Data Strategist

**What’s the role?**

**So, tell me about the company**

Brainlabs is an experimentation-led agency famed for its world-class company culture. We seek to create an environment where everyone is excited to come to work and contribute to our two-fold mission:

- to change the future of digital advertising
- to build the best company to work for

**What this job is**:

- Crafting data solutions to achieve marketing and business goals utilizing media and technology
- Connecting with key client stakeholders
- MarTech & AdTech management
- Implementing tracking and technical analytics implementations across martech, adtech, and web analytics
- Audit and Implement unified taxonomy and naming conventions to adequately measure business goals and objectives

**What this job isn’t**:

- Analysis of web analytics trends across websites
- Building dashboards, business intelligence, or business analysis
- Audience development
- Ad Operations

**Give me a breakdown of what a Sr Data Strategist at Brainlabs does**:
Account Management Responsibilities (75%):

- Assess and translate client and media team needs into tangible solutions utilizing 1P - 3P data, technology, and analytics solutions, verifying if existing infrastructure accomplishes these goals
- Provide guidance and lead discovery sessions to assess clients’ data and tech maturity
- current and future state initiatives
- Map Brainlabs’ data capabilities and resources to client needs
- Partner closely with technical specialists across analytics, measurement, ad ops, adtech/martech solutions, and reporting insights to ensure quality and timely deliverables exceeding client expectations
- Lead the data onboarding process for all new clients and existing clients with data strategy engagements
- Educate client delivery teams of data strategy capabilities

Leadership Responsibilities (15%):

- Communicate complex technical issues to non-technical users
- Manage client expectations, deliverables, and timelines
- Partner with Data Strategists, Data Analysts, and Reporting Specialists to ensure data governance and data effectiveness
- Collaborates closely with internally to ensure accurate campaign set up and execution

Ad Operations (10%)
- Audit existing trafficking processes and Ad Server utilization for improvements, gaps, errors
- Recommend organized process improvements
- Audit current taxonomy and implement unified naming convention to satisfy strategic data structure needs
- Monitor discrepancies and perform technical troubleshooting across ad tech vendors
- Ensure top-notch trafficking process

**What we really want**:

- Strategic data consultant who can see the “big picture” of a successful data ecosystem
- Intellectually curious individual who can learn new tech platforms and technologies quickly and can dig deep where necessary
- Process improvement driven individual
- Someone who sees the whole data lifecycle, from ingestion to visualization

**What particular set of skills would suit this role?
- 3-5 years of digital agency experience working on clients with media budgets exceeding $50M
- Working knowledge of adtech, martech, and data visualization tools and their role in delivering end to end data collection, segmentation, targeting, and insights
- High level knowledge of how paid media channels (paid search, paid social, programmatic, direct IO, and affiliate) contribute to branding and performance goals
- Hands on experience utilizing or recommending solutions for any of the following technologies: ad servers, tag management solutions, DCO, data visualization, clean rooms, web analytics, DMPs/CDPs, mobile measurement partners, 3P brand measurement, or data warehouses
- Understanding of campaign trafficking campaigns and ad serving and rich media tools like Campaign Manager 360 (CM360), Adobe DTM, etc.
- First party tag management solutions and analytics tools (Adobe Analytics\Omniture, Google Analytics 360, GTM, Tealium, TagMan)
- Ad verification tools like DoubleVerify, MOAT, and IAS

**How will I know I’m doing it right?**
- After 6 months you will have engaged and prioritized new analytics/measurement partners and established best practices.
- Have a view of the big picture data and performance with the ability to ensure SOWs and deliverables are being carried out
- Identify opportunities, threats, and risks and carry out or assign actions to minimize threats and maximize opportunities.
- Engagement with New Business team, Data Effectiveness team, and Client Partners