<p>Accountemps is looking for a temporary Financial Analyst to join a fast-growing company. In this position, you will conduct financial modeling on various financial products as well as measure, analyze and forecast performance in conjunction with operating plans. Additional duties include be responsible for advising management on the allocation of resources to best accomplish objectives and preparing reports for management. You will be a part of a dynamic team being a key business partner in areas such as forecasting, performance reporting, and expense management. </p><p>Role & Responsibilities</p><p> We are seeking a Financial Analyst who can support world class strategic and financial planning methods, build long-range operating plans to support business imperatives, develop rolling forecast processes to ensure resources each and every quarter are consumed at maximum effectiveness. You will also help with operationalizing and cultivating a more data-driven planning process and improved monthly and quarterly reporting. In this role, you will be directly involved in the coordination of the various planning cycles (annual planning, quarterly forecasts and monthly outlooks), and be the finance point person working a cross-functional team (Sales leadership, Business Operations, and Sales Operations) while providing strategic analyses and recommendations. You will provide variance analysis of bookings, revenues and expenses, clearly explaining the business reasons for variances and adjusting the outlook models to reflect operational adjustments.</p><p>· Seeking a highly flexible individual comfortable with large amounts of information, and adept at managing expectations </p><p>· Supporting weekly, quarterly and annual Area/Segment level Bookings and P& L forecasting </p><p>· Analyzing performance to date and assessing potential risks and opportunities </p><p>· Understanding and explaining internal and external drivers impacting performance and trending </p><p>· Learning and applying econometric and statistical methods to forecasting </p><p>· Enabling effective Business Intelligence (BI) to provide forward-looking insight and decision support </p><p>· Provide analytical support during New Year readiness/Year End planning cycle </p><p>· Drive the strategy and business planning process</p><p>· Become embedded within the Marketing and Customer Success organizations. Establish trust and quickly understand the key drivers of the business, economic trends and core metrics</p><p>· Work with senior executives on strategic deep dives by developing financial models and insights on topics such as: Retention forecasts, Campaign Planning & Tracking, return on investment of strategic investments, event tracking and execution, strategic resource allocation and prioritization</p><p><br></p>
<p><strong>Data Pipeline Development</strong></p><ul><li>Design, build, and optimize scalable ETL/ELT pipelines to support analytics and operational workflows.</li><li>Ingest structured, semi-structured, and unstructured data from multiple internal and external sources.</li><li>Automate and orchestrate data workflows using tools like Airflow, Azure Data Factory, AWS Glue, or similar.</li></ul><p><strong>Data Architecture & Modeling</strong></p><ul><li>Develop and maintain data models, data marts, and data warehouses (relational, dimensional, and/or cloud-native).</li><li>Implement best practices for data partitioning, performance optimization, and storage management.</li><li>Work with BI developers, data scientists, and analysts to ensure datasets are structured to meet business needs.</li></ul><p><strong>Cloud Engineering & Storage</strong></p><ul><li>Build and maintain cloud data environments (Azure, AWS, GCP), including storage, compute, and security components.</li><li>Deploy and manage scalable data systems such as Snowflake, Databricks, BigQuery, Redshift, or Synapse.</li><li>Optimize cloud data cost, performance, and governance.</li></ul><p><strong>Data Quality & Reliability</strong></p><ul><li>Implement data validation, error handling, and monitoring to ensure accuracy, completeness, and reliability.</li><li>Troubleshoot pipeline failures, performance issues, and data discrepancies.</li><li>Maintain documentation and data lineage for transparency and auditability.</li></ul><p><strong>Collaboration & Cross‑Functional Support</strong></p><ul><li>Partner with product, engineering, and analytics teams to translate business requirements into technical solutions.</li><li>Support self-service analytics initiatives by preparing high-quality datasets and data products.</li><li>Provide technical guidance on data best practices and engineering standards.</li></ul><p><br></p><p><br></p>
