We are seeking a skilled and detail-oriented Data Analyst to join our Strategy team. This role combines data expertise and business insights. As a Data Analyst, your primary focus will be on the key pillars of gathering, cleaning, interpreting, visualizing, and presenting data, making it actionable for business partners. You will play a vital role in analyzing complex datasets to extract valuable insights that drive informed decision-making across our organization.  The ideal candidate is an expert at using large datasets of various kinds and presenting insights from those datasets to senior leaders. This candidate should have a passion for discovering solutions hidden in large data and working with stakeholders to create value for our clients.

Responsibilities:

• Collect and gather data from various sources, including our homegrown reporting interface, spreadsheets, and internal systems.
• Collaborate with stakeholders to understand data requirements and ensure data collection aligns with organizational goals.
• Identify and resolve data quality issues, including duplicates, errors, outliers, and inconsistencies.
• Develop and implement data cleaning procedures to maintain data integrity and accuracy.
• Apply data transformation techniques to standardize and format data for analysis purposes.
• Analyze data to identify patterns, trends, and correlations that address specific business questions or problems.
• Apply statistical techniques and data mining methods to uncover valuable insights from complex datasets.
• Collaborate with business-side stakeholders to understand the context and implications of the data analysis results.
• Establish relationships between data categories, defining data hierarchies and dependencies.
• Create visualizations, such as charts, graphs, and dashboards, to effectively communicate data-driven insights.
• Prepare comprehensive reports summarizing analysis findings, methodologies, and recommendations.
• Present analysis results to stakeholders, including management, clients, or other interested parties.
• Craft a clear end-to-end story based on data findings

Requirements:

• 4-7 years of experience in manipulating data for analysis and insights in a quantitative field.
• Experience with visualization tools like Tableau, Looker and proficiency in creating custom workbook templates
• Mastery of Google Sheets or Excel
• Experience with Google Slides or PowerPoint
• A drive to learn and master new technologies and techniques
• Strong problem solving skills with an emphasis on business insights
• visually compelling representations of data.
• Excellent communication skills to effectively present analysis findings and collaborate with cross-functional teams.
• Attention to detail and a strong commitment to data quality and accuracy.
• Familiarity with Retail B2C marketing is a plus. 
• A desire to build new processes to convey business insights 

The base pay range for this position is $90,000-$100,000/year. The base pay offered may vary depending on job-related knowledge, skills, and experience. Stock options and other incentive pay may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, depending on the position ultimately offered.