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Senior Data Analyst / BI

Role overview

Qualifications

  • 5+ years of hands-on experience as a Data Analyst or BI Analyst in an enterprise setting
  • Expertise in writing complex, highly performant SQL queries (window functions, aggregations, CTEs)
  • Proven experience building production dashboards using enterprise reporting platforms (e.g., Tableau, Looker, or Power BI)
  • Hands-on experience working with enterprise cloud data warehouses and analytical platforms (e.g., Snowflake, Databricks, BigQuery)

Responsibilities

  • Design, build, and deploy production dashboards and interactive reporting suites using enterprise platforms like Tableau, Looker, or Power BI
  • Write, maintain, and optimize complex, high-performing SQL queries, window functions, and CTEs to extract and transform large-scale datasets
  • Partner with business teams to define key performance indicators (KPIs), translate complex requirements into technical solutions, and deliver actionable insights
  • Query, validate, and analyze enterprise data hosted across cloud data warehouses and analytical platforms like Snowflake, Databricks, or BigQuery

About the company

In All Media logo

In All Media

IT Services & IT Consulting

In All Media is a trailblazing Nearshore Managed Service Provider, laser-focused on Team Augmentation for software development. We craft bespoke, highly specialized teams that effortlessly merge with our client's processes and culture, delivering unparalleled results. Our Austin headquarters anchors our global reach, with a diverse talent pool distributed across the Americas, Europe, and Asia. This allows us to execute our Nearshore model efficiently in all three regions. Since our inception, we have employed an agile, remote, and distributed model, allowing us to tap into the world's finest technical talent, regardless of location, adapting methodologies like SAFe to perfectly align with our client's needs. We source our exceptional talent from Coderfull, our exclusive community boasting over 5,000 rigorously vetted engineers. Our teams are formed and trained within this community, with specialized interest groups focusing on cutting-edge technologies making In All Media a true Community Lead Enterprise. Our Community teams have a proven track record of collaboration, in-depth knowledge of each other's strengths, and exceptional team dynamics. This synergy results in rapid onboarding, heightened productivity, and an unwavering commitment to success. Our teams embrace flexibility and benefit from a thriving community spirit, abundant career growth opportunities, and a stable compensation model. Our proprietary Community Management platform streamlines talent management, empowering them to efficiently handle daily work, career development, and administrative tasks. AI has captivated our community with its potential to revolutionize our industry so we are harnessing AI to augment, not replace, human skills investing heavily in AI tools, training, and partnerships, to increase our team’s productivity and guide our clients toward a future-ready AI adoption strategy. Experience the In All Media difference today.

Company details

IndustryIT Services & IT Consulting
Company size1001 - 5000

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Job description

📌 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.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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