Analytics Engineer - Business Intelligence

Why Work for Saddle Creek?

Saddle Creek Logistics Services succeeds by promoting a diverse, friendly, and respectful teamwork environment. As a vital service provider, we not only make a difference in our community but offer our associates opportunities to enhance their skills, build meaningful careers and end each day with a sense of accomplishment. If you’re looking for a family-oriented company that lives by its values and offers competitive pay and benefits, join our team today.

Note that if you are viewing this posting on an external job board (such as Indeed, LinkedIn,  ZipRecruiter, etc.), unless specifically stated in the posting, the provided salary estimates may not be accurate as they are not provided by Saddle Creek. Our recruiters look forward to speaking with you about your background, skills, and compensation requirements.

What does a day in the life of an Analytics Engineer look like?

Analytics Engineer is a hybrid of a Data Engineer and Business Analyst who bridges the gap by building scalable, impactful data solutions. They transform raw data into actionable insights through robust pipelines, well-designed data models, and tools that empower stakeholders across the organization to make data-driven decisions. Our team combines technical expertise with a deep understanding of the business to unlock the full potential of our data. We prioritize data quality, reliability, and usability, ensuring stakeholders can rely on our data to drive meaningful outcomes. As an Analytics Engineer, you'll have the autonomy to contribute to challenging projects and lean into collaboration across the company. Leveraging your extensive technological expertise, domain knowledge, and dedication to business objectives, you'll drive innovation to propel Saddle Creek Logistics forward.

As our new Analytics Engineer, you will report to the Manager of Business Intelligence and work directly with corporate information services (IS) to complete or lead tactical and strategic initiatives. Within this role, a key drivers and responsibilities will be to lead the knowledge sharing and consulting process for all other members of the team.

Primary Responsibilities

· Work with cross-functional stakeholders in defining and documenting company-wide single source of truth data models that power analysis throughout the enterprise

· Architect, build, publish, and maintain performant and reliable data models and pipelines to power self-service data consumption throughout the enterprise

· Empower stakeholders by translating business requirements into scalable data models, dashboards, and tools

· Partner with business teams to ensure alignment on priorities and data solutions

· Drive data quality by transforming dynamic data and business logic into consistent and trustworthy datasets

· Develop and evangelize development standards and best practices for data modeling and working with our data and tools

· Use modern development and analytics tools to deliver value quickly, while ensuring long-term maintainability

Qualifications

· Bachelor’s Degree or equivalent experience is required (Computer Science, Management Information Systems, Data Science, Business Analytics, Supply Chain Management)

· 5+ years building data pipelines leveraging common languages such as dbt, SQL, Spark, Python, etc.

· 5+ years of hands-on experience working in a modern cloud environment (AWS, GCP, Azure) leveraging modern data structures and services (file storage, RDMS, streaming services, ELT, etc.)

· 2+ years of hands-on experience working with modern data lake house software and structures Databricks preferred; Snowflake considered

· Experience designing and deploying data products as part of a modern analytics cloud platform

· Have working knowledge of process management and project management life cycle

· Have ability to learn, understand, and apply new technologies and development processes

· Ability to breakdown multiple complex asks and deliver solutions with agility

· Perform as an effective contributor in a team-oriented environment and accomplish desired results with a high degree of quality

· Excellent verbal and written communication skills

Our Technology Stack

· Ingestion: Fivetran, Azure Synapse

· Data Warehouse: Databricks

· Transformation: dbt, Databricks

· BI: Sigma, Microstrategy

· Cloud: Azure

Nice to Have:

· Business experience in the supply chain industry and multiple industry verticals

· Agile scrum methodology experience

· Advanced degree in supply chain or other related field

· Databricks Certified Data Engineer

· Databricks Certified Data Analyst

· dbt Analytics Engineering Certification

· dbt Cloud Administrator Certification

#LI-AH1

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Benefits:

• Benefits package including medical, dental, vision, HSA, and medical reimbursement

• Annual bonus eligibility

• 401(k) match

• Vacation and holiday pay

• Employee assistance and identity theft protection

• Career development and opportunity for internal promotions

• Tuition reimbursement for further education

• Company paid life insurance and short term disability

Saddle Creek is an Equal Opportunity/Affirmative Action employer. We provide equal employment opportunities to applicants and existing associates and evaluate qualified candidates without regard to race, gender, national origin, ancestry, age, color, religious creed, marital status, genetic information, sexual orientation, gender identity, gender expression, sex (including pregnancy, breastfeeding and related medical conditions), mental or physical disability, medical condition, military and veteran status or any other status or condition protected by applicable federal, state, or local laws, governmental regulations and executive orders. View the EEO poster here. View the Pay Transparency Nondiscrimination Provision here. View the E-Verify Posting here.

Saddle Creek is committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability to search and apply for a career opportunity, please send an e-mail to [email protected] and let us know your contact information and the nature of your request.