<p>Our client in North Phoenix is seeking a Product Owner with a strong background in data analytics, including hands-on expertise with Power BI, Snowflake, and SQL. This individual will play a critical role in defining the vision for data-driven products, gathering and prioritizing requirements, and translating business goals into actionable roadmaps for the development team.</p><p>Key Responsibilities:</p><ul><li>Drive the product vision and strategy for data and analytics solutions, ensuring alignment with business objectives and end-user needs (Based on general knowledge).</li><li>Serve as the primary liaison between stakeholders (business, IT, and end-users) and the technical team to communicate requirements, priorities, and status updates (Based on general knowledge).</li><li>Define, prioritize, and maintain the product backlog, using Agile methodologies such as Scrum or Kanban </li><li>Develop user stories and acceptance criteria for data integrations, reporting dashboards, and analytics workflows </li><li>Leverage Power BI to prototype dashboards, analyze data, and deliver actionable insights to business partners (Based on general knowledge).</li><li>Collaborate with data engineers to ensure effective data modeling, ETL development, and integration within Snowflake and other cloud data platforms (Based on general knowledge).</li><li>Write and optimize SQL queries to extract, transform, and analyze data in support of product initiatives (Based on general knowledge).</li><li>Analyze project performance metrics and define KPIs to measure product success and ROI </li><li>Advocate for best practices in data governance, quality, and security (Based on general knowledge).</li><li>Proactively identify risks, ensure compliance, and drive change management for successful adoption of analytics solutions</li></ul><p><br></p>
<p><strong>Lead Data Architect / Senior Data Modeler</strong></p><p><strong>Location:</strong> Onsite in Burbank, CA (4 days/week, Mon–Thu)</p><p><strong>Team:</strong> Studio Technology – Data Services</p><p><br></p><p><strong>About the Role</strong></p><p>The Studio Technology group at Walt Disney Studios empowers filmmakers, analysts, and business partners with scalable, secure, and innovative data solutions. As part of the Data Services team, you will shape how the Studio builds, organizes, and delivers data — from financial systems to marketing analytics to consumer engagement products.</p><p>We are looking for a Lead Data Architect whose primary passion is data modeling and data architecture, not software architecture. This person lives and breathes semantic models, dimensional design, medallion-layer structuring, and data-as-a-product principles. The ideal candidate is doing this work hands-on today and has done it consistently in recent roles — this is their core craft, not an adjacent skill.</p><p><br></p><p><strong>What You’ll Do (Day-to-Day)</strong></p><p>● Partner with business stakeholders and product managers to understand data requirements and translate them into scalable data strategies and architecture.</p><p>● Design and own semantic models, dimensional models, entity definitions, and medallion-layer data structures (Bronze/Silver/Gold).</p><p>● Determine what gets built where and why, ensuring consistent modeling patterns across projects and data domains.</p><p>● Define and implement data-as-a-product approaches, including domain boundaries, ownership models, SLAs, and documentation standards.</p><p>● Work closely with data engineers to guide how assets should be built, structured, and optimized.</p><p>● Establish and maintain data standards, governance practices, naming conventions, and documentation for modeling and architecture.</p><p>● Provide technical leadership on data modeling best practices across teams, including coaching junior members.</p><p>● Evaluate modern data technologies and recommend tools that improve modeling consistency, performance, and quality.</p><p>● Collaborate with analytics, BI, and data science teams to design models that support reporting, ML/AI workloads, and cross-domain analytics.</p>
<p><strong>Position: Compliance Analyst – Advanced - Contract Role </strong></p><p><strong>Location:</strong> Tampa, FL 33610</p><p><strong>Type:</strong> 100% Onsite (No WFH Supported)</p><p><strong>Schedule:</strong> Monday–Friday (standard business hours; must be punctual and reliable)</p><p><strong>Tentative Pay Rate:</strong> $41 per hour</p><p><strong>Interview Process: 2 Rounds </strong> </p><p><strong>Key Responsibilities</strong></p><p><strong>Control Testing & Compliance Execution</strong></p><ul><li>Perform end‑to‑end compliance and operational risk control testing across various lines of business within CIB market operations.</li><li>Review procedures, assess controls, and determine whether risks are properly mitigated.</li><li>Conduct SOX testing, operational controls testing (reconciliations, fund transfers, payment controls), and validate adherence to SLAs.</li><li>Analyze call box controls, queues, dashboards, and operational monitoring frameworks.</li><li>Design, update, and execute test scripts; prepare supporting artifacts.</li><li>Manage large volumes of controls and tasks within the established framework.</li></ul><p><strong>Risk Identification & Analytical Review</strong></p><ul><li>Dig into details, assess gaps, and challenge assumptions.</li><li>Translate information gathered during calls into clear documentation.</li><li>Identify risk themes, control deficiencies, or process weaknesses across front office, middle office, and back office workflows.</li><li>Apply strong judgment to determine effectiveness of operational processes (e.g., trade lifecycle: booking → confirmation → settlement).