Data Analyst Power Bi

PETER KERN

Data Analyst

https://www.linkedin.com/in/petekern/

P: 408-***-****

E: ********@*******.***

Profile

A seasoned data analyst with over 20 years of experience supporting Fortune 500 companies, driving business value through data-driven insights and process optimization. Proven ability to collaborate across sales, logistics, and IT teams to deliver actionable analytics, streamline operations, and support scalable growth initiatives. Recognized for building effective reporting solutions, leading process transitions, and aligning analytics with strategic business goals.

Core Competencies

• Advanced Analytics & BI Tools: Proficient in data mining, ETL processes, modeling, and the development of dashboards and visualizations using Power BI (DAX), Tableau, Excel (Power Query, Power Pivot, SharePoint), and Google's suite of analytical solutions.

• Technical Proficiency: Skilled in SQL, Python, Java, and other programming languages. Strong background in big data environments, working with structured/unstructured data across cloud platforms including Azure, AWS, GCP, and Oracle OCI.

• Data Strategy & Reporting: Expertise in descriptive, diagnostic, predictive, and prescriptive analytics. Adept at designing and delivering standard and ad hoc reports to drive insights across departments.

• Process Optimization: Led initiatives to identify inefficiencies, develop SOPs, and implement business process improvements across enterprise environments. Experience in root cause analysis, risk mitigation, and quality control.

• Cross-Functional Collaboration: Strong communicator with a track record of effective collaboration with business units, stakeholders, and offshore teams. Experience includes sales operations, procurement, logistics, and project/program management.

• Enterprise Systems & Methodologies: Deep understanding of ERP, CRM, SaaS, ITIL, ITSM, SDLC, and 3DM frameworks. Solid grounding in CS fundamentals, including algorithms, data structures, and software development principles.

• AI & Emerging Tech: Familiar with applications in AI, machine learning, computer vision, and deep learning to support evolving business analytics needs.

PROFESSIONAL EXPERIENCE

Starbucks Corporation

Seattle, Washington Oct. 2022– Jan. 2023

Data Analyst, Supply Chain, Logistics and Business Systems

• Drew on multiple analytical concepts and results to tell a story, highlight areas of opportunity, and guide stakeholders to optimal decisions.

• Clarified how insights from data relate to business processes and technological innovations.

• Utilized Power BI (DAX), Excel, Power Query, Power Pivot, PowerApps, Power Automate, SharePoint, and Tableau solutions to explore areas of opportunity for improved performance.

• Leveraging new insights via data-driven decisions empowering stakeholders to optimize their business strengths.

• Enabled organization to increase efficiency, profitability, and competitive advantage.

• Identified potential risks and planned effective contingency measures.

• Facilitated acquiring and integrating data from multiple data sources, performing exploratory analysis to identify data relationships.

• Ability to create data models to forecast trends, identify market disruptions, and assess risk levels to the organization.

• Strong aptitude in intelligence analysis, knowledge acquisition, requirements gathering, and research skills.

• Worked on activities of diverse scope, requiring minimal interpretation of policies and guidelines.

• Independently analyzes and resolves business issues, requiring minimal guidance.

• Assessed team members' use of analytics applications and assisted with optimization training to further develop user proficiency, efficacy, and satisfaction.

• Developed and implemented new methodologies for accessing and utilizing external VAR data sets.

• Determined overall logistical health of current inventories and conditions for future expansion initiatives.

• Over 6 years of progressively responsible experience in information technology, data analysis, or project management experience.

Tesla Industries, Inc.

Palo Alto, California Sept. 2017 _ Sept. 2022

Data Analyst, Computer Vision, ML/AI

• Conducted data analysis involving extraction, manipulation, modeling, and evaluation of statistical metrics for ML applications.

• Regularly used Power BI, Excel, Power Query, Power Pivot, PowerApps, Power Automate, SharePoint, Tableau ERP, and CRM solutions.

• Frequently used other off-the-shelf and custom-developed analysis applications to explore areas for improved performance and execution.

• Work with cross-functional teams to define project strategy, scope, goals, and deliverables.

• Present and communicate data-driven insights by preparing impactful visualizations and analyses to assist in developing strategic goals.

• Extract and transform data for deep neural networks advancing AI objectives for ML/Computer vision solutions.

• Assess the validity, accuracy, completeness, and reliability of data collected and reported.

• Strong competencies in intelligence analysis, requirements gathering, research skills, knowledge acquisition, and project management.

• Facilitated the development of tools to increase automation and efficacy of data authentication processes.

• Collaborating with stakeholders and presenting recommendations for strategic plans.

• Regularly evaluated innovative custom data analysis toolsets for viability and effectiveness.

• Directed end-user surveys on innovative tools to better understand the impact on productivity.

Tesla Energy Solar Power

San Mateo, California Jul. 2016 _ Dec. 2016

Senior Sales Executive/Field Consultant

• Excelled in project management activities from SMEs to large corporate environments.

• Consistently achieved revenue growth of 120% while managing multiple initiatives.

• Educated the public on renewable green solutions concisely and articulately.

• Fostered a greater understanding of paradigm shifts in cost-effective clean energy.

Hewlett Packard Enterprise,

Sunnyvale, California Jan. 2006 _ Dec. 2009

Account Executive/Project Manager

• Collaborated with the VP of global channel sales, building a novel engagement team for HP Enterprises.

• Assessed and quantified project management metrics and KPIs.

• Over two years of supervising the Global Channel Sales team.

• Worked with the sales and marketing group, and developed insights, trends, and patterns from raw data utilizing web analytics.

• Functioned as an SME on global channel sales strategic objectives and initiatives.

• Experienced in using most PM methodologies, i.e., Waterfall, Agile, Scrum, and Kanban.

• Improved cooperation and accelerated engagement assignments via existing best practices.

• Adept in vital project management skills, i.e., leadership, communication, execution, and strategy.

• Key functions included considerable usage of Salesforce, SAP CRM, Excel, and the Microsoft Office suite of solutions.

• Used automated integration tools like APIs to ensure systems communicate effectively and share real-time data.

• Achieved primary goals on key assignments, completing the implementation for the global channel sales team.

Hewlett Packard Enterprise/Mercury Interactive

Mountain View, California Jan. 2000 _ Aug. 2004

Senior Key Account Sales Executive

• Motivated and mentored team, forecasting sales figures and qualified prospects for immediate opportunities.

• Assessed and quantified project management metrics and KPIs.

• Produced and executed concise, targeted marketing demos for prospects.

• Worked with the sales and marketing group, and developed insights, trends, and patterns from raw data utilizing BI solutions and analytics.

• Practiced in various project management methodologies such as Waterfall, Agile, Scrum, Lean, and Kanban.

• Improved cooperation and accelerated engagement assignments via existing best practices.

• Supervised and maintained relationships with key prospects at the executive level.

• Developed a multifaceted approach to address the business needs of each customer.

• Possesses vital project management skills, i.e., leadership, communication, execution, and strategy.

• Primary responsibilities included extensive utilization of Salesforce CRM, Siebel CRM, Excel, Microsoft Office, and other BI solutions.

• Additional responsibilities involved creating and maintaining up-to-date documentation related to customer sales and transactions for my team.

• Designed presentations and adapted sales collateral for complex sales processes.

• Excelled at leadership activities within the assigned area of responsibility and team achievements.

EDUCATION

San Francisco State University

BS - Business / Computer Information Systems

Cal. State University - East Bay

AS – Economics / Computer Information Systems

Diablo Valley College

AS/AA— Computer Science/Liberal Arts

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