Analytics Consultant

3 weeks ago

Philadelphia Pennsylvania, United States Klick Full time

As part of our Analytics team, you'll be at the forefront of the big data revolution, guiding marketing strategies for our diverse range of clients. If you're ready to unleash your creativity and expertise in a fast-paced environment, we invite you to embark on your career journey with us at Klick.


As an integral part of our forward-thinking team, you'll collaborate closely with top-tier professionals to design, develop, and maintain cutting-edge data solutions. Embrace the challenge of handling growing datasets and navigating the ever-evolving media landscape, all while pushing the boundaries of digital transformation.


This role isn't just about crunching numbers – it's about driving real impact by merging data solutions into client engagements and marketing sciences products. You'll work hand-in-hand with stakeholders to craft tailored solutions that meet our clients' unique needs, all while showcasing your expertise in both individual and team settings. Your code will serve as the bedrock of our service offering, ensuring optimal performance and maintenance of our systems.

But it's not just about technical prowess – we're seeking individuals with insatiable curiosity, a drive to challenge the status quo, and a passion for uncovering insights that drive real change. If you're ready to dive deep, tackle complex challenges, and share your discoveries with peers and clients alike, then come join us on the forefront of analytics innovation. At Klick, your love for data will be celebrated and your potential truly unleashed.


Responsibilities:

Work in a collaborative manner and Interact with other analytic team members, Data Analysts, Project Managers, and Business Analysts to learn project data needs and define project scopeDesign, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals (Python and SQL)Maintain enterprise data warehouse (Snowflake preferred but not required)Build analytic products in the form of presentations, data outputs, system integrations, business intelligence platforms, and AI outputsFoster a culture of sharing, re-use, design for scale stability, and operational efficiency of code, queries, and data engineering processes (Git Management, SOP creation, Requirement Maintenance)


Qualifications:

4-5 years’ of hands-on practical experience with a minimum of 2 years’ of experience in ETL processing to be used for data analysis and modelingMinimum 2 years of working knowledge in Python and SQL is a mustExperience working with clickstream data sets and data lakes is a mustAbility to gather requirements from non technical stakeholders and clientsExperience with Business Intelligence platforms such as Power BI, Microsoft Fabric, and Tableau


Bonus Points

Healthcare experiencePost-secondary education in computer scienceDemonstrate working knowledge in database design and management



#LI-Hybrid #LI-SA1

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