Data Analyst jobs at Paycom

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

Sanford Rose JFSPartners is currently looking for a Data Quality Analyst for a full-time opportunity in Orlando. Qualified candidates will participate in the full data quality lifecycle from requirement gathering through ongoing support. The candidate selected for this role will develop technical components that meet the business/functional requirements or from logged data incidents. RESPONSIBILITIES: Develop technical specifications that demonstrate how data quality will be preserved/enforced. Work with the BA team to generate data to power quality dashboards, which allow both data providers and data consumers to monitor data quality. Contribute to business/technical definitions of data objects within the data catalogue. Serve as an SME for multiple data domains. Assist business users in the selection, understanding and use of data. Perform UAT on data sets as part of data ingestion, egress, transformation and rule execution. REQUIRED TECHNICAL SKILLS: Strong understanding of data structures, data types, and data transformation. Ability to perform complex data mappings, workflows and sessions. Experience with SQL, and other data transformation/analytics tools such as Informatica, Talend, or Alteryx. Expertise in reading, analyzing and debugging SQL. Experience or willingness to learn data profiling/quality tools such as Collibra, Ataccama, Informatica or OEDQ. At Sanford Rose Associates - JFSPartners, we specialize in Finance & Accounting, Legal, and Information Technology recruitment, dedicated to helping professionals like you discover the perfect career opportunities. With a track record of assisting thousands of professionals nationwide, we are prepared to leverage our expertise on your behalf. Partnering with us means gaining access to serious candidates, minimizing hiring errors, and ensuring top-tier hires, all while navigating the hiring process with confidence. We understand the significance of finding the ideal role and aligning with an organization that shares your values.

12 Month Contract-to-Hire Columbus, OH $28/hr Our healthcare services client is seeking a driven entry-level Data Analyst to join their Financial Planning and Analysis team. In this role, you will support key financial analytics initiatives that guide decision-making for internal business partners. This is an excellent opportunity to gain exposure to senior leadership, strengthen your technical toolkit, and accelerate your career through our Elevate Program, which offers structured training and development. Qualifications: Bachelor's degree in Data Analytics, MIS, CIS, or a related field Hands-on SQL experience Hands-on Python experience Experience with data querying and analysis Proficiency with Tableau or other data visualization tools Strong written and verbal communication skills Job Responsibilities: Support financial planning and analysis activities alongside the analytics team Attend and contribute to project intake and requirements meetings Analyze data to identify trends and deliver actionable insights to partners Communicate findings with business stakeholders, senior leadership, and analytics teams Collaborate closely with senior Data Analysts on high-impact projects Why Should You Apply? Receive mentorship and support from experienced team members Access tailored technical training and professional growth through our Elevate Program Build your career with a Fortune 15 organization known for investing in early-career talent Eight Eleven Group provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, national origin, age, sex, citizenship, disability, genetic information, gender, sexual orientation, gender identity, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state, and local laws.

Job Title: Data Governance Analyst Duration:12+ Months Must-Have skills for the role: Collibra , Snowflake , Tableau, Data modeling Data Governance and Program Management Nice-to-have skills: Analytic tools like SAS, Splunk reporting , Cloud is a plus SAFe Agile Job description: Resource should have 5+ years strong data warhouse, data lake and SAFE Agile Environments. Experience on with Collibra , Complex SQL , Snowflake/Redshift, Tableau , Data Modeling(Visio,Erwin) Driving Large Scale Migration project ,Data Migration and Integration in cloud Applications Work independently to develop analytic applications and hands on experience with analytic/reporting tools like sas , Splunk.. Well versed with SAFe Scrum process and Applying SAFe principles. Experience in handling teams building scalable ETL/ELT pipelines integrating into cloud applications/Snowflake Familiarity with data modeling, data warehousing concepts, and BI tools Proactively ensures that team tasks and related activities are completed on time and error-free Participate in the agile development process including backlog grooming, coding, code reviews, testing and deployment Experience in Handling DWH & Cloud Agile teams Below is a Plus/Good to have: Prior experience in a fast-paced Scaled Agile environment. Jira Align,Confluence Program management, Delivery Governance & Enterprise Data Quality Management. Experience with Data Analytics, SAS,Tableau ,Reporting Education needed for the role: Bachelors of Engineering or Equivalent

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

Technical Data / Business Analyst - Hybrid in NYC (3 Days Onsite) Contract Role via Russell Tobin Pay: $75-$90/hour (W2), depending on experience Second-round interview is onsite - no exceptions Russell Tobin is partnering with a leading global financial services firm to hire an experienced Technical Data / Business Analyst for a contract opportunity based in New York City. This role sits within a high-visibility Risk & Compliance technology group and offers a chance to work with top-tier professionals in a collaborative, innovation-driven environment. What We Offer Opportunity to work with leading professionals in a firm that values both individual contribution and teamwork Modern, collaboration-focused office environment Flexible hybrid schedule (3 days onsite per week) Challenging, rewarding work with room for continuous learning and advancement A technology-forward environment focused on solving complex business problems Team Overview You will join the Non-Financial Risk Technology (NFRT) organization, which provides operational controls, surveillance capabilities, and technology solutions to strengthen enterprise resilience. The team supports critical business functions including business continuity, records management, due diligence, and compliance monitoring. This specific role is aligned with the Wealth Management Monitoring Department, supporting Risk & Compliance teams with tools and applications used to monitor Financial Advisor adherence to firm policies. Position Overview The Technical Data / Business Analyst will play a key role in business analysis, project management, and data analysis efforts related to model development, requirements documentation, UAT, and product support. The ideal candidate is analytical, detail-oriented, proactive, and thrives in a fast-paced, team-oriented environment. Key Responsibilities Elicit, analyze, and create business requirements documentation (Agile user stories, proof-of-concept models, supporting documentation) Analyze datasets to identify gaps and coordinate with cross-functional teams to resolve issues Work closely with development teams to ensure technical solutions meet business expectations Conduct Behavior-Driven Development (BDD), and write/execute User Acceptance Testing (UAT) plans Create and manage project plans; escalate risks and delays as needed Lead cross-functional initiatives, manage stakeholder communication, and oversee project risks Provide mentorship to junior team members Required Qualifications Bachelor's degree in Computer Science or related field 8+ years of experience as a Business Analyst in global organizations Strong Data Analysis skills with hands-on SQL and relational database experience Solid understanding of software development lifecycle (SDLC) and Agile methodologies Excellent written and verbal communication skills Ability to collaborate across global IT and business teams Self-driven, creative problem solver capable of owning deliverables Comfortable in fast-paced, high-pressure environments Strong customer service orientation and ability to navigate complex situations Background in trade lifecycles and asset classes (Equities, Fixed Income, Options, Futures) Knowledge of compliance surveillance platforms such as Actimize, MANTAS, SunGard, SMARTS, and exposure to models (wash trades, spoofing, insider trading, etc.) Desired Skills Experience with IT Project Management and SDLC (Waterfall/Agile) Experience with Behavior-Driven Development (BDD) Background supporting medium-to-large scale development projects Familiarity with trades data, positions data, and reference data About the Client Our client is a leading global financial services institution and a market leader in investment banking, securities, investment management, and wealth management. They are committed to fostering an inclusive workplace where individuals from diverse backgrounds can thrive and grow. Russell Tobin / Pride Global offers eligible employees comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance, and hospital indemnity), a 401(k) retirement savings plan, life & disability insurance, an employee assistance program, identity theft protection, legal support, auto and home insurance, pet insurance, and employee discounts with select vendors.

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.

We are looking for an AWS Data Analyst to collecting, cleaning, and interpreting large datasets to find patterns and insights, then communicating these findings to stakeholders through reports and dashboards to drive business decisions 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. 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.

