Microsoft Analytical Lead Health & Wellness 

United States 

793260338

Your role involves synthesizing industry knowledge, digital marketing expertise, and advanced analytical methods to craft compelling data stories that sway decision-makers using visualizations and narrative techniques. You should possess analytical, problem-solving, and consulting abilities, along with a proactive mindset and excellent partnership management skills. As an Analytical Lead, you will be innovative, thrive in a collaborative environment, and continuously improve your skills to stay ahead in the field.

Required/Minimum Qualifications

• 2+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
  • OR equivalent experience.

Additional or Preferred Qualifications

• 4+ years experience in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Marketing, Business, data analysis and reporting, data science, business intelligence, business and financial analysis
  • OR related field
  • OR equivalent experience.

• 2+ years of experience and proficiency using tools such as PowerBI/Tableau, DAX, SQL for data manipulation and visualization to turn massive, dynamic datasets into actionable insights.
• 2+ years in a partner or account management/client service/client-facing role.
• Experiencein a statistical programming language, such as R or Python
• Experience in digital media, data analysis, and data management.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Understanding the Business Landscape:

• Gain a deep understanding of various industries, considering trends, competitive dynamics, and the unique value propositions of clients. Look beyond surface-level concerns to uncover underlying business challenges and opportunities for Microsoft Advertising.

Data Utilization:

• Collaborate with internal and client teams to source relevant data, select the best statistical methods for integration, and address any data gaps or quality issues.

Analytical Approach:

• Apply suitable analytical methods to business inquiries, deliver actionable insights through analysis, and enhance forecasts and existing analyses. Ensure the chosen tools and techniques are apt for the context and provide constructive feedback on their features and functions.

Communicating Results:

• Craft components of presentations for both internal and client audiences that effectively narrate the findings, reports, and data visualizations. Strive for clarity and accuracy in conveying information, tailoring content to meet the needs of stakeholders and building trust with clients.

Teamwork and Expertise Development:

• Collaborate with both internal and client teams to enhance expertise in data sources, methodologies, models, analytical tools, and processes. Understand the specific needs of different industries to deliver impactful results. Engage with stakeholders to identify opportunities for utilizing successful resources and solutions from past projects, and provide guidance on analysis and interpretation.

Data Privacy and Ethical Standards:

• Keep up-to-date with data privacy laws and governance, knowing when to seek advice. Assess how new guidelines affect your work and ensure that all deliverables comply with ethical standards and controls.

• Embody our