stipend, comprehensive medical and dental insurance plans, long-term disability, and more Compensation: $120K - $160K + 10% Bonus + Equity

Job Title: Data Analyst IV Duration: 6 Months We are looking for experienced professionals with a strong background in advanced data analysis, excellent communication skills, and a proven ability to build and maintain KPI dashboards. Additionally, our client is someone who has a passion for diving deep to understand where and how there are opportunities within our processes to improve performance and reduce waste. This individual has a demonstrated ability to leverage large data sets and advanced tooling. They also will have strong analytical & investigative skills and should be comfortable with ambiguity and experimentation. Responsibilities: Design and develop data dashboards and solutions that help the team and leadership make data driven analytical decisions tailored to improve the business. Utilize AI tools to help automate routine analysis and scale solutions. Apply expertise in quantitative analysis and statistical analysis to formulate deep-level insights that help identify trends & opportunities to drive growth of our business, and measure impact. Conduct in-depth investigations leveraging large and complex data sets. Partner with Operations Project Managers, Data Science, Product teams to solve problems at scale. Inform and execute new strategies and tactics using analysis and impact metrics. Build narrative around data quality and provide insights that will help in better annotation project performance opportunities. Handle relational and non- relational databases, data frames and/or Business Intelligence development, performing data transformations and data manipulation. Leverage appropriate analytical techniques to draw conclusions from structured and unstructured data and answer exploratory and hypothesis-based questions that inform data-driven decisions. Minimum Qualifications: Degree in a related field and 5+ years of work experience in an analyst role. Database querying language (SQL) and programming language (Python) for data processing, data analysis and analytics Experience building and maintaining dashboards for making business decisions Well-versed in AI prompt engineering and utilizing AI to analyze data Advanced Excel / Google Sheet experience Strong communication skills and ability to build relationships and influence stakeholders across functional groups and levels Ability to make judgments under tight deadlines and competing priorities Experience driving collaboration of cross-functional teams, coordinating effectively, and inspiring others Preferred Qualifications: Experience working across time zones and with diverse audiences, including within operations teams and across with key stakeholders and senior leadership Perform quantitative and statistical analysis using advanced methodologies, including linear and logistic regression and forecasting models Served as a thought leader for data-informed initiatives and contributed to the team's direction overall.

Job Title: Sales Operations Analyst/ Data Analyst/ Go-to-Market Analyst # of Headcount: 1 Duration: 12m Pay Range: $82.98 - $106.71 (Please note that the pay rate will range from 82% - 100% based on your location.) Hybrid - NY - Tues/ Wed/ Thursday Required Technical Skills SQL - nonnegotiable. Must be used daily; essential for pulling data from the warehouse and building backend tables for dashboards. Python - preferred/strongly desired. Used to automate processes and accelerate workflows. Intermediate+ level preferred Tableau - mission critical. Candidates must have consistent experience building and maintaining dashboards (not just one-off dashboards). We are looking for a Sales Operations Manager to join our team. As a Sales Operations Manager, you will assist with various new and existing programs managed by the GTM Operations team. In this role, you will leverage your analytical abilities, superior communication, and relationship building skills to provide timely support and solutions to partners and successful program execution. Basic Qualifications: • BA/BS degree in business, engineering, information systems or related discipline • 6+ years of experience in consulting, data analytics, or operations role • Experience working with SQL, Python, Tableau, MS Excel, MS Power Point, O365. Preferred Qualifications: • Ability to present data in an effective, actionable manner and learn new software quickly • Ability to work effectively with cross-functional teams • Experience working with large datasets • Practical understanding of business, technology, big data and/or entrepreneurship • Excellent communication and analytical skills • Ability to effectively manage time, prioritize tasks and work within deadlines with little supervision

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.

The RFP Analyst is responsible for researching, analyzing, and assessing sourcing activities essential to support a food/beverage distributor. This position requires performing project management skills, cost benefit analyses, reviewing contracts, and evaluating pricing formulas to obtain the most advantageous pricing through the RFP process. This position will work from home one day a week after training. Job description Collaborating and coordinating with internal contributors and subject matter experts to ensure complete and accurate RFPs are sent to vendors Analyzing item and category product costs, logistics costs, and other pricing components to perform comparative analysis of vendor proposals Supporting negotiation of contract terms Comparing procurement options and logistics strategies for RFPs Providing ad-hoc financial analysis on trends and insight on business Participating in monitoring of savings achieved due to the RFP process Demonstrating the ability to take real-world analytics/data science projects from start to finish- including data cleaning, descriptive analysis, predictive modeling, and visualizations Skills Required 1+ years of experience in Finance or Data Analytics A Bachelor's Degree in Business, Finance, Economics, Supply Chain Management, Accounting or equivalent High proficiency in Excel and PowerPoint The ability to handle complex projects and problems High attention to detail and great organizational skills Excellent communication skills, both written and verbal Knowledge of SQL and PowerBI About Blue Signal: Blue Signal is an award-winning, executive search firm specializing in various specialties. Our recruiters have a proven track record of placing top-tier talent across industry verticals, with deep expertise in numerous professional services. Learn more at bit.ly/46Gs4yS