Tremendous opportunity for a GIS Analyst to join a stable company making big strides in their industry. This is focused on the engineering side of the business! You will be able to gain experience in this critical technical role in the creation and support of critical feature data. You will answer ongoing questions and inquiries, generate new geospatial data, and provide flexible GIS service. Regular inventory analysis showing counts, mileage, and measurements of the system is anticipated. You will also directly perform geospatial data preparation and assemblage tasks.This technical role requires that you have a broad geographic understanding, the ability to correctly interpret geometrics and feature placement information received from the field, and a general understanding of the installation and maintenance activities undertaken by the Engineering Department sub-groups. Responsibilities: Perform and be responsible for the creation, modification, and quality control of essential geospatial infrastructure data for company wide use for a variety of critical applications, including the analysis and assembly of geospatial data utilized to assist PTC compliance. Utilize their practical knowledge to ensure field generated spatial data from various sources is properly converted into a functioning theoretical digital network compliant with the database and data model standards established for systems. Authorized to perform quality control checks, accept, and promote geospatial data change sets that are produced by the Geospatial Data Group's CADD technicians. Utilize a variety of GIS software tools to perform topology corrections and make geometric modification as part of the data quality review and acceptance process. Called upon to work with other involved groups and departments in a collaborative manner to fully utilize the technical skill sets of the Geospatial Data Group toward the Enterprise GIS goals. Assist the Sr. Geospatial Data Analyst with assorted GIS responsibilities as required per business needs. Leverage the company's investment in geospatial technology to generate value and identify cost savings using GIS technology. This is a 12 month contract position working out of our office in Midtown Atlanta 4 Days a week with 1 day remote. Our new office is state of the art with many amenities (gym, coffee shop, cafeteria, etc.) and paid parking. This is an excellent opportunity to work within an enterprise environment and an outstanding work-life balance. REQUIRED: 3+ years experience working with Data in a GIS environment Strong Communication skills, presenting and working across org. departments Experience with ESRI Suite (ArcGIS) Experience with data editing and spatial analysis Bachelor degree in GIS or similar (computer science, SW engineering, IT, etc.) PREFERRED: TFS Esri JavaScript API ArcGIS online and ArcGIS pro Experience with relational databases Experience with database queries (basic queries) SQL Must be authorized to work in the U.S./ Sponsorships are not available

Ready to build the future with AI? At Genpact, we don't just keep up with technology-we set the pace. AI and digital innovation are redefining industries, and we're leading the charge. Genpact's AI Gigafactory, our industry-first accelerator, is an example of how we're scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies' most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what's possible, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Inviting applications for the role of Financial Data Analyst at Alpharetta , GA . Role : Financial Data Analyst Location : Alpharetta , GA 30005 / 3 days from Office Hiring Type: Fulltime with Genpact + Benefits Responsibilities Define and execute the product roadmap for AI tooling and data integration initiatives, driving products from concept to launch in a fast-paced, Agile environment. Translate business needs and product strategy into detailed requirements and user stories. Collaborate with engineering, data, and AI/ML teams to design and implement data connectors that enable seamless access to internal and external financial datasets. Partner with data engineering teams to ensure reliable data ingestion, transformation, and availability for analytics and AI models. Evaluate and work to onboard new data sources, ensuring accuracy, consistency, and completeness of fundamental and financial data. Continuously assess opportunities to enhance data coverage, connectivity, and usability within AI and analytics platforms. Monitor and analyze product performance post-launch to drive ongoing optimization and inform future investments. Facilitate alignment across stakeholders, including engineering, research, analytics, and business partners, ensuring clear communication and prioritization. Minimum qualifications Bachelor's degree in Computer Science, Finance, or related discipline. MBA/Master's Degree desired. 5+ years of experience in a similar role Strong understanding of fundamental and financial datasets, including company financials, market data, and research data. Proven experience in data integration, particularly using APIs, data connectors, or ETL frameworks to enable AI or analytics use cases. Familiarity with AI/ML data pipelines, model lifecycle, and related tooling. Experience working with cross-functional teams in an Agile environment. Strong analytical, problem-solving, and communication skills with the ability to translate complex concepts into actionable insights. Prior experience in financial services, investment banking, or research domains. Excellent organizational and stakeholder management abilities with a track record of delivering data-driven products. Preferred qualifications Deep understanding of Python, SQL, or similar scripting languages Knowledge of cloud data platforms (AWS, GCP, or Azure) and modern data architectures (data lakes, warehouses, streaming) Familiarity with AI/ML platforms Understanding of data governance, metadata management, and data security best practices in financial environments. Experience with API standards (REST, GraphQL) and data integration frameworks. Demonstrated ability to partner with engineering and data science teams to operationalize AI initiatives. Why join Genpact? • Lead AI-first transformation - Build and scale AI solutions that redefine industries • Make an impact - Drive change for global enterprises and solve business challenges that matter • Accelerate your career-Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills • Grow with the best - Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace • Committed to ethical AI - Work in an environment where governance, transparency, and security are at the core of everything webuild • Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let's build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

