Job Closed
This listing is no longer active.
Analytics Engineer
Location
United States
Posted
77 days ago
Salary
$140K - $170K / year
Seniority
Senior
Job Description
Analytics Engineer
Industrial Manufacturing
• The Analytics Engineer sits at the heart of IEM's modern data stack, turning raw source data into the clean, well-modeled, business-ready datasets that power Tableau dashboards, executive decisions, and self-service analytics across Finance, Production, Supply Chain, and Engineering. • Working primarily in dbt and Snowflake, you own the transformation layer between ingestion and the BI surface: staging models, intermediate logic, dimensional models, tests, and documentation. • This is a hands-on individual contributor role with real ownership of production data models and a clear path into senior and principal analytics engineering as the team grows. • Partner with cross-functional stakeholders and the Business Intelligence team (Finance, Production, Supply Chain, Engineering) to translate operational needs into scalable data models and reliable metrics. • Author and maintain dbt tests, monitor freshness, investigate data quality issues end-to-end, and own resolution through to root cause. • Design, build, test, and document dbt models that turn raw Snowflake data into clean, reliable, analytics-ready datasets across Finance, Production, Supply Chain, and Engineering. • Build conformed dimensions, fact tables, and reporting models that balance performance, maintainability, and business user accessibility for Tableau dashboards and ad-hoc analysis.
Job Requirements
- Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or a related field (or equivalent experience)
- 4–6 years of experience in analytics engineering, data engineering, or BI development, including ownership of production data models
- Strong SQL skills with experience in data transformation, complex querying, and performance optimization on large datasets
- Hands-on experience with dbt, including incremental models, tests, macros, snapshots, and documentation
- Experience working with Snowflake or a comparable cloud data warehouse, along with familiarity with ELT tools (e.g., Fivetran)
- Solid understanding of dimensional modeling (grain, surrogate keys, slowly changing dimensions, star schemas)
- Working knowledge of Python for data processing, scripting, or lightweight integrations
- Familiarity with Tableau or similar BI tools, with an understanding of how data structure impacts performance
- Experience with Git and modern development practices, including code reviews and CI/CD workflows
- Strong communication skills, with the ability to translate technical concepts for business stakeholders and gather requirements effectively
- A collaborative team player who is open to training, mentoring, and working closely with non-technical stakeholders
- Self-motivated and able to work independently while collaborating across distributed teams
- Experience leveraging AI coding assistants (e.g., Copilot, Claude) to support analytics engineering tasks such as SQL development, dbt modeling, testing, and documentation.
Benefits
- Comprehensive and competitive benefits package designed to support our employees' well-being, growth, and long-term success.
Related Guides
Related Categories
Related Job Pages
More Analytics Engineer Jobs
Analytics Engineer II, Identity
Spring HealthPrecise. Personal. Proven. The most comprehensive mental health care for teams and families everywhere.
• Please insert job responsibilities here
Manager, Data & Analytics Engineering
Coupa SoftwareSpend is the fuel to help your company deliver performance, profitability, and purpose!
• Lead, mentor, and grow a team of data and analytics engineers • Own the curation, transformation, and delivery of analytics-ready data models • Build and maintain trusted, governed data assets • Oversee the development and delivery of Tableau and Sigma dashboards • Communicate technical roadmaps and delivery timelines to stakeholders
Analytics Engineer
DextDext provides powerful bookkeeping software designed to help accountants, bookkeepers, and small businesses automate financial data management by simplifying th
• Build and maintain high-quality data models that support reporting and analytics across the business • Transform and model new data sources using dbt, aligning with our data strategy and modelling standards • Partner with teams across the company to understand their data needs and enable data-driven decision making • Write clean, scalable SQL and contribute to sustainable, well-structured analytics code • Contribute to the continuous improvement of analytics engineering standards, documentation, and development workflows
Analytics Engineer
DextDext provides powerful bookkeeping software designed to help accountants, bookkeepers, and small businesses automate financial data management by simplifying th
Role Description This role is remote but based in Bulgaria. Applicants must reside in Bulgaria and have a valid right to work in the country. Dext does not provide visa or work-permit sponsorship for this position. Employment is conditional upon verification of identity, residence, and right-to-work documentation in accordance with applicable Bulgarian legislation. Our suite of tools improves the productivity, profitability, and influence of accountants by giving them back their most valuable asset: time. This allows them to focus on delivering meaningful value to their clients. Accountants and bookkeepers are the backbone of every successful business. For more than a decade we have supported them with technology that improves how businesses operate. Dext equips partners to address today’s challenges while preparing for what comes next. More than 600,000 businesses use Dext, and our platform processes billions of documents every year. Artificial intelligence has been a core part of our product for years, and we are now expanding how we apply it across the company. Architecture & stackData & analytics stack: This role works with a modern analytics stack designed for scalability, reliability, and collaboration. - Core technologies include: - Data warehousing: Snowflake and cloud-based data platforms - Transformation & modelling: dbt, SQL, analytics engineering best practices - Development workflow: Git, collaborative code review workflows, reusable macros and modular analytics development You will contribute to the data foundations that support reporting, operational insights, and strategic decision making across Dext. This position is part of Dext’s data function, working closely with teams across the business to deliver reliable, well-structured analytics and reporting capabilities. - You will partner with stakeholders across Product, Finance, Sales, Customer Success, Marketing, and Operations to understand data needs and help drive data-informed decisions. - The team values thoughtful problem solving, sustainable development practices, and clear communication. - Impact is measured through business outcomes such as: - Improved reporting quality and reliability - Faster access to trusted data - Better decision making across teams - Reduced manual reporting effort - Scalable and maintainable analytics models What you’ll do: - Build and maintain high-quality data models that support reporting and analytics across the business - Transform and model new data sources using dbt, aligning with our data strategy and modelling standards - Partner with teams across the company to understand their data needs and enable data-driven decision making - Write clean, scalable SQL and contribute to sustainable, well-structured analytics code - Contribute to the continuous improvement of analytics engineering standards, documentation, and development workflows Qualifications - Strong SQL skills - Experience with data modelling and using dbt - Experience working with Snowflake or another cloud data warehouse - Understanding of Git and collaborative Git-based workflows - Experience using macros or reusable patterns to improve analytics code quality and consistency - Ability to explain technical concepts clearly to non-technical stakeholders - Approach problems with curiosity and practical judgement Requirements - Enjoy solving problems and working with data to drive real business impact - Be proactive, curious, and eager to keep learning - Enjoy working in a fast-moving, collaborative environment - Care about building sustainable and scalable analytics solutions Benefits - 25+1 days of paid time off (25 days plus your birthday) - Remote work within Bulgaria - Flexible working arrangements - Volunteer days - Personal learning budget - Generous parental leave - Additional health insurance - Life insurance - Well-being benefits We aim to maintain a calm and sustainable working environment where people can focus, learn, and do their best work. If you are interested, please apply using the button below. Confidentiality of all applications is assured. Only shortlisted candidates will be contacted.


