Data and Analytics Analyst II

Pharma Logistics; Illinois; On-site; USD 70,000 - 82,000; Full time

Job summary

A leading logistics company is seeking a Senior Analyst – Data & Analytics to bridge the gap between raw data and business insights. You will develop enterprise data standards and create analytics solutions that enhance decision-making processes. The ideal candidate has a Bachelor’s degree in a relevant field and 2-3 years of experience in data analytics, utilizing SQL and Python for data management and analysis.

Qualifications

• 2-3 years of experience in data analytics, business intelligence, or applied data strategy.
• Proficiency with SQL for data extraction, transformation, and validation.
• Ability to communicate findings to both technical and non-technical audiences.

Responsibilities

• Support the creation and enforcement of data quality standards.
• Design, build, and maintain dashboards and reports.
• Analyze operational and financial data to identify trends.

Skills

Data analysis

Attention to detail

Documentation

Problem-solving

Education

Bachelor’s degree in Data Science, Computer Science, Statistics, Business Analytics, or related field

Tools

SQL

Python

Power BI

Tableau

Job description

This range is provided by Pharma Logistics. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$70,000.00/yr - $82,000.00/yr

Direct message the job poster from Pharma Logistics

Reports To: Head of Data Science & Analytics

Job Summary: Pharma Logistics is seeking a Senior Analyst – Data & Analytics to help build the intelligence layer that powers data-driven decisions across the organization. In this role, you’ll bridge the gap between raw data and business insight, shaping how information is defined, trusted, and used.

You’ll play a key role in developing enterprise data standards, governance practices, and quality frameworks that ensure consistency and confidence in every report. At the same time, you’ll bring data to life through dashboards and analytics solutions that surface performance trends, operational drivers, and financial outcomes.

This is an ideal opportunity for an analytically curious, detail-oriented individual who’s passionate about turning structure into strategy, improving how data flows, how it’s interpreted, and how it informs real decisions.

Job Duties and Responsibilities

• Strengthen the organization’s data foundation by supporting the creation and enforcement of data quality standards, validation processes, and business rules.
• Develop and maintain data definitions, dictionaries, and documentation to ensure clarity and consistency across systems and domains.
• Partner with IT and business teams to align data structures and integrations with governance and analytical requirements.
• Support metadata management, lineage tracking, and version control for analytical datasets.
• Contribute to the continued evolution of Pharma Logistics’ enterprise data strategy and stewardship practices.

Reporting & Business Intelligence Development

• Design, build, and maintain dashboards, reports, and ad-hoc analyses that provide clear visibility into key performance metrics.
• Validate and reconcile data between source systems, data warehouses, and reporting layers to ensure accuracy and trust.
• Translate complex business needs into structured, visually engaging analytical outputs.
• Support the delivery of scalable, reusable BI solutions that promote analytic consistency across departments.
• Collaborate with stakeholders to refine data visualization standards and enhance decision-making through insight-driven design.

Analytics & Insight Generation

• Analyze operational and financial data to identify trends, patterns, and opportunities for improvement.
• Assist with data automation, transformation, and validation scripting using SQL, Python, or R.
• Work closely with Product, IT, and Operations to prioritize analytics initiatives and elevate data quality across workflows.
• Support advanced initiatives such as forecasting, benchmarking, and statistical modeling as analytics maturity expands.

Required Education, Skills, and Experience

• Bachelor’s degree in Data Science, Computer Science, Statistics, Business Analytics, or a related field.
• 2-3 years of experience (including internships or project-based experience) in data analytics, business intelligence, or applied data strategy.
• Proficiency with SQL and/or Python for data extraction, transformation, and validation.
• Experience with BI tools such as Power BI, Sigma, Tableau, or Qlik.
• Exceptional documentation, organization, and communication skills.
• Strong understanding of data modeling, metrics design, and KPI development.
• Demonstrated problem-solving mindset with high attention to accuracy and detail.
• Ability to communicate findings to both technical and non-technical audiences.

Beneficial Education, Skills and Experience

• Experience working with Snowflake, Azure, or other cloud data warehouse environments.
• Familiarity with DBT or similar ETL/ELT tools.