About METHODIQ METHODIQ is ODDITY's newest brand, sitting at the intersection of AI-driven technology and medical-grade skincare. As part of ODDITY's portfolio of category-defining consumer-tech companies - including IL MAKIAGE (the fastest-growing online beauty brand in the U.S.) and SpoiledChild (known for its personalized wellness model) - METHODIQ is redefining how science, data, and personalization come together to deliver transformative skin results. Launched this fall, the brand is scaling rapidly - making this a rare opportunity to join early, influence foundational decisions, and see the direct impact of your work on business growth. The Role We're looking for a sharp, analytical, and customer-obsessed individual to join our Customer Experience & Consumer Insights team. In this role, you'll act as the voice of the customer inside the organization - uncovering the signals that drive satisfaction, conversion, and retention - and turning them into strategic initiatives that move the business forward. You will operate across the entire customer journey: translating data and feedback into insights, designing improvements that unlock revenue and loyalty, and partnering closely with Product, Marketing, and Operations to bring solutions to life. Your work will help define what “intelligent skincare” means for the next generation of beauty consumers - and shape a brand with ambitions far beyond traditional skincare. What You'll Do Own and optimize day-to-day CX operations to ensure a seamless experience from purchase to ongoing care Unlock insights from customer, sales, and behavioral data to pinpoint the biggest opportunities for growth Design dashboards, reporting, and KPI frameworks that influence decisions at the leadership level Lead customer research - from surveys to interviews to review/social analysis - to understand the “why” behind customer behavior and validate optimization levers Partner cross-functionally to scope and execute strategic initiatives, tracking impact on revenue and satisfaction Build scalable processes and best practices as volume accelerates during hyper-growth What We're Looking For 1-3 years in consulting, CX strategy, consumer insights, or analytics Strong quantitative and problem-solving skills; comfortable structuring ambiguous problems and working with data tools (Excel; SQL/Looker/Alteryx a plus) Excellent communication - capable of turning insights into stories and influence Naturally curious, proactive, and adaptable - energized by fast-paced environments Customer empathy combined with business acumen - instinctively sees the link between experience and commercial outcomes Why METHODIQ Join a fast-growing brand backed by ODDITY, where you'll have meaningful ownership, a direct line of sight to business results, and the chance to shape the systems and strategies that define our long-term success. You'll work alongside a smart, collaborative team and play a foundational role in shaping a category-defining brand at the frontier of AI-powered skincare.

The AML Analyst plays a crucial role in supporting the organization's efforts to detect, prevent, and report money laundering activities and ensure compliance with AML and sanctions regulations. This entry-level position provides an excellent opportunity to develop skills and gain experience in financial crime compliance and AML operations. Responsibilities Evaluate alerts generated by the Firm's transaction monitoring system (Actimize) to identify potentially suspicious transactions and customers who may pose a financial crime risk. Escalate findings in accordance with internal policies and regulatory requirements. Review and analyze real-time OFAC and sanctions-related transaction alerts to ensure compliance with applicable laws and regulations. Due to payment processing times, the AML Analyst will be required to work until 6 pm, 2-3 times per week. Conduct fraud and AML investigations into activities that may trigger a SAR filing requirement. Participate in regular internal and external training sessions to stay current on AML and sanctions regulations, industry best practices, and internal compliance policies. Assist in drafting team trainings, policies and procedures, and presentations. Work closely with other departments, including Compliance, Legal, Technology, and Operations, to ensure a coordinated approach to AML and sanctions compliance efforts. Qualifications Bachelor's Degree required. 1-3 years of experience in reviewing customers and customer transactions for potentially suspicious activity and performing AML-related investigations using automated AML monitoring software. Knowledge of the Bank Secrecy Act (BSA), the USA PATRIOT Act, and FinCEN/SAR. Experience in securities within Private Wealth Management, ideally with a Broker-Dealer or Registered Investment Advisor. SIE Exam and Series 7 are preferred. ACAMS Certification (or willingness to obtain) Skills Actimize Essentials experience is preferred. Excellent research skills, including online research tools (LexisNexis and/or WorldCheck is a plus). Strong writing, analytical, decision making/problem solving and communication skills. Able to multitask and complete projects timely. Strong organizational and time management skills. Experience drafting SAR Narratives. Dexian stands at the forefront of Talent + Technology solutions with a presence spanning more than 70 locations worldwide and a team exceeding 10,000 professionals. As one of the largest technology and professional staffing companies and one of the largest minority-owned staffing companies in the United States, Dexian combines over 30 years of industry expertise with cutting-edge technologies to deliver comprehensive global services and support. Dexian connects the right talent and the right technology with the right organizations to deliver trajectory-changing results that help everyone achieve their ambitions and goals. To learn more, please visit ******************** Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.

Day to Day: We are looking for a Chargebacks & Rebates Analyst to join one of our large generic pharmaceutical organizations in the Florham Park, NJ, area. We do not need an individual who is a Gross-To-Net Subject Matter Expert, but an individual with chargebacks & rebates experience (preferably someone with iContracts experience). This role will focus on managing and enhancing gross-to-net analytics, reporting, and forecasting. The consultant will work cross-functionally with Finance, Sales, and Commercial teams to ensure deductions and accruals are accurate, well-documented, and timely. Gross-to-Net Accruals & Analysis, including supporting the monthly close process by reviewing, validating, and booking GTN accruals (e.g., chargebacks, rebates, admin fees, returns, and Medicaid). *This position is hybrid, 3 days onsite per week in Florham Park, NJ. Must Haves: -Pharmaceutical experience -5-7 years of Financial Analysis, Chargebacks/Rebates experience -Experience with iContracts, Model N or a similar software (preferred, flexible) -Advanced experience with Excel and comfortable presenting information/data through PowerPoint slides