director of analytics

Do you desire to make a key financial impact by utilizing your research, investigation, data analytics, and verification skills to protect the consumer's and company's financial well-being?  Are you a puzzle enthusiast, enjoy immersing yourself in "who done it" games, have exceptional software systems skills, advanced Excel skills, an understanding of SQL, and have a knack for mathematical word problems?  If so, we have a great opportunity as a Fraud Data Analytics Specialist for you!  This opportunity will be in the office three days a week and remote for two days a week.  It is a great role to position yourself for a long-lasting career in risk, compliance, cyber security, and data analytics. You will be immersed in an expanding team within a Fortune 500 Company that is passionate about what they do! The schedule requirement is Sunday-Thursday with working hours from 1:30pm to 10:00pm.  salary: $24 - $25 per hourshift: Firstwork hours: 1:30 PM - 10 PMeducation: BachelorsResponsibilities Investigate flagged "potential fraudulent activity" cases Research flagged potential fraud cases involving gift cards, multi-channel purchases, internal fraud, delivered merchandise, or returns utilizing 15 different software tools and databases  Retrieve and analyze qualitative and quantitative data related to the fraud investigation cases Utilize your advanced Excel skills and SQL experience extensively Document findings within the internal case management system Process, track, and coordinate legal processes and court orders received Perform a variety of operational functions and communicate findings, best practices SkillsFraud AnalystFraud InvestigationExcel MacrosSQL Server (2 years of experience is preferred)Excel Pivot Tables (2 years of experience is required)Data Manipulation (2 years of experience is required)Computer Application (2 years of experience is required)Puzzle Enthusiast (2 years of experience is required)Critical ThinkingAnalytical ThinkingDetail OrientedExceptional Communication (2 years of experience is required)Data AnalyticsWork Sunday to Thursday (1 year of experience is required)QualificationsYears of experience: 2 yearsExperience level: ExperiencedRandstad is a world leader in matching great people with great companies. Our experienced agents will listen carefully to your employment needs and then work diligently to match your skills and qualifications to the right job and company. Whether you're looking for temporary, temporary-to-permanent or permanent opportunities, no one works harder for you than Randstad. Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.At Randstad, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility).This posting is open for thirty (30) days.

job summary: Seeking a highly skilled and motivated Analytics Engineer to join a dynamic team. As a key contributor, you will be responsible for assisting with creation of automated data extractions, transformation, and loads (ETL) between various software systems managed by the client Equipment division. Currently this is being managed through manual processes. You will also assist with ETL from Equipment division software systems and their Data Warehouse (Microsoft Fabric Platform), and will create dashboards using Microsoft PowerBI for enhanced business insights. This is a contract to hire role with expectation to convert or extend after 6 months.   location: Towson, Maryland job type: Contract salary: $50 - 55 per hour work hours: 8am to 5pm education: No Degree Required   responsibilities: Job Duties - - Assist with creating automated data extractions, transformations, and loads (ETL) between various software systems managed by the Equipment division. Currently this is being managed through manual processes - Assist with ETL from Equipment division software systems and our Data Warehouse (Microsoft Fabric Platform) - Create Dashboards using Microsoft PowerBI for enhanced business insights and decision making for the Equipment division leaders - Assist with the development of predictive analytics resources based on data in our Data Warehous   qualifications: Job Requirements - Required - Excellent verbal and written communication skills - Must be onsite 3 days/week at: 300 E Joppa Rd Ste 800 Baltimore, Maryland 21286 - 5+ years of Experience in the Analytical Reporting and Dashboarding - 5+ years of Experience in Data Management and Pipelining (ETL) - 5+ years of Experience in Data Analysis - 5+ Years of Experience in SQL Database Programming - Strong Knowledge of Microsoft Power Platforms (PowerBI, Power Automate, Power Apps) - Enterprise Data Governance experience (Microsoft Purview Preferred) - Experience with data concepts, large data architectures and systems engineering towards data- centric solutions. - Experience working with cloud platforms (Azure) to leverage cloud services for scalable and flexible data solutions. - Excellent customer service skills - strong technical, analytical, and problem-solving skills Power BI Dashboard Visualization - Data Model development - Deep Excel Expertise "Back-End" understanding to pull data - SQL primarily - Also, they use an Oracle based (on premise) ERP - ETL Process knowledge Azure Analytics - Azure Data Lake - Azure Factory - Microsoft Fabric (new) Communication, team collaboration and other soft skills are equally as important. Also someone that lives nearby who is willing to come in 2-3 days per week and open to potentially going to 5 days the week down the line (if the client makes that mandatory. #LI-KC1   skills: Azure Data Factory - Microsoft Power Platforms (PowerBI, Power Automate, Power Apps) - Analytical Reporting and Dashboarding - Data Management and Pipelining (ETL) Desired Skills & Experience - - Knowledge of construction industry (preferred) - Experience with Azure Data Factory (preferred) - Should have experience working in Agile methodology. - Oracle Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com. Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility). This posting is open for thirty (30) days.

