Business Analyst

McKesson•Mississauga, ON

6d•$81,500 - $108,600•Hybrid

About The Position

As a Business Data analyst, you will play a critical role in shaping the future of our data analytics initiatives. You will work closely with business leadership and cross-functional teams to define, build, and deploy cutting-edge analytics solutions that drive business outcomes. Your deep understanding of data, business strategy, and product management will ensure that our analytics solutions are aligned with our organizational goals and deliver maximum value. When needed, you will get hands-on, helping to create analytical solutions and insights that support our business.

Requirements

Bachelor's degree or equivalent and typically requires 4+ years of relevant experience.
Bachelor's or master's degree in data science, Statistics, Computer Science, Economics, or a related field.
5+ years of experience in data analytics, with at least 2 years in a leadership or mentorship role.
Experience with PowerBI, Tableau or other data visualization platforms
Proficiency in SQL, Python, R, or similar analytical tools.
Experience with data visualization platforms such as Power BI, Tableau, or Looker.
Strong understanding of statistical analysis, predictive modeling, and data mining techniques.
Experience with analytical tools such as Databricks & Snowflake
Excellent communication and stakeholder management skills.
Ability to manage multiple projects and priorities in a fast-paced environment.
Leadership Skills: Exceptional ability to lead, mentor, and inspire teams, fostering an environment of accountability and innovation.
This position operates under consultative direction towards broad corporate goals, requiring a high degree of initiative and independence in achieving project outcomes.
Strategic Thinking: Strong analytical skills and the ability to develop strategies that align with long-term objectives.
Problem Solving: Innovative and creative problem-solving skills capable of handling complex challenges.
Proficiency in Python, SQL, Spark, and cloud-native tools.

Nice To Haves

Experience with SAP and IBM DataStage is also extremely beneficial.

Responsibilities

Collaborate with Business Leadership: Partner with executives and business leaders to understand their strategic goals and identify opportunities where data analytics can provide actionable insights and drive decision-making.
Communicate complex data concepts in a clear and concise manner to stakeholders at all levels of the organization.
Support a cross-functional team and provide in-depth data insights for complex business problems that can be approached with advanced analytics
Work closely with the other Data Engineers and Scientists to deliver results
Leverage tools and resources to plan, evaluate and execute strategic initiatives
Strong delegation and management skills to ensure work is conducted in a timely, quality fashion by internal and external partners and multi-shore teams/resources.
Continuously improve and optimize business processes and operations.
Identifying, publicizing the tech debt across data landscape and championing addressal pursuits.
Data Engineering and Analytics support
Thinks in automation first, enterprise first and reusability mindset.
Develops solution architectures and designs and helps build consensus among teams to champion the data solutions.
Collaborates with and across Agile teams to design, develop, test, implement, and support technical solutions with full stack of Data technologies, tools and processes.
Implements data governance practices in partnership with business stakeholders and peers, data governance office teams and solution teams to advocate for data literacy and data democratization across enterprise.
Builds scalable and reliable data engineering solutions for moving data efficiently across systems from various internal and external data sources in the batch and real-time mode
Analyzes, models structured data and implement/scale algorithms to support analysis using advanced statistical and mathematical methods from statistics, data mining, econometrics, and operations research, using distributed and parallel programming techniques.
Must be well versed in general infrastructure technology and understand public and private cloud concepts such as Software as a Service (SaaS), Platform as a Service (PaaS), Desktop as a Service (DaaS), and Infrastructure as a Service (IaaS)
Experience with automation to Infrastructure (IaC - Infrastructure as Code)
Troubleshooting, Monitoring and Performance Tuning of various software components of various data science analytical solutions, RESTful web services etc...
Understanding of large database mining tools and statistical languages utilized to efficiently build approaches and execute on analytical use cases.
Specific experience with Snowflake, Databricks, Azure data factory, PySpark, Analytical SQL, Alation, R, Python.
Experience with SAP and IBM DataStage is also extremely beneficial.
Communicate results and educate others through reports and presentations.
PowerBI Development: Create visually compelling and interactive dashboards, reports, and data visualizations using Power BI, leveraging best practices for data visualization and storytelling.
Conduct data analysis to identify trends, patterns, and insights, and provide recommendations to improve business performance.
Provide training and support to end-users, empowering them to effectively utilize Power BI tools and make informed decisions based on data.