Marketing Attribution & Data Analyst

Company DescriptionHyperscience is a technology company blazing a new path in enterprise automation with a reimagined approach to building and powering processes. The Hyperscience Platform is the world's first Software-Defined, Input-to-Outcome Automation platform used by top public companies and government organizations around the world to build and run mission-critical processes with ease and speed.
Hyperscience helps enterprises quickly build and roll out new business processes with built-in automations, reduce manual errors, increase high- and low-skilled employee productivity, and eliminate the need for costly transformation. Hyperscience’s Intelligent Document Processing solution has been implemented at some of the world's leading financial services, insurance, healthcare and government organizations, including TD Ameritrade, QBE Insurance Group Limited and Voya Financial, helping them lower costs, reduce error rates by 67% and increase employee capacity by 10x.
Since its founding in 2014, Hyperscience has grown to more than 250 employees with offices in New York City, Sofia, Bulgaria, and London, UK, and has consistently been recognized as one of the best places to work, with a collaborative and innovative culture and best-in-class benefits.
Job DescriptionWe’re looking for someone who loves to turn data into insights and communicate fearlessly.
You want to help marketing teams make data-informed decisions and actions, you have a curious mindset, and are motivated to understand our business better.
The perfect candidate will be responsible for the attribution model from first click to close, working hand-in-hand with your peers in Marketing and Sales operations.  Supporting a team of Marketers to measure and analysis every element of their campaigns, but more than this, actively advising them on the best tactics based on the data you see and the industry best practice’s that you know.
This is a full-time position located in the UK reporting to the Senior Director of Growth Marketing, working with a great team of fellow marketers, supporting a fast-growing field sales organization.  

Responsibilities

• Own the attribution model using Bizible.
• Identify and analyze trends or patterns in complex data sets in Marketo, Salesforce, Google and other systems.
• Build data models to accelerate the business by providing deeper insights into visitor and customer behavior, and fee the teams hunger for insights.
• Tight collaboration with the Sales Operations team to ensure we are all looking at one set of the truth – data is completely aligned.
• Guide Marketers on what they should be measuring and how.
• Build a robust self-serve analytics platform for Marketing and the business at large.
• Support acquisition strategies with in-depth analyses on critical behavior, as well as channel specific optimization – SEO, paid, content, brand, etc.

Qualifications

• 5+ years’ experience of working in a B2B software business in analytics/data.
• Excellent skills with analytics tools, fluency with BI/visualization tools such as Looker, knowledge of SQL and other analysis tools.
• Ability to manage multiple projects in an agile and deadline-driven environment.
• Strong verbal communication, proven team collaboration skills, and demonstrated leadership and influence abilities.
• Ability to work in a fast-paced and high-energy organization.

Benefits & Perks:- Top notch healthcare for you and your family- 30 days of paid leave annually to help nurture work-life symbiosis- Stock options- Paid gym membership- 6 month parental leave (or double salary to pay for your partner's unpaid leave)- Free travel for any person accompanying a breastfeeding mother and her baby on a business trip- A dependent care and education stipend- Budget to attend conferences, train, and further your education- Relocation assistance
We are an equal opportunity employer. We welcome people of different backgrounds, experiences, abilities and perspectives. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.