We're looking for a detail-oriented Junior Data Analyst to support survey administration and data management for university-wide projects. This role involves working with institutional databases, preparing reports, and ensuring data accuracy to help drive informed decisions. Key Responsibilities Administer and process internal and external surveys. Collect, clean, and organize data from student, faculty, and staff records. Maintain accurate logs of reports and deadlines. Prepare dashboards and assist with KPI tracking. Collaborate with departments to ensure data consistency and integrity. Support the development of forms, questionnaires, and institutional reports. Assist with special projects and events as needed. Required Skills Strong analytical and data management skills. Proficiency in databases, spreadsheets, and reporting tools. Familiarity with data visualization best practices. Ability to work independently and meet deadlines. Excellent communication and organizational skills. High attention to detail and confidentiality. Preferred Experience Knowledge of survey administration and data collection techniques. Experience with educational software (e.g., Jenzabar) is a plus. Bachelor's degree in a related field.

Trident Consulting is seeking a "Data Analyst" for one of our clients in “Rosemead, CA - Hybrid" A global leader in business and technology services. Role: Data analyst Duration: Contract Rate: $18-23/Hr Day-to-Day Responsibilities/Workload Data Collection & Integration: Gather and consolidate data from diverse sources (SAP, Success Factors), including databases, spreadsheets, and other systems, ensuring accuracy and completeness. Data Analysis & Reporting: Utilize Power Query and other analytical tools to create clear, insightful reports and summaries that effectively communicate findings to non-technical stakeholders. Client Support & Issue Resolution: Respond to client inquiries through a shared inbox, providing timely and professional assistance. Troubleshoot and resolve issues related to payroll and expense data with attention to detail and accuracy. Process Improvement: Identify opportunities to streamline data workflows and enhance reporting efficiency through automation and best practices. Required Skills/Attributes Advanced Excel, Customer Service Skills, team player. Desired Skills/Attributes SAP/ Successful Knowledge; Power Query About Trident: Trident Consulting is a premier IT staffing firm providing high-impact workforce solutions to Fortune 500 and mid-market clients. Since 2005, we've specialized in sourcing elite technology and engineering talent for contract, direct hire, and managed services roles. Our expertise spans cloud, AI/ML, cybersecurity, and data analytics, supported by a 3M+ candidate database and a 78% fill ratio. With a highly engaged leadership team and a reputation for delivering hard-to-fill, niche talent, we help organizations build agile, high-performing teams that drive innovation and business success. Some of our recent awards include: Trailblazer Women Award 2025 by Consulate General of India in San Francisco. Ranked as the #1 Women Owned Business Enterprise in the large category by ITServe. Received the TechServe Excellence award. Consistently ranked in the Inc. 5000 list of fastest-growing private companies in America. Recognized in the SF Business Times as one of the Largest Bay Area BIPOC/Minority-Owned Businesses in 2022.

Addison Group is working with a logistics company in search for a Business Data Analyst to join their team! This is a contract to hire role and 5 days onsite in Tampa FL. Please apply to be considered. The Business Data Analyst will play a crucial role in supporting our logistics operations, reporting to the Director of IT. We are seeking a candidate that can build and maintain reporting tools (such as dashboards) to track data, define KPIs, generate reports, and build predictive models. This analyst is critical in assessing information technology systems, collaborating with stakeholders and implementing innovative solutions through the analysis of IT systems. The successful candidate will be strategic, analytical, and demonstrate the ability to perform routine business analysis using various techniques, e.g. statistical analysis, explanatory/predictive modeling, and data mining. Responsibilities: Support Operations with analytics and data reporting to deeply understand our customers and improve operational efficiency. Evaluate and recommend IT solutions, including applications such as e-courier and Transportation Management Systems (TMS) Monitor existing metrics, develop and propose new metrics, and identify new, actionable risk signals. Support implementation of and work within a PowerBI environment to build, deploy and automate various analyses and dashboard reports. Organize large data sets and be able to summarize key findings to manager and team in daily/weekly operational reports; database characteristics (tables, fields, valid values) for broader team understanding and decision making. Provides recommendations for decisions affecting business operations and strategic initiatives. Conduct analysis from existing databases. Gather and analyze data for potential business expansion; Identify specific business opportunities and ways to capitalize on them. Influence stakeholders to support business projects Test business processes and recommend improvements Convert roadmap features into smaller user stories Write clear and well-structured business requirements and documentation Identify automation opportunities Create reports, dashboards and visualizations to help others understand business performance Analyze process issues and bottlenecks to make improvements Develop and maintain reporting tools Perform data discovery, analysis and modeling Collaborate with product managers on roadmap planning and workforce optimization Requirements: Experience with data analysis and modeling using Excel (2 years) and SQL (1 year); proficiency in SQL required. Excellent communication (written and oral) and interpersonal skills Bachelor's degree in computer science, Information Systems, Business Administration, or related field. Experience in logistics last mile delivery and transportation. Minimum of 5-7 years of experience as a Business Analyst in the IT industry. Entrepreneurial spirit and comfort navigating fast-changing, fast-paced environments. Excellent organizational, analytical and influencing skills. Benefits: Medical, Dental, Vision, 401(k)

Motion recruitment has partnered with a retail ecommerce client and is seeking a Data Analyst specialized in Machine Learning and Artificial Intelligence. About the Role This role involves working closely with data to support the Machine Learning pipeline, requiring a strong foundation in statistical techniques and data analysis. Location: Onsite Duration: 12 months with possible extension Type: W-2 Contract Only - C2C, third-party, or sponsorship arrangements are not supported at this time. Interview: Onsite Local candidates are encouraged to apply as the job requires an onsite interview. Responsibilities Research, prototype, and build analysis and visualizations for our Machine Learning pipeline. Stay up to date with emerging technology and learn new technologies/libraries/frameworks. Learn and partner with peers across multiple disciplines, such as computer vision, machine learning, and systems design. Deliver on time with a high bar on quality of research, innovation, and engineering. Required Skills Strong knowledge of statistical techniques and advanced mathematics. 3+ years of data analyst/engineering/science within the Databricks ecosystem (Azure preferred). 5+ years of experience demonstrating the use of statistical techniques to analyze, segment and visualize data - specifically around experimental design, KPI calculation, and A/B testing. 4+ years of experience in manipulating big data using Python, PySpark, or SQL. Expert experience with data visualization tools in Python, PowerBI, etc. Preferred Skills Master's Degree or higher in Computer Science/Engineering/Math, or relevant experience. Experience working with Machine Learning models - evaluation, observability, and performance monitoring. Experience working closely with a business team to determine primary KPIs on an ambiguous problem. Equal Opportunity Statement We are committed to diversity and inclusivity in our hiring practices.

Axtria is a leading global provider of cloud software and data analytics tailored for the Life Sciences industry. Since our inception in 2010, we have pioneered technology-driven solutions to revolutionize the commercialization journey, driving sales growth, and enhancing patient healthcare outcomes. Committed to impacting millions of lives positively, our innovative platforms deploy cutting-edge Artificial Intelligence and Machine Learning technologies. With a presence in over 30 countries, Axtria is a key player in delivering commercial solutions to the Life Sciences sector, consistently recognized for our growth and technological advancements. Job Description: We are looking for a Project Lead for our Decision Science practice. Success in this position requires managing consulting projects/engagements delivering Brand Analytics, Real World Data (RWD) Analytics, Commercial Analytics, Marketing Analytics, and Market Access Analytics solutions. Candidates will be expected to have familiarity with: Patient analytics using Real World Data (RWD) sources such as Claims data, EHR/EMR data, lab/diagnostic testing data, etc. Predictive modeling using Real World Data Patient and HCP segmentation Campaign effectiveness, promotion response modeling, marketing mix optimization Marketing analytics incl. digital marketing Required skills and experience: Overall, 4-8 years of relevant work experience and 2+ years of US local experience in pharma analytics Knowledge of the Biopharmaceutical domain. Prior experience in analytics in therapeutic areas of Oncology, Inflammation, Cardio and Bone will be preferred Exposure to syndicated data sets including Claims, EMR/EHR data and exposure to/experience working with large data sets. Strong quantitative and analytical skills, including sound knowledge of statistical concepts and predictive modeling/machine learning. Demonstrated ability to frame and scope business problems, design solutions, and deliver results. Excellent spoken and written communication skills, including superior visualization, storyboarding, and presentation skills. Ability to communicate actionable analytical findings to a technical or non-technical audience in clear and concise language. Relevant expertise in using analytical tools such as R/Python, Alteryx, Dataiku etc. and ability to quickly master new analytics tools/software as needed. Ability to lead project teams and own project delivery. Logistics and Location: U.S. Citizens and those authorized to work in the U.S. are encouraged to apply. The position is based out of Thousand Oaks and the candidate needs to be at the client site 3-5 days per week Axtria is an EEO/AA employer M/F/D/V. We offer attractive performance-based compensation packages including salary and bonus. Comprehensive benefits are available including health insurance, flexible spending accounts, and 401k with company match. Immigration sponsorship will be considered. Pay Transparency Laws Salary range or hourly pay range for the position The salary range for this position is $83,200 to $129,738 annually. The actual salary will vary based on applicant's education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on applicant's geographic location. The salary range reflected is based on a primary work location of Thousand Oaks, CA. The actual salary may vary for applicants in a different geographic location.

Our client is seeking a detail-oriented Data Integration & Material Mapping Specialist to support a critical acquisition integration project. This role involves transforming incoming material, product, and PDF-based information into company-standard templates and terminology. If you excel at highly tactical, structured work and love ensuring data accuracy, this is an ideal short-term assignment. Duration: 2-3 Months (Early January Start) Schedule: 3 Days Onsite per Week (Ewing, NJ) Commitment: Must be able to commit to the full contract with no vacations or breaks Key Responsibilities Prepare and organize data and information from an acquisition for upload into company systems Perform material description enrichment and transformation into company-standard terminology Map PDF data into internal load templates with high accuracy Execute structured, rules-based data transformation tasks Ensure all information follows predefined data standards and formatting guidelines Perform precise data entry using templates (Excel-focused; “glorified Excel”) Support overall acquisition integration tasks and documentation Required Skills & Experience Strong attention to detail and ability to follow strict data rules Excellent Excel and MS Office skills Experience working with templates and high-volume data entry Ability to interpret PDFs and accurately map data into company formats Prior material data experience is a significant plus Comfortable with tactical, structured workloads

Marketing Data & Measurement Business Analyst Contract Type: W2 Contractor Pay rate: $60-70 hourly Our client is seeking an experienced contractor to support a new marketing measurement product currently in adoption. This role sits between data analytics and business/product teams-leaning more toward the business side-and requires someone who is quantitative, consultative, and able to translate analytics into actionable marketing decisions. The ideal candidate has an analytics foundation, strong MMM/MTA experience, and comfort operating in a maturing team with ambiguity. This role supports marketing stakeholders driving budget allocation and subscriber growth. Responsibilities Lead discovery sessions to capture business requirements and translate them into use cases, success metrics, and BRDs. Facilitate stakeholder engagement across marketing, analytics, finance, and product teams. Serve as a subject-matter liaison on MMM/MTA concepts, capabilities, constraints, and tradeoffs. Partner with analytics and TransUnion teams to align model inputs, assumptions, and outputs to business questions. Define measurement frameworks, test designs, and KPI structures for channel and campaign decision-making. Build and manage the MMM/MTA roadmap, milestones, dependencies, and delivery timelines. Coordinate data readiness, sources, cadences, and ownership across internal teams and TransUnion. Establish operating cadences (standups, stakeholder reviews, release checkpoints). Document high-level processes, data dictionaries, and change-management steps; ensure governance and privacy compliance. Support adoption and usage of the new measurement product across marketing teams. Required Qualifications 5+ years of experience in marketing analytics, measurement, business analysis, or product-oriented roles. Hands-on MMM/MTA experience or experience implementing or transitioning into these models. Strong ability to translate analytics into business decisions for non-technical audiences. Proven experience running requirement-gathering sessions and building measurement plans/roadmaps. Background starting in data analytics and growing into business or product-focused responsibilities. Strong project/program management skills (roadmapping, milestones, RAID tracking, stakeholder communication). Experience partnering across marketing, media, analytics, finance, and data engineering. Preferred Qualifications Experience with TransUnion's MMM/MTA solution. Product management or product owner experience. Experience with experimentation (geo tests, incrementality, lift studies). Exposure to SQL, Python, or similar data tooling. Experience with Agile/Scrum and tools such as Jira or Asana. EEO Statement: Eight Eleven Group provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, national origin, age, sex, citizenship, disability, genetic information, gender, sexual orientation, gender identity, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state, and local laws.

Job Title: Senior Marketing Data Analyst Company: Pond Lehocky About Us: Pond Lehocky is a prominent law firm dedicated to advocating for clients in workers' compensation and personal injury cases. We pride ourselves on our fast-paced, data-driven marketing culture and are seeking a Senior Marketing Data Analyst to help us leverage data for strategic decision-making and improved client engagement. Position Overview: As a Senior Marketing Data Analyst, you will be an integral part of our marketing team, partnering with cross-functional teams throughout the entire lifecycle of data analysis. You will transform complex datasets into actionable insights, guiding our marketing strategies and enhancing our overall performance. Key Responsibilities: Collaborate with various teams on data science initiatives, from ideation and exploratory analysis to running experiments and building dashboards and reports. Analyze complex datasets to identify trends and develop actionable insights that align with business objectives. Develop, own, and manage recurring analytical and reporting processes. Prepare and deliver visualizations and presentations that communicate analytic insights in a clear and impactful manner to both technical and non-technical stakeholders. Proactively convey complex analytical findings, ensuring clarity and understanding across teams. Qualifications: Personal Attributes: Data-driven, intellectually curious, and technically rigorous with a strong ability to communicate insights clearly. Eager to learn and embrace new technologies and solutions. Solid understanding of marketing concepts, including advertising, distribution, and campaign strategies. A collaborative team player with a positive outlook, eager to uplift and energize those around you. Key Competencies: Marketing Analytics: Familiarity with various marketing channels and their impact on business performance. Knowledge of industry trends and best practices in marketing analytics. Experience with experiment design, including A/B testing and multi-touch attribution modeling. Expertise in analyzing marketing performance metrics and calculating ROI. Statistical Modeling and Analysis: Proficient in predictive modeling, cluster analyses, marketing mix modeling, and multi-touch attribution modeling Experience with statistical software such as SQL, R, Python, and Power BI. Nice to Haves: Experience in data visualization and familiarity with Salesforce. Knowledge of marketing research methodologies and tools. Experience with: Social Media Marketing, Out-Of-Home (OOH) Marketing, Search Engine Optimization (SEO), Conversion Rate Optimization (CRO), Over-The-Top (OTT) Advertising and Broadcast TV Marketing Experience in developing and implementing machine learning algorithms for predictive insights. Ability to translate business requirements into AI/ML models, delivering actionable insights and solutions that support strategic decision-making. Strong grasp of supervised and unsupervised learning methods, feature engineering, and model performance optimization.

We are seeking a Data Scientist to support advanced analytics and machine learning initiatives across the organization. This role involves working with large, complex datasets to uncover insights, validate data integrity, and build predictive models. A key focus will be developing and refining machine learning models that leverage sales and operational data to optimize pricing strategies at the store level. Day-to-Day Responsibilities Compare and validate numbers across multiple data systems Investigate discrepancies and understand how metrics are derived Perform data science and data analysis tasks Build and maintain AI/ML models using Python Interpret model results, fine-tune algorithms, and iterate based on findings Validate and reconcile data from different sources to ensure accuracy Work with sales and production data to produce item-level pricing recommendations Support ongoing development of a new data warehouse and create queries as needed Review Power BI dashboards (Power BI expertise not required) Contribute to both ML-focused work and general data science responsibilities Improve and refine an existing ML pricing model already in production Qualifications Strong proficiency with MS SQL Server Experience creating and deploying machine learning models in Python Ability to interpret, evaluate, and fine-tune model outputs Experience validating and reconciling data across systems Strong foundation in machine learning, data modeling, and backend data operations Familiarity with querying and working with evolving data environments