Zenith is a full-service media agency with capabilities and expertise across all channels and disciplines. Zenith is part of Publicis Media, the #1 media buying network in the Americas and #2 globally. As “The ROI Agency,” Zenith’s expertise lies in driving real, tangible business outcomes, not just media metrics, that will have a measurable effect on our clients’ business. Every investment we make has an ROI mindset—not just for our clients, but for our agency at large. We’re focused on driving the maximum value for our people, our capabilities and our media investments for some of the world’s leading brands.

Job Description

Job Description

The Data and Platform Solutions teams is a team of experts that help to deliver better marketing decisions using data, and apply expertise in how audience data can help impact a client’s business. Working closely with the media planning, investment, and analytics teams we translate client goals and objectives into actionable data using internal agency or external client technologies such as DSPs, RMNs, and CDPs. Our team goals are to educate on uses of data, drive innovation in the data and tech space, partner with analytics to create test plans, generate key insights and profiles to align with strategic planning, and maximize value of our client partnerships.

The Manager of Data & Platform Solutions is an entry-level management role that will specifically be responsible for audience profiling, activating of audience data, and managing the technology platforms that drive better marketing decisions in partnership with the media team. This highly motivated, detail-oriented individual manages processes around targeting data, generates reports to understand key insights, and overall executes on the client’s investments in data and their technology stack.

The successful candidate is a curious problem solver with a knack for telling stories through data.

Role Objectives:

• Manage day-to-day operations in platforms, like a DMP, CDP, and/or DSP
• Manage the process of defining audiences to be targeted, sharing data with partners, and tracking and compiling performance reports regarding audience groups for client account(s)
• Mine category and brand data that will uncover insights that will drive business results
• Integrate and work in partnership with client research, insights and analytics teams to make data a cornerstone for smarter planning
• Act as internal resource to demonstrate agency knowledge of data strategies and communicate complex concepts to a non-technical audience
• Help answer client questions, create client-ready presentations, and present at client meetings. Support and/or manage writing of data and audience deliverables (timelines, POVs, RFPs, presentations, etc.)

Qualifications

Minimum Qualifications:

• B.A. or B.S., preferably in Marketing, Advertising, or Data Science
• 3+ years of experience preferred in digital media, ad technology, ad operations, or analytics
• Self-starter who is quick to learn and eager to contribute
• Excellent interpersonal, verbal, written communication, and presentation skills
• Experience managing multiple, competing priorities, duties and/or projects
• Knowledge in digital media planning, across all channels, with the deep understanding of latest and emerging buying models (retail or commerce experience a plus)
• Experience with multiple methodological approaches for consumer brand insight (social listening, syndicated tools, primary research)

Additional Information

All your information will be kept confidential according to EEO guidelines.

Compensation Range: $81,500 – $105,000 annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. For this role, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 9/25/2024.

#LI-Hybrid

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• Become an expert in your product areas, acting as the go to person for other stakeholders before speaking to the technical data and software engineering teams
• Drive writing of clear user stories and tasks with Engineering teams to track ongoing and upcoming work
• Ensure tickets and timelines are consistently updated. Follow up with technical teams on status and roadblocks
• Draft clear and concise business requirements and technical product documentation
• Understand the AI space, educating others across the company on requirements and guidelines for setting up GenAI, ML, and API based projects.
• Design, build and own repeatable processes for implementing projects
• Collaborate with software engineers, data engineers, data scientists and other product teams to scope new or refine existing product features and data capabilities that increase business value, adoption, and user engagement
• Understand how your product area links into the wider company road map and be able to educate internal teams on the vision of the org
• Communicate with technical audiences to identify requirements, gaps and barriers, and translate needs into product features
• Track key performance indicators to evaluate product

• 2+ years technical business analyst, data analyst, technical product, engineering, etc. experience with demonstrated ability to deliver alongside technical teams
• Technical depth that enables you to collaborate with software engineers, data engineers and data scientists and drive technical discussions about design of data visualizations, data models, ETLs, deployment of data infrastructure
• Understanding of Data Management, Data Engineering, API development, Cloud Engineering, Advanced Analytics, Data Science, ML, GenAI, NLP, or Product Analytics concepts or other data/product tools such as SQL, Python, R, Spark, AWS, Azure, Airflow, Snowflake, and PowerBI

• Bachelor’s degree
• Create user stories, tickets, etc.
• Strong communication skills, with clear verbal communication as well as explicit and mindful written communication skills to work with technical teams
• Agile methodologies & frameworks and product tools such as Jira and Confluence
• B2B or B2C experience helpful
• Healthcare
• Passionate about building data products

This position is with NYK Group Americas Inc.

