Data Analyst

Insight Global; United States; Remote; USD 76,000 - 90,000; Full time

Job summary

Insight Global in the United States seeks a Senior Data Engineer / Analytics Engineer to bridge business needs and technical execution. You will own existing eCommerce and operational data processes, modernize manual solutions, and build scalable data pipelines, dashboards, and data applications.

You will work directly with business stakeholders to gather requirements, translate problems into technical solutions, and operate independently in a remote environment, delivering robust analytics

Qualifications

• Strong experience in Data Engineering or Analytics Engineering.
• Hands-on development with Python.
• Strong SQL skills.
• Experience designing data pipelines and ETL/ELT.
• Experience developing dashboards or data applications.
• Experience working with business stakeholders to gather requirements.
• Translate business problems into technical solutions.
• Experience with multiple data sources and transforming raw data into usable datasets.
• Troubleshooting production data and operational issues.
• Strong communication and problem-solving skills.
• Ability to work remotely in a self-directed manner.

Responsibilities

• Bridge business needs and technical execution for analytics solutions.
• Own eCommerce and operational data processes and modernize manual workstreams.
• Build scalable data pipelines, dashboards, and data applications.
• Collaborate with stakeholders to clarify requirements and deliver actionable analytics.
• Troubleshoot data quality and production issues in a distributed environment.

Skills

Python

SQL

ETL/ELT

Dashboards

Stakeholder communication

Data modeling

Tools

dbt

Snowflake

Streamlit

Job description

We are looking for a Senior Data Engineer / Analytics Engineer who can bridge the gap between business needs and technical execution. This role requires someone who is equally comfortable meeting with business stakeholders to understand operational challenges and requirements as they are rolling up their sleeves to build the technical solution. The ideal candidate will take ownership of existing eCommerce and operational data processes, help modernize processes that currently rely on manual or short-term solutions, and build scalable data pipelines, dashboards, and data applications.

Required Skills & Experience

• Strong experience in Data Engineering, Analytics Engineering, or a similar data-focused position.
• Strong hands-on development experience with Python.
• Strong SQL skills.
• Experience designing and developing data pipelines and ETL/ELT solutions.
• Experience developing dashboards, analytics solutions, or business-facing data applications.
• Demonstrated experience working directly with business stakeholders to gather and clarify requirements.
• Ability to understand a business problem and independently translate it into an appropriate technical solution.
• Experience working with multiple data sources and transforming raw data into usable datasets.
• Experience troubleshooting production data and operational issues.
• Strong communication and problem-solving skills.
• Ability to work effectively and independently in a remote environment.

Nice to Have Skills & Experience

• Strong Snowflake experience.
• Experience building applications or interactive dashboards using Streamlit.
• Experience with dbt for data transformation and modeling.
• Experience with Master Data Management (MDM) concepts or platforms.
• Previous experience supporting eCommerce, retail, product, or operational data.
• Experience automating manual business processes and developing self-service analytics solutions.

Pay Rate: $55.00-$65.00 an hour depending on skills and experience.