📌 Position: Senior Data Analyst / BI Analyst
Location: Remote from LATAM
Contract Type: Full-time vendor (Contract directly with In All Media)
Time Zone Alignment: US Central Time (CT) overlap (6+ hours)
🧭 About In All Media
In All Media is a global technology and design firm focused on building impactful digital solutions through remote, distributed teams across LATAM. We partner with international clients across industries, providing long-term technical expertise, product innovation, and team augmentation. Contract Details: This is a 100% remote contractor position open to talent anywhere in LATAM. Your contract and engagement will be directly managed with In All Media.
🚀 Project Overview
This engagement focuses on modernizing, scaling, and maintaining enterprise business intelligence and data analytics environments. The core objective is to transform raw corporate data into actionable strategic insights, build performant analytical models, design production-grade reporting dashboards, and partner directly with business stakeholders to drive data-informed operations.
🔍 Key Responsibilities
Dashboarding & Reporting: Design, build, and deploy production dashboards and interactive reporting suites using enterprise platforms like Tableau, Looker, or Power BI.
Advanced Query Optimization: Write, maintain, and optimize complex, high-performing SQL queries, window functions, and CTEs to extract and transform large-scale datasets.
Stakeholder Collaboration: Partner with business teams to define key performance indicators (KPIs), translate complex requirements into technical solutions, and deliver actionable insights.
Cloud Data Analytics: Query, validate, and analyze enterprise data hosted across cloud data warehouses and analytical platforms like Snowflake, Databricks, or BigQuery.
Agile Execution & Delivery: Independently manage analytical tasks within active Agile delivery sprints, ensuring high data accuracy and cross-functional alignment.
💡 Must-Have Skills
Experience Level: 5+ years of hands-on experience as a Data Analyst or BI Analyst in an enterprise setting.
Advanced SQL: Expertise in writing complex, highly performant SQL queries (window functions, aggregations, CTEs) for data extraction and transformation.
Enterprise BI Tools: Proven experience building production dashboards using enterprise reporting platforms (e.g., Tableau, Looker, or Power BI).
Cloud Data Platforms: Hands-on experience working with enterprise cloud data warehouses and analytical platforms (e.g., Snowflake, Databricks, BigQuery).
Data Analysis & Stakeholder Collaboration: Strong analytical skills paired with a track record of partnering with business teams to deliver actionable insights.
🌟 Nice-to-Have Skills
Scripting Languages: Experience using Python or R for exploratory data analysis, data manipulation, and automation scripts.
Cloud Ecosystems: Familiarity with AWS (Amazon Web Services) or other enterprise cloud infrastructure environments.
Data Engineering Literacy: Practical understanding of dimensional data modeling concepts and ETL (Extract, Transform, Load) / ELT data pipeline architectures.
🌐 Time Zone & Collaboration
This role requires a minimum overlap of 6 hours with US Central Time (CT) business hours during a standard 8-hour workday to collaborate effectively with distributed engineering and business teams.
💬 Language
All interviews, technical documentation, daily team syncs, and operational communications will be conducted in English.
Skills Required
- 5+ years of hands-on experience as a Data Analyst or BI Analyst in an enterprise setting
- Advanced SQL expertise, including complex performant queries, window functions, aggregations, CTEs, data extraction, and transformation
- Experience building production dashboards with Tableau, Looker, or Power BI
- Hands-on experience with cloud data warehouses or analytical platforms such as Snowflake, Databricks, or BigQuery
- Strong data analysis skills and experience partnering with business stakeholders to deliver actionable insights
- Ability to overlap at least six hours with US Central Time during an eight-hour workday
- Professional English proficiency for interviews, documentation, meetings, and daily communications
- Experience with Python or R for exploratory analysis, data manipulation, or automation
- Familiarity with AWS or other enterprise cloud infrastructure environments
- Understanding of dimensional data modeling and ETL or ELT pipeline architectures
What We Do
In All Media is a cutting-edge technology and innovation consulting organization, facilitating digital transformation in multiple industries. We have partnered with top-tier organizations such as NBCUniversal, Sony DADC, Aclara Technologies, and Dun & Bradstreet, among other leading companies worldwide. In All Media harnesses the collaborative synergy of all our international talent pool using Agile methodologies, to deliver excellence efficiently and with the utmost quality. At In All Media, we believe in diversity and autonomy. Our new model brings together a global managed community, with experts guiding and managing talented engineers; working to bring together the best talent in the world, regardless of where they are. We are not only evolving in terms of technology, but also in terms of In All Media as a re-imagined technology consultancy in step with the Fourth Industrial Revolution. Our community of 200+ experts and engineers are very motivated by different challenges in their field, and apply continuous learning to stay ahead of the curve in their expertise on new developments and innovative technologies. Our delivery model is based on Agile, On-site, and Near Shore capabilities to maximize team integration and provide the best value to our clients. We partner holistically with our clients in the co-creation of services and products, and follow streamlined Agile processes throughout. This makes In All Media a truly global company driven by a community of dedicated, talented individuals self-organizing into multi-disciplinary teams, producing the best possible output for our world-class clients. We're hiring! Email us your CV: [email protected] Contact Us: [email protected]
