Data Analyst focusing on Card Machines at Sicredi. Driving data - driven decisions and delivering analytical insights in a collaborative environment.
About the role
- Senior Business Data Analyst at McKesson working with business leadership on data analytics initiatives. Partnering with cross-functional teams to deliver insights that drive business outcomes.
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.
- 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.
- 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.
- 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.
Requirements
- 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.
- 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.
Benefits
- Professional development opportunities
- Annual bonus or long-term incentive opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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