Data Science Analyst
Concord
Concord isn't your typical consulting firm; We help organizations move technology and AI initiatives from concept to measurable capability, working alongside our clients from the initial definition of success through full implementation and adoption. Our team brings expertise across artificial intelligence and data, digital experience, and platform engineering, enabling the organizations we serve to build lasting internal capability. We are seeking a Data Science Analyst who can bring together Data Science, Business Intelligence, Experimentation, and Marketing Analytics best practices to support our clients. This role requires a person who can architect, develop, and maintain analytics pipelines while collaborating effectively with client and Concord teams. Expertise in data manipulation, machine learning, and data science techniques combined with strong organizational skills are a must for this role. Collaboratively design and implement data & analytics solutions with clients, including initial design through final delivery. Provide appropriately rigorous analysis to the client depending on the use case. Interpret data in a way that leads to actionable strategies. Leverage data manipulation tools such as SQL, Python, R, or other tools to create and capture the appropriate analysis. Leverage machine supervised and unsupervised learning techniques as appropriate to gather answers for the client. Create and evaluate Large Language Model (LLM) prompts and responses for use in data products. Utilize event-driven data to create dashboards in tools such as Tableau, emphasizing core KPIs. Advise on the most fitting type of analysis or data product to address business questions. 1-2 years of digital analytics or machine learning experience.
- Strong knowledge of SQL.
- Knowledge of data analysis and storytelling: Tableau, Amazon Quicksight, Qliksense, Looker, GA4, or BigQuery.
- Python experience (including Spark/PySpark) is a plus.
- Experience with platforms such as Databricks, Snowflake, or other Warehousing and Analytics platforms preferred.
- AWS, Azure, Google Cloud Platform, or other cloud provider experience preferred.
- Knowledge of statistical tests, A/B testing, predictive analytics, or Machine Learning a plus.
- Exceptionally organized with the ability to multi-task on multiple projects in a fast-paced environment, while maintaining attention to detail and flawless customer-centric focus.
- BS/BA in Statistics, Computer Science, Marketing, Psychology, UX, or Business or related fields.
- A love for data, and sound belief in its possibilities.
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