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.
Summary:
As a Senior Data Strategy & Analytics Analyst, you will play a key role in ensuring high-quality data delivery, improving reporting frameworks, and supporting deeper analysis to inform internal decision-making. This role builds on strong data foundations and introduces more advanced analytical thinking, while maintaining a focus on scalable execution and operational excellence.
You will work closely with internal and cross-functional teams to enhance data processes, support performance analysis, and contribute to more efficient and data-driven decision-making across accounts.
What You Will Do:
- Manage digital media, third party, and client data across multiple clients.
- Lead data ingestion, QA, transformation, and validation processes for complex datasets.
- Design, build, and maintain scalable dashboards and reporting solutions (e.g., Tableau, Datorama, Looker, Power BI) aligned with business needs.
- Identify, troubleshoot, and proactively resolve data discrepancies, tracking issues, and reporting gaps.
- Support the analysis of performance trends, helping internal teams better understand drivers and areas of opportunity.
- Contribute to deeper analyses and structured approaches that inform optimization and decision-making.
- Partner with cross-functional teams to understand data needs and deliver clear, actionable outputs.
- Collaborate closely with US-based leads to gain exposure to client needs, business context, and performance drivers.
Contribute to automation of reporting and data workflows to improve efficiency and scalability.
- Support improvements in data processes and help identify opportunities to streamline operations.
- Develop an understanding of how data flows across systems and support data integration efforts.
Collaborate with technical teams to support data-related initiatives and troubleshooting.
- Help standardize data workflows, documentation, and best practices across accounts.
Gain exposure to more advanced methodologies (e.g., testing approaches, structured analyses) as part of ongoing development.
- Develop strong familiarity with digital marketing platforms, data structures, and internal tools.
Must Have:
- 3+ years of experience in data analysis or analytics environments.
- Strong analytical and problem-solving skills, with the ability to work through ambiguous or undefined challenges.
- Advanced proficiency in SQL and strong Excel or GSheets skills (mandatory).
- Experience working with large datasets and multiple data sources.
- Experience building dashboards or reporting solutions.
- Ability to manage multiple priorities and work independently.
- Strong communication skills in English (B2+/C1 level).
- High attention to detail and strong sense of ownership.
- Exposure to AI tools or a strong willingness to develop skills in AI-driven solutions and automation.
- Ability to work in a fast-paced, team-oriented environment.
- Bachelor Degree in Data Analytics, Computer Science or related fields.
Nice to Have:
- Experience with other data visualization tools (e.g., Datorama, Looker, Power BI).
- Experience with Tableau.
- Exposure to digital marketing or media analytics.
- Familiarity with statistical concepts, testing methodologies, or performance analysis frameworks.
- Exposure to scripting or automation tools (e.g., Python).
- Interest in more technical aspects of data (e.g., data pipelines, data architecture).
- Experience supporting cross-functional teams with data-driven insights.
Benefits & Perks
- Competitive health and dental benefits.
- Tuition reimbursement and training stipend.
- Hybrid Office/WFH Schedules: office supplies, internet, and phone stipend.
- “Work from Anywhere” 4 weeks per year.
- Stocked kitchen, and other team outings.
- Collaborative and friendly work space, easily commutable location.
- Volunteering & altruism opportunities.
- Team building lunches and events, and company celebrations: Summer, Halloween, Holidays, and many multicultural holidays recognized/celebrated.
- If something is important to you that’s not listed here, let us know!
Career & Development Focus
- Ongoing learning and development for education opportunities such as webinars, books, classes, relevant conferences and events.
- Opportunities to pursue business related side projects and Hackathons.
- Environment of learning from peers, including 30+ class training program, Kepler University, powered by Center of Excellence and Tiger Team subject matter expert groups.
- Opportunity to work with cutting edge technology and industry thought leaders.
- Kepler Rocket Mentorship Program: beneficial for the development of both mentors and mentees.
**All applications must include a Resume & Cover Letter in English to be considered.
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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