Remote Data Jobs

• Design and build dashboards and self-service tooling in Looker.
• Suggest and perform analysis of landing pages, A/B test, audiences, segments, ads, and creatives.
• Drive target audience segmentation, attribution modeling, lead generation analytics, paid and unpaid channels optimizations.

• Rebuild and own the Commercial reporting stack, from static spreadsheets to living Tableau dashboards.
• Translate noise into insight, spotting revenue leaks, performance drops, and what’s really driving client value.
• Partner with Sales, Account Management, and BI, focusing on shared goals and real outcomes.

The Customer Solution Architects (CSA) are integral in helping customers through all three phases of their journey - Onboarding, Adoption and Innovation. The CSA team works closely with the Customer Success Manager as well as Customer teams to onboard customers onto Atlan, drive Atlan adoption through Value Streams and use the power of Active Metadata to automate and innovate. As part of the the CSA team, you will build expertise in tools in the Modern Data Stack and be the trusted advisor to help and guide Customer stakeholders.

• Scale the corporate People Data Warehouse to support analytics across multiple teams.
• Build and maintain ETL pipelines using Hive, Spark, or other MPP database architectures.
• Identify, diagnose, and resolve complex data issues.

• Interrogate data in Google Big Query and develop data pipelines for analysis and reporting.
• Build reports and dashboards using Looker Studio.
• Be accountable for servicing information to our operations managers and team leaders.

Design and maintain ETL/ELT pipelines in Databricks. Build Power BI dashboards for executive audiences. Collaborate with analysts and leadership to deliver actionable solutions.

• Develop and operate modern data architecture approaches to meet key business objectives.
• Develop intricate data processing pipelines, addressing clients' most challenging problems.
• Collaborate with data scientists to design scalable implementations of their models.

• Analyze blockchain and payments data at scale.
• Build and maintain automated data models and ETL pipelines using SQL, Python, Airflow, and dbt.
• Design dashboards that reveal trends across user growth, capital movement, and transaction health.

• Label and rank machine learning data to ensure data integrity and quality.
• Audit and correct any inaccuracies in language data, maintaining the highest standard of data accuracy.
• Efficiently complete reading and text-based assignments with high attention to detail.

• Gather, analyze, and document requirements from multiple stakeholders.
• Write detailed user stories with well-defined acceptance criteria.
• Collaborate with clients to define priorities and manage expectations.