NGA Group Companies does not include salary ranges in job postings because the total compensation is dependent on the candidates’ experience, the position location, and several other factors. At times, job posting sites add a salary range without the approval of the NGA Group Companies and the ranges provided may be inaccurate and/or misleading. We encourage candidates to apply to our NGA Group Companies and discuss their compensation expectations as part of the recruitment process.

Responsibilities:

Qualifications:

• Problem Solver – capable of dissecting complex problems and providing appropriate solutions and alternatives that are specific.
• Positive Attitude – maintains a can do attitude and inspires others when presented with challenges or obstacles.
• Proactive / Self Stater – motivated to complete work assignments based on own self initiative.
• Results Orientated – does not disregard need for strategy and planning, but is most passionate about getting things done that contribute to competitive advantage rather than conceptualizing about what or how things should be done. Strives for continuous improvement while maintaining a realistic viewpoint.
• Accountable – team player who diligently follows tasks through to completion and holds themselves, as well as others, accountable for their commitments. Provides reasons for shortfalls and proposes actions to correct, rather than excuses.
• Communication – communicates and provides feedback in a concise, candid, honest, and timely manner.
• Business Acumen – able to quickly provide keen judgment in understanding and dealing with a business situation in a manner that facilitates an efficient decision making process and is likely to lead to a positive outcome.
• Business Knowledge – understands RoRo Business and / or Shipping/Ocean Carrier related business and has experience with associated business functions (preferred, but not required).
• Business Analysis – experience documenting Business and Functional requirements, as well as Standard Operating Procedures (SOP)
• Must be proficient with Microsoft Office suite of modules including Excel, Word, PowerPoint, Visio.

• 5 years of Business Analyst experience and / or 3-5 years of Shipping Business experience.
• Business Analysis experience is preferred, although not mandatory as training can be given once on the job.

• 
  Bachelor’s degree required.

• Medical, Dental, and Vision
• 401k with a company match
• Flexible Spending Accounts, Life and Accidental Death & Dismemberment Insurance, Short & Long Term Disability, Tuition Assistance Program, Commuter Benefits, vacation, and much more.

Yardi is currently seeking a Machine Learning Engineer I (MLE1) to join our team, focusing on the end-to-end development of predictive models with an emphasis on Natural Language Processing (NLP) and Natural Language Understanding (NLU). As an MLE1, you will utilize tools like PyTorch, spaCy, and Pandas to build and optimize models within a production environment, enhancing our property management products. Your role will involve automating processes, improving productivity, and increasing customer satisfaction through advanced ML techniques. Key responsibilities include data handling, model development, statistical analysis, and system optimization for peak performance.

What You’ll Do:

• Develop and refine state-of-the-art Transformer based architectures and generative text models

• Research and implement solutions using large language models (LLMs) like Llama2 and GPT-3.5

• Manipulate and reshape extensive data sets for effective training

• Collaborate with cross-functional teams to ensure the seamless integration of models

• Integrate machine learning solutions with databases, including SQL Server and Redis, to ensure efficient data storage and retrieval

• Analyze and document reasons for test failure; revise and debug assigned programs and procedures as necessary

• Efficiently identify and resolve issues that arise during the design, testing, and maintenance processes using problem-solving skills

• Use corporate approved sourced control applications (e.g., Microsoft Team Foundation Server, Git) to maintain code changes

• Use CRM systems to track cases, defects, and resolutions

• Adhere to department policies, procedures, and standards in the development and implementation of software

Who You Are:

• Bachelor’s degree in computer engineering, computer science, or similar field; or an equivalent combination of education and experience

• One plus (1+) years of experience as a machine learning engineer using Python or equivalent programming tools in an application development environment

• Proven track record of working on NLP, NLU, and OCR projects

• Experience in or knowledge of one or more of the following ML algorithms: Linear Regressions, Decision Tree, Logistic Regression, Random Forest, Support Vector Machines, Naïve Bayes, KNN Classification, K Means Clustering Machine Learning Engineer I (1 Dec 2023) Page 2 of 2

