Position: Data Lead ( health platform) at US product company
Company: Art2Hire
Category: Data Analyst
Experience required: 3y
English level: upper

Health, and longevity company developing a platform focused on maximizing people’s health span, is now looking for a Data Lead. 

Role Location: Remote (Fully distributed team) + bi-annual off-sites in person. Close to CET timezone is preferred.
Type: Remote, full-time

**About the Company:**

It's a new health and longevity high-growth start-up that helps users understand what actions are working to slow or reverse the aging process. It was co-founded by two serial entrepreneurs who launched, scaled, and exited consumer tech platforms that reached over 1 billion users. Company is currently backed by $5m in seed investment. 
It gives its users the tools to understand their rate of aging and shows them what actions people like them are taking to slow it down or even reverse it. The company is seeking other mission-aligned people that want to make a significant contribution to making all people in the world healthier. They believe in collaboration and radical inclusivity, and deeply value these traits in prospective team members. It's a small distributed team with mini hubs in several cities worldwide.

**About the Role:**

We are seeking an experienced Data Lead to join the talented team, to play an integral role in understanding, analyzing and optimizing the user experience. This includes top of funnel customer acquisition, middle of funnel user engagement and behavior change and bottom of funnel retention data. You will be providing insights to the business based on how best to improve performance in key product and marketing metrics, such as cost per installs and activation, referral mechanics, cohort
analysis, conversion to trial and subscription, engagement and active user metrics, retention and in the development and refinement of models used by the company`s team.

You will work on large and complex data sets to understand the behavior of Company end users, develop and analyze strategies for business growth and product development, and help design and prototype analytical and reporting tools that will support growth.

**Responsibilities:**

- Work closely with the marketing/growth and product teams to identify, design, and implement reports, dashboards, and analysis needed by the business 
- Review, refine and monitor Key Performance Indicators (KPIs), create event triggers and  analyze web and app usage metrics, to better understand what’s working and provide recommendations to the business of what optimizations to prioritize 
- Analyze customer behavior on our app and transform raw data into insightful findings 
- Create insightful dashboards and visualizations using Amplitude, Mixpanel, Google Analytics, Looker, and or other tools to help inform the team 
- Collaborate with founders, product lead, engineers, and growth lead to analyze product and marketing performance trends and analyze A/B testing results to improve app/web experience 
- Quantify, measure, and visualize the improvement/success of new marketing channels, campaigns, creatives, products, features, and business initiatives 
- Build data-driven solutions to improve processes and be a key contributor to build a data-centric organization and culture 
- Using data mining to extract information from data sets and identify correlations and patterns  
- Organizing and transforming information into comprehensible structures 
- Using data to predict trends in the customer base and the consumer population as a whole 
- Performing statistical analysis of data 
- Using tools and techniques to visualize data in easy-to-understand formats, such as diagrams and graphs 
- Preparing reports and presenting these to management or clients 
Identifying and recommending new ways to save money by streamlining business processes 
- Monitoring data quality and removing corrupt data 
Communicating with stakeholders to understand data content and business requirements  

**Requirements:**

- BA/BS in Computer Science, Math, Physics, Engineering, Statistics, Data modelling or other technical field or 3+ years equivalent technical work experience, and / or be qualified as a Certified Data Management Professional (CDMP) or equivalent 
- 2+ years of experience in data analytics, doing quantitative analysis, preferably with mobile applications, SaaS, or e-commerce industry  
- 2+ years experience working collaboratively with product and or marketing/growth team members such as: product management, engineering, design, data science, data engineering, marketing leads, growth leads etc. 
- 2+ years experience manipulating data sets through statistical software (ex. R, SAS, Pivot Tables) or other methods 
- 2+ years experience with product optimization work i.e., funnel/app/website optimization and/or outbound communication channels like email or push notifications 
- 1+ years experience with product optimization or growth best practices 
- 1+ years experience in SQL and/or other programming languages is a plus 
- Experience in making analytical, data-driven decisions and communicating the results of analyzes 
- Experience in statistics (e.g., hypothesis testing, product experimentation, regressions, experimentation logic and biases) 
- A solid understanding of data sources, data organization and storage (knowledge of relevant relational databases is a plus) and the ability to decipher and organize large amounts of data 
- Strong IT and mathematical skills 
- In-depth knowledge of statistical methodologies and data analysis techniques and the ability to produce informative, relevant and user-friendly reports 
- Experience in writing and running SQL queries would be an advantage 
- Advanced or at least working knowledge and experience of Amplitude (preferable) or MixPanel 
- Experience with other platforms like Segment, Appsflyer, Looker, Tableau, or similar or equivalent business intelligence software and mobile analytics tools, is a plus 
- Excellent analytical skills to effectively scrutinize data for inaccuracies 
The ability to pay attention to detail when working with data in order to make accurate conclusions and predictions 
- Strong verbal and written communication skills to effectively share findings with stakeholders,  including technical and non-technical audiences
- Be an independent self-starter who is comfortable taking on a high level of responsibility 
- Able to work and thrive in a fast-paced environment, learn rapidly and master new skills 
- Detail-oriented, data-driven and execution focused 
- Experience with Agile/Scrum framework would be an advantage
- Proficient in Excel and data recording software 
- English - Upper Intermediate +  

**Comp and benefits:**

 Competitive salary $4-6K/month
 Share options in the company
 Fully remote and flexible hours
 Get to work with a high performing and mission-aligned team solving a big problem