job summary: 100% TELECOMMUTE Description: Role will support 5 business segments); these business segments drive $330m in marketing generated revenue, $40m in HSA contributions, $240M in medical cost savings, 1k MQLs.Role will support 25+ products across B2B & B2C.The role will require a highly analytical and strategic Principal Data Scientist to drive data driven decision making and optimize marketing performance.This role will leverage advanced analytics, machine learning and statistical modeling to uncover customer insights, enhance segmentation and predict key behaviors to drive engagement and conversion.The role will collaborate closely with marketing, product and data engineering to ensure data accuracy, design impactful experiments and develop models that inform targeting, personalization and campaign optimization.This role will be a key driver in future proofing our data & analytics environment as marketing initiatives expand.Responsible for being the SME on marketing data, data pipeline development & optimization, partner with stakeholders to ensure data requirements are aligned to business priorities, maintain documentation for data processes, verifies the accuracy of the data, maintains master inventory of OH data challenges/gaps, ensure availability of enriched data sets for analytics.   location: Eden Prairie, Minnesota job type: Contract salary: $54.00 - 67.50 per hour work hours: 8am to 4pm education: No Degree Required   responsibilities: Responsibilities: Create predictive models & consumer segmentation models using demographic, psychographic, econometric, and statistical data to enable personalized marketing. We have some existing models that need to be moved into a new environment and updated with a new 3rd party data source.Collaborate with marketing stakeholders to optimize campaigns, apply customer segmentation and drive personalization strategiesUndertake rigorous and meticulous data analysis to extract and distill key population insights that will be consumed by functions such as marketing, product and client relations.Ability to work with imperfect data. Navigate and analyze complex, incomplete and sometimes unreliable data sources, applying statistical and rule- based approaches to clean and validate data.Enable analytic use cases by ensuring the availability of enriched data sets for campaign performance measurement, self serve analytics, audience segmentation and predictive modeling.Investigate discrepancies in marketing datasets, troubleshoot anomalies, and collaborate with data engineers to improve data reliability and accessibilityIdentify trends in member behavior and engagement.   qualifications: Ideal Background: Problem Solving Mindset: excited by the opportunity to work in a complex, messy data environment, solving ambiguous problems and translating analytics into actionable strategies. Not taking no for an answer, and instead willing to find compromise or drive towards uncovering a solution when no one else will. Results driven mindset in a constantly changing environment.   skills: Skills: data pipeline developmentfamiliar with cloud services and working in data bricksexperience with programming language and proficiency data pipeline developmentknowledge of creating and maintaining data models tailored for marketing analytic use cases.Proficiency in Python or R. SQL database querying experience and data manipulation/preparation.Knowledge of ML frameworks & algorithms and implementation.Familiarity with data visualization tools.Ability to work in data bricks and experience at building ML models is a must Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com. Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility). This posting is open for thirty (30) days. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.