Data Insights Specialist
1 day ago
We are seeking a detail-oriented Data Insights Specialist to support our cloud-based data solutions. The successful candidate will be responsible for data ingestion, transformation, and analysis, ensuring data quality and providing ongoing support for our solutions across multiple markets.
The role involves managing the maintenance of current solutions, ensuring stability and reliability, and acting as the primary point of contact for day-to-day support.
Key Responsibilities:- Data Management & Analysis: Collect, consolidate, and ingest data from various sources into Google Cloud Storage (GCS).
- Monitor and maintain data pipelines, ensuring timely and accurate data processing through ETL workflows.
- Perform data validation, cleansing, and transformation to guarantee data integrity across datasets.
- Work collaboratively with Data Scientists to understand the logic behind machine learning models and support improvements when needed.
- Generate actionable insights and reports with strong Excel and PowerPoint skills. Experience with visualization tools (e.g., Tableau, Looker, or Power BI) is a plus.
- Manage the maintenance and ongoing support of solutions in existing markets.
- Ensure stability and reliability by promptly addressing issues in data pipelines, models, and dashboards.
- Act as the primary point of contact for markets, handling day-to-day support requests and ensuring high levels of service.
- Collaborate with the onshore team to align maintenance efforts with broader project goals and timelines.
- Provide regular updates to stakeholders on the status of maintenance activities, issues resolved, and upcoming improvements.
- Bachelor's degree in Computer Science, Data Analytics, Statistics, or a related field.
- 2-4 years of experience in data analysis, with hands-on experience in cloud-based solutions, preferably on Google Cloud Platform (GCP).
- Strong proficiency in SQL for data querying and transformation.
- Experience with ETL tools and data pipeline orchestration in cloud environments.
- Familiarity with machine learning concepts and the ability to understand model logic and output.
- Proficiency in at least one scripting language, such as Python or R, for data manipulation and analysis.
- Experience with data visualization tools (Tableau, Looker, Power BI) and creating dashboards for stakeholders.
- Work on high-impact data solutions that drive decision-making across markets.
- Collaborate with a global team of experts in data engineering, data science, and business analysis.
- Enjoy a dynamic and collaborative work environment with opportunities for continuous learning.
- Be part of a team that values innovation, quality, and proactive problem-solving.
- A competitive compensation package.
- Ongoing training and professional development opportunities.
- A collaborative and supportive work environment.
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