
Business Intelligence Analytics Engineer III
Posted Sep 9

Posted Sep 9
This is a fully remote position, open to applicants in California.
• Create and implement dashboards featuring KPIs, drill-through options, and impactful visualizations.
• Utilize statistical analysis, predictive modeling, and advanced analytics techniques to identify trends and facilitate data-driven decision-making.
• Employ SQL, Python, R, Jupyter Notebooks, BI platforms, and analytics engineering methodologies to produce reporting, automation, advanced analytics, and business insights.
• Integrate and transform data from Salesforce, Workday, AWS, and enterprise data warehouses into the Domo data warehouse using contemporary ETL practices.
• Spearhead analytics projects through requirements gathering, solution design, development, testing, UAT, deployment, adoption, and continuous support.
• Convert complex business challenges into actionable analytics solutions.
• Suggest improvements in data architecture, data quality, and operational processes.
• Collaborate with business analysts, BI developers, data architects, and end users to achieve project goals.
• Design, develop, and sustain scalable data pipelines, ETL processes, and data integration solutions.
• Communicate project updates, risks, dependencies, and timelines while effectively managing stakeholder expectations.
• Provide technical guidance, mentorship, and development support to analysts, BI developers, and business partners.
• Advocate for self-service analytics, conduct user training, and enhance data literacy throughout the organization.
• Bachelor’s degree in Business, Computer Science, Information Systems, Analytics, or a related discipline, or an equivalent combination of education and relevant experience.
• Over 7 years of experience in business intelligence, analytics engineering, data warehousing, enterprise reporting solutions, or a related area.
• Ability to collaborate with business stakeholders to translate intricate business challenges into scalable analytics, reporting, and data solutions.
• Capability to lead analytics projects through the entire solution lifecycle.
• More than 5 years of experience with BI and visualization platforms such as Domo, Workday Prism Analytics, Power BI, Tableau, Cognos, Business Objects, or similar technologies.
• Strong expertise in SQL.
• At least 3 years of experience in designing and maintaining data models, ETL processes, data pipelines, and data integration solutions.
• Proficiency in Python, R, Jupyter Notebooks, or comparable analytical programming tools for automation, advanced analytics, or data engineering is highly preferred.
• Successful completion of a background check is mandatory as a condition of employment.
• Comprehensive health insurance benefits (medical, vision, dental).
• Flexible Spending Account (FSA) and Health Savings Account (HSA) for healthcare expenses.
• Life and accident insurance coverage.
• Assistance for adoption and fertility needs.
• Paid parental leave of up to 6 weeks.
• Short-term and long-term disability insurance.
• Paid time off for vacations, personal needs, and sick days.
• Up to 17 days of Choice Time Off (CTO) per calendar year for new hires, prorated based on hours worked.
• Up to 11 paid holidays each calendar year.
• 401(k) savings and investment plan or deferred compensation plan (if eligible).
• Employer matches 100% of the first 3% of contributions for eligible employees.
• Eligibility for a discretionary annual bonus.
Paystone
Paystone
Niche
Cashea
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