Job Summary
The Data Analyst Lead participates in the development of a data strategy to quickly cultivate a data-driven culture across the organization and to optimize our business performance by identifying growth opportunities and highlighting areas for improvement. The role will proactively communicate with stakeholders, team members and partners to support a high-performing team responsible for providing sales intelligence and data visualizations by leveraging business intelligence tools.
Essential Duties and Responsibilities
Coordinate and align priorities with the organization's strategic goals, partnering with business leadership to identify data and analytical needs via Value Approval
Deliver the business intelligence strategy that combines data visualization to make profitable, data-driven decisions
As a backbone to all things BI, establish and maintain high data integrity, quality, and governance standards. Craft data management practices are in place to support accurate and reliable data analysis.
Develop dashboards that provide up to date information to sales leaders and sales associates on KPIs and other business objectives and goals.
Depicting complex ideas, issues, and data designs to varied audiences.
Acting as project data architecture designer and reviewer for one or more scrum teams and making major data architectural decisions.
Identifying and consulting on high complexity data structure and/or data content issues.
Evaluating the project management and product development procedures of an organization by analyzing data statistics and market trends.
Gathering, processing, and collating requirements from Business stakeholders of the data platform.
Converting business requirements to technical specification documentation.
Leading the development of Semantics Layer and underlying data models to cater to analytics requirements.
Translate intricate datasets into intuitive and insightful visualizations that drive databased decision-making across the organization.
Distill insights from data and communicate recommendations to business customers
Oversee the selection, implementation, and management of BI tools and technologies.
Lead the creation and maintenance of reports, dashboards, and other data visualizations.
Translating raw data into visual contexts that is easy for business customers to interpret
Oversee BI projects/enhancements from inception to completion, ensuring they are delivered on time and within budget.
Present data insights to stakeholders and business leaders clearly and in a relatable way
Influence key decisions that would affect business decisions
Maintain an accurate data portfolio that includes high quality dashboards and data models
Mentor and upskill team members including data analysts, system admin and BI Developers
Participate in the exploration and evaluation of emerging reporting tools, technologies, and methodologies to drive innovation and leverage best practices to advance the organization's BI capabilities.
Minimum Required Qualifications
Bachelor’s degree in computer science, Information Systems, Business Administration, or a related field. A master’s degree can be advantageous.
4 - 8 years of experience in Data Management and/or Visualization
4 - 8 years of experience in a high-functioning, fast-paced work environment with strong business acumen.
Mentor junior data analysts and BI developers.
Proficient in Microsoft Office Suite
Knowledge of complex data integration from multiple data sources
Agility to changing priorities and situations
High attention to detail and accuracy
To be successful in this role, candidates must have demonstrated experience in organizing data in a way that allows business leaders to make informed decisions and reach their full potential by leveraging timely and accurate data.
Preferred Qualifications
Experience with Microsoft Azure, Amazon Redshift and DBT desired.
Proven expertise in executing data management, reporting & visualization in Power BI.
2 - 4 years of people leaders with high social intelligence desired.
2 - 4 years of people leaders with high social intelligence desired.
Mathematical modeling and other optimization methods to perform quantitative and qualitative data analysis
Excellent verbal and written communication skills to translate complex data into easy to understand, practical terms that every person can understand
Deep understanding of data governance, compliance, and privacy best practices
