> Markdown version of [/jobs/ext/567064-data-analytics-engineer](https://www.wearedevelopers.com/jobs/ext/567064-data-analytics-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analytics Engineer - **Company:** Gravity Hair Salon, LLC - **Location:** United States (Remote available) - **Experience:** Experienced - **Salary:** $100,000.0 - $120,000.0 - **Contract:** Permanent contract - **Skills:** Business Analytics Applications, Data Analysis, Business Logic, Information Engineering, Data Transformation, Data Structures, Data Visualization, Data Warehousing, Document-Oriented Databases, Python (Programming Language), Microsoft SQL Server, Power BI, Standard Sql, SQL Databases, Tableau (Software), Cloud Platform System, Sql Optimization, Snowflake, Data Analytics, Data Pipelines - **Published:** June 5, 2026 - **Apply:** https://www.gravityitresources.com/job/9271-data-analytics-engineer-utah/ ## About the Role * Bachelor's degree in Computer Science, Information Systems, Data Analytics, Statistics, or a related field (or equivalent experience). * 3+ years of experience in data analytics, analytics engineering, business intelligence, or related disciplines. * Advanced SQL skills and experience working with large relational datasets. * Strong Python development and data analysis experience. * Experience designing and maintaining analytical data models and schemas. * Proficiency with BI and visualization tools such as Power BI or Tableau. * Strong communication skills with the ability to work independently and influence stakeholders through data-driven recommendations. Nice to Have Experience: * Experience with Microsoft SQL Server. * Experience with Snowflake or cloud-based data platforms. * Knowledge of data warehousing concepts, including dimensional and normalized modeling. * Exposure to large-scale data pipelines and modern analytics architectures., Employment Eligibility: Gravity cannot transfer nor sponsor a work visa for this position. Applicants must be eligible to work in the U.S. for any employer directly (we are not open to contract or "corp to corp" agreements)., * Bachelor's degree in Computer Science, Information Systems, Data Analytics, Statistics, or a related field (or equivalent experience). * 3+ years of experience in data analytics, analytics engineering, business intelligence, or related disciplines. * Advanced SQL skills and experience working with large relational datasets. * Strong Python development and data analysis experience. * Experience designing and maintaining analytical data models and schemas. * Proficiency with BI and visualization tools such as Power BI or Tableau. * Strong communication skills with the ability to work independently and influence stakeholders through data-driven recommendations. Nice to Have Experience: * Experience with Microsoft SQL Server. * Experience with Snowflake or cloud-based data platforms. * Knowledge of data warehousing concepts, including dimensional and normalized modeling. * Exposure to large-scale data pipelines and modern analytics architectures. Employment Eligibility: Gravity cannot transfer nor sponsor a work visa for this position. Applicants must be eligible to work in the U.S. for any employer directly (we are not open to contract or "corp to corp" agreements). ## Description We are seeking a Data Analytics Engineer to serve as the bridge between data engineering and business intelligence, transforming complex data into meaningful insights that drive business decisions. This role will be embedded with the Business Intelligence team while operating within the IT organization, partnering closely with data engineers, business stakeholders, and BI analysts to design data models, optimize data structures, and deliver scalable analytics solutions. The ideal candidate combines strong SQL and Python skills with a business-oriented mindset, leveraging data to develop hypotheses, uncover trends, and create actionable intelligence rather than simply producing reports., * Partner closely with Business Intelligence and business stakeholders to understand analytical needs and translate them into scalable data solutions. * Design, develop, and maintain analytical data models built on top of enterprise data pipelines. * Transform complex datasets into meaningful insights that support strategic decision-making. * Develop and optimize SQL queries, data transformations, and Python-based analytics solutions. * Collaborate with data engineering teams to enhance data structures and improve data accessibility. * Ensure data quality, integrity, and consistency across reporting and analytics environments. * Collaborate with BI Team as they build dashboards, reports, and visualizations using tools such as Power BI or Tableau. * Identify trends, patterns, and opportunities through data analysis and modeling. * Document data definitions, business logic, and analytical processes. ## Related Videos - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) - [Data Science, ML & AI in the Oil and Gas Industry at NDT Global - Dr. Katja Träumner](https://www.wearedevelopers.com/videos/1308-data-science-ml-ai-in-the-oil-and-gas-industry-at-ndt-global-dr-katja-traumner) - [REST, GraphQL, gRPC, and more: A comparison of modern API styles](https://www.wearedevelopers.com/videos/100247-rest-graphql-grpc-and-more-a-comparison-of-modern-api-styles) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany)