Data Analyst
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Sedric is an emerging leader in the field of AI-based compliance risk management for B2C fintechs. Backed by top-tier VCs, the company has an R&D center in Tel Aviv, a global customer base, and sales operations in the US, Europe, and Australia.
Sedric’s SaaS platform seamlessly analyzes customer interactions, integrating them across multiple channels (video, voice & chat) to prevent, detect and intelligently mitigate compliance and reputation violations.
We are looking for a team player to join our growing data team. The right candidate has great analytical skills, can tell a story through data, has a fine eye for detail, and is a problem-solving fan.
You will ensure that our data and insights are actionable to drive decisions across the business and communicate data-driven insights and recommendations to key stakeholders at all levels.
Responsibilities:
- Managing master data, including creation, updates, and deletion.
- Managing users and user roles.
- Provide quality assurance of imported data, working with quality assurance analysts if necessary.
- Commissioning and decommissioning of data sets.
- Helping develop reports and analysis.
- Managing and designing the reporting environment, including data sources, security, and metadata.
- Supporting the data warehouse in identifying and revising reporting requirements.
- Supporting initiatives for data integrity and normalization.
- Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems.
- Generating reports from single or multiple systems.
- Troubleshooting the reporting database environment and reports.
- Evaluating changes and updates to source production systems.
Requirements:
- Bachelor’s degree in computer science.
- 2+ years experience as a data analyst or similar position
- Ability to work with stakeholders to assess potential risks.
- Ability to analyze existing tools and databases and provide software solution recommendations.
- Ability to translate business requirements into non-technical, lay terms.
- High-level experience in methodologies and processes for managing large-scale databases.
- Demonstrated experience in handling large data sets and relational databases.
- High-level written and verbal communication skills.