• Experience in or knowledge of one more of the following libraries: TensorFlow, NumPy, Keras, SciPy, Pandas

• Strong proficiency in utilizing tools and libraries like Pytesseract, OpenCV, Flask, Streamlit, Seaborn, Pandas, and scikit-learn

• Solid knowledge of relationship databases (SQL Server)

• Proficiency in programming languages such as Python, with the ability to write clean, efficient, and maintainable code

• Excellent attention to detail with a high level of accuracy

• Independent problem-solving and analysis skills

• Clear, effective oral and written communication skills

• Demonstrated ability to meet critical deadlines and prioritize multiple tasks in a fast-paced environment

Real Estate runs on Yardi. About Us:

Yardi pioneers the property tech industry by seamlessly blending 40 years of tradition with forward-thinking innovation. We’ve created a team of over 9,000 employees in over 40 locations around the globe dedicated to making great real estate software products.

Discover the Yardi Difference:

Yardi is more than just a software company – we are dedicated to creating a positive impact in our communities. Annually, Yardi extends philanthropic support to organizations chosen by our employees. Our team has contributed to over 350 nonprofits globally, demonstrating our commitment to various causes and communities.

Our award-winning culture, consistently recognized by Glassdoor’s prestigious Best Place to Work, fosters support, collaboration, and growth. We prioritize your well-being with comprehensive benefits, including 100% paid employee medical premiums, company profit-sharing plan, and flexible work arrangements.

Join Yardi and be part of a company that empowers, inspires, and celebrates success. #YardiCulture #BestPlaceToWork #YardiCareers

Annual compensation $120,000

This position is not eligible for sponsorship.

All submissions for open positions should be received through Yardi’s applicant portal, accessed from Yardi’s corporate website.

EOE/Race/Gender/Disability/Vets

BUSINESS UNIT

DEPARTMENT

EMPLOYMENT TYPE

Minimum Qualifications

• Bachelor’s degree in computer science, data architecture, data/information science or related field and 2 years of relevant experience
• Strong working knowledge of SQL and relational databases in a data warehousing environment
• Logical and physical data modeling experience and use of a modeling tool such as Erwin
• Working knowledge of analytical data management environments such as data marts, operational data stores, data warehouses or data lakes
• Experience in systems development working with enterprise systems and third-party applications or demonstrated proficiency with software applications, technical skills and business processes
• Strong organizational and time-management skills
• Experience researching topics to gain knowledge and understanding when information gaps exist
• Ability to collaborate effectively with others from wide variety of backgrounds and cultures

Preferred Qualifications

• Experience using Ellucian’s Banner enterprise resource planning solution, operational data store, and enterprise data warehouse
• Experience using the Oracle Database Management System
• Experience using Microsoft Power Platform products, namely Power BI or other data access tool for reporting and analysis
• Experience using Oracle Data Integrator or other data sourcing tool for ETL
• Experience using IData’s Data Cookbook or other metadata management tool for metadata management
• Experience using a customer relationship management (CRM) system such as Slate
• Experience working in a higher education environment

Essential Functions and percent of time:

• Extract, transform, and load data and participate in data quality initiatives.
• Assist in the creation of data objects and structures, such as those used to forecast revenues/expenses for the institution.
• Integrate data from different sources, including databases, data warehouses, application programming interfaces (APIs), and external systems.
• Ensure data consistency and integrity during the integration process, performing data validation and cleaning as needed.

• Design and develop business intelligence solutions to support business and reporting needs (i.e., reports, dashboards) using Wright State BI tools including Oracle DBMS, Microsoft Power BI, SQL, and tools associated with individual applications.
• Review and analyze the effectiveness and efficiency of existing analytical systems and develop/implement processes and standards for improving or further leveraging these systems.

• Develop a high-level enterprise logical data model, physical data model, and views of related data sub-architectures such as database, data integration, data warehouse/BI, reporting metadata, and content management architectures.
• Design/document the structure and layout of operational data systems and their relationship to the analytical data management environment including databases, the operational data store (ODS), the enterprise data warehouse (EDW), and related data stores.

Essential Functions and percent of time (cont’d):

• Assist with implementing and maintaining BI applications.
• Identify, research, and resolve technical problems within BI applications.
• Provide technical support for the ODS/EDW and work closely with database administrators during ODS/EDW upgrades.
• Participate in the implementation of Wright State’s Data Governance program.
• Support the definition and management of metadata including the use of Data Cookbook.

• Serve as a member of the institution’s BI team under the leadership of the Director IRE.
• Work with representatives from functional areas and CaTS to map business processes/requirements and to continuously improve data structures and reporting data sources.
• Assist in problem resolution and support of complex report development.
• Other duties as assigned.

• Half-day Fridays year round
• Unlimited PTO
• Extended Holiday break (Winter)
• Flexible schedules
• Work from anywhere options*
• 100% paid parental leave
• 401(k) matching
• Medical, Dental, Vision, Life, Pet Insurance
• Sponsored life insurance
• Short Term Disability insurance and additional voluntary insurance
• Annual Class Pass Credits and more!

• This position may be performed remotely in most states within the US, with some exclusions

You Will Be

• Partnering with a cross-functional team of exec-level leaders across Data Strategy, Analytics Engineering, Analytics Management, Data Engineering, Data Visualization and Data Analysis
• Directly overseeing and managing a team of Data Strategy Associate Directors and Managers
• Overseeing the design and deployment of Data Strategy delivery models, including client onboarding and team management processes for the Data Strategy team
• Partnering with Data Strategy & Analytics leaders to deliver scalable, high-quality, cross-channel data solutions and service experiences quickly to clients and their teams across Analytics Engineering, Analytics Management, Data Engineering, Reporting Solutions, and Data Analysis
• Partnering with Data Strategy & Analytics leaders to design processes to efficiently deliver cohesive Data Strategy & Analytics services across technical teams to clients and internal stakeholders from our support queueActing as an escalation point to promptly resolve complex and occasionally unprecedented situations with broad definitions
• Monitoring billable hours across your client portfolio to ensure Data Strategy & Analytics services are aligned with client contracts
• Monitoring team bandwidth and new business to advocate for the appropriate amount of staff to effectively service our client portfolio, as well as conducting Data Strategy leadership interviews
• Educating and training client services and channel departments on Data Strategy & Analytics solutions
• Pitching new business on the differentiated value of Data Strategy & Analytics services, crafting a consultative sales approach through consulting on prospect MarTech stacks and Polaris solutions
• Partnering with Product Management to help support client onboarding to Polaris, Wpromote’s proprietary marketing intelligence and automation platform
• Working closely with the Data Strategy & Analytics team to define and implement optimal processes for project management in Asana and productivity reporting
• Overseeing the creation of new Asana task templates in partnership with Data Strategy & Analytics leaders to automate aspects of project management and productivity reporting across the team
• Serving as an executive sponsor and a resource for client-facing delivery on Enterprise clients as needed
• Provide thought leadership across a variety of Data Strategy focus areas: Customer Data Platforms, Media Strategy & Optimization Methods, Data Privacy Regulations & Data Usage Guidelines, and MarTech Architecture

You Must Have

• 8+ years of experience working in digital analytics and marketing environment
• 6+ years of experience working with media data
• Excellent client-facing experience at a performance marketing agency
• Demonstrated success in transforming data into actionable insights within the context of performance marketing
• A strong understanding of marketing and advertising technology platforms including advertising (Google Ads, Facebook Ads, etc.), analytics (Google Analytics, Adobe Analytics, etc.), data aggregation, manipulation (dbt), visualization (Funnel, Google Data Studio, Looker, Tableau, etc.), and cloud warehouses (GCP, AWS, etc.)
• Familiarity with creating and implementing data taxonomy governance best practices across multiple ad platforms
• Excellent executive-facing communication and presentation skills, with the ability to understand the technical detail behind data utilization for digital marketing and the ability to explain it simply to non-technical audiences
• Excellent project management skills, with the ability to work efficiently across multiple teams, clients, and timelines simultaneously

Nice To Have

• Prior career experience working in a practitioner-level role in one or several of the following disciplines: Analytics Engineering, Analytics Configuration/Management, Data Engineering, Data Visualization, Media Buying, Account Management/Client Services. The more prior experience directly working in these different role types, the better!

• Former direct experience serving in any role across media buying, client services, analytics engineering, analytics configuration, data visualization, and/or data engineering
• 3+ years of people management experience, including guiding and mentoring managers to enable a high-performing team and culture
• Building and implementing standard processes to scale a service operation end-to-end
• Experience with Media Mix Modeling, Forecasting, Incrementality Testing, or Predictive Analytics