• Accurately inputting, updating, and maintaining large volumes of data into our company databases and computer systems. • Reviewing data for errors, inconsistencies, or deficiencies and correcting any incompatibilities. • Organising and sorting information to ensure data is easily accessible and retrievable. • Generating reports and extracting data for various departments upon request. • Upholding strict confidentiality and data protection standards at all times. • Performing regular backups to ensure data preservation. • Assisting with other administrative tasks as needed to support the team.

Role Description We are looking for a business-oriented Senior Data Analyst with strong experience in data transformation and visualization, eager to transform complex data into actionable insights. The role focuses on analytical problem solving and supporting data-driven decision-making in close collaboration with the business side. Key Responsibilities - Gather and translate business requirements into data-driven solutions - Create and maintain dashboards, reports, and semantic data models - Ensure data quality, consistency, and usability across reporting solutions - Collaborate with data scientists, data engineers, and business stakeholders within the “data squad.” - Present insights and recommendations in a clear and actionable way to non-technical stakeholders, enabling data-driven decision-making. Qualifications - Experience as a Data Analyst or BI Analyst in a data-driven environment. - Strong skills in dashboarding and visualization tools (e.g. Power BI, Looker, Tableau). - Good knowledge of SQL, data modeling, and semantic layers. - Experience with cloud-based analytics platforms, ideally Google Cloud Platform (GCP). - Strong communication and stakeholder management skills - Experience working with cross-functional and virtual teams - Confident German and English Skill (B2-C1) Requirements - Energy industry experience - (Advanced) knowledge of Python - Knowledge of data science methods Benefits - Please be informed that our remote working possibility is only available within Hungary due to European taxation regulation. Company Description As Hungary’s most attractive employer in 2025 (according to Randstad’s representative survey), Deutsche Telekom IT Solutions is a subsidiary of the Deutsche Telekom Group. The company provides a wide portfolio of IT and telecommunications services with more than 5300 employees. We have hundreds of large customers, corporations in Germany and in other European countries. DT-ITS received the Best in Educational Cooperation award from HIPA in 2019, acknowledged as the Most Ethical Multinational Company in 2019. The company continuously develops its four sites in Budapest, Debrecen, Pécs and Szeged and is looking for skilled IT professionals to join its team.

Role Description You will be: - Designing, building, and maintaining dashboards and reports that deliver meaningful business insights. - Performing ad-hoc analyses, data validation, and troubleshooting using SQL. - Collaborating with Analytics Engineers to ensure data models and data marts effectively support reporting and analytical needs. - Creating intuitive data visualizations following BI and data visualization best practices. - Configuring and maintaining row-level security and tenant-specific access within BI tools. - Enabling and promoting self-service analytics across the organization. - Working with modern data platforms to improve reporting standards and the overall analytics experience. - Exploring new approaches to analytics, including embedded analytics and AI-powered reporting capabilities. Qualifications - Strong SQL skills for querying, validating, and analyzing data. - Hands-on experience with modern BI platforms such as Amazon QuickSight, Sigma, Looker, or Power BI. - Experience designing dashboards and reports with a strong focus on usability and effective data visualization. - Good understanding of row-level security and tenant-based access control within BI solutions. - Ability to work closely with both technical and business stakeholders to translate reporting requirements into effective analytical solutions. - Work from the European Union region and a work permit are required. Requirements - Experience connecting BI tools to a lakehouse architecture using Amazon Athena, JDBC, or Apache Iceberg. - Familiarity with self-service analytics and embedded analytics solutions. - Understanding of data models and data marts, allowing effective collaboration with Analytics Engineers. - Experience with Sigma (Input Tables, Sigma Tenants, warehouse-native analytics). - Exposure to AI-powered or natural-language analytics solutions ("talk to your data"). Recruitment Process - CV review - HR call - Interview - Client Interview - Decision

Role Description We produce high-quality training data for a leading AI/robotics client building a large-scale egocentric (first-person) video dataset. Our pipeline auto-generates annotations at scale; your job is to review the segments flagged as potentially inaccurate, judge them against the client's guidelines, and correct or reject them so only clean data is delivered. This is precision quality-assurance work under a strict standard — audited batches must pass at a high accuracy threshold, and low-scoring batches are rejected outright. Your judgment directly affects whether our deliveries get accepted. Day In The Life - Review language annotations — check that written descriptions and action labels accurately, clearly, and consistently describe what's happening in each video, following detailed labeling guidelines. - Verify action segmentation & timing — ensure that videos are broken into correctly timed, non-overlapping action segments. - Sanity-check hand-pose tracking — flag errors and implausible results in machine-generated hand and motion tracking. - Flag compliance issues — identify privacy issues (e.g. faces or personal information) and any content that doesn't meet collection quality or content standards. - Contribute to a high, continuously audited accuracy target — consistency matters as much as speed, since weak batches can be rejected as a whole. - Maintain alignment with other reviewers on shared calibration sets. - Meet the throughput target. Qualifications - Excellent written and reading English comprehension — you must accurately apply detailed, nuanced guidelines. This is the single most important requirement. - Sharp attention to detail and the stamina for focused, cognitively demanding review. - Consistent, well-reasoned judgment on ambiguous, edge-case segments. - Reliable high-speed internet and a device capable of smooth video playback. - Comfort in a remote, target-driven environment with regular calibration checks. Requirements - Prior data annotation, labeling, QA, or content-review experience (nice to have). - Familiarity with video annotation / labeling tools (nice to have). - Exposure to computer vision, robotics, or hand/gesture tracking concepts (nice to have). Company Description Workstream is a mission-driven company building the all-in-one HR, payroll, and hiring platform for managing the hourly workforce. Our customers include leading brands from multiple sectors, including Burger King, Carl's Jr./Hardee's, IHOP, KFC, and Culvers. We are a high growth series B company and quickly expanding our product portfolio to deliver on our vision. We are backed by legendary VCs and industry experts like Founders Fund, BOND, and Coatue.