</li></ul><p><strong>Communication & Stakeholder Management</strong></p><ul><li>Draft clear, concise, and professional documentation, summaries, and testing results.</li><li>Lead calls with stakeholders; gather information and ensure follow‑through on action items.</li><li>Influence busy or difficult stakeholders and manage competing priorities in a fast‑moving environment.</li><li>Maintain strong executive presence during meetings and cross‑functional discussions.</li></ul><p><strong>Data Analysis & Tools</strong></p><ul><li>Work with large data sets (sometimes 1M+ lines) to identify trends, attributes, or discrepancies.</li><li>Use Excel for analysis; <strong>Alteryx experience is a strong plus</strong> (workflow building or data manipulation).</li></ul>
We are looking for a dedicated Data Scientist to join our team in Louisville, Kentucky. In this role, you will leverage advanced data science techniques to analyze healthcare data, develop predictive models, and deliver actionable insights that enhance patient care and operational efficiency. This position offers the opportunity to make a meaningful impact by addressing health disparities and supporting innovative healthcare initiatives.<br><br>Responsibilities:<br>• Utilize machine learning, predictive analytics, and data mining techniques to uncover patterns and trends in healthcare datasets.<br>• Design and implement predictive models to anticipate patient outcomes and guide proactive clinical interventions.<br>• Create clear and impactful data visualizations to communicate analytical findings to both technical and non-technical audiences.<br>• Collaborate with Data Architects to develop scalable, cloud-based analytic solutions tailored to population health and value-based care.<br>• Establish and monitor KPIs to assess the effectiveness of data-driven strategies in improving patient outcomes and efficiency.<br>• Participate in healthcare projects that focus on chronic disease management and enhancing provider performance.<br>• Stay updated on emerging technologies and methodologies to continuously enhance data science capabilities within the organization.<br>• Ensure compliance with data security and privacy regulations while handling sensitive healthcare information.
<p>We are looking for a skilled Marketing Analyst to join our team on a contract basis in New Jersey. In this role, you will play a crucial part in transforming customer data into actionable insights, enabling strategic decision-making and enhancing customer experiences. This position offers the opportunity to collaborate across departments and leverage your analytical expertise to drive meaningful outcomes.</p><p><br></p><p>Responsibilities:</p><p>• Analyze large datasets from various sources, such as customer surveys, operational metrics, and feedback channels, to uncover insights and trends.</p><p>• Map and evaluate customer journeys to identify friction points and opportunities for improvement.</p><p>• Apply advanced statistical methods and tools, including AI and Natural Language Processing, to conduct sentiment analysis and root cause evaluations.</p><p>• Develop and maintain dashboards and visualizations using tools like Tableau to monitor customer experience metrics.</p><p>• Translate complex data into compelling narratives and presentations that resonate with both technical and non-technical audiences.</p><p>• Partner with cross-functional teams to share findings, develop action plans, and measure the effectiveness of customer-focused initiatives.</p><p>• Advocate for a customer-centric approach by presenting data-driven insights to stakeholders and leadership.</p><p>• Gather and align business requirements to ensure analytical efforts support organizational goals.</p><p><br></p><p>02720-0013386357</p><p><br></p>
We are looking for a Senior Financial Analyst to join a dynamic and growing finance team in Southfield, Michigan. This role offers high visibility within the organization and the opportunity to collaborate with experienced professionals on budgeting, forecasting, financial modeling, and reporting. If you are passionate about advancing your career in financial analysis and contributing to meaningful projects, we encourage you to apply.<br><br>Responsibilities:<br>• Develop and maintain comprehensive budgets and forecasts to support organizational goals.<br>• Conduct detailed financial analysis, including variance analysis, to evaluate performance against key metrics.<br>• Prepare internal financial reports and ensure accuracy in data presentation.<br>• Collaborate with team members to consolidate subsidiary financial statements into unified reports.<br>• Design and implement financial models to support strategic planning and decision-making.<br>• Utilize advanced Excel and data mining techniques to analyze complex datasets.<br>• Provide ad hoc financial analysis to support various departments and leadership.<br>• Identify areas for process improvement and recommend solutions to enhance efficiency.<br>• Communicate findings and insights effectively to stakeholders and executive leadership.<br>• Stay updated on industry trends and apply best practices to financial analysis processes.
