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.

Role Description Launch Potato is looking for a Lead BI Developer to own the reporting infrastructure that powers decision-making across our Credit Cards, Make Money/Manage Money, Banking, and Marketplace verticals with a clear growth path into becoming a proactive analytical partner who helps the team see around corners. You'll be embedded with the business from day one, partnering closely with our Yield, Paid Media, and Account Management teams to: - Uncover meaningful trends - Conduct retrospective analyses across experiments, creatives, offers, seasonality, and CAC performance - Challenge the team with insights they aren't currently seeing This is NOT a role for someone who wants to build dashboards and hand them off; it's for someone who cares deeply about whether the work they build gets used, understood, and acted on. Qualifications - Expert SQL & Comfortable with Unstructured Complex Data - Reporting Ownership & Data Literacy - Performance Marketing Optimization - Advanced LookML Development (or equivalent in Power BI / Tableau) - Curiosity & Business Depth Requirements - Minimum 7 years in business intelligence or analytics with direct exposure to performance or affiliate marketing - Experience owning reporting end-to-end, from pipeline to dashboard - Worked with messy, complex, third-party data - Partnered closely with business teams to uncover meaningful trends and conduct retrospective analyses Outcomes (Performance Expectations) - 30 Days in: Actively engaged with stakeholders to audit reporting consumption, identifying discrepancies, redundancies, and inconsistencies. - 60 Days in: Articulated how assigned verticals make money and improved dashboard standardization while executing on ad hoc requests. - 90 Days in: Executed dashboard standardization and established working relationships with Yield, Paid Media, and Account Management. - 6 Months in: Built trust with the business team through education and delivered proactive retrospective analyses. - Year 1: Became a trusted technical owner for assigned verticals, completing reporting standardization and consistently delivering retrospective analysis. Competencies - Analytical Rigor - Reporting Ownership - Business Acumen - Communication - Proactive Ownership - Collaboration - Curiosity & Growth Benefits - Base salary set according to market rates for the nearest major metro - Compensation package includes a base salary, profit-sharing bonus, and competitive benefits - Future increases based on company and personal performance

Senior Data Analyst, Operational Intelligence Location: Remote or Hybrid Team: Operational Intelligence Company: Quickbase - Full Time - IT - 610295 Job Description: Overview Quickbase is seeking a Senior Data Analyst, Operational Intelligence to strengthen our self-service analytics capabilities across the organization. This role sits at the intersection of data analysis, business intelligence, and operational partnership, with a strong focus on surfacing trusted, high-quality insights that empower Product and Customer Success teams to make faster, more confident decisions. You will work closely with our Product and Customer Success organizations as a senior analytics partner, developing a deep understanding of how those teams operate and translating complex business questions into clear, reliable reporting and analysis. The ideal candidate brings strong SQL and data modeling skills, experience supporting operational teams and recurring business cadences, and the ability to communicate data clearly to both technical and non-technical stakeholders. What You'll Do - Develop and maintain dashboards and reports that track core KPIs across product adoption, customer health, retention, and operational performance - Serve as the primary senior analytics partner for Product and Customer Success teams, translating business questions into reliable, actionable insights - Design and maintain data models in Snowflake that support self-service analytics and recurring reporting needs - Contribute to the governed data layer by authoring dbt models, tests, and documentation via pull requests - Define and document key business metrics to ensure consistency and trust across reporting - Enable self-service analytics by building reusable datasets, standardized metric definitions, and clear documentation that allow stakeholders to answer their own questions - Support operating mechanisms including business reviews, executive reporting cycles, and recurring operational processes where data accuracy and timeliness are critical - Ensure data quality, consistency, and performance across analytics workflows - Collaborate with Data Engineering on modeling standards and architectural best practices - Contribute to a governed semantic layer in Snowflake that serves as the trusted data foundation for self-service analytics and AI-driven tools - Partner with the Applied AI team to align on data requirements for automation workflows, ensuring Workato and Snowflake Cortex outputs are grounded in consistent, well-documented metric definitions What You Bring - 7+ years of experience in data analytics, business intelligence, or operations analytics roles - Advanced SQL skills with a strong understanding of data modeling concepts - Solid hands-on experience with dbt, including building models, tests, and documentation - Experience with Snowflake or a comparable cloud data platform - Demonstrated experience supporting Product, Customer Success, or similar operational teams at a senior level - Strong understanding of how operational teams consume and act on data, including experience supporting business reviews and recurring reporting cadences - Strong experience with Power BI or a comparable BI and data visualization tool, including dashboard development and semantic modeling - Comfortable working independently on complex, ambiguous problems and driving them to a clear, trusted solution - Ability to translate complex data into clear, actionable insights for both technical and non-technical audiences - Strong communication and collaboration skills, including the ability to engage credibly with senior stakeholders Nice to Have - Experience with Snowflake Cortex, semantic modeling tools, or AI-driven analytics platforms - Familiarity with additional BI tools such as Looker, Tableau, or Sigma - Exposure to data governance and data quality frameworks - Experience working in a SaaS or product-led organization - Comfort informally mentoring or sharing knowledge with peers on the team Why This Role Matters This role is central to making trusted, high-quality data accessible to the people who need it most. As a senior analytics partner embedded in the Operational Intelligence team, you will directly enable Product and Customer Success teams to make faster, more informed decisions by delivering reliable reporting, well-governed data models, and self-service capabilities that reduce their dependence on ad hoc analysis requests. What Success Looks Like - Product and Customer Success teams can independently answer key business questions using trusted, well-documented data - Core KPIs are consistently delivered through reliable, well-governed dashboards that senior leadership trusts - Key metrics are clearly defined, documented, and consistent across reporting - Operating mechanisms including business reviews and executive reporting cycles are supported with accurate, timely data - Self-service analytics adoption grows meaningfully across the organization - Contributions to the central dbt model are well-documented, tested, and aligned with enterprise standards At Quickbase, we believe in pay transparency and are committed to equitable pay practices. The compensation range for this role is $84,000-$132,000 per year. The exact compensation offered will be based on experience, skills, and alignment with internal equity. Beyond salary, employees receive bonus/commission eligibility and access to a full benefits package including health insurance, 401k, paid time off, etc.