Vacancy caducado!
Company DescriptionZenith is The ROI Agency, we succeed when our clients succeed. We have a simple strategy: motivate our people, deliver great work, and delight our clients. Clients want to work with happy and motivated people. We have a superb Talent team, helping the agency recruit, develop and retain the industry's best talent. We're constantly striving to create a winning culture and we're delighted that 91% of our people would recommend us as a great place to work. We are single mindedly focused on delivering great work. We have a consistent track record of making our clients' communications more effective. Our goal is to achieve commercial marketing success. We don't set out to win awards but see them as a function of great work. Our greatest credential is our client list. Every day we work on challenging business and communication issues, in partnership with great client marketing teams. We are proud to have worked with many of our clients for 10 years or more and are equally proud of our new relationships. To learn more, visitwww.zenithmedia.comJob DescriptionOverview: We don’t all look the same, and we don’t expect you to, either. But successful members of the Analytics team at Zenith generally have a passion for emerging tech and media, bring a data-driven approach to decision-making, have a fresh perspective and share it in a positive way, don’t shy away from a challenge, and are always hungry to learn more. We look for prior experience in media analytics, especially digital media. We hope you’re a numbers whiz and know how to bring data to life through a compelling story. You should already be used to representing your team to external clients, since Directors are often the face of our brand. Role Objectives: Working closely with both the Business Planning and Activation teams, the Director, Analytics will contribute to the design of the data strategy to tie our clients’ marketing to real-world business goals. Our Directors work very closely with their team of analysts to help them stay on track with day-to-day client deliverables. They also contribute crucial intellectual capital by designing measurement plans based on their client’s business needs, using data to tell great stories. Directors also work closely with their VP to build an Analytics strategy and execute on that plan in accordance with their team. This role reports directly into the VP, Analytics. QualificationsQualifications:
B.A. or B.S., preferably in Mathematics, Statistics, Computer Science, Marketing/Advertising or related field
8+ years of experience working in an Analytics capacity
Agency experience highly preferred
Knowledge of Digital Media, Marketing/Advertising industries highly preferred
Experience working with Python, R programming languages
Experience working with relational databases, SQL
Ability to communicate complex ideas to both external and internal clients, and ability and comfort with presenting to senior level clients
Ability to develop frameworks, learning agendas and steer complex analytics projects
Extensive experience with Ad Servers such as DoubleClick, and website analytics tools such as Google Analytics or Adobe Site Catalyst
Experience with other digital media and analytics tools such, Measurement Vendors, BI Software
Experience with third party research partners such as GfK, Nielsen and comScore
Advanced Excel skills (ability to work with macros, advanced formulas, pivot tables)
Experience working with large data sets
Experience managing and querying relational databases
Understanding of a broad range of online advertising media channels such as Search, Display Banners, Email, Contextual, and Social, as well as subject matter expertise in at least one of these areas
Ability to service clients, partners and internal stakeholders by understanding their needs, translating those needs into creative solutions, and delivering on those solutions with diligence and a sense of urgency
Experience and understanding with various cloud computing environments: AWS, Azure, GCP
Experience with ad verification tools such as IAS & Moat
Experience with using or analyzing data form DMPs and DSPs
Knowledge of Python or other data manipulation languages
Experience with two or more of the following advanced analytics methods: descriptive statistics, linear regressions, multi-touch attribution modeling, MMM, cross-device measurement
Experience designing databases, schemas, and ETL
B.A. or B.S., preferably in Mathematics, Statistics, Computer Science, Marketing/Advertising or related field
8+ years of experience working in an Analytics capacity
Agency experience highly preferred
Knowledge of Digital Media, Marketing/Advertising industries highly preferred
Experience working with Python, R programming languages
Experience working with relational databases, SQL
Ability to communicate complex ideas to both external and internal clients, and ability and comfort with presenting to senior level clients
Ability to develop frameworks, learning agendas and steer complex analytics projects
Extensive experience with Ad Servers such as DoubleClick, and website analytics tools such as Google Analytics or Adobe Site Catalyst
Experience with other digital media and analytics tools such, Measurement Vendors, BI Software
Experience with third party research partners such as GfK, Nielsen and comScore
Advanced Excel skills (ability to work with macros, advanced formulas, pivot tables)
Experience working with large data sets
Experience managing and querying relational databases
Understanding of a broad range of online advertising media channels such as Search, Display Banners, Email, Contextual, and Social, as well as subject matter expertise in at least one of these areas
Ability to service clients, partners and internal stakeholders by understanding their needs, translating those needs into creative solutions, and delivering on those solutions with diligence and a sense of urgency
Experience and understanding with various cloud computing environments: AWS, Azure, GCP
Experience with ad verification tools such as IAS & Moat
Experience with using or analyzing data form DMPs and DSPs
Knowledge of Python or other data manipulation languages
Experience with two or more of the following advanced analytics methods: descriptive statistics, linear regressions, multi-touch attribution modeling, MMM, cross-device measurement
Experience designing databases, schemas, and ETL
Additional Information
Vacancy caducado!