• Develop and deploy advanced analytical models to improve our understanding of Network supply and demand, identify operational inefficiencies, and deliver actionable recommendations to leadership. • Implement real-time dashboards and reporting to track and assess Network performance against established metrics. • Challenge the status quo and be willing to propose and test new strategies for increasing competition and engagement within our service provider network. • Analyze feedback, ratings, and reviews from multiple sources and stakeholders to gain insights into service quality, customer satisfaction, and provider satisfaction, identifying actionable insights for improvement. • Develop operational and performance data to generate actionable insights and recommendations for 3rd party service providers, enabling them to enhance their service delivery, optimize processes, and align more closely with organizational objectives. • Analyze the capacity of our Network, identifying gaps, weaknesses, and opportunities to improve operational efficiency and service quality, making recommendations for Network recruiting, retention, and optimization. • Leads test and pilots for process changes as a result of analysis and communicates the results and recommendations to all areas of management. • Serves as an internal data analytics expert by ensuring consistency in data analysis methodologies and sharing of best practices.

• Design, implement, and operationalize data governance frameworks across client engagements, covering the following areas: **DATA GOVERNANCE & POLICY** • Define and implement data governance frameworks, policies, and standards tailored to client environments. • Establish data ownership, stewardship models, and accountability structures across business and technical teams. • Develop and maintain data dictionaries, business glossaries, and classification taxonomies. • Ensure compliance with data regulations and internal data management policies (GDPR, BCBS 239, etc.). **DATA QUALITY & LINEAGE** • Design and implement data quality rules, profiling routines, and monitoring dashboards. • Investigate and remediate data quality issues across structured and unstructured data sources. • Map and document end-to-end data lineage to support auditability and impact analysis. • Define and track data quality KPIs and SLAs in collaboration with data owners. **METADATA & CATALOGUING** • Deploy and administer data catalog and metadata management tools (e.g. Informatica, Collibra, Alation, Microsoft Purview). • Enrich metadata assets with business context, ownership, sensitivity classification, and usage information. • Drive adoption of the data catalog across business and technical teams. **TOOLING & INTEGRATION** • Configure and operate data governance platforms, primarily Informatica (IDMC, Axon, EDC, DQ) and equivalent tools. • Integrate governance tooling with existing data pipelines, warehouses, and BI environments. • Automate data quality checks and governance workflows within ETL/ELT pipelines. **OTHER** • Provide internal training and knowledge-sharing sessions on data governance best practices. • Support the Team Lead/Manager on client relationships, business development, and internal projects.

Role Description To strengthen our growing consulting team in Bangalore, we are looking for a Senior Consultant– Data Analytics who is excited to tackle real-world supply chain challenges. If the following responsibilities sound like you, we’d love to get to know you: - Bridge the gap between supply chain business requirements and analytics solutions. - Support in designing technical concepts and developing tailored solutions using our assets. - Create data requests to gather relevant supply chain data and support in setting up data integration processes. - Implement solutions at our clients’ sites in areas such as supply chain transparency, inventory management, supply planning, and demand forecasting. - Preparation and transformation of supply chain data, including data integration, cleansing, applying business logic, and adapting our existing scripts/model templates. - Build large scale supply chain control tower systems to enable transparency and provide decision support using data analytics. - Validate implemented solutions in collaboration with project teams and client stakeholders. - Collaborate with our data engineering team to build efficient data pipelines. - Contribute to the continuous improvement of our technical assets, including scripts, logics, and models. Qualifications - 5 to 8 Years of experience in data analytics domain with focus on supply chain management. Experience in client facing roles would be preferred. - Bachelors / master's degree in technology, Industrial Engineering, Business Informatics, Applied Mathematics, Economics, or a related field with focus on Supply Chain, Data Analytics, or AI/ML. - Strong analytical and structured thinking with a high willingness to learn. - Hands on working experience with supply chain data sources like ERP systems, MRP tools, Inventory management software, sales, warehousing, and TMS systems. - Understanding of supply chain master/transactional data and related dependencies. - Hands-on experience in data preparation (ETL), modeling, and analysis using tools like Databricks, Python, Spark, SQL. - Familiarity with data visualization and automation tools like Power BI, Qlik Sense, Power Automate, Power Apps, or similar. - Interest or experience in AI, Machine Learning, mathematical modeling, or operations research is a plus. - A solid understanding of supply chain processes. - Experience in working on large scale projects with multi-disciplinary teams across the globe. - A hands-on mentality, team spirit, and a customer-centric mindset. - Strong communication skills in English. Benefits - Permanent contracts: Shape your future with a company that invests in long-term growth. - Flexible work setup: Enjoy work-life balance with remote options and flexible hours. - Mentorship & buddy program: We support you from day one, ensuring you’re guided through your daily tasks and long-term development by inspiring colleagues and role models. - Equal opportunities, diversity, and transparent career paths: Your potential counts. - Medical insurance for you and your family: We care about you and your family’s health. - Unmatched peer quality: A chance to work with some of the best minds in the industry, continuously learn from them and contribute towards larger structure. - An amazing team culture: With flat hierarchy where your opinions are not just valued but acted upon. A culture that constantly encourages you to take ownership and act like an entrepreneur. Company Description At aioneers, you’ll be part of a professionally managed, innovation-driven, asset-based consulting firm headquartered in Germany. You’ll work with a unique and passionate team that is reshaping the future of supply chains - and driving your own career forward. We specialize in digitalizing strategic, tactical, and operational decision-making in supply chain management. With our cutting-edge analytics and business solutions, we help companies optimize their supply chain processes end-to-end.

• Collect, analyze, and interpret data from media platforms, web analytics tools, CRM systems, accounting platforms, and other business data sources. • Build, maintain, and optimize reporting dashboards and data visualization solutions using platforms such as Tableau and Google Data Studio. • Transform, blend, and visualize data using statistical methods and analytical tools to identify trends, outliers, and business opportunities. • Write queries and code to connect, extract, and manage data across multiple platforms, databases, and data warehouses. • Collaborate with cross-functional teams to translate business questions into actionable reports, dashboards, and recommendations. • Monitor and improve data quality, collection processes, and reporting accuracy while supporting ad-hoc analytics projects and business requests. • Communicate analytical findings and educate stakeholders on data relevance, performance metrics, and statistical significance.