Analytics Engineer

Knichel Logistics; Cranberry Township (Butler County); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Competitive compensation and benefits

On-site role in Cranberry Township, PA

Job summary

Knichel Logistics is seeking an Analytics Engineer to own the path from our Snowflake warehouse to Power BI reports used by finance, operations, sales, customers and carriers. This on-site role reports to the CFO and sits in Cranberry Township, PA.

The role builds and maintains the data warehouse, reporting models and a growing portfolio of internal reports, with responsibilities spanning data pipelines, star schema design, DAX calculations, and row-level security for controlled access.

Qualifications

• 3+ years of experience in data engineering, analytics engineering or BI development.
• Strong experience with a cloud data warehouse; Snowflake preferred.
• Advanced SQL, including window functions, CTEs and query performance tuning.
• 3+ years developing Power BI reports and semantic models (Desktop and Service).
• Advanced DAX, including evaluation context, time intelligence and complex calculation logic.
• Hands-on experience implementing row-level security.
• Solid understanding of dimensional modeling and data warehousing concepts.
• Working knowledge of financial data and metrics (revenue, cost, margin, accounts receivable).
• Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders.
• Bachelor's degree in Computer Science, Information Systems, Finance, Statistics or a related field, or equivalent experience.

Responsibilities

• Design, build and maintain data pipelines and transformation layers in Snowflake.
• Integrate data from operational systems, ERP/accounting, and third-party sources.
• Develop dimensional models (star schemas, fact and dimension tables).
• Centralize business rules and KPI definitions in the warehouse.
• Write efficient SQL; optimize deduplication, joins, null handling and performance.
• Support geospatial and distance-based analysis for lane and route optimization.

Skills

Advanced SQL

Strong communication skills

Dimensional modeling

Row‑level security

Education

Bachelor's degree in Computer Science, Information Systems, Finance, Statistics or a related field

Tools

Snowflake

Power BI

DAX

Power Query

Job description

Analytics Engineer

Location: Cranberry Township, Pennsylvania (On Site Position)

Job Type: Full-Time | Exempt

Applicants must be legally authorized to work in the United States at the time of hire. Knichel Logistics is not able to provide employment-based visa sponsorship or other employer-sponsored work authorization for this position, either now or in the future.

The Analytics Engineer will own the path from our Snowflake warehouse to the Power BI reports that finance, operations, sales, customers and carriers use every day. The role reports to the CFO.

Knichel is an intermodal marketing and freight brokerage company. Our data spans shipment and load activity, rail and truckload operations, carrier performance, customer quotes and billing, carrier settlements, and financial accounting. A small team builds and maintains this platform end to end; this position adds capacity and takes ownership of the data warehouse, the reporting models, and a growing portfolio of internal and external reports.

This is a builder's role. This position will write the Snowflake SQL, design the star schema, write the DAX, set up row-level security, and sit with the pricing desk or AR team to make sure the report answers the question they have.

POSITION REQUIREMENTS

Required Experience and Qualifications

• 3+ years of experience in data engineering, analytics engineering or BI development.
• Strong experience with a cloud data warehouse; Snowflake preferred.
• Advanced SQL, including window functions, CTEs and query performance tuning.
• 3+ years developing Power BI reports and semantic models (Desktop and Service).
• Advanced DAX, including evaluation context, time intelligence and complex calculation logic.
• Hands‑on experience implementing row‑level security.
• Solid understanding of dimensional modeling and data warehousing concepts.
• Working knowledge of financial data and metrics (revenue, cost, margin, accounts receivable).
• Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders.
• Bachelor's degree in Computer Science, Information Systems, Finance, Statistics or a related field, or equivalent experience.

Preferred Qualifications

• Experience in transportation, logistics, freight brokerage or intermodal.
• Experience with ERP/accounting systems (Sage Intacct a plus).
• Experience with Power Query, Power Automate and Dataverse.
• Experience distributing Power BI content to external users (guest access, embedded analytics, subscriptions).
• Experience with geospatial analysis and mapping visuals.
• Experience with dbt or similar transformation tools, and Git-based version control.
• Microsoft PL-300 or SnowPro Core certification.

