Brightspeed

Compensation

Full Description

Job Description: • Collaborate with cross-functional teams to drive data enablement and data driven business decisions ensuring seamless integration and minimal disruption to daily operations • Leverage Google Cloud Platform (GCP) services like BigQuery and Cloud Storage for efficient data warehousing, processing, and analytics at scale • Identify, document, analyze, and communicate requirements for reporting analytics and decision support tools • Conduct thorough analysis of data to identify patterns, anomalies, and signs of corruption • Design, develop and maintain our reporting infrastructure using the various reporting stacks including Power BI, SSRS, Tableau, Looker, and QlikSense • Lead efforts to apply software engineering best practices to analytics solutions • Lead the efforts for platform documentation, version controlling, and production releases • Utilize understanding of multiple data structures and sources to design, develop and implement decision support solutions, including data visualization, business intelligence, or data collection • Conduct research and analysis of business situations to contextualize and summarize data for end users • Develop innovative approaches to address complex data issues and business problems • Collaborate with internal stakeholders to define business requirements and uses those requirements to develop business intelligence reports • Evaluate business needs and objectives to inform your data architecture design solutions • Analyze data from internal and external sources to ensure accurate data for analysts & business consumption • Lead the effort to translate business needs into requirements to recommend and build reporting solutions • Responsible for companywide Operational Readiness Production Testing reporting including requirement traceability, development completion rate, defect close rate, and ELT readout dashboards • Support business case development with cost/benefit analysis for continuous funding and prioritization • Drive a scalable and robust cross-domain E2E transformation through consistent metrics, reporting, analytics and predictive data science for Consumer and Business markets Requirements: • Bachelor's degree in Statistics, Computer Science, MIS, or a similar quantitative field (preferred) • 5+ years of relevant experience as a data analyst, data engineer, BI developer, or BI analyst with a strong technical foundation • Hands-on development experience with at least one of the leading reporting tools, including Power BI, SSRS, Tableau, Looker, and QlikSense • Solid experience in scripting with SQL, Python, JSON, LookML, JavaScript, and/or R • Solid understanding of best engineering practices for the full software development life cycle (SDLC), including coding standards, code review, source control, build, test, deploy, and operations • Deep understanding of data warehousing concepts, database designs and data architecture • Datawarehouse experience with GCP, Azure, or SSMS • Experience with big data technologies and advanced data analytics • Good written and verbal communication skills • Strong analytical and problem-solving skills • Ability to work in a fast-paced environment concurrently on multiple projects with varying deadlines • Commitment to excellence - quality, detail and deadline driven • AI experience with a variety of data science and big data tools (R, Python, SPARK, etc.) Benefits: • Competitive medical, dental, vision, and life insurance • Employee assistance program • 401K plan with company match • Voluntary benefits • Paid time off