Job Closed
This listing is no longer active.
Lean Tech is a rapidly expanding organization situated in Medellín, Colombia. We pride ourselves on possessing one of the most influential networks within software development and IT services for the entertainment, financial, and logistics sectors. Our corporate projections offer many opportunities for professionals to elevate their careers and experience substantial growth. Joining our team means engaging with expansive engineering teams across Latin America and the United States, contributing to cutting-edge developments in multiple industries.
Mid+ Data Analyst
Location
Brazil
Posted
63 days ago
Salary
0
Seniority
Mid Level
Job Description
Mid+ Data Analyst
Lean Solutions Group
Company Overview At Lean Tech, we are dedicated to building sophisticated and scalable digital solutions. As a forward-thinking organization, we are undertaking a significant strategic initiative to modernize our data infrastructure, migrating from a custom legacy stack to a state-of-the-art, cloud-based platform. Our culture is rooted in collaboration, continuous learning, and adaptability, fostering a dynamic and global team environment where engineers are empowered to solve complex challenges and uphold high engineering standards. Position: Mid+ Level Data Analyst Location: Remote - Colombia Position Overview We are seeking a Mid+ Data Analyst with a strong Data Engineering focus to bridge the gap between complex data infrastructure and actionable business intelligence. This role is designed for an analytical professional who is comfortable working end-to-end: from building and optimizing the ETL pipelines that feed our ecosystem to designing advanced, high-impact dashboards for business stakeholders. You will work closely with cross-functional teams to ensure that our data is not only robust and highly available but also translated into intuitive visualizations and models that drive strategic decision-making. Your responsibilities will include: - Advanced Visualization: Build and develop complex Power BI dashboards and reports, applying data visualization best practices to ensure they are intuitive, performant, and business-focused. - Analytics Modeling: Design and optimize analytics-ready data models in Snowflake, using dbt to ensure data is structured correctly for high-level reporting and self-service BI. - Pipeline Ownership: Design and develop scalable data pipelines and workflows using Airflow to ensure the timely delivery of data for analysis. - Data Ingestion & Transformation: Maintain and optimize ETL processes using Python and SQL to extract data from multiple sources and load it into our analytics environment. - Insight Generation: Monitor and analyze data quality, consistency, and reliability across systems to ensure business stakeholders are making decisions based on accurate information. - Collaborative Optimization: Work with application and product teams to optimize normalized transactional data structures in PostgreSQL for better reporting performance. - Technical Troubleshooting: Proactively monitor and optimize analytics workloads and data pipelines to minimize downtime and improve dashboard latency. - Cross-functional Integration: Act as the technical link between Data Science, Product, and Business teams to ensure seamless data integration and alignment with business requirements. Required Skills & Experience - Bachelor’s degree in Systems Engineering, Computer Science, or a related field with 4+ years of experience in Data/Analytics Engineering or Data Analysis. - Power BI (Advanced): Expert-level proficiency in DAX, data modeling, performance optimization, and designing business-ready dashboards. - Snowflake & dbt: Proven experience building analytics-ready models, including testing, documentation, and SQL query optimization. - SQL & Python: Strong programming skills for data manipulation, analysis, and pipeline scripting. - AWS: Hands-on experience with S3 and RDS (PostgreSQL) for data storage and management. - Orchestration: Experience using Airflow to automate and monitor the data workflows that power your reports. - Databases: Solid understanding of PostgreSQL, including transactional data modeling and optimization for analytics. - ETL/ELT: Practical experience designing and maintaining data pipelines for large, complex datasets. Nice to Have Skills - Experience using JavaScript, HTML, and CSS for: ○ Dashboard customization ○ Embedded analytics ○ Supporting low-code / no-code solutions when required - Familiarity with low-code / no-code platforms (e.g., Lovable or similar). Soft Skills - Experience working closely with business stakeholders and translating requirements into data solutions. - Strong analytical mindset and attention to detail. - Proactive, go-getter mentality. - Trustworthy and dependable. - Strong communication and interpersonal skills. - Ability to adapt and thrive in dynamic, fast-paced environments. - Comfortable collaborating across technical and non-technical teams. - Accountability. Why You Will Love Working with Us: Join a powerful tech workforce and help us change the world through technology. Professional development opportunities with international customers, a collaborative work environment, a career path, and mentorship programs that will lead to new levels. Join Lean Tech and contribute to shaping the data landscape within a dynamic and growing organization. Your skills will be honed, and your contributions will play a vital role in our continued success. Lean Tech is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Related Guides
Related Categories
Related Job Pages
More Data Analyst Jobs