We are looking for a skilled Logistics Data Analyst to join our team in Hillside, New Jersey. In this Contract-to-permanent position, you will play a key role in analyzing logistics data, creating actionable insights, and driving process improvements to optimize operations. Ideal candidates are analytical thinkers with expertise in data management tools and a passion for enhancing logistics efficiency.<br><br>Responsibilities:<br>• Collect, clean, and analyze logistics data from multiple sources to uncover trends and areas for improvement.<br>• Develop and maintain dashboards, reports, and presentations to effectively communicate findings to stakeholders.<br>• Implement strategies to enhance logistics processes and efficiency based on data-driven insights.<br>• Define and monitor key performance indicators (KPIs) to measure operational success.<br>• Collaborate with teams across logistics, finance, and IT to support informed decision-making.<br>• Utilize forecasting techniques to predict logistics trends and support strategic planning, including container budgeting based on units.<br>• Manage and optimize databases to ensure data integrity and accessibility.<br>• Perform ad-hoc analyses to address specific projects and initiatives.<br>• Consolidate historical cost and rate information into an organized database for reference.
We are seeking a detail-oriented and analytical Data Analyst to join our team in the Metro Atlanta area. This role is ideal for a detail oriented who enjoys transforming complex data into actionable insights that drive business decisions. You will work cross-functionally with stakeholders across operations, finance, marketing, and technology to support strategic initiatives through data-driven analysis. <br> Key Responsibilities Collect, clean, and analyze large datasets to identify trends and insights Develop dashboards and reports using BI tools (Power BI, Tableau, or similar) Write and optimize SQL queries to extract and manipulate data Perform ad hoc analysis to support business initiatives and leadership requests Translate business requirements into technical data solutions Monitor KPIs and provide actionable recommendations Support data validation, integrity checks, and quality assurance processes Collaborate with engineering and IT teams to improve data pipelines
<p><strong>Sr. Financial Analyst</strong></p><p><br></p><p>Our trusted client is seeking an experienced Senior Financial Analyst for a long-term engagement. You will play a critical role in analyzing financial data, forecasting trends, and driving insights to support decision-making within a global manufacturing environment. This is an excellent opportunity to contribute your expertise in financial modeling and data analytics while collaborating with key stakeholders across multiple divisions. This is a hybrid position based in Farmington Hills, MI.</p><p><br></p><p>The day-to-day responsibilities include:</p><p><br></p><p>• Analyze and forecast current-year purchase price variance globally, utilizing established tools and reporting systems.</p><p>• Collaborate closely with manufacturing sites, commodity purchasing teams, and division management to ensure alignment on financial metrics and reporting.</p><p>• Develop and maintain financial models to evaluate performance and support strategic decision-making.</p><p>• Conduct detailed variance analyses to identify trends and opportunities for cost optimization.</p><p>• Utilize Power BI and Excel to manage and present data effectively, ensuring accurate and actionable insights.</p><p>• Perform inventory valuation and provide insights into purchase order processes to enhance financial reporting.</p><p>• Support data mining efforts to uncover patterns and improve forecasting accuracy.</p><p>• Provide regular updates and presentations to management on key financial indicators and metrics.</p><p>• Work closely with cross-functional teams to improve financial processes and streamline reporting practices.</p>
<p>We are seeking a detail-oriented and analytical Accounting Operations Analyst to support daily cash operations, reconciliations, and financial reporting within a high-volume accounting environment. This role goes beyond transactional processing and focuses on data analysis, reporting accuracy, and continuous process improvement.</p><p><br></p><p>This is an excellent opportunity for an early-career accounting professional who enjoys working with data and wants exposure to operational finance functions.</p><p><br></p><p>Key Responsibilities:</p><p><br></p><ul><li>Monitor and reconcile daily cash activity across multiple bank accounts</li><li>Analyze and post customer payments (ACH, wire, lockbox, credit card)</li><li>Investigate and resolve payment variances and unapplied cash</li><li>Prepare daily and weekly cash reporting dashboards using Excel</li><li>Perform detailed account reconciliations and identify trends or discrepancies</li><li>Support internal controls and audit documentation related to cash processes</li><li>Assist with month-end close including cash rollforwards and supporting schedules</li><li>Recommend process improvements to streamline reconciliation workflows</li></ul><p><br></p>