DUTIES AND RESPONSIBILITIES

Data Engineering (Snowflake)

• Design, build and maintain data pipelines and transformation layers in a cloud data warehouse (Snowflake), following a layered (raw / curated / presentation) architecture.
• Integrate data from operational systems (TMS), accounting/ERP, and third‑party sources using managed ingestion tools.
• Develop dimensional models (star schemas, fact and dimension tables) at the appropriate grain for each business process.
• Centralize business rules and KPI definitions in the warehouse so every report uses a single, consistent definition.
• Write efficient, maintainable SQL; apply best practices for deduplication, join logic, null handling and performance.
• Support geospatial and distance‑based analysis for lane, network and route optimization use cases.

Power BI Development

• Build and maintain Power BI semantic models, including relationships, date tables and centralized measure libraries.
• Develop advanced DAX calculations: time intelligence, period‑over‑period comparisons, what‑if scenarios, segmentation and ranking.
• Design and implement row‑level security for internal role‑based access and for external customer and partner reporting.
• Manage the Power BI Service: workspaces, apps, scheduled and incremental refresh, deployment and report distribution.
• Deliver clear, executive‑ready dashboards with strong visual hierarchy, consistent design standards and drill‑through to detail.

Analysis and Business Partnering

• Partner with Finance on cash flow forecasting, accounts receivable, working capital and P&L reporting.
• Partner with Pricing on margin analysis, quote‑to‑actual variance and lane profitability.
• Partner with Operations and Sales on service performance, carrier and customer scorecards, and sales performance reporting.
• Translate analysis into concise, actionable recommendations for leadership.

Automation and Data Quality

• Build and maintain workflow automations and data integrations using the Microsoft Power Platform.
• Reconcile reporting to source systems and the general ledger; establish data quality checks and monitoring.
• Document data models, metric definitions and processes to support maintainability and knowledge sharing.

TYPICAL PROJECTS

• Financial forecasting and working capital dashboards for executive leadership.
• Customer‑ and carrier‑facing performance scorecards with secure external access.
• Lane, service and operational performance reporting.
• Pricing, margin variance and profitability analytics.
• Network optimization analysis (e.g., equipment reuse and route efficiency).
• Incentive compensation and sales performance models.
• Financial reporting and reconciliation from the accounting system.

TECHNOLOGY STACK

AREA Tools

SOURCE SYSTEMS Transportation Management System(TMS), ERP/accounting, customer service platforms

DATA INTEGRATION Five Tran, ADF

DATA WAREHOUSE Snowflake

BUSINESS INTELLIGENCE Power BI, DAX, Power Query, Claude AI

AUTOMATION Microsoft Power Platform (Power Automate, Dataverse)

COLLABORATION Microsoft 365

At Knichel Logistics our values shape how we work, collaborate, and serve our customers:

• Be Valuable – Show up with purpose, take initiative, and make a meaningful impact.
• Do the Right Thing – Act with integrity, honesty, and accountability - always.
• Be Customer Obsessed – Put the customer first in every decision and experience.
• Be Team Focused – Support each other, communicate openly, and win as one team.

MEASURES OF PERFORMANCE

First 30 Days

• Understands the data platform, key source systems and core business metrics.
• Supports existing reports, including refresh monitoring and issue resolution.
• Delivers a first enhancement to an existing report end to end.

By 90 Days

• Owns delivery of at least one new dashboard or reporting product.
• Has consolidated key business logic into the warehouse for consistent metric definitions.
• Has documented the models and security setup for owned reports.

By 180 Days

• Has delivered a secure external‑facing report with validated access controls.
• Is a trusted analytics partner to Finance, Pricing and Operations, with an agreed roadmap.
• Reporting reconciles to source systems, with data quality issues tracked and resolved.

What We Offer

• Play a key role in delivering best‑in‑class service to our customers.
• A collaborative work environment within our headquarters in Cranberry Township, PA.
• Competitive compensation and benefits package.