Staff Business Intelligence Engineer
Vadodara, India
Qualifacts
Job Description:
Staff Business Intelligence Engineer
The Staff Business Intelligence (BI) Engineer is responsible for designing and implementing data acquisition, analytics, and reporting strategies to support Product & Engineering Operations (P&E Ops). This role plays a critical part in consolidating and optimizing engineering and product KPIs from multiple systems (Azure DevOps, Atlassian, Salesforce, and other internal platforms), ensuring data-driven decision-making and operational efficiency.
The Staff BI Engineer will be instrumental in developing automated data pipelines, establishing a reporting cadence, and supporting ad hoc analytics requests. The role requires expertise in data gathering, data modeling, and visualization tools to build scalable and cost-effective analytics solutions. This position reports directly to VP, Product & Engineering Operations.
Key Responsibilities:
Data Acquisition & Integration
- Develop and maintain data pipelines using APIs, direct database queries, and ETL processes to extract data from systems like ADO, Jira, Salesforce, and other internal platforms.
- Architect and manage data models,(CS1) refresh schedules, retention policies, and automated ingestion processes to ensure data integrity and availability.
- Work closely with application owners and DevOps teams to define data structures, transformation logic, and security measures, if applicable.
KPI Development & Analytics
- Analyze complex business problems by identifying patterns and trends in product and engineering data.
- Develop standardized KPIs and dashboards that provide meaningful insights into team performance, productivity, and process efficiency.
- Collaborate with cross-functional stakeholders (Product, R&D, Engineering Leadership) to refine and expand KPI reporting frameworks.
Reporting & Visualization
- Build automated, self-service dashboards and reports using Power BI, Tableau, Looker, or other BI tools to deliver actionable insights.
- Ensure that reporting solutions are scalable, cost-effective, and aligned with organizational needs.
- Own the P&E Ops KPI reporting framework, ensuring timely updates and accuracy in published reports.
Advanced Analytics & AI Initiatives
- Aid in defining processes for future phases of advanced analytics including natural language processing, machine learning, and AI (Artificial Intelligence).
Governance & Documentation
- Ensure detailed documentation, runbooks, and version control for all reporting solutions.
- Identify and resolve data inconsistencies, system glitches, and reporting errors through proactive monitoring and troubleshooting.
- Maintain compliance with data security and governance policies for cloud-based and on-prem analytics environments.
Qualifications & Experience
Education & Certifications:
- Bachelor’s degree in Computer Science, Information Technology, Data Science, Business Analytics, or a related field.
Work Experience:
- 5+ years of experience in BI Engineering, Data Analytics, or a related field focused on data acquisition, reporting, and visualization.
Technical Skills & Knowledge:
- Strong experience with APIs, data extraction, and automation for engineering/product systems (Azure DevOps, Jira, Salesforce).
- Proficiency in SQL, Python, or R for data querying and transformation.
- Experience with cloud-based data solutions (Azure, AWS, Snowflake, etc.).
- Strong expertise in BI tools like Power BI, Tableau, Looker, Business Objects.
- Experience designing KPIs and dashboards that translate data into actionable insights.
- Knowledge of NLP, Machine Learning, and AI-driven analytics is a plus.
Soft Skills & Abilities:
- Ability to extrapolate and communicate data insights at an executive level.
- Strong problem-solving skills with a strategic mindset.
- Experience in cross-functional collaboration with engineering, product, and executive stakeholders.
- Ability to work independently and manage multiple priorities in a fast-paced environment.
Qualifacts is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs AWS Azure Business Analytics Business Intelligence Computer Science Data Analytics Data pipelines DevOps Engineering ETL Jira KPIs Looker Machine Learning NLP Pipelines Power BI Python R R&D Salesforce Security Snowflake SQL Tableau
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