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Added 3 mins ago
GT
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Senior Operations Associate, 12-month contract
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Added 18 mins ago
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AstraZeneca

Manager, Data Analytics and Reporting

Mississauga, ON, Canada
Canada - Mississauga, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 9, 2026
Posting language: English
Posted: Oct 26, 2026

Original job description

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform to connect, work at pace and challenge perceptions. That’s why we work, on average, a minimum of three days per week from the office. But that doesn’t mean we’re not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

The Manager, Analytics & Reporting will lead the creation of trusted, scalable analytics and reporting that power the US Commercial business across Specialty Pharmacy, Specialty Infusion Providers, inventory management, and broader Trade & Distribution activities.

In this hands-on role, you will use Power BI, Snowflake, and SQL to build high-impact dashboards, semantic models, and scorecards that translate intricate data into clear action. You will partner closely with leaders in Trade & Distribution, Commercial Operations, Finance, Supply Chain, Market Access, and more to define meaningful measures, embed governance, and enable self-service analytics. How will you scale trusted insights across a growing portfolio and equip colleagues to act on them the moment it matters?

Accountabilities:

Specialty Pharmacy and Trade Analytics Leadership: Design, develop, validate, and maintain end-to-end reporting solutions spanning Specialty Pharmacy, Specialty Infusion Providers, specialty distribution, wholesalers, distributors, inventory management, product movement, orders, shipments, returns, and related channel activities - delivering visibility that drives timely, informed action.
Scalable Reporting Solutions: Build enterprise-grade dashboards, semantic models, scorecards, operational reports, executive insights, and self-service capabilities using Power BI, Snowflake, SQL, and other fit-for-purpose tools; optimize for performance, reliability, and reuse.
Stakeholder Partnership: Engage cross-functional leaders to understand business needs, define meaningful performance measures, and translate requirements into clear functional and technical designs that align to priorities and standards.
Actionable Insights Delivery: Analyze trends, performance drivers, operational exceptions, inventory risks, distribution patterns, and data anomalies to deliver concise, decision-ready recommendations that improve outcomes.
Data Quality and Reporting Governance: Establish and maintain business rules, data definitions, data mappings, reconciliations, validation procedures, documentation, data lineage, and controls to ensure accurate, consistent, transparent, and audit-ready reporting.
Innovation and Automation: Identify and implement opportunities to improve efficiency, scalability, user experience, and decision support through automation, advanced analytics, and responsible AI - accelerating time to insight.
Delivery and Prioritization: Lead intake, prioritization, planning, testing, release, and ongoing support of analytics products - balancing strategic initiatives, operational demands, capacity, and urgency.
Issue Resolution: Investigate data and reporting discrepancies, assess business impact, coordinate with data owners and technology teams to resolve root causes, and communicate outcomes clearly to stakeholders.Adoption and Self-Service Enablement: Provide training, guidance, and support so users understand dashboards, data definitions, and analytical capabilities - and can confidently interpret and act on insights.
Cross-Functional Support: Extend expertise beyond Specialty Pharmacy and Trade & Distribution to support broader analytics and reporting needs across the business as required.

Essential Skills/Experience:

Education and experience: Bachelor’s degree in analytics, data science, computer or information sciences, business, engineering, supply chain, life sciences, or a related field, with 5+ years of relevant experience in analytics, business intelligence, reporting, commercial operations, Specialty Pharmacy, Trade & Distribution, inventory management, healthcare, pharmaceutical, biotechnology, or a related industry.
Technical expertise: Strong hands-on experience with Power BI, Snowflake, and SQL, including data modeling, semantic models, DAX, Power Query, complex queries, data transformations, large datasets, cloud data platforms, dashboard development, performance optimization, and reporting governance.
Business and data knowledge: Demonstrated experience working with Specialty Pharmacy, Specialty Infusion Provider, specialty distribution, inventory, order, shipment, product, customer, provider, or related commercial data.
Analytics solution delivery: Experience translating complex business requirements into scalable dashboards, reports, scorecards, analytical models, and decision-support solutions using appropriate tools and technologies.
Data quality and governance: Strong understanding of data validation, reconciliation, data quality, business rules, documentation, data lineage, controls, privacy, security, and responsible use of commercial and healthcare-related data.
Communication and collaboration: Excellent communication, stakeholder management, problem-solving, and project management skills, with the ability to explain complex technical concepts and analytical findings to technical and nontechnical audiences.