Location: Remote (US & European Hours) Nivoda: Where Innovation and Gemstones Meet At Nivoda, we are passionate about empowering jewelry retailers and gemstone suppliers to thrive in today's dynamic market. As the leading B2B diamond and gemstone marketplace, we are dedicated to providing an exceptional platform that connects jewellery businesses of all sizes with the global diamond supply. Our team of over 500 dedicated employees, many with a wealth of industry experience, have meticulously developed our award-winning platform that addresses the unique challenges of the jewellery sector. With Nivoda, you can buy and sell diamonds securely, efficiently, hassle-free, and at the most competitive prices. Our Mission 💎 The idea of Nivoda was inspired by the ongoing inefficiency of diamond trading. We set out to develop the solution to help businesses, regardless of their size or location, increase their sales and margins, whilst removing the operational burden of sourcing diamonds. About the Role ⭐️ We’re hiring a GTM Analyst to partner closely with our RevOps Leader and help build the analytical foundation of Nivoda’s revenue engine. This role is for someone who loves understanding how growth really works; where deals get stuck, why conversion moves, and how small system or process changes can unlock outsized revenue impact. You’ll sit across Sales, Marketing, and Customer Success, turning raw GTM data into insights, dashboards, and recommendations that directly influence decisions at every level of the business. This is an execution-first, problem-solving role with real ownership and visibility - ideal for someone who wants to grow into senior RevOps, GTM strategy, or revenue leadership over time. What would you be doing? 🤔 1. Turn GTM Data Into Clarity Build visibility across the entire revenue funnel: - Own core GTM dashboards across lead → opportunity → revenue → retention. - Track funnel performance, conversion rates, sales velocity, pipeline health, and forecast accuracy. - Proactively surface insights; not just what’s happening, but where the bottlenecks and opportunities are. Your impact: Leadership and GTM teams have a single, trusted source of truth for performance and priorities. 2. Support Funnel Optimisation Help make the revenue funnel perform like a machine: - Analyse funnel drop-offs, slowdowns, and inconsistencies across regions and segments. - Partner with RevOps to measure the impact of new lead routing, scoring, automation, and experiments. - Monitor performance of GTM initiatives and flag early signals - good or bad. Your impact: Faster feedback loops and measurable improvements in conversion and velocity. 3. Forecasting & Performance Tracking Bring rigor and insight to revenue planning: - Support weekly, monthly, and quarterly forecasting alongside RevOps, Sales, and Finance. - Track actuals vs forecast and help identify root causes of variance. - Build views that help teams understand performance against targets in real time. Your impact: More predictable outcomes and fewer surprises. 4. Data, Systems & Foundations Help scale clean, reliable GTM data: - Work hands-on with CRM and GTM data to ensure accuracy, consistency, and usability. - Maintain clear metric definitions and reporting logic as the business scales. - Partner with RevOps on improving dashboards, data models, and automation outputs. Your impact: Clean data that teams actually trust and use. 5. Strategic & Ad-Hoc Analysis Support high-impact GTM decisions: - Build analyses for territory planning, segmentation, capacity modeling, and performance benchmarking. - Support leadership questions with fast, thoughtful analysis. - Act as an analytical thought partner to RevOps as the GTM model evolves. Your impact: Better decisions, backed by evidence instead of instinct alone. What do we need from you? 😎 - 3-5+ years experience in a GTM analytics, RevOps, Sales Ops, Growth, or Strategy role. - Strong analytical mindset. Comfortable working with messy data and ambiguous questions. - Experience working with CRM data and building dashboards or performance reports - Salesforce experience is a strong plus. - Commercially minded with strong business instinct - you don’t just report numbers, you understand why they matter and design insights that change behaviour and move revenue. - Clear communicator - able to explain insights to operators and senior stakeholders. - Curious, proactive, and comfortable in fast-moving environments. Nice to Have - Experience in a high-growth B2B SaaS or marketplace business. - Exposure to BI tools, SQL, or advanced analytics. - Familiarity with Sales, Marketing, or CS workflows. What Success Looks Like - GTM dashboards are accurate, trusted, and used weekly by leadership. - Funnel and performance issues are spotted early - not after revenue is missed. - Forecasting becomes more accurate and easier to manage. - RevOps can move faster because analytical groundwork is already in place. - GTM teams feel aligned, informed, and focused on the right levers. Why Nivoda - Work directly with a senior RevOps leader building the function from the ground up. - High visibility and exposure to CRO, Sales, and Finance leadership. - Real ownership, real impact, and fast learning. - Join a hyper-growth company transforming a global industry. Our culture and what we offer 😉 At Nivoda, we believe that employees today want to evolve in a collaborative, high-growth environment where they can demonstrate their abilities and thrive both professionally and personally. We are convinced that employees need to find alignment between their inner values and their company’s culture and mission to unlock their full potential. We work to create a culture of empowerment, continuous learning and growth where everyone can bring expertise, own projects and easily measure their impact. Dynamic working environment in a rapidly growing company. Enjoy a pleasant, low-hierarchy work environment. Engage in intellectually challenging work that contributes significantly to Nivoda’s success and scalability. Our current benefits 🕰️ Flexible working hours and a vibrant company culture 💻 Remote work 🏥 Private health insurance to keep you at your peak 🧠 Plenty of opportunities for growth and learning 💳 Flexible compensation card for meals, transport and childcare 🏖️ Unlimited holiday allowance 🚀 Chance to join and contribute to a company during its exponential expansion phase Nivoda is proud to be an equal opportunity workplace dedicated to promoting diversity. We don’t discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status. Even if it seems you don't meet 100% of our musts don't let it stop you, we are all about finding the best talent out there! Skills can be learned, and embracing diversity is invaluable. Please note: Our Talent Acquisition Team is international coming from across the world. We kindly ask you to please submit your CV and application in English so that it can be reviewed correctly. *If after reading this job description you believe this is not the best fit for you, we’d encourage you to join our Talent Pool so we can keep you in mind as new roles open up. You can sign up here: Nivoda Talent Pool This ensures you're among the first to hear about openings aligned with your skills and interests.
