Job Description
Senior Analyst, Data Operations Omnicom Media US H&S New York, NY Job Details $50,000 - $75,000 a year 9 hours ago Benefits Paid parental leave Disability insurance Health insurance Dental insurance 401(k) Flexible spending account Parental leave Vision insurance Qualifications Marketing automation tools Data visualization software proficiency Presentations for conferences or internal meetings Business intelligence report generation Taxonomy Social media platforms Metadata management Data analysis software
Full Job Description The Company:
Hearts & Science has been inspired by confident marketers seeking business advantage in a world of personalized digital marketing, where CRM and addressable channels converge, and decisions must be made in real time to aggregate effective reach and deliver the right message at the right time. Designed to inform brand strategies with real-time insights, Hearts & Science is a data-driven marketing agency with expert media planning and buying capabilities, among other services that include shopper marketing, marketing innovation and content activation. The Data Operations team is pivotal in the delivery of modern agency services. We are tightly integrated with planning and investment teams to deliver on and exceed our clients' business goals. Responsibilities External facing responsibilities:
Development of data warehouse and visualization dashboards Creation and maintenance of calculated measurements and dimensions Development of dashboards using data visualization tools such as Datorama and Tableau Consult with subject-matter experts to design and develop business rules for data processing Setup and maintenance of data streams using business intelligence tools Monitor, respond & resolve data stream failures Ensure there are no gaps in measurements and dimensions Create and maintain taxonomy generators for campaigns, placements, ad sets, etc. Manage the development and maintenance of business intelligence tools Ensure compliance of data quality standards Internal facing responsibilities: Work with investment teams on taxonomy resolution within ad servers Create and conduct ongoing taxonomy QA check and inform internal teams of accuracy Required Skills Data Collection and Processing:
Familiarity in building data visualization solutions (Tableau, Datorama, etc.) as well as automation solutions (Alteryx, Datorama, etc.) Good presentation and communication skills Demonstrated knowledge of the function and formation of standardized taxonomy practices for more accurate and efficient data collection & automation Familiarity with QA resolution Familiar with planning, optimization and analysis tools (Planit, Prisma, DDS) Demonstrated knowledge using self-serve tools within Search platforms (Google Ads, Bing, SA360), Programmatic DSPs (DV360, Yahoo, etc.), Ad Servers (CM360, Innovid, etc.), Social Platforms (Meta, Pinterest, TikTok, etc.) and Google Suite (Marketing Platform, Tag Manager, Analytics, Merchant Center) Education and Experience A university degree in a related field, and 1-3 years of experience in advertising, management consulting, marketing or digital consulting Knowledge of agency-side execution processes #LI-CM1 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 relevant experience, other job-related qualifications/skills, and geographic location (to account for comparative cost of living). The Company reserves the right to modify this pay range at any time. For this role, benefits include: health insurance, vision insurance, dental insurance, 401(k), Healthcare Flexible Spending Account, Dependent Care Flexible Spending Account, vacation days, sick days, personal days, paid parental leave, paid medical leave, and STD/LTD insurance benefits. Compensation Range $50,000 - $75,000 USD This role is hybrid, requiring three (3) days per week in the office. The remaining two (2) days may be worked remotely. Specific in-office days will be discussed during the interview process, with flexibility to align with team needs. Please note that the number or required in-office days may be adjusted over time, potentially increasing the number of required in-office days based on business needs.