<p>Our company is seeking a detail-oriented Accounts Receivable (AR) Analyst for a temp-to-hire opportunity. The ideal candidate will demonstrate strong analytical skills, advanced proficiency in Microsoft Excel (including experience with large data sets), and a background in accounts receivable (AR) or accounts payable (AP). This role supports the accounting team in reconciling accounts, analyzing AR transactions, and ensuring accuracy and timeliness across receivables processes.</p><p><br></p><p><strong><u>Job Duties</u></strong></p><ul><li>Analyze and reconcile accounts receivable transactions, ensuring data accuracy and timely follow-up on outstanding items.</li><li>Prepare, review, and distribute AR aging reports; investigate and resolve discrepancies.</li><li>Process high-volume data using advanced Excel functions (pivot tables, VLOOKUP, formulas) to generate financial reports and perform data analysis.</li><li>Support cash application, billing, and collection efforts as needed.</li><li>Collaborate with internal teams and customers to resolve issues and enhance the AR workflow.</li><li>Assist with month-end close activities including account reconciliations and reporting.</li><li>Participate in process improvements and system enhancements across AR functions.</li></ul><p><br></p><p><br></p><p><br></p>
<p>Robert Half is currently partnering with a leading financial services firm in need of an experienced <strong>Senior Accountant</strong> to join their dynamic team for a long-term contract-to-full-time opportunity. As a Senior Accountant, you will be responsible for data mining, account analysis and reconciliations, as well as assisting in the preparation of certain monthly reports. This Senior Accountant opening is located in St. Paul, Minnesota and will offer you great experience and a great company culture. The ideal candidate will have prior experience with GAAP accounting and also regulatory accounting and reporting. If you are an analytical Senior Accountant with proven data mining skills who enjoys the thrill of working in a fast-paced environment, submit your application today!</p><p> </p><p>Major responsibilities:</p><p>- Prepare monthly management reports for key stakeholders.</p><p>- Assist with the statutory reporting process, including the interpretation of state and federal statutes and regulations.</p><p>- Participate in the review of financial data to detect potential accounting and reporting errors.</p><p>- Perform comprehensive data analysis on large data sets utilizing both Excel and various data mining tools.</p><p>- Carry out monthly accounting close procedures and deliverables (journal entries, reconciliations, reports) in compliance with GAAP.</p><p>- Prepare balance sheet reconciliations.</p><p>- Bring a daily dedication to continuously improve the automation of the accounting and reporting process.</p><p>- Analyze financial results (benchmarks, trends, performance metrics)</p><p>- Function with business partners to ensure compliance with procedures and controls, corporate accounting policies, and provide support on special requests</p><p>- Ad-hoc projects as necessary</p>
Qualifications<br>QUALIFICATIONS<br><br>These specifications are general guidelines based on the minimum experience normally considered essential to the satisfactory performance of this position. The requirements listed below are representative of the knowledge, skill and/or ability required to perform the position in a satisfactory manner. Individual abilities may result in some deviation from these guidelines.<br><br>• A self-starting team player who possesses a bachelor’s degree in Information Technology, Engineering Technology, Computer Information Technology, or related field<br>• Minimum of 10 years of technical experience directing data analytics teams (Enterprise Data Architecture, Data Analytics, Data Governance, ALM Teams, Release Management, Support Functions) within a hybrid cloud environment<br>• Minimum of 5 years in banking experience<br>• Background in large scale migrations, hybrid cloud, and application modernization projects<br>• Experience with regulated or complex environments<br>• Familiarity with ITIL, Agile, and modern delivery frameworks<br>• Proven experience delivering enterprise Azure solutions in an IT and Business-facing capacity<br>• Strong understanding of core Azure services and architecture patterns across Compute, networking, identity, storage, containers, and automation<br>• Knowledgeable with Infrastructure as code (ARM, Bicep, Terraform), DevOps pipelines, and CI/CD practices<br>• Strong understanding of Gen AI principles (Microsoft CoPilot), large language models (LLM) and their applications in analytics<br>• Strong knowledge of security, governance, identity (Entra ID), and compliance considerations for Azure<br>• Microsoft Cloud certifications<br>• F
