
Data Insights Professional
2 days ago
About Data Insights
We are looking for a skilled professional to join our data operations and analysis team. The ideal candidate will have a deep understanding of data science and analytics, with experience in working with large datasets.
The role involves supporting strategic data infrastructure decisions, discovering and driving improvements in data processing, and providing timely and thorough analysis. You will have the opportunity to influence the future success of our data assets.
Key aspects of this role include:
- Developing a deep and comprehensive understanding of the data and infrastructure we work with.
- Summarizing and documenting different aspects of the current state, probing for opportunities, and charting the path forward with solutions to improve the accuracy and volume of the data we serve to our customers.
- Collaborating with our data engineering, product management, and research counterparts to drive forward the improvement opportunities you've identified.
- Pursuing technical training and development opportunities and striving to continuously build knowledge and skills.
- Exercise good judgment in ambiguous situations and being a problem solver.
- Being a team player and willing to tackle new challenges.
- Mentoring and coaching junior analysts.
- Working independently with guidance and resources when needed.
Requirements for this role include:
- 2-5 years of experience in analytics, quantitative research, and/or data operations.
- Knowledge of databases, ETL development, and challenges posed by data quality.
- Ability to summarize complex analyses in a simple, intuitive format, and to present findings in a clear and concise manner to both technical and non-technical stakeholders.
- Strong understanding of AI technologies, including machine learning, natural language processing, and data analytics.
- Detail-oriented with strong organizational and analytical skills.
- Strong initiative and ability to manage multiple projects simultaneously.
- Exposure to and technical understanding of working with data at scale.
- Experience in a product or project-driven work environment preferred.
- Advanced level SQL, Python, BigQuery, Excel skills, handling large-scale complex datasets.
- Experience building, deploying AI / ML solutions.
- Familiarity with data visualization tools, i.e.Tableau / Looker Studio.
- Experience with DataBricks, AWS, or Airflow is preferred but not mandatory.
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