AI Business Intelligence Engineer id-1704
About Persistent
We are a trusted Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what’s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world including 14 of the 30 most innovative US companies, 80% of the largest banks in the US and India, and numerous innovators across the healthcare ecosystem.
Our growth trajectory continues, as we achieved the milestone of $1 billion in annualized Erun rate and reported $255.56M in revenue in Q2 FY23, representing 40.2% year-over-year growth. In addition, we’ve onboarded over 3,000 new employees in the first half of our fiscal year, bringing our total employee count to over 22,000 people located in 18 countries across the globe. We’re also pleased to share that Persistent has been included in three indices of the National Stock Exchange in India- the Nifty Midcap 50, Nifty IT, and the Nifty Midcap Liquid 15. Throughout this market leading growth, we’ve maintained strong employee satisfaction - over 94% of our employees approve of the CEO and 89% would recommend working at Persistent to a friend.
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About Position
As an AI Business Intelligence (BI) Engineer, you will be responsible for building and maintaining BI dashboards, reports, and analytics solutions using Tableau and QuickSight. You will collaborate with data scientists, data engineers, and business stakeholders to integrate AI-driven insights into BI processes and ensure data-driven decision-making across the organization. Additionally, you will design and implement solutions using AWS cloud technologies and leverage Python for data processing and automation.
Role : AI Business Intelligence (BI) Engineer
Location : Mountain View, CA ( 100% onsite)
Hire Type (FTE/Contract): Contract
What You'll Do
BI Development:
- Design and implement interactive dashboards and reports using Tableau and Amazon QuickSight.
- Create data visualizations and reporting tools to enable decision-making for business leaders and stakeholders.
- Ensure high-quality data and performance optimization in BI solutions.
Data Integration & ETL:
- Collaborate with data engineering teams to create efficient data pipelines.
- Integrate data from multiple sources (databases, APIs, cloud platforms) into the BI tools.
- Perform data transformation and cleansing tasks using Python and AWS data services.
AI Integration into BI:
- Work with data scientists and AI teams to embed machine learning models and AI insights into BI dashboards and reports.
- Automate data-driven decision processes using predictive analytics and AI models.
AWS Cloud Infrastructure:
- Leverage AWS services (e.g., S3, Redshift, Glue, Lambda) to build scalable and efficient BI solutions in the cloud.
- Ensure the security, scalability, and performance of BI and AI systems on AWS.
Collaboration & Communication:
- Work closely with business analysts and stakeholders to understand business needs and provide tailored BI solutions.
- Communicate technical insights to non-technical stakeholders effectively.
Continuous Improvement & Optimization:
- Monitor and optimize BI system performance, data quality, and user experience.
- Stay up to date with the latest trends in BI, AI, and AWS to continually improve the solutions provided.
Expertise You'll Bring
Must have:
- 3+ years of experience in business intelligence, data analytics, and AI implementation.
- Strong experience with BI tools (Tableau, QuickSight, Power BI, etc.).
- Proficiency in Python for data processing, automation, and machine learning.
- Experience with AWS services (S3, Redshift, Lambda, Glue, etc.) for building cloud-based BI and AI solutions.
- Hands-on experience integrating AI or machine learning models into BI workflows.
- Experience with data warehousing concepts and tools (Redshift, Snowflake, etc.).
Technical Skills:
- Strong understanding of BI tools and dashboard/report creation (Tableau, QuickSight).
- Proficiency in Python (Pandas, NumPy, SciPy, etc.).
- Experience with SQL and data querying.
- Familiarity with AWS data and analytics services (Redshift, Athena, QuickSight, Glue).
- Knowledge of data integration and ETL processes.
- Familiarity with machine learning models and AI frameworks.
Soft Skills:
- Excellent problem-solving and analytical skills.
- Strong communication skills to convey complex technical concepts to non-technical stakeholders.
- Ability to work in a collaborative and cross-functional environment.
- Self-motivated with a strong focus on continuous learning and improvement.
Benefits
- Competitive salary and benefits package.
- Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications.
- Opportunity to work with cutting-edge technologies.
- Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards.
- Annual health check-ups.
- Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents.
Our company fosters a values-driven and people centric work environment that enables our employees to:
- Accelerate growth, both professionally and personally.
- Impact the world in powerful, positive ways, using the latest technologies.
- Enjoy collaborative innovation, with diversity and work-life wellbeing at the core.
- Unlock global opportunities to work and learn with the industry’s best.
Let's unleash your full potential. See Beyond, Rise Above