Data Analyst II Healthcare Analytics
Centene CorporationTransforming the health of the communities we serve, one person at a time.
You could be the one who changes everything for our 28 million members. Centene is transforming the health of our communities, one person at a time. As a diversified, national organization, you’ll have access to competitive benefits including a fresh perspective on workplace flexibility. Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. Sponsorship and future sponsorship are not available for this opportunity, including employment-based visa types H-1B, L-1, O-1, H-1B1, F-1, J-1, OPT, or CPT. Position Purpose: Analyze integrated and extensive datasets to extract value, which directly impacts and influences business decisions. Work collaboratively with key business stakeholders to identify areas of value, develop solutions, and deliver insights to reduce overall cost of care for members and improve their clinical outcomes. - Interpret and analyze data from multiple sources including healthcare provider, member/patient, and third-party data - Support execution of large-scale projects with limited direction from leadership - Identify and perform root-cause analysis of data irregularities and present findings and proposed solutions to leadership and/or customers - Manage multiple, variable tasks and data review processes with limited supervision within targeted timelines - Support the design, testing, and implementation of process enhancements and identify opportunities for automation - Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how customers interact with analytic products - Support multiple functions and levels of the organization and effectively, both verbally and visually, communicate findings and insights to non-technical business partners - Independently engage with customers and business partners to gather requirements and validate results - Communicate and present data-driven insights and recommendations to both internal and external stakeholders, soliciting and incorporating feedback when required - Performs other duties as assigned - Complies with all policies and standards Education/Experience: Bachelor’s degree in business, economics, statistics, mathematics, actuarial science, public health, health informatics, healthcare administration, finance or related field or equivalent experience. 2+ years of experience working with large databases, data verification, and data management, or 1+ years IT experience. Healthcare analytics experience preferred. Working knowledge of SQL/query languages. Preferred knowledge of programmatic coding languages such as Python and R. Knowledge of statistical, analytical, or data mining techniques including basic data modeling, trend analysis, and root-cause analysis preferred. Preferred knowledge of modern business intelligence and visualization tools. Experience in emerging trend analysis, financial modeling, claims pricing, contract/network analysis, and/or ROI evaluation preferred. Familiarity with claims payment, utilization management, provider/vendor contracts, risk adjustment for government sponsored healthcare desired. By applying to this requisition, you acknowledge and understand that you may be considered for other job opportunities for which Centene believes you may be qualified. Pay Range: $56,200.00 - $101,000.00 per year Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full-time or part-time status. Total compensation may also include additional forms of incentives. Benefits may be subject to program eligibility. Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law. Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act
Senior Data Analytics and Automation Analyst
Radiology PartnersRadiology Partners, through its owned and affiliated practices, is a leading radiology practice in the U.S.
• Provide technical expertise as a subject matter expert within Data Analytics and Automation team • Work independently on complex projects while mentoring junior team members • Deliver high-quality analytics solutions and drive process automation • Collaborate with stakeholders for requirements gathering and analytics design • Present findings and automated solutions to stakeholders • Design and build Alteryx workflows and Tableau dashboards • Execute data validation for SAP cloning migration • Develop and refine complex P&L reporting structures and automated financial models
• Drive insights: Understand funnels, ecosystems, user behaviors, and long-term trends in the adoption of our products to identify opportunities for step-changes of specific customer segments. • Metric Definition: Define and analyze key metrics that reflect the success of products and allow us to monitor the health of product adoption in the markets we serve. • Growth Opportunities: Identify growth opportunities, remove barriers for product adoption, retention, engagement, and/or monetization by quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our merchants and consumers interact with Booksy products. • Reporting: Prepare, monitor and adjust reports and reporting tools to best contribute to Product Team results. • Collaboration: Cooperate with Product Teams to support them in their product related decisions based on data. • Process automation: Lead efforts to automate data management and reporting processes, working closely with Business Intelligence Analysts and Data Engineers to enhance efficiency. • Ownership: Take ownership of the more complex business challenges, owning them end to end with minimal levels of support. • Collaboration with stakeholders: Consulting with senior stakeholders across the organisation to understand their business needs and determine the best data / analytics approach delivering value from our data in a clear and actionable manner. • Co-responsible for driving the development of the domain and mentoring less experienced analysts.



