• Du fungierst als zentrale Schnittstelle zwischen Daten und verschiedenen Abteilungen und übersetzt Erkenntnisse in konkrete, umsetzbare Handlungsempfehlungen • Du erstellst regelmäßige Performance-Reports zur Überwachung von KPIs sowie detaillierte Analysen zur Lösung spezifischer geschäftlicher Fragestellungen • Du erkennst Trends frühzeitig und führst eigenständig diagnostische Analysen durch • Du unterstützt Teams bei Bedarf bei der Dateneingabe und stellst dabei eine hohe Datenqualität und Genauigkeit sicher • Du übernimmst Verantwortung für deine Aufgaben, erkennst proaktiv Optimierungspotenziale und treibst eigenständig Initiativen voran – auch im Remote-Setup

• Utilize Epic EHR data sources (Clarity, Caboodle, and related reporting environments) to build scalable analytics and AI-ready datasets that support clinical quality improvement, operational performance, and population health initiatives. • Partner with business stakeholders to gather requirements and align analytics solutions with business objectives. • Perform advanced analytics, including statistical modeling, forecasting, and AI-driven insights. • Leverage Databricks AI and Databricks Agent to automate workflows and enhance data-driven decision-making. • Develop Power BI dashboards and visualizations that communicate complex insights clearly and effectively. • Collaborate with engineering and data platform teams to ensure proper data access and governance. • Identify opportunities to apply emerging technologies for improved business outcomes.

A LITTLE BIT ABOUT Boldr - Boldr is the first global B-Corp dedicated to delivering world-class Client experiences while creating access to dignified, meaningful work in communities around the world. - We are a global team, united by our desire to connect diverse people with common values for boldr impact.  - We employ just over a thousand team members across five countries and we want to employ over 5,000 people by 2027, if not sooner. LET’S START WITH OUR VALUES - Meaningful connections start with AUTHENTICITY - We do our best work by being CURIOUS - We grow by remaining DYNAMIC - Our success combines AMBITIOUS VISION with OPERATIONAL EXCELLENCE  - At the heart of great partnerships, we’ll always find EMPATHY WHAT IS YOUR ROLE  As a Data Analyst, you will be responsible for operational analytics, dashboard maintenance, and execution of reporting processes within existing data workflows. This is a mid-level analyst role focused on maintenance and support activities rather than strategic analytics design or advanced engineering work. The primary purpose of the role is to help the team stay out of the operational weeds by providing reliable analytical and reporting support. You will work within established data pipelines while maintaining high standards of accuracy, confidentiality, and efficiency. WHY WE WANT YOU  We are currently looking for impact-driven individuals who are passionate about helping Boldr grow and achieve our Purpose. We expect our Team to become our ultimate partners to success by always giving their 110% in everything, sharing their talents and quirks, and championing our core values: Curious, Dynamic, and Authentic.  WHAT WILL YOU DO - 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. - Processing confidential data and information according to guidelines. - Helping develop reports and analyses. - 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. - Training end-users on new reports and dashboards. - Providing technical expertise in data storage structures, data mining, and data cleansing.

Description Innovexis is excited to announce an opening for a Data Analyst Intern in the field of Education Management. This internship offers a unique opportunity to work remotely from India, where you will gain valuable experience while contributing to projects that enhance our educational services and data analytics capabilities. As a Data Analyst Intern, you will play a crucial role in analyzing educational data to support strategic decision-making and improve student outcomes. You will work closely with our team to gather insights, create reports, and help drive data-driven strategies within the organization. This position is perfect for individuals looking to kickstart their career in data analysis within the education sector. We offer a competitive monthly salary range of ₹20,000 - ₹25,000, along with a supportive learning environment that encourages professional growth and development. Responsibilities - Assist in collecting, cleaning, and analyzing educational data - Support the development of reports and dashboards to present findings - Collaborate with team members to identify key metrics and insights - Participate in data visualization and interpretation projects - Contribute to improving data collection and analysis processes - Conduct research to support ongoing projects and initiatives - Prepare presentations to communicate analytical results - Stay updated on best practices in data analysis and education management Requirements - Pursuing a degree in Data Science, Statistics, Mathematics, or related field - Strong analytical and problem-solving skills - Familiarity with data analysis tools (Excel, R, Python, etc.) - Basic understanding of data visualization techniques - Excellent communication and collaboration abilities - Detail-oriented with a passion for data-driven decision making - Ability to work independently in a remote setting - Prior experience with data analysis projects is a plus