Analytics Engineer - Business Intelligence
Analytics Engineer - Business Intelligence
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Job Description
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 youre looking for a familyoriented 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 salaryestimatesmay 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 welldesigned data models and tools that empower stakeholders across the organization to make datadriven 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 youll 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 youll 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 crossfunctional stakeholders in defining and documenting companywide 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 selfservice 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 longterm maintainability
Qualifications
Bachelors 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 handson 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 handson 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 teamoriented 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
#LIAH1
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Benefits:
Benefits packageincluding 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 posterhere. View the Pay Transparency Nondiscrimination Provisionhere. View the EVerify Postinghere.
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 email toand let us know your contact information and the nature of your request.
Employment Type
Full-Time
