Senior Research & Data Insights Analyst

PAL01 - Palo Alto, CA B-1/1a (PAL01)

HP

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Senior Research & Data Insights Analyst

Description -

Description

We’re looking for a confident individual to join our Product Solutions team!

Qualified person should have experiences in advertising funnel, reach, brand lift, and contextual opportunities to understand advertiser’s needs and solutions.

Candidates must be knowledgeable about digital targeting, attribution models and reporting, and performance advertising with a strong understanding of businesses. In addition, candidates must have a strong knowledge base of digital advertising.

Responsibilities:

  • Develop attributes and segmentations based on data insights generated from first, second, and third-party data.

  • Craft detailed requirements for data-driven solutions, ranging from targeting to planning to measurement.

  • Measure campaign effectiveness through various testing methods and recommend improvements.

  • Identify and prioritize product needs based on customers and marketplace feedback and communicate business requirements effectively to help drive an impactful ad product roadmap.

  • Work directly with clients to identify new features & functions and serve as a data insight expert in client meetings and solution development.

  • Consult internal teams based on – data insights, use cases, customer successes and unique value and differentiators.

  • Identifying opportunities for standardization & automation of existing solutions and processes to enable maximum potential from our teams.

  • Manage expectations regarding timing, capabilities, and the application of tests and analytics methodologies.

  • Be the business & solutions subject matter expert across the business in all areas of key funnels, reach and contextual solutions.

Qualifications

  • Minimum 10+ years working in an adtech or Advertising Sales company, crafting new solutions, products, or go-to-market in the Agency and Brand space.

  • Bachelor’s degree or higher in Business, Advertising or related field.

  • Experience working with media, adtech vendors, and agencies.

  • Experience working with data solutions.

  • Must be comfortable with major data concepts (e.g. attribution reporting, machine learning, etc.)

  • Understanding & proficiency in media planning and measurement concepts.

  • Work to build support and consensus for ideas across teams.

  • Detail-oriented approach to crafting data-driven solutions, that serve client needs from end-to-end.

  • Deep understanding of the digital advertising space, with knowledge of programmatic landscape, Connected TV & upcoming technologies, industry trends, and major players.

  • Strong proficiency in data analytics tools (SQL, Python, R, Tableau, Power BI).

The base pay range for this role is $130,350 to $200,750 annually with additional opportunities for pay in the form of bonus and/or equity (applies to US candidates only).  Pay varies by work location, job-related knowledge, skills, and experience.

Benefits:

HP offers a comprehensive benefits package for this position, including:

  • Health insurance

  • Dental insurance

  • Vision insurance

  • Long term/short term disability insurance

  • Employee assistance program

  • Flexible spending account

  • Life insurance

  • Generous time off policies, including; 

    • 4-12 weeks fully paid parental leave based on tenure

    • 11 paid holidays

    • Additional flexible paid vacation and sick leave (US benefits overview)

The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.

Job -

Data & Information Technology

Schedule -

Full time

Shift -

Shift 1, 0% premium (United States of America)

Travel -

Relocation -

Equal Opportunity Employer (EEO) - 

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement

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Tags: Data Analytics Machine Learning Power BI Python R Research SQL Tableau Testing

Perks/benefits: Career development Equity / stock options Flex hours Flexible spending account Flex vacation Health care Insurance Medical leave Parental leave Salary bonus

Region: North America
Country: United States

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