Senior Analyst, Data Strategy & Analytics
Philadelphia
Full Time Senior-level / Expert USD 70K - 88K
Kepler Group
Kepler fuses advanced data analytics with human insight and world-class creativity to propel global brands into the future.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. In fact, we’re proud to share that AdAge recognized Kepler among the Best Place to Work in 2022, validating our investment in our team and our clients.
- 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 Senior Analyst plays a critical role in ensuring client and company success, reporting and measuring digital campaign performance, mining for deeper insights to drive performance, developing testing roadmaps, and leveraging martech to solve critical data challenges.
The position requires strong quantitative skills, business savvy to understand and advance client marketing goals, a technical mind with the attention to detail and patience to troubleshoot within the latest ad tech platforms, and a desire to be part of a tightly-knit team that’s out to change the industry.
What You Will Do:
While each client engagement is unique, you may:
- Partner with clients and internal teams to understand business and marketing goals, leveraging analytics to advance these goals
- 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
- Develop and execute against a queue of custom analyses to uncover insights that support media optimizations and/or resulting client recommendations
- Deploy best practices in media/site tracking and customer data management to maximize data availability and cleanliness to enable deep analysis
- Build and regularly update forecasts for media performance based on conversion targets and/or available budget and communicate their ability to accurately predict performance based on basic statistics metrics observed
- Establish and maintain data connections for clients leveraging data visualization tools such as Datorama
- Provide recommendations for data visualizations and develop ad hoc client-facing reporting and visualizations leveraging Excel, PowerPoint and Python to illuminate insights
- Assist in automating reporting processes that enable the business to scale, gaining a thorough understanding of major media platforms and how to collect data from each
- 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
Desired Skills and Experience:
- 2+ years of experience in paid media/marketing analytics, statistics, digital media buying, engineering or ad tech
- Strong background in analytics / statistics with experience working with big data sets
- Knowledge of programming languages to aid in analysis (e.g. SQL, Python)
- Experience with visualizing data within online platforms (e.g., Datorama, Looker, PowerBI) and/or the Microsoft Office Suite
- Some knowledge of digital marketing measurement solutions (e.g. MMM, Attribution, Lift / Incrementality Testing, Data Clean Rooms)
- Site Analytics experience (GA4 / Adobe)
- Appetite for learning new technologies and interest in automating workflows through the use of AI
- Excellent communication and presentation skills with strong ability to create and build relationships
- Ability to apply innovative thinking to solve complex client marketing challenges
- Ability to self-manage, juggle multiple priorities, and pay close attention to details
- Ability to contribute to fast-paced, entrepreneurial, team-based environment
Transparency is fundamental to Kepler’s culture. Our compensation strategy is designed to attract, reward, and retain the talented employees that drive Kepler’s growth and success. We aim to offer competitive direct compensation and a rich indirect compensation program that demonstrates the value we place on our employees and their wellbeing.
Total Compensation:
- Base Salary: $70,000 - $84,000
- Target Annualized Discretionary Bonus: 5% ($3,500 - $4,200)
- Target Total Cash: $73,500 - $88,200
Benefits:
- Healthcare/Dental/Vision
- Unlimited PTO
- 401k Contributions
- $125/mo Mobile Phone Stipend
- $50/mo Internet Stipend
- $200/yr Home Office Equipment Stipend
- $800/yr Annual Learning Stipend
- $1,500/yr Annual Education Stipend
- Parental Leave - 16 week primary caregiver / 6 week secondary caregiver leave
- Annual Work From Anywhere 4 weeks per year
Kepler is a people first organization. If this roles piques your interest but you may not check every box, we still encourage you to apply! Studies show that imposter syndrome can prevent women and people of color from applying unless they meet every single qualification. We welcome all who are interested to apply, you just might be a great candidate for this role or others.
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Tags: Big Data Data management Data strategy Data visualization Engineering Excel Looker Power BI Python Research SQL Statistics Testing
Perks/benefits: Career development Competitive pay Gear Health care Home office stipend Parental leave Salary bonus Unlimited paid time off
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