Manager, Data Strategy & Analytics

Kepler Group•New York, NY

2d•$90,000 - $117,000

About The Position

Kepler executes engineered marketing, where every message and ad delivered helps create a more personalized and productive relationship between brands and their consumers. We do this by acting as clients’ agency of record, as their in-house team, or some hybrid of the two – and by harnessing data and technology across all paid digital media and data-driven CRM channels. Kepler prides itself on being a great place to work. We're transparent with our employees. You'll hear updates on company financials, how we're performing against bonus goals, and how we're responding to challenges we face. We're growing. For you, that means unparalleled growth opportunities and a role in shaping the direction of the company. We're fun. You'll work with and learn from the smartest people in the industry and have a blast doing it. The Role: The Data Strategy & Analytics Manager plays a critical role in ensuring client and company success by understanding our clients tech, analytics and data strategy and defining a learning agenda that focuses on mining for insights, leveraging measurement technologies to make data-driven decisions, and implementing new solutions where there are gaps in client tech. You’ll have opportunities to build knowledge and expertise in specific solutions across reporting and visualization, MarTech tools, and measurement as well as opportunities to teach and mentor analysts and peers. The position requires strong quantitative and communication skills, business savviness to understand and advance client marketing strategy, a technical mind to operate and leverage the latest ad tech platforms, and a desire to be part of a tightly-knit team that’s out to change the industry.

Requirements

3-5+ of experience in paid media/marketing analytics, statistics, digital media buying, engineering or ad tech
Strong background in analytics, statistics or strategic insights generation
Knowledge of programming languages to aid in analysis (e.g. SQL, Python, R)
Familiarity with digital marketing measurement solutions and preferably, deep understanding of at least one (e.g. MMM, attribution, Lift / Incrementality Testing, Data Clean Rooms)
Experience with visualizing data within online platforms (e.g., Datorama, Looker, PowerBI) and/or the Microsoft Office Suite
Site Analytics experience (Google Analytics, Adobe Analytics or similar measurement platform)
Ability to apply innovative thinking to solve complex client marketing challenges
Appetite for learning new technologies and interest in automating workflows through the use of AI
Strong ability to lead, create and build relationships – both internally and with clients
Excellent listening, written and verbal communication skills
Effective time management skills – ability to prioritize and meet deadlines
Ability to contribute to fast-paced, entrepreneurial, team-based environment

Responsibilities

Partner with clients and cross-functional internal teams to develop an actionable, data-driven narrative for your clients, grounded in client business reality and brand objectives
Help design and execute tests to quantify the impact of marketing campaigns, leveraging advanced statistical and programming techniques and working with partners to ensure media best practices are adhered to (A/B Testing, Matched Market Testing, Brand + Conversion Lift)
Develop, manage, and execute against, a queue of custom analyses to uncover insights that support media optimizations and/or resulting client recommendations (Lifetime Value & Propensity Modeling, Creative Fatigue, Promotional Impact etc)
Uncover opportunities for media/site tracking and customer data management improve and guide teams and/or clients in deploying best practices
Oversee quality and best practices in all data visualizations and dashboards, ad hoc client-facing reports and forecasts with an eye towards clear data-driven storytelling
Learn about, and leverage, Adtech/Martech capabilities via vendor research, training, and use case development
Become an expert on your client’s tech stack and how data assets are leveraged for targeting and measurement
Have the opportunity to manage 1 or more Analyst(s)/Senior Analyst(s)