Data Analyst

Lattice Overview

There is energy here…energy you can feel crackling at any of our international locations. It’s an energy generated by enthusiasm for our work, for our teams, for our results, and for our customers. Lattice is a worldwide community of engineers, designers, and manufacturing operations specialists in partnership with world-class sales, marketing, and support teams, who are developing programmable logic solutions that are changing the industry. Our focus is on R&D, product innovation, and customer service, and to that focus, we bring total commitment and a keenly sharp competitive personality.Energy feeds on energy. If you flourish in a fast paced, results-oriented environment, if you want to achieve individual success within a “team first” organization, and if you believe you can contribute and succeed in a demanding yet collegial atmosphere, then Lattice may well be just what you’re looking for.

Responsibilities & Skills

Lattice Semiconductor is looking for a passionate Data Analyst. The successful candidate will turn data into information, information into insight and insight into business decisions. Data analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data analysts will develop analysis and reporting capabilities. They will monitor performance and quality control plans to identify improvements.

Objectives of this Role

• Develop, implement, and maintain leading-edge analytic systems, taking complicated problems and building simple frameworks
• Identify trends and opportunities for growth through analysis of complex data sets
• Evaluate organizational methods and provide source-to-target mappings and information-model specification documents for data sets
• Create best-practice reports based on data mining, analysis, and visualization
• Evaluate internal systems for efficiency, problems, and inaccuracies, developing and maintaining protocols for handling, processing, and cleaning data
• Work directly with management and users to gather requirements, provide status updates, and build relationships
  
  

Daily And Monthly Responsibilities

• Work closely with project managers to understand and maintain focus on their analytical needs, including identifying critical metrics and KPIs, and deliver actionable insights to relevant decision-makers
• Proactively analyze data to answer key questions from stakeholders or out of self-initiated curiosity with an eye for what drives business performance, investigating and communicating areas for improvement in efficiency and productivity
• Create and maintain rich interactive visualizations through data interpretation and analysis integrating various reporting components from multiple data sources
• Define and implement data acquisition and integration logic, selecting appropriate combination of methods and tools within defined technology stack to ensure optimal scalability and performance of the solution
• Develop and maintain databases by acquiring data from primary and secondary sources, and build scripts that will make our data evaluation process more flexible or scalable across data sets
  
  

Skills And Qualifications

• Bachelor’s degree in Mathematics, Computer Science, Economics, or Statistics
• 7+ years’ experience mining data as a data analyst
• Experience with BI tools such as Tableau, PowerBI and Oracle Cloud Analytics (FAW)
• Proven analytic skills, including mining, evaluation, analysis, and visualization
• Technical writing experience in relevant areas, including queries, reports, and presentations
• Strong SQL or Excel skills with the ability to learn other analytic tools
• Ability to work with stakeholders to assess potential risks.
• Ability to analyze existing tools and databases and provide software solution recommendations.
• Ability to translate business requirements into non-technical, lay terms.
• High-level experience in methodologies and processes for managing large-scale databases.
• Demonstrated experience in handling large data sets and relational databases.
• Understanding of addressing metadata standards.
• High-level written and verbal communication skills.
  
  

Preferred Qualifications

• Prior experience with database, data model design and segmentation techniques
• Proven success in a collaborative, team-oriented environment
• Experience with Oracle enterprise class ERP, CRM, CPQ System
• Experience with cloud computing/data warehouse such as AWS/Snowflake