<p>We are on a mission to make our communities safer and more secure. Our cutting-edge public safety product aims to prevent and solve crimes through advanced analytics, visualization, and performance-driven solutions. Join us in creating a state-of-the-art platform that will revolutionize public safety. We’re seeking a Senior Full-Stack Engineer with deep expertise in NodeJS and Angular to drive the development of this cutting-edge product. You’ll play a key role in building highly performant, analytics-driven, and visualization-focused applications that empower decision-makers with actionable insights.</p><p><br></p><p>Key Responsibilities:</p><p>• Optimize for speed, scalability, and security; ensure compliance with standards.</p><p>• Build reusable components and libraries; lead code reviews and testing.</p><p>• Design and develop scalable and high-performance applications using NodeJS for backend and Angular for front-end development.</p><p>• Architect solutions with a focus on data analytics, visualizations, and real-time performance metrics that aid in crime prevention and resolution.</p><p>• Collaborate with cross-functional teams to ensure seamless integration of frontend and backend services, ensuring a fluid user experience for public safety officials and community users.</p><p>• Optimize applications for maximum speed, scalability, and security, ensuring compliance with best practices and regulatory standards.</p><p>• Develop reusable components and libraries that can be leveraged across multiple applications.</p><p>• Lead efforts in code reviews, testing, and continuous integration to ensure robust, reliable, and maintainable codebases.</p>
<p>Our company is seeking an Accounts Receivable Analyst for a temp-to-hire opportunity. The ideal candidate will have strong experience managing large data sets in MS Excel and possess a solid educational foundation in accounting, finance, business, or a related field. This position offers recent graduates who have completed relevant internships the chance to transition into a full-time role. Please note we are not considering candidates with master’s degrees for this opportunity.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Reconcile AR accounts and manage high-volume billing and collections processes.</li><li>Track outstanding accounts, resolve discrepancies, and conduct account research.</li><li>Analyze large and complex data sets using advanced Excel functions (pivot tables, VLOOKUP, formulas).</li><li>Generate periodic reports to support finance leadership.</li><li>Collaborate with internal teams and external clients on AR-related issues.</li><li>Support process improvements for AR efficiency and accuracy.</li></ul><p><br></p>
<p>Position Overview</p><p>We are seeking a highly skilled Data Scientist with deep expertise in Artificial Intelligence, Natural Language Processing (NLP), Computer Vision (CV), and Generative AI. This role is ideal for an innovative problem‑solver who thrives in a fast‑paced environment and is passionate about developing advanced AI/ML models that drive meaningful business value.</p><p>You will design, train, and deploy cutting‑edge AI models—including large language models (LLMs) and multi‑agent systems—turning complex data into scalable, high‑impact solutions.</p><p><br></p><p>Key Responsibilities</p><ul><li>Develop, train, and optimize machine learning and deep learning models</li><li>Build advanced AI solutions leveraging LLMs, multi‑agent systems, fine‑tuning methods, and inference optimization</li><li>Translate complex data science methodologies into clear, actionable insights for business stakeholders</li><li>Collaborate with cross‑functional teams to ensure AI solutions align with business needs</li><li>Create compelling presentations, dashboards, and data stories for non‑technical audiences</li><li>Contribute to innovation initiatives involving NLP, CV, Generative AI, and predictive analytics</li></ul>
<p>Design and manage data pipelines, ensuring optimized performance for analytics and reporting. Support BI tools to provide actionable insights for decision-making.</p>
<p>Robert Half is partnering with our client in the search for a <strong>Marketing Advertising Strategist </strong>to support audience management strategy and digital media enablement initiatives. Our client is a large, highly regulated enterprise organization operating at scale, with a strong focus on data-driven marketing and customer experience across digital channels.</p><p><br></p><p><strong><em>Marketing Advertising Strategist – Audience Management Strategy & Enablement</em></strong></p><p><strong>Duration:</strong> 6 months (Paternity Leave Coverage)</p><p><strong>Pay Rate:</strong> $52–56/hour (W2)</p><p><strong>Location: </strong>100% Remote (U.S. – EST or CST hours required)</p><p><strong>Schedule:</strong> 40 hours/week</p><p><br></p><p>This role sits within the Digital Automation Advertising team and supports audience-first marketing initiatives across programmatic, social, acquisition, engagement, upsell, and product launch campaigns. The Marketing Strategist will act as a business-facing partner, helping determine how customer and prospect data is used for activation while ensuring compliance, operational rigor, and campaign effectiveness.</p><p><br></p><p><strong>Position Overview:</strong></p><p>The Marketing Strategist will support audience strategy, enablement, and governance across paid media campaigns. This role blends strategic decision-making with hands-on support, partnering with marketing, analytics, technology, and compliance teams to guide audience activation. While this role will not directly build audiences, it will oversee execution in partnership with an offshore team.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Partner with marketing, analytics, and Lines of Business to define audience strategies for digital activation platforms</li><li>Build and evaluate audience canvases, advising on data selection and customer profiles aligned to campaign goals</li><li>Support programmatic, social, acquisition, engagement, upsell, and product launch campaigns with audience guidance</li><li>Brief audience strategies and assess omnichannel audience effectiveness and performance</li><li>Translate data and insights into actionable recommendations to inform future campaigns</li><li>Coordinate with an offshore team responsible for audience build and BAU execution</li><li>Ensure audience strategies align with data privacy, advertising compliance, and regulatory requirements</li><li>Create clear documentation, playbooks, and executive-ready presentations</li><li>Track workstreams and deliverables using Atlassian tools (JIRA, Confluence)</li><li>Communicate effectively with senior stakeholders and executive leadership</li></ul>
<p>Our company is seeking a detail-oriented Financial Analyst to join our dynamic team. As a Financial Analyst, you will play a critical role in interpreting financial data, monitoring performance, and providing key insights to drive strategic business decisions.</p><p>Responsibilities:</p><ul><li>Analyze financial statements, budgets, and forecasts to identify trends and opportunities.</li><li>Prepare reports and presentations for leadership on financial metrics and business performance.</li><li>Support budgeting and planning processes with data-driven recommendations.</li><li>Conduct variance analysis and recommend corrective actions.</li><li>Collaborate cross-functionally to gather relevant financial and operational data.</li><li>Utilize software tools such as Microsoft D365, SAP, Oracle NetSuite, PowerBI, SQL, Quickbooks, and Workday to manage and visualize data.</li><li>Maintain and improve internal accounting controls and audit processes </li></ul><p><br></p>
<p>Our client is seeking a detail-oriented <strong>Business Analytics Specialist</strong> to support enterprise reporting, dashboard creation, and operational performance insights. This role is responsible for turning complex business data into clear, actionable information that helps leadership understand trends, identify opportunities, and improve performance across multiple locations. This position is onsite in Las Vegas, NV, Monday-Friday.</p><p><br></p><ul><li>Develop and maintain dashboards tracking core operating metrics such as sales, margin, labor productivity, guest counts, and site-level profitability.</li><li>Analyze KPI trends and identify drivers behind variances versus budget and forecast.</li><li>Support recurring and ad hoc reporting using standardized data models.</li><li>Manage and validate data flows from site-level systems into centralized reporting datasets.</li><li>Perform basic cohort and trend analysis to evaluate pricing, product, and operational initiatives.</li><li>Present clear, data-driven insights to Operations and leadership teams during regular business reviews.</li><li>Maintain data accuracy and consistency across locations and reporting structures.</li><li>Support business users in understanding and utilizing dashboards effectively.</li></ul>
We are looking for an experienced AI/Data Governance Analyst to lead and implement enterprise-wide data management strategies. This role requires strong leadership and technical expertise to ensure data governance frameworks, data quality standards, and metadata practices are effectively deployed and maintained. As a vital part of the team, you will collaborate closely with business and technology stakeholders to drive data compliance and deliver trusted, high-quality data solutions. This is a long-term contract position based in New York, New York.<br><br>Responsibilities:<br>• Develop and execute comprehensive data management strategies, including governance, quality, and metadata initiatives.<br>• Establish and refine policies, standards, and frameworks to support data governance across the organization.<br>• Lead the implementation of data quality management processes, including rule definition, monitoring, and issue resolution.<br>• Partner with cross-functional teams to align data management efforts with organizational goals.<br>• Select and optimize tools and platforms for data governance and quality management.<br>• Serve as a thought leader to influence executives and stakeholders on prioritizing data as a strategic asset.<br>• Mentor and guide less experienced team members and data stewards to enhance team capabilities.<br>• Monitor and evaluate key performance indicators (KPIs) to measure the effectiveness of governance strategies and data quality.<br>• Ensure compliance with data regulations and support operational requirements within the business context.<br>• Drive adoption and continuous improvement of master data management practices.
We are looking for an experienced and visionary Director of Data and AI to lead the strategic development and implementation of data management, artificial intelligence, and enterprise architecture initiatives. This role is pivotal in driving innovation, operational excellence, and competitive advantage through cutting-edge technologies and scalable solutions. Based in Atlanta, Georgia, the position requires collaboration with senior leaders to integrate data and AI into the organization's core strategy, ensuring measurable business outcomes.<br><br>Responsibilities:<br>• Define and execute a comprehensive strategy for data, AI, and enterprise architecture aligned with organizational goals.<br>• Collaborate with senior leadership to embed data-driven decision-making and AI solutions into business operations.<br>• Establish governance frameworks and standards for data management and architecture to ensure security, scalability, and reliability.<br>• Lead the development and modernization of enterprise architecture to support integration and cloud transformation.<br>• Oversee the deployment of AI technologies to enhance business processes, customer experiences, and workforce productivity.<br>• Manage enterprise data platforms and analytics to ensure data integrity and accessibility across the organization.<br>• Identify opportunities for leveraging data insights to improve performance and deliver competitive advantages.<br>• Evaluate emerging technologies and build external partnerships to stay ahead in innovation.<br>• Build and mentor a high-performing team focused on innovation, delivery, and continuous improvement.<br>• Foster a collaborative and accountable culture that promotes curiosity and drives transformation.
<p>We are seeking a highly skilled Data Engineer to design, build, and manage our data infrastructure. The ideal candidate is an expert in writing complex SQL queries, designing efficient database schemas, and developing ETL/ELT pipelines. This role ensures data accuracy, accessibility, and performance optimization to support business intelligence, analytics, and reporting initiatives.</p><p><br></p><p><strong><em><u>Key Responsibilities</u></em></strong></p><p><br></p><p><strong>Database Design & Management</strong></p><ul><li>Design, develop, and maintain relational databases, including SQL Server, PostgreSQL, and Oracle, as well as cloud-based data warehouses.</li></ul><p><strong>Strategic SQL & Data Engineering</strong></p><ul><li>Develop advanced, optimized SQL queries, stored procedures, and functions to process and analyze large, complex datasets and deliver actionable business insights.</li></ul><p><strong>Data Pipeline Automation & Orchestration</strong></p><ul><li>Build, automate, and orchestrate ETL/ELT workflows using SQL, Python, and cloud-native tools to integrate and transform data from diverse, distributed sources.</li></ul><p><strong>Performance Optimization</strong></p><ul><li>Tune SQL queries and optimize database schemas through indexing, partitioning, and normalization to improve data retrieval and processing performance.</li></ul><p><strong>Data Integrity & Security</strong></p><ul><li>Ensure data quality, consistency, and integrity across systems.</li><li>Implement data masking, encryption, and role-based access control (RBAC).</li></ul><p><strong>Documentation</strong></p><ul><li>Maintain comprehensive technical documentation, including database schemas, data dictionaries, and ETL workflows.</li></ul>