Desirable Skills/Experience:

Relevant industry experience: 7+ years of experience in pharmaceutical, biotechnology, healthcare, Specialty Pharmacy, Specialty Infusion, specialty distribution, Trade & Distribution, commercial operations, supply chain analytics, or a related environment.
Specialty data expertise: Knowledge of Specialty Pharmacy, Specialty Infusion Provider, specialty distribution, claims, prescription, fulfillment, shipment, inventory, returns, order-status, provider, customer, and product data models.
Broader technology experience: Experience with additional data, analytics, and visualization technologies such as Python, R, Databricks, Spark, Azure, AWS, Tableau, Qlik, Looker, or similar platforms.
Advanced analytics and AI: Experience applying artificial intelligence, generative AI, machine learning, forecasting, anomaly detection, natural-language analytics, or automated insight generation to business problems.
Pharmaceutical data sources: Familiarity with platforms and data sources such as Veeva, IQVIA, Symphony Health, specialty pharmacy data, specialty distribution data, patient hub data, claims data, or related commercial datasets.
Leadership and influence: Experience mentoring analysts, leading workstreams, coordinating internal or external delivery partners, and influencing stakeholders in a matrixed organization without direct authority.

At Alexion, you will find a collaborative culture that encourages innovation and a diverse environment where your contributions are valued. You will have the opportunity to be at the forefront of rare disease research and make a meaningful difference in patients' lives.

Ready to lead and inspire? Apply now and take the first step towards a fulfilling career at Alexion, AstraZeneca Rare Disease.

⠀

Annual base salary for this position ranges from 115,693.60 to 151,847.85.

AstraZeneca is committed to providing fair and equitable compensation opportunities to all colleagues. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The range provided in this posting represents an offer pay range used in a majority of situations. The base pay offered will vary depending on multiple individualized factors, including the candidate's skills and experience, job-related knowledge, and other specific business and organizational needs. In some cases, offers outside the range may also be considered to address unique circumstances.

In addition, our permanent positions offer an annual Variable Pay Bonus/Short Term Incentive opportunity as well as eligibility to participate in our equity-based long-term incentive program (if applicable to role). Benefits offered for permanent roles include a competitive Flex Benefits & Retirement Savings Program, 4 weeks’ paid vacation, and annual Personal Days. Fixed Term Contract/Temporary positions (excluding students) are offered a Contract Benefits Program.

We are using AI as part of the recruitment process.

This advertisement relates to a current vacancy.

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More about this job

Responsibilities

The Manager will lead the creation of scalable analytics and reporting solutions to support US Commercial business activities including Specialty Pharmacy and Trade. They will partner with cross-functional leaders to define performance measures, ensure data governance, and deliver actionable insights through dashboards and scorecards.

Requirements

Candidates must hold a bachelor's degree in a relevant field and possess at least 5 years of experience in analytics, business intelligence, or commercial operations. Strong technical proficiency in Power BI, Snowflake, and SQL is required, along with experience in pharmaceutical or healthcare data environments.

Skills

Power BI
Snowflake
SQL
Data Modeling
Semantic Models
DAX
Power Query
Data Governance
Stakeholder Management
Project Management
Supply Chain Analytics
Commercial Operations
Data Validation
Automation
Business Intelligence
Reporting

Benefits

Variable Pay Bonus
Short Term Incentive
Equity-based long-term incentive program
Flex Benefits
Retirement Savings Program
4 weeks paid vacation
Personal Days

Visa sponsorship

Not detected in the job text

Keywords

Data Analytics
Reporting
Power BI
Snowflake
SQL
Specialty Pharmacy
Trade & Distribution
Commercial Operations
Supply Chain
Data Governance
Business Intelligence
Dashboard Development
Data Modeling
DAX
Power Query
Pharmaceutical
Biotechnology
Healthcare
Automation
Data Lineage
Inventory Management
Market Access
Finance
Performance Optimization
Stakeholder Management
Project Management
Data Validation
Cloud Data Platforms
Semantic Models
